{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "8LKIA_qnVKOz" }, "source": [ "### Agenetic Data generation with CAMEL and finetuning Qwen models with Unsloth\n", "\n", "For more detailed usage information, please refer to our [cookbook](https://colab.research.google.com/drive/1sMnWOvdmASEMhsRIOUSAeYuEywby6FRV?usp=sharing)\n", "\n", "To run this, press \"*Runtime*\" and press \"*Run all*\" on a **free** Tesla T4 Google Colab instance!\n", "
\n", " \n", " \n", " \n", "⭐ Star us on [*Github*](https://github.com/camel-ai/camel), join our [*Discord*](https://discord.camel-ai.org) or follow our [*X*](https://x.com/camelaiorg)\n", "
\n", "\n", "CAMEL and Unsloth make an excellent pair. In this notebook we will combine the two to train a model to be proficient at content on a page\n", "\n", "You will learn how to do data generation with CAMEL, how to train, and how to run the model." ] }, { "cell_type": "markdown", "metadata": { "id": "PwA0mbQnPRby" }, "source": [ "![SFT v2.png](data:image/png;base64,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)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "2eSvM9zX_2d3" }, "outputs": [], "source": [ "%%capture\n", "!pip install unsloth\n", "# Install CAMEL-AI with no optional dependencies\n", "!pip install camel-ai==0.2.16\n", "# Get Unsloth latest unsloth nightly\n", "!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git\n", "!pip install firecrawl" ] }, { "cell_type": "markdown", "metadata": { "id": "r2v_X2fA0Df5" }, "source": [ "First we will set the OPENAI_API_KEY that will be used to generate the data.\n", "\n", "CAMEL supports many other models. See [here](https://docs.camel-ai.org/key_modules/models.html) for a list." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "gq4Q0u0ZTvGs", "outputId": "87e418af-a179-43d4-c7ea-db6c835ce526" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Enter your OpenAI API key: ··········\n", "Enter your Firecrawl API key: ··········\n" ] } ], "source": [ "from getpass import getpass\n", "import os\n", "\n", "openai_api_key = getpass('Enter your OpenAI API key: ')\n", "os.environ[\"OPENAI_API_KEY\"] = openai_api_key\n", "\n", "# Generate an API key at https://www.firecrawl.dev/app/api-keys\n", "firecrawl_api_key = getpass('Enter your Firecrawl API key: ')\n", "os.environ[\"FIRECRAWL_API_KEY\"] = firecrawl_api_key" ] }, { "cell_type": "markdown", "metadata": { "id": "iP5-hPz-0T6x" }, "source": [ "Next we will setup our model for training using Unsloth." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 434, "referenced_widgets": [ "7b921451da464be7a40fe1cef49d174d", "dba47e477a5a4a8b8a1fccc1271a3e25", "fe90119ee12a4beca6e6b9668fcd74c3", "68efe057c7574f02a0bf77feaaec4127", "ae705acbf2b9471ba7f4f3da6467bf89", "cf9963e868184b139be4277c1db18f87", "e5523145b5d847e285c9da0d113cbdac", "5ea5fb032dde44abb7f7562354c1635c", "d64e4fa0340f4cf3be054dcb6150fb56", "10fa3ded8c434efda5b06c31e4910e1a", "aa281ccc7244493ab5915f9fcc6a05f0", "b4909ac1f55841bfa8fadcdd406988f7", "550d2ba6f8ce4c6f92e9898eaf0fd104", "ca083e75197848fcb7677d83da9fafc0", "0a6553e5a2cc4e1cbe44eef3424269fc", "0ad931d125eb4537b62018cced82a9c1", "f55aad6510524f04bf0131838cb35b93", "5870d16cf378448f821137a9fa742487", "1e886c642507432c9681f9050dd75131", "1bea5ba86a094a52bc40ee06756a5ff6", "c673346cc09d42f68c72eb20a836c389", "6264432f275249e786e94a7ef3381f63", "3ef2ce92302745ca8cc3544a99fc2a0b", "40ae2519f5c440cda90fd7e8646ff6b5", "91c8f60f61cd47799edf882f670588a9", "5068a025c8f64ca381c973fd4b2396a7", "b4186433b73f493fa008522642e29b54", "8223cb73c0b34a12b172c3f769aba980", "5c5703f40a7b478a8fe8cac071d129be", "e8ad020d89f842dc9dd81b50f615c3df", "5b6b9cffe96f4e9299da47f7fa82ef19", "47020480d7fc437e87d8a60e8598861a", "1f895d88a6a34e4090115a060dfae2c6", "48f072ab5f434f619ed0b84ce4cd0339", "745f80fef5ff48f9bf11f61a4db0fb7c", "398380f4ce264ed59c352aa9cff8780f", "250bb5a8e4974f489cacf8935639266b", "a13698bb5352429facc7acbbd870e86e", "ba8022247f914de9bbea92f1a7fc2d0d", "0ce4dfcfbcc043199356303099f6cd00", "e34515dfbff04309a9b374c63da8b750", "0e077e463090410aa4ac595107a50595", "e0da6bb808034422b9c91ba039f28feb", "ae732c07c8874ce5840bc2c2ffacea7e", "a3a4eb6b28184bef88dd6da5250ea71b", "42c80f66a03b4bf889c2f86573cb8d8c", "e055c79cc4584e47a161eb36fdb3a935", "34ba31c626e8412ebd318f3b4adcb59f", "490d6a0602dc44dea0839d9d8eb29445", "71efbc48cfd444e2b38180f1fbc96b53", "c07b4003587646da84b3f0bfee914414", "f366bfd4370646969019c014c2f41271", "a6cae26b6d4d4230afb9a7be7969fce9", "ea8988a5c1ed4be1932dbbceadfc35bd", "0f32bd72b783416ebc855b656e388541", "f40104c96ce24be18c669ee1393df515", "7bc0a19504c544d0b60d682cddb8f7dc", "f040392a1a944849a33186f94b2661b7", "19d56661827e4b3abeb0c63fb66f0b0b", "4d9abd67f36249d8bff10616a4e2f254", "6bdd9c6f75ca4828bee53c35fd0b319c", "bb8d89901df1453697d59fcdbafbcab3", "b15a226cc63d491aa888e975e564be57", "02468f6e89db41ed9b14e2683a600278", "e4aa2bf364f04dc7b3407141355f88f1", "8fc431678b2542a1b6ea60fd6318165f", "1b3e9b22f2424000a6ac33f0b6bd47b7", "5135b647084642ca99f85d7c2266ba0f", "5a6eda069a0147bbbb572403fb8058f6", "a2f9afc06df24a9c9c5de7c538930f45", "20ed7b883af246bdb65b52adc8693e66", "17ab2817efef445bb57f8d9e7282dd41", "83b019853b6b4394b2d025c45543c442", "e1d28d430d584a2184cf9738d950e649", "3866bdabcd7547e0b8afd634520fcf24", "97aec4251c004876934669db70a14ffd", "1a42449fe07946ed8dedb7bd65936a35", "a6f4b596e3d540fd8594c64bfdea0781", "82a7003e991245019a0a48bbb0699221", "5e8e55da3e8a411cbf46212c634cfcff", "c3057e3319454104a1c1ead91aafd2b7", "c573e78dc866484bafd1421e39eb9a29", "1e9c506b215c4c8e81b67e3bade5d8d7", "de1c6ba5b893494eb5d6ae641e52e468", "02f28156b6ff40f88f182009b0ac1ea6", "dd500467439945948edca97cc0f68bf1", "3b91e6db7b344d71b96e3d42015bee8e", "f5595fa727a1419895f692174c7b4b1f" ] }, "id": "QmUBVEnvCDJv", "outputId": "4af230d6-fb5b-4f8c-d802-544e84adea7d" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n", "🦥 Unsloth Zoo will now patch everything to make training faster!\n", "==((====))== Unsloth 2024.12.4: Fast Qwen2 patching. Transformers:4.47.0.\n", " \\\\ /| GPU: Tesla T4. Max memory: 14.748 GB. Platform: Linux.\n", "O^O/ \\_/ \\ Torch: 2.5.1+cu121. CUDA: 7.5. CUDA Toolkit: 12.1. Triton: 3.1.0\n", "\\ / Bfloat16 = FALSE. FA [Xformers = 0.0.28.post3. FA2 = False]\n", " \"-____-\" Free Apache license: http://github.com/unslothai/unsloth\n", "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7b921451da464be7a40fe1cef49d174d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "model.safetensors: 0%| | 0.00/5.55G [00:00']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from camel.messages.conversion import AlpacaItem\n", "\n", "temp_model = FastLanguageModel.for_inference(model) # Enable native 2x faster inference\n", "inputs = tokenizer(\n", "[\n", "\n", " AlpacaItem(\n", " instruction=\"Explain how can I stay up to date with the CAMEL community.\",\n", " input=\"\",\n", " output=\"\", # leave this blank for generation!\n", " ).to_string()\n", "\n", "], return_tensors = \"pt\").to(\"cuda\")\n", "\n", "outputs = temp_model.generate(**inputs, max_new_tokens = 512, use_cache = True)\n", "temp_model = None\n", "tokenizer.batch_decode(outputs)\n" ] }, { "cell_type": "markdown", "metadata": { "id": "JshfcE5kdp2n" }, "source": [ "It seems to very broadly know what CAMEL is, but gives some hallucinations and says nothing concrete. We can do better." ] }, { "cell_type": "markdown", "metadata": { "id": "_X_Nydp9K47x" }, "source": [ "### Data models\n", "We want to generate data in the Alpaca format, so we can use CAMEL's built-in AlpacaItem class which has some handy conversion functions for us.\n", "\n", "We will be using CAMEL's structured output to generate all of these items in one request, which is much faster and cheaper.\n", "\n", "\n", "Here we create a wrapper around the AlpacaItem to help the model know how many have been generated as it's going along, and another wrapper class that represents a list of these." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "TdJnqzXWuAUK" }, "outputs": [], "source": [ "from pydantic import BaseModel\n", "\n", "class NumberedAlpacaItem(BaseModel):\n", " number: int\n", " item: AlpacaItem\n", "\n", "\n", "class AlpacaItemResponse(BaseModel):\n", " \"\"\"\n", " Represents an instruction-response item in the Alpaca format.\n", " \"\"\"\n", " items: list[NumberedAlpacaItem]" ] }, { "cell_type": "markdown", "metadata": { "id": "vITh0KVJ10qX" }, "source": [ "\n", "### Data generation\n", "Next we define our data generation function. It takes a source content, and generates a list of instruction-input-response triplets around it.\n", "\n", "We will use this later to train our model to be proficient with the source content." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "mBno-K2rTCfS" }, "outputs": [], "source": [ "from typing import List\n", "from camel.loaders import Firecrawl\n", "from camel.models import ModelFactory\n", "from camel.types import ModelPlatformType, ModelType\n", "from camel.configs import ChatGPTConfig\n", "from camel.agents import ChatAgent\n", "import json\n", "\n", "\n", "def generate_alpaca_items(content: str, n_items: int, start_num: int = 1, examples: List[AlpacaItem] = None) -> List[AlpacaItem]:\n", " system_msg = \"\"\"\n", "You are an AI assistant generating detailed, accurate responses based on the provided content.\n", "You will be given a reference content, and you must generate a specific number of AlpacaItems.\n", "These are instruction-input-response triplets, where the input is the context or examples.\n", "\n", "Add a number to the items to keep track of the order. Generate exactly that many.\n", "\n", "For each instruction, imagine but do not include a real world scenario and real user in that scenario to inform realistic and varied instructions. Avoid common sense questions and answers.\n", "\n", "Include multiple lines in the output as appropriate to provide sufficient detail. Cite the most relevant context verbatim in output fields, do not omit anything important.\n", "\n", "Leave the input field blank.\n", "\n", "Ensure all of the most significant parts of the context are covered.\n", "\n", "Start with open ended instructions, then move to more specific ones. Consider the starting number for an impression of what has already been generated.\n", " \"\"\"\n", "\n", " examples_str = \"\"\n", " if examples:\n", " examples_str = \"\\n\\nHere are some example items for reference:\\n\" + \\\n", " \"\\n\".join(ex.model_dump_json() for ex in examples)\n", "\n", " model = ModelFactory.create(\n", " model_platform=ModelPlatformType.OPENAI,\n", " model_type=ModelType.GPT_4O_MINI,\n", " model_config_dict=ChatGPTConfig(\n", " temperature=0.6, response_format=AlpacaItemResponse\n", " ).as_dict(),\n", " )\n", "\n", " agent = ChatAgent(\n", " system_message=system_msg,\n", " model=model,\n", " )\n", "\n", " prompt = f\"Content reference:\\n{content}{examples_str}\\n\\n Generate {n_items} AlpacaItems. The first should start numbering at {start_num}.\"\n", " response = agent.step(prompt)\n", "\n", " # Parse the generated JSON to our wrapper class\n", " alpaca_items = [n_item.item for n_item in\n", " AlpacaItemResponse.\n", " model_validate_json(response.msgs[0].content).items]\n", "\n", " return alpaca_items\n", "\n", "\n", "def save_json(data: List, filename: str):\n", " with open(filename, 'w', encoding='utf-8') as f:\n", " json.dump([entry.model_dump() for entry in data], f, indent=2,\n", " ensure_ascii=False)\n", "\n", "\n", "# Few shot examples to ensure the right amount of detail\n", "examples = [\n", " AlpacaItem(\n", " instruction=\"Explain the process for sprint planning and review in CAMEL.\",\n", " input=\"\",\n", " output=\"The process for sprint planning and review in CAMEL includes:\\n1. **Sprint Duration**: Each sprint lasts two weeks for development and one week for review.\\n2. **Planning Meeting**: Conducted biweekly, where the founder highlights the sprint goal and developers select items for the sprint.\\n3. **Review Meeting**: Stakeholders review the delivered features and provide feedback on the work completed during the sprint.\"\n", " )\n", "]\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "AqdoebfqMxb2" }, "source": [ "# Point to content and generate data!\n", "Now we point to the content that we wish to generate SFT data around and use CAMEL's Firecrawl integration to get this content in a nice markdown format.\n", "\n", "You can get a Firecrawl API key from [here](https://www.firecrawl.dev/app/api-keys)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "LxkdPzNVMvmH", "outputId": "72679348-8945-4ce9-d3c3-9f7755b97118" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Generated 50 items\n", "Generated 50 items\n", "Generated 50 items\n", "Generated 50 items\n", "Generated 50 items\n", "Generated 40 items\n", "[AlpacaItem(instruction='Describe the contributing guidelines for the CAMEL project.', input='', output='The contributing guidelines for the CAMEL project include:\\n- Follow the Fork-and-Pull-Request workflow for community contributors.\\n- Members of CAMEL-AI.org should use the Checkout-and-Pull-Request workflow.\\n- Ensure that all pull requests pass formatting, linting, and testing checks before merging.\\n- High-quality documentation and thorough testing are essential for contributions.'), AlpacaItem(instruction='What are the steps to write a cookbook for CAMEL?', input='', output='Steps to write a cookbook for CAMEL include:\\n1. **Template Usage**: Use the provided Google Colab template for consistency.\\n2. **Writing**: Start writing in Colab, ensuring correctness of LLM-generated responses.\\n3. **Reviewing**: Conduct reviews directly in Colab, focusing on accuracy and clarity.\\n4. **Submitting**: Download the final cookbook as a .ipynb file and create a pull request to integrate it.'), AlpacaItem(instruction='Explain the purpose of code reviews in CAMEL.', input='', output='The purpose of code reviews in CAMEL includes:\\n- Maintaining code quality by ensuring readability and functionality.\\n- Facilitating knowledge sharing among contributors.\\n- Catching potential bugs before merging into the main branch.\\n- Ensuring consistency in coding standards and design patterns.'), AlpacaItem(instruction='Outline the principles for writing docstrings in CAMEL.', input='', output='Principles for writing docstrings in CAMEL include:\\n1. Use triple-quoted raw strings (r\"\"\") to avoid special character issues.\\n2. Provide a brief description of classes or methods.\\n3. Document parameters clearly in an \\'Args\\' section, including type and default values.'), AlpacaItem(instruction='What are the communication channels available for CAMEL contributors?', input='', output='The communication channels available for CAMEL contributors include:\\n- **Discord**: Join via the provided link for real-time communication.\\n- **WeChat**: Connect with the community by scanning the QR code.\\n- **Slack**: Join the Slack workspace for discussions and updates.'), AlpacaItem(instruction='Detail the process for submitting a pull request in CAMEL.', input='', output='The process for submitting a pull request in CAMEL involves:\\n1. Creating a new pull request on GitHub and linking it to a related issue.\\n2. Updating the title and ensuring it has proper labels and assignees.\\n3. Moving the PR through stages: Developing, Stuck, Reviewing, and Merged.'), AlpacaItem(instruction='List the guidelines for contributing to the CAMEL codebase.', input='', output=\"Guidelines for contributing to the CAMEL codebase include:\\n- Follow the established workflow for pull requests.\\n- Ensure code is well-documented and includes sufficient tests.\\n- Adhere to the project's style guidelines and use the appropriate tools for linting and formatting.\"), AlpacaItem(instruction='What is the importance of logging in CAMEL?', input='', output='The importance of logging in CAMEL includes:\\n- Providing consistent and configurable logging instead of using print statements.\\n- Enhancing debugging and monitoring capabilities through structured logging.\\n- Facilitating better tracking of application behavior and issues.'), AlpacaItem(instruction='Explain the role of unit tests in CAMEL.', input='', output='Unit tests in CAMEL serve the role of:\\n- Ensuring that individual components of the application function correctly.\\n- Providing a safety net for changes in the codebase, preventing regressions.\\n- Helping to verify that all code paths are tested and the application behaves as expected.'), AlpacaItem(instruction='Summarize the workflow for managing issues in CAMEL.', input='', output='The workflow for managing issues in CAMEL includes:\\n1. Regularly updating the issues page on GitHub with bugs, improvements, and feature requests.\\n2. Assigning issues to yourself when you start working on them.\\n3. Creating focused issues and linking related ones instead of merging them.'), AlpacaItem(instruction='What are the principles to follow when contributing to the CAMEL Cookbook?', input='', output='Principles to follow when contributing to the CAMEL Cookbook include:\\n- Ensure high-quality entries with accurate code and clear explanations.\\n- Validate LLM-generated responses with real-world examples.\\n- Maintain reproducibility and accessibility for all users.'), AlpacaItem(instruction='Describe the developer meeting schedule for CAMEL.', input='', output='The developer meeting schedule for CAMEL is as follows:\\n- **English speakers**: Mondays at 5 PM GMT+1 via Discord.\\n- **Chinese speakers**: Mondays at 9 PM UTC+8 via TencentMeeting.'), AlpacaItem(instruction='What is the significance of the sprint planning process in CAMEL?', input='', output='The significance of the sprint planning process in CAMEL includes:\\n- Defining achievable goals for the sprint.\\n- Allowing developers to select items they will work on.\\n- Providing a structured approach to track progress and focus on key objectives.'), AlpacaItem(instruction='Explain how to build documentation locally for CAMEL.', input='', output='To build documentation locally for CAMEL, follow these steps:\\n1. Navigate to the docs directory.\\n2. Run the command `make html` to generate HTML documentation.'), AlpacaItem(instruction='What are the steps involved in the code review process?', input='', output='The steps involved in the code review process include:\\n1. Reviewers check the code for functionality, readability, and compliance with coding standards.\\n2. Constructive feedback is provided if changes are necessary.\\n3. Contributors address feedback and update the pull request.'), AlpacaItem(instruction='List the common actions that contributors should be aware of in CAMEL.', input='', output='Common actions for contributors in CAMEL include:\\n- Updating dependencies using `poetry lock`.\\n- Running linting and formatting checks with `ruff`.\\n- Generating code coverage reports to assess test coverage.'), AlpacaItem(instruction='What are the recommended practices for writing clear code in CAMEL?', input='', output='Recommended practices for writing clear code in CAMEL include:\\n- Avoid abbreviations in naming to enhance readability.\\n- Use descriptive names for variables and functions.\\n- Structure code to facilitate maintainability and future updates.'), AlpacaItem(instruction='Describe how to get help during the setup process for CAMEL.', input='', output='To get help during the setup process for CAMEL, you can:\\n- Reach out to a maintainer for assistance with any challenges.\\n- Discuss issues in the community channels for guidance.'), AlpacaItem(instruction='Explain the guidelines for contributing to documentation in CAMEL.', input='', output='Guidelines for contributing to documentation in CAMEL include:\\n- Provide comprehensive documentation for all classes and methods.\\n- Ensure documentation is generated automatically using Sphinx.'), AlpacaItem(instruction=\"What is the CAMEL project's approach to versioning and releases?\", input='', output=\"The CAMEL project's approach to versioning and releases follows semantic versioning (semver). As pre-1.0 software, even patch releases may include non-backwards-compatible changes.\"), AlpacaItem(instruction='Outline the process for downloading and installing CAMEL from source.', input='', output='The process for downloading and installing CAMEL from source includes:\\n1. Clone the GitHub repository.\\n2. Change directory into the project directory.\\n3. Activate the virtual environment and install CAMEL using poetry.'), AlpacaItem(instruction='What should contributors do to ensure code quality in CAMEL?', input='', output='To ensure code quality in CAMEL, contributors should:\\n- Follow the linting and formatting guidelines.\\n- Write unit tests for new features and bug fixes.\\n- Participate in code reviews to maintain high standards.'), AlpacaItem(instruction='Describe the principles for ensuring reproducibility in CAMEL cookbooks.', input='', output=\"Principles for ensuring reproducibility in CAMEL cookbooks include:\\n- Ensure all code can be executed on a user's machine with the same results.\\n- Document any dependencies clearly and provide instructions for setup.\"), AlpacaItem(instruction='What is the role of the CAMEL community in the development process?', input='', output='The role of the CAMEL community in the development process includes:\\n- Contributing to discussions and decisions about project direction.\\n- Providing feedback on features and improvements.\\n- Collaborating on code contributions and documentation.'), AlpacaItem(instruction='Explain the significance of maintaining a high-quality cookbook in CAMEL.', input='', output='Maintaining a high-quality cookbook in CAMEL is significant because:\\n- It serves as an essential resource for users to learn and implement features.\\n- High-quality entries enhance the user experience and promote engagement with the project.'), AlpacaItem(instruction='What are the steps to run unit tests in CAMEL?', input='', output='To run unit tests in CAMEL, follow these steps:\\n1. Activate the virtual environment.\\n2. Run the command `pytest .` to execute all tests.'), AlpacaItem(instruction='Describe the guidelines for effective feedback during code reviews.', input='', output='Guidelines for effective feedback during code reviews include:\\n- Provide clear, constructive comments.\\n- Focus on specific issues and how to improve them.\\n- Encourage discussion and collaboration to resolve concerns.'), AlpacaItem(instruction='What are the responsibilities of reviewers in the CAMEL code review process?', input='', output='Responsibilities of reviewers in the CAMEL code review process include:\\n- Conducting timely reviews to keep the project moving forward.\\n- Providing constructive feedback to help contributors improve.\\n- Approving code that meets all necessary criteria.'), AlpacaItem(instruction='Outline the process for integrating a cookbook into CAMEL documentation.', input='', output='The process for integrating a cookbook into CAMEL documentation involves:\\n1. Finalizing the Colab notebook and downloading it as a .ipynb file.\\n2. Creating a pull request to add the cookbook to the docs folder.'), AlpacaItem(instruction='What are the common pitfalls to avoid in the code review process?', input='', output='Common pitfalls to avoid in the code review process include:\\n- Submitting large pull requests that are hard to review.\\n- Ignoring feedback instead of addressing it.\\n- Rushing through reviews without thorough examination.'), AlpacaItem(instruction='Explain the role of interactive elements in CAMEL cookbooks.', input='', output='The role of interactive elements in CAMEL cookbooks includes:\\n- Allowing users to run and modify code directly within the Colab environment.\\n- Enhancing the learning experience by providing hands-on practice.'), AlpacaItem(instruction='What is the significance of clear explanations in CAMEL cookbooks?', input='', output='The significance of clear explanations in CAMEL cookbooks is to:\\n- Ensure users understand the code and its purpose.\\n- Make complex logic accessible to a wider audience.'), AlpacaItem(instruction='Describe the guidelines for submitting issues in CAMEL.', input='', output='Guidelines for submitting issues in CAMEL include:\\n- Keeping issues focused on specific bugs or feature requests.\\n- Providing clear titles and descriptions.\\n- Linking related issues instead of merging them.'), AlpacaItem(instruction='What is the purpose of the CAMEL Quick Start guide?', input='', output='The purpose of the CAMEL Quick Start guide is to provide new contributors with immediate steps to set up the project and begin contributing efficiently.'), AlpacaItem(instruction='Explain the testing strategies used in CAMEL.', input='', output=\"Testing strategies used in CAMEL include:\\n- Unit tests for modular logic that doesn't rely on external APIs.\\n- Integration tests that mimic real-world usage scenarios, particularly with the OpenAI API.\"), AlpacaItem(instruction='What steps should be taken to ensure code is maintainable in CAMEL?', input='', output='To ensure code is maintainable in CAMEL, developers should:\\n- Write clean, well-structured code with clear documentation.\\n- Follow coding standards and best practices for readability.'), AlpacaItem(instruction='Describe the principles of accessibility in CAMEL documentation.', input='', output='Principles of accessibility in CAMEL documentation include:\\n- Ensuring content is understandable for users of all skill levels.\\n- Providing context and definitions for technical terms.'), AlpacaItem(instruction='What role do dependencies play in the CAMEL project?', input='', output='Dependencies in the CAMEL project play a role in:\\n- Enabling the use of external libraries and tools to enhance functionality.\\n- Ensuring that the project remains up-to-date with the latest developments in the ecosystem.'), AlpacaItem(instruction='Explain the significance of the CAMEL license.', input='', output='The significance of the CAMEL license is to:\\n- Protect the rights of contributors and users.\\n- Ensure that contributions are shared under the same terms for community use.'), AlpacaItem(instruction='What are the steps to manage pull requests effectively in CAMEL?', input='', output='Steps to manage pull requests effectively in CAMEL include:\\n1. Ensure PRs are linked to related issues for context.\\n2. Review PRs promptly and provide constructive feedback.\\n3. Merge PRs only after they have been approved by reviewers.'), AlpacaItem(instruction='Outline the steps for generating a code coverage report in CAMEL.', input='', output='Steps for generating a code coverage report in CAMEL include:\\n1. Run `coverage erase` to clear previous data.\\n2. Execute tests with `coverage run --source=. -m pytest .`\\n3. Generate the report with `coverage html` and view it in `htmlcov/index.html`.'), AlpacaItem(instruction='Describe the significance of providing credit to contributors in CAMEL.', input='', output='The significance of providing credit to contributors in CAMEL is to:\\n- Recognize the efforts and contributions of individuals.\\n- Foster a positive community atmosphere and encourage future participation.'), AlpacaItem(instruction='Explain how to update dependencies in the CAMEL project.', input='', output='To update dependencies in the CAMEL project, follow these steps:\\n1. Modify the `pyproject.toml` file to add, update, or delete dependencies.\\n2. Run `poetry lock` to synchronize the dependencies with the lock file.'), AlpacaItem(instruction='What are the benefits of using Google Colab for CAMEL cookbooks?', input='', output='Benefits of using Google Colab for CAMEL cookbooks include:\\n- The ability to run interactive code and explanations side-by-side.\\n- Easy sharing and collaboration among contributors.'), AlpacaItem(instruction='Describe the guidelines for writing effective tests in CAMEL.', input='', output='Guidelines for writing effective tests in CAMEL include:\\n- Ensure tests cover all functionality and edge cases.\\n- Write clear, descriptive test names and organize tests logically.'), AlpacaItem(instruction='What are the steps to activate the virtual environment for CAMEL?', input='', output='Steps to activate the virtual environment for CAMEL include:\\n1. Navigate to the project directory.\\n2. Run the command `poetry shell` to activate the environment.'), AlpacaItem(instruction='Explain how to run linting checks in the CAMEL project.', input='', output='To run linting checks in the CAMEL project, execute the following commands:\\n1. Run `poetry run ruff check .` to check for formatting issues.\\n2. Run `poetry run ruff format .` to automatically format the code.'), AlpacaItem(instruction=\"What is the purpose of the CAMEL community's Discord channel?\", input='', output=\"The purpose of the CAMEL community's Discord channel is to facilitate real-time communication among contributors, allowing for discussions, support, and collaboration on project-related topics.\"), AlpacaItem(instruction='Describe the process for creating a new issue in CAMEL.', input='', output='The process for creating a new issue in CAMEL involves:\\n1. Going to the GitHub Issues page.\\n2. Filling out the required information with a specific title and description.\\n3. Assigning labels and milestones as needed.'), AlpacaItem(instruction='What are the benefits of following coding standards in CAMEL?', input='', output='Benefits of following coding standards in CAMEL include:\\n- Improving code readability and maintainability.\\n- Ensuring consistency across the codebase, making it easier for contributors to collaborate.'), AlpacaItem(instruction='What steps should be taken to contribute to the CAMEL project?', input='', output='To contribute to the CAMEL project, you should:\\n1. **Join the Community**: Engage with the community on Discord or WeChat.\\n2. **Understand the Guidelines**: Read the contribution guidelines carefully.\\n3. **Fork the Repository**: Use the Fork-and-Pull-Request workflow if you are a community contributor.\\n4. **Make Your Changes**: Implement your features or fixes in a separate branch.\\n5. **Submit a Pull Request**: After testing your changes, submit a pull request mentioning any related issues.'), AlpacaItem(instruction='Describe the process for reviewing cookbooks in CAMEL.', input='', output='The process for reviewing cookbooks in CAMEL includes:\\n1. **Review in Colab**: Comments and suggestions are made directly in the Colab document.\\n2. **Check for Accuracy**: Ensure that the code is correct and produces the expected results.\\n3. **Evaluate Clarity**: Review explanations for clarity and ease of understanding.\\n4. **Ensure Logical Flow**: Verify that the structure of the cookbook is logical and follows a step-by-step approach.'), AlpacaItem(instruction='Explain the importance of using a template for cookbook contributions.', input='', output='Using a template for cookbook contributions is important because:\\n1. **Consistency**: It ensures uniformity in style and structure across all entries.\\n2. **Clarity**: A standard format makes it easier for users to understand and navigate the content.\\n3. **Quality Control**: It helps maintain high-quality standards by guiding contributors on necessary components.'), AlpacaItem(instruction='What are the key components of the CAMEL contribution guidelines?', input='', output='Key components of the CAMEL contribution guidelines include:\\n1. **Code Contributions**: Follow the Fork-and-Pull-Request or Checkout-and-Pull-Request workflows.\\n2. **Documentation**: Ensure thorough documentation for all new features and changes.\\n3. **Testing**: Implement unit tests for any new code or bug fixes.\\n4. **Code Reviews**: Engage in the code review process to maintain quality.'), AlpacaItem(instruction='How should contributors handle feedback during code reviews?', input='', output=\"Contributors should handle feedback during code reviews by:\\n1. **Being Open**: Approach feedback with an open mind and willingness to improve.\\n2. **Clarifying Doubts**: If any feedback is unclear, ask for clarification to understand the reviewer's perspective.\\n3. **Making Changes**: Address the feedback in a timely manner and update the pull request accordingly.\"), AlpacaItem(instruction='Outline the steps for submitting a cookbook to CAMEL.', input='', output='To submit a cookbook to CAMEL, follow these steps:\\n1. **Write the Cookbook**: Use the provided template in Google Colab.\\n2. **Review and Edit**: Ensure correctness and clarity through peer review.\\n3. **Download the Final Version**: Download the completed Colab notebook as a .ipynb file.\\n4. **Create a Pull Request**: Open a pull request linking the cookbook to the documentation.'), AlpacaItem(instruction='What is the purpose of the CAMEL community meetings?', input='', output='The purpose of the CAMEL community meetings includes:\\n1. **Collaboration**: Enable contributors to discuss ongoing projects and share ideas.\\n2. **Feedback**: Provide a platform for gathering feedback on recent contributions.\\n3. **Planning**: Discuss future development plans and sprint goals.'), AlpacaItem(instruction=\"Explain the significance of the `logger` in CAMEL's coding practices.\", input='', output=\"The significance of using `logger` in CAMEL's coding practices includes:\\n1. **Professional Logging**: It provides a consistent and configurable way to log messages.\\n2. **Debugging Aid**: Logs can be used to trace issues and monitor application behavior during runtime.\\n3. **Avoiding Print Statements**: It promotes best practices by discouraging the use of print statements for output.\"), AlpacaItem(instruction='What are the benefits of maintaining high-quality documentation in CAMEL?', input='', output='Benefits of maintaining high-quality documentation in CAMEL include:\\n1. **User Accessibility**: It makes the project easier to use for both newcomers and experienced developers.\\n2. **Efficient Onboarding**: New contributors can quickly understand the project and start contributing.\\n3. **Error Reduction**: Clear documentation helps minimize misunderstandings that can lead to coding errors.'), AlpacaItem(instruction='How can contributors ensure reproducibility in their code contributions?', input='', output='Contributors can ensure reproducibility in their code contributions by:\\n1. **Providing Clear Instructions**: Include setup instructions and environment configurations.\\n2. **Using Version Control**: Manage dependencies and versions through tools like `poetry` or `requirements.txt`.\\n3. **Testing Across Environments**: Validate that the code runs consistently in different environments or setups.'), AlpacaItem(instruction='Describe the process for managing issues in the CAMEL project.', input='', output='The process for managing issues in the CAMEL project includes:\\n1. **Creating Issues**: Use the GitHub Issues page to report bugs, improvements, or feature requests.\\n2. **Assigning Issues**: Assign issues to yourself or relevant contributors to track progress.\\n3. **Discussing in Meetings**: Bring up issues during team meetings for analysis and planning.'), AlpacaItem(instruction='What is the significance of conducting code reviews in CAMEL?', input='', output=\"The significance of conducting code reviews in CAMEL includes:\\n1. **Quality Assurance**: Ensures that all contributions meet the project's quality standards.\\n2. **Knowledge Sharing**: Facilitates learning and sharing of best practices among contributors.\\n3. **Bug Prevention**: Helps identify and resolve potential issues before code is merged.\"), AlpacaItem(instruction='Explain the importance of testing in the CAMEL project.', input='', output='The importance of testing in the CAMEL project includes:\\n1. **Verifying Functionality**: Ensures that code behaves as expected and meets requirements.\\n2. **Preventing Regressions**: Protects against reintroducing previously fixed bugs.\\n3. **Improving Code Quality**: Encourages writing cleaner, more maintainable code.'), AlpacaItem(instruction='What should contributors focus on when writing unit tests?', input='', output='Contributors should focus on the following when writing unit tests:\\n1. **Coverage**: Ensure that tests cover all relevant code paths and edge cases.\\n2. **Clarity**: Write clear and understandable tests that are easy to maintain.\\n3. **Independence**: Ensure tests are independent of each other to avoid cascading failures.'), AlpacaItem(instruction='Outline the steps for updating dependencies in CAMEL.', input='', output='Steps for updating dependencies in CAMEL include:\\n1. **Modify pyproject.toml**: Add, update, or delete dependencies as needed.\\n2. **Run Poetry Lock**: Execute `poetry lock` to synchronize the lock file with the changes.\\n3. **Test Changes**: Run tests to ensure that the changes do not break existing functionality.'), AlpacaItem(instruction='What are the best practices for writing clear documentation?', input='', output='Best practices for writing clear documentation include:\\n1. **Use Simple Language**: Avoid jargon and complex terminology where possible.\\n2. **Be Concise**: Keep explanations brief and to the point, focusing on essential information.\\n3. **Use Examples**: Provide examples to illustrate complex concepts or usage scenarios.'), AlpacaItem(instruction='Explain how to participate in developer meetings in CAMEL.', input='', output='To participate in developer meetings in CAMEL, follow these steps:\\n1. **Join the Scheduled Meetings**: Attend the meetings as per the announced schedule.\\n2. **Prepare Updates**: Be ready to share updates on your contributions and any blockers.\\n3. **Engage Actively**: Participate in discussions, provide feedback, and collaborate on planning.'), AlpacaItem(instruction='What is the process for integrating new features into CAMEL?', input='', output='The process for integrating new features into CAMEL includes:\\n1. **Feature Proposal**: Submit a proposal outlining the feature and its benefits.\\n2. **Development**: Implement the feature following the coding guidelines.\\n3. **Testing**: Write unit tests and ensure the feature works as intended.\\n4. **Pull Request**: Open a pull request for review and integration into the main branch.'), AlpacaItem(instruction='Describe the purpose of sprint reviews in CAMEL.', input='', output='The purpose of sprint reviews in CAMEL includes:\\n1. **Feedback Gathering**: Collect feedback from stakeholders on delivered features.\\n2. **Assessing Progress**: Evaluate the progress made during the sprint against planned goals.\\n3. **Identifying Improvements**: Discuss areas for improvement for future sprints.'), AlpacaItem(instruction='What guidelines should be followed for writing effective commit messages?', input='', output=\"Guidelines for writing effective commit messages include:\\n1. **Be Descriptive**: Clearly describe what changes were made and why.\\n2. **Use Imperative Mood**: Write commit messages in the imperative form (e.g., 'Fix bug' instead of 'Fixed bug').\\n3. **Limit Length**: Keep the subject line under 50 characters and provide additional details in the body if necessary.\"), AlpacaItem(instruction='Explain the role of the `pre-commit` hook in CAMEL.', input='', output=\"The role of the `pre-commit` hook in CAMEL includes:\\n1. **Automated Checks**: It automatically runs linting and formatting checks before commits are made.\\n2. **Consistency**: Ensures that all code adheres to the project's style guidelines.\\n3. **Error Prevention**: Helps catch potential issues before they are committed to the repository.\"), AlpacaItem(instruction='What is the significance of versioning in CAMEL?', input='', output='The significance of versioning in CAMEL includes:\\n1. **Tracking Changes**: It allows contributors and users to track changes and updates over time.\\n2. **Compatibility**: Helps manage compatibility issues between different versions of the software.\\n3. **Release Management**: Facilitates planning and executing releases based on semantic versioning principles.'), AlpacaItem(instruction='How should contributors handle large pull requests?', input='', output='Contributors should handle large pull requests by:\\n1. **Breaking Down Changes**: Split large changes into smaller, manageable pull requests if possible.\\n2. **Providing Context**: Include detailed descriptions and context for reviewers to understand the changes.\\n3. **Engaging in Discussions**: Be open to feedback and discussions to address concerns raised during the review.'), AlpacaItem(instruction='Describe the process for integrating feedback from code reviews.', input='', output='The process for integrating feedback from code reviews includes:\\n1. **Review Feedback**: Read through all comments and suggestions provided by reviewers.\\n2. **Make Necessary Changes**: Update the code based on the feedback received.\\n3. **Respond to Reviewers**: Communicate any changes made or clarify any misunderstandings in the review comments.'), AlpacaItem(instruction='What are the key considerations for writing tests in CAMEL?', input='', output='Key considerations for writing tests in CAMEL include:\\n1. **Test Coverage**: Ensure that tests cover all critical paths and edge cases.\\n2. **Maintainability**: Write clear and maintainable tests that can be easily updated as the code evolves.\\n3. **Performance**: Avoid overly complex tests that may slow down the testing process.'), AlpacaItem(instruction='Explain the importance of reproducibility in the CAMEL project.', input='', output='The importance of reproducibility in the CAMEL project includes:\\n1. **Consistency**: Ensures that all users can replicate the same results when running the code.\\n2. **Debugging**: Facilitates easier debugging by allowing developers to test under the same conditions.\\n3. **Collaboration**: Enhances collaboration by ensuring that all contributors work under the same environment.'), AlpacaItem(instruction='What should be included in a feature proposal for CAMEL?', input='', output='A feature proposal for CAMEL should include:\\n1. **Description**: A clear and concise description of the feature and its intended purpose.\\n2. **Benefits**: Explanation of the benefits it will provide to users or the project.\\n3. **Implementation Plan**: Outline of how the feature will be developed and integrated.'), AlpacaItem(instruction='How can contributors ensure their code adheres to style guidelines?', input='', output=\"Contributors can ensure their code adheres to style guidelines by:\\n1. **Using Linters**: Run linting tools like `ruff` to check for style violations.\\n2. **Reviewing Guidelines**: Familiarize themselves with the project's coding style guidelines.\\n3. **Code Reviews**: Participate in code reviews to receive feedback on style compliance.\"), AlpacaItem(instruction='What are the steps to follow when creating a new issue in CAMEL?', input='', output='Steps to follow when creating a new issue in CAMEL include:\\n1. **Visit the Issues Page**: Go to the GitHub Issues page for the CAMEL project.\\n2. **Select Issue Type**: Choose the appropriate category for the issue (bug, improvement, feature request).\\n3. **Fill in Details**: Provide a clear title and detailed description of the issue, including any relevant context.'), AlpacaItem(instruction='Explain the role of community engagements in CAMEL.', input='', output='The role of community engagements in CAMEL includes:\\n1. **Building Relationships**: Fostering connections among contributors and users.\\n2. **Gathering Feedback**: Collecting insights and suggestions from the community to improve the project.\\n3. **Encouraging Contributions**: Motivating new contributors to join and participate in the development process.'), AlpacaItem(instruction='What practices should be avoided during code reviews?', input='', output='Practices to avoid during code reviews include:\\n1. **Rushed Reviews**: Taking time to thoroughly review code rather than hurrying through it.\\n2. **Ignoring Feedback**: Not addressing or discussing feedback provided by reviewers.\\n3. **Personal Criticism**: Focusing on the individual instead of the code, which can lead to negative interactions.'), AlpacaItem(instruction='Describe the proper structure for a commit message in CAMEL.', input='', output='The proper structure for a commit message in CAMEL includes:\\n1. **Subject Line**: A brief summary of the changes made (max 50 characters).\\n2. **Body**: A more detailed explanation of the changes, why they were made, and any relevant context (wrap at 72 characters).\\n3. **Footer**: Include any references to related issues or pull requests if applicable.'), AlpacaItem(instruction='What is the purpose of the CAMEL documentation?', input='', output='The purpose of the CAMEL documentation includes:\\n1. **User Guidance**: Providing clear instructions on how to use and contribute to the project.\\n2. **Knowledge Sharing**: Documenting best practices and coding standards for contributors.\\n3. **Onboarding**: Assisting new contributors in understanding the project structure and workflows.'), AlpacaItem(instruction='Explain how to effectively use GitHub for project management in CAMEL.', input='', output='To effectively use GitHub for project management in CAMEL, follow these practices:\\n1. **Issues**: Utilize the issues feature to track bugs, features, and improvements.\\n2. **Milestones**: Set milestones to group issues and pull requests for specific goals.\\n3. **Project Boards**: Use project boards to visualize progress and manage workflows.'), AlpacaItem(instruction='What are the benefits of using Google Colab for cookbook contributions?', input='', output='Benefits of using Google Colab for cookbook contributions include:\\n1. **Interactive Environment**: Allows contributors to run code snippets and see results in real-time.\\n2. **Ease of Collaboration**: Facilitates collaboration by enabling comments and suggestions directly in the document.\\n3. **Accessibility**: Provides an accessible platform for contributors to write and share their cookbooks easily.'), AlpacaItem(instruction='What should be included in the documentation for a new feature in CAMEL?', input='', output='Documentation for a new feature in CAMEL should include:\\n1. **Overview**: A summary of the feature and its purpose.\\n2. **Usage Instructions**: Detailed instructions on how to use the feature.\\n3. **Examples**: Code examples demonstrating the feature in action.\\n4. **Testing Information**: Information on any relevant tests associated with the feature.'), AlpacaItem(instruction='How should contributors manage their local development environment for CAMEL?', input='', output='Contributors should manage their local development environment for CAMEL by:\\n1. **Using Virtual Environments**: Create isolated environments using tools like `poetry` or `venv`.\\n2. **Installing Dependencies**: Ensure all necessary dependencies are installed as specified in `pyproject.toml`.\\n3. **Running Tests**: Regularly run tests to ensure changes do not break existing functionality.'), AlpacaItem(instruction='What is the process for merging pull requests in CAMEL?', input='', output='The process for merging pull requests in CAMEL includes:\\n1. **Review**: Ensure the pull request has been reviewed and approved by at least two reviewers.\\n2. **Testing**: Confirm that all tests pass successfully before merging.\\n3. **Merge**: Use the GitHub interface to merge the pull request into the main branch.'), AlpacaItem(instruction='Explain the significance of accessibility in CAMEL documentation.', input='', output='The significance of accessibility in CAMEL documentation includes:\\n1. **Wider Reach**: Ensures that users of all skill levels can understand and utilize the project.\\n2. **Inclusivity**: Promotes inclusive practices by accommodating diverse user needs.\\n3. **Improved Usability**: Enhances usability, making it easier for users to find and understand information.'), AlpacaItem(instruction='What are the key principles for writing effective unit tests in CAMEL?', input='', output='Key principles for writing effective unit tests in CAMEL include:\\n1. **Isolation**: Ensure tests are independent and do not rely on external systems.\\n2. **Clarity**: Write clear tests that are easy to understand and maintain.\\n3. **Comprehensive Coverage**: Aim for high coverage, testing various scenarios and edge cases.'), AlpacaItem(instruction='Describe the role of the `docs` folder in the CAMEL project.', input='', output='The `docs` folder in the CAMEL project plays the role of:\\n1. **Documentation Storage**: Housing all project documentation, including user guides and contributions.\\n2. **Build Directory**: Serving as the directory from which documentation is built and generated.\\n3. **Version Control**: Allowing for version control of documentation alongside the codebase.'), AlpacaItem(instruction='What practices should be followed when conducting a sprint review in CAMEL?', input='', output='Practices to follow during a sprint review in CAMEL include:\\n1. **Prepare Demonstrations**: Showcase the features completed during the sprint.\\n2. **Gather Feedback**: Actively solicit feedback from stakeholders on the delivered work.\\n3. **Discuss Improvements**: Identify areas for improvement for future sprints.'), AlpacaItem(instruction='Explain the purpose of using semantic versioning in CAMEL.', input='', output='The purpose of using semantic versioning in CAMEL includes:\\n1. **Clear Communication**: Communicates the nature of changes in each release (major, minor, patch).\\n2. **Backward Compatibility**: Helps manage expectations regarding backward compatibility with new releases.\\n3. **Version Management**: Facilitates better version management for contributors and users alike.'), AlpacaItem(instruction='What is the significance of community contributions to the CAMEL project?', input='', output='The significance of community contributions to the CAMEL project includes:\\n1. **Diversity of Ideas**: Brings in a variety of perspectives and ideas, enhancing project development.\\n2. **Increased Resources**: Expands the resource pool for development, documentation, and support.\\n3. **Building a Supportive Ecosystem**: Fosters a collaborative and supportive ecosystem for all contributors.'), AlpacaItem(instruction='How can contributors ensure that their code is secure?', input='', output='Contributors can ensure that their code is secure by:\\n1. **Following Best Practices**: Adhering to security best practices and guidelines in coding.\\n2. **Conducting Code Reviews**: Engaging in thorough code reviews to identify potential vulnerabilities.\\n3. **Testing for Security Flaws**: Implementing tests specifically aimed at identifying security issues.'), AlpacaItem(instruction='What should contributors do if they encounter an outdated issue in CAMEL?', input='', output='If contributors encounter an outdated issue in CAMEL, they should:\\n1. **Comment on the Issue**: Notify the maintainers that the issue may be outdated.\\n2. **Provide Context**: Include any relevant context or updates related to the issue.\\n3. **Close if Necessary**: If the issue is no longer relevant, propose closing it.'), AlpacaItem(instruction='Describe the process for creating a new branch for development in CAMEL.', input='', output='The process for creating a new branch for development in CAMEL includes:\\n1. **Checkout Main Branch**: Ensure you are on the main branch by running `git checkout main`.\\n2. **Pull Latest Changes**: Update your local repository with the latest changes using `git pull`.\\n3. **Create a New Branch**: Use `git checkout -b new-feature-branch` to create and switch to a new branch.'), AlpacaItem(instruction='What are the advantages of using a structured workflow in CAMEL?', input='', output='Advantages of using a structured workflow in CAMEL include:\\n1. **Increased Efficiency**: Streamlines processes, making it easier to track progress and manage tasks.\\n2. **Improved Collaboration**: Enhances communication and collaboration among contributors.\\n3. **Quality Control**: Facilitates quality control measures through established procedures.'), AlpacaItem(instruction='Explain how to effectively document changes in the CAMEL project.', input='', output='To effectively document changes in the CAMEL project, follow these steps:\\n1. **Use Clear Language**: Write in clear and concise language to describe changes.\\n2. **Reference Related Issues**: Link to related issues or pull requests for context.\\n3. **Update Documentation**: Ensure that all relevant documentation is updated to reflect changes.'), AlpacaItem(instruction='What should contributors know about using `pytest` for testing in CAMEL?', input='', output=\"Contributors should know the following about using `pytest` for testing in CAMEL:\\n1. **Installation**: Ensure `pytest` is installed in the development environment.\\n2. **Running Tests**: Use `pytest .` to run all tests in the project.\\n3. **Writing Tests**: Follow the project's guidelines for writing effective and meaningful tests.\"), AlpacaItem(instruction='What are the guidelines for contributing code to the CAMEL project?', input='', output='The guidelines for contributing code to the CAMEL project include:\\n1. **Fork-and-Pull-Request Workflow**: Contributors should follow the fork-and-pull-request workflow when opening pull requests.\\n2. **Testing**: Ensure that the code passes formatting, linting, and testing checks before submission.\\n3. **Documentation**: Provide comprehensive documentation for any changes made.'), AlpacaItem(instruction='How can contributors get help during the setup process for CAMEL?', input='', output='Contributors can get help during the setup process for CAMEL by reaching out to a maintainer for assistance. The maintainers are available to provide support and ensure a smooth experience for contributors.'), AlpacaItem(instruction='What is the importance of using a template for writing cookbooks in CAMEL?', input='', output='The importance of using a template for writing cookbooks in CAMEL is to maintain consistency in style and structure across all entries. This helps ensure that the cookbooks are uniform and easier for users to navigate.'), AlpacaItem(instruction='Describe the process for submitting a cookbook in CAMEL.', input='', output='The process for submitting a cookbook in CAMEL includes:\\n1. **Download the Cookbook**: After finalizing and reviewing the Colab notebook, download it as a .ipynb file.\\n2. **Create a Pull Request**: Open a pull request to add the cookbook to the docs folder of the repository, including the .ipynb file and necessary documentation.'), AlpacaItem(instruction='What should contributors do if they encounter challenges with code linting or formatting?', input='', output='If contributors encounter challenges with code linting or formatting, they should reach out to a maintainer for assistance. The maintainers are happy to provide support to ensure that these guidelines do not hinder the integration of good code.'), AlpacaItem(instruction='What are the steps to ensure high-quality documentation in CAMEL?', input='', output='Steps to ensure high-quality documentation in CAMEL include:\\n1. **Comprehensive Coverage**: Provide thorough documentation for all classes and methods.\\n2. **Use Sphinx**: Ensure that documentation is generated automatically using Sphinx based on the code.'), AlpacaItem(instruction='Explain the significance of code reviews in the CAMEL project.', input='', output='The significance of code reviews in the CAMEL project includes:\\n1. **Maintain Code Quality**: Ensuring that the codebase remains clean, readable, and maintainable.\\n2. **Knowledge Sharing**: Facilitating knowledge sharing among contributors, especially for new contributors.'), AlpacaItem(instruction='What are the responsibilities of a code reviewer in CAMEL?', input='', output='Responsibilities of a code reviewer in CAMEL include:\\n1. **Timely Reviews**: Striving to review pull requests promptly to keep the project moving.\\n2. **Constructive Feedback**: Providing clear and constructive feedback aimed at helping the contributor improve.'), AlpacaItem(instruction=\"What is the purpose of the CAMEL community's communication channels?\", input='', output=\"The purpose of the CAMEL community's communication channels is to facilitate effective communication among contributors, allowing for collaboration, sharing of ideas, and support in development.\"), AlpacaItem(instruction='How should contributors document parameters in their code?', input='', output=\"Contributors should document parameters in their code by using an `Args:` section in the docstring, following this structure:\\n- Parameter Name: Match the function signature.\\n- Type: Include the type (e.g., `int`, `str`).\\n- Description: Briefly explain the parameter's role.\"), AlpacaItem(instruction='What are the common pitfalls to avoid during code reviews in CAMEL?', input='', output='Common pitfalls to avoid during code reviews in CAMEL include:\\n1. **Large PRs**: Submitting overly large pull requests, which should be broken down into smaller, manageable PRs.\\n2. **Ignoring Feedback**: Not addressing feedback from reviewers.'), AlpacaItem(instruction='What is the procedure for updating dependencies in CAMEL?', input='', output='The procedure for updating dependencies in CAMEL involves:\\n1. Making changes to the `pyproject.toml` file.\\n2. Running the command `poetry lock` to synchronize dependencies with the lock file.'), AlpacaItem(instruction='Explain the role of unit tests in the CAMEL project.', input='', output=\"Unit tests in the CAMEL project play a crucial role in covering modular logic that doesn't require calls to outside APIs. They help ensure that the code functions as intended and catches potential bugs before merging.\"), AlpacaItem(instruction='What is the process for conducting sprint planning in CAMEL?', input='', output='The process for conducting sprint planning in CAMEL includes:\\n1. **Duration**: Each sprint lasts two weeks for development.\\n2. **Planning Meeting**: The founder highlights the sprint goal, and developers select items for the sprint.'), AlpacaItem(instruction='How can contributors improve their code quality in CAMEL?', input='', output='Contributors can improve their code quality in CAMEL by:\\n1. Following established design patterns and project architecture.\\n2. Ensuring their code is well-documented and adheres to coding standards.'), AlpacaItem(instruction='What principles should contributors follow when writing docstrings?', input='', output='Contributors should follow these principles when writing docstrings:\\n1. Use triple-quoted strings with `r\"\"\"` to ensure consistent formatting.\\n2. Provide a brief description of the class or method functionality.'), AlpacaItem(instruction='Describe the importance of participant feedback during sprint reviews.', input='', output='Participant feedback during sprint reviews is important because it allows stakeholders to review the delivered features, provide insights, and identify areas for improvement in the project.'), AlpacaItem(instruction='What is the purpose of the `logger` in CAMEL instead of using `print`?', input='', output='The purpose of using `logger` in CAMEL instead of `print` is to ensure consistent, configurable, and professional logging, which is crucial for maintaining a robust and maintainable codebase.'), AlpacaItem(instruction='What should contributors do if they want to add new features to CAMEL?', input='', output='If contributors want to add new features to CAMEL, they should:\\n1. Open a pull request following the fork-and-pull-request workflow.\\n2. Ensure that their code includes adequate testing and documentation.'), AlpacaItem(instruction='Explain the importance of accessibility in the CAMEL project documentation.', input='', output='The importance of accessibility in the CAMEL project documentation is to ensure that it is understandable by a wide range of users, from beginners to advanced users, thereby promoting inclusivity and usability.'), AlpacaItem(instruction='What is the significance of reproducibility in CAMEL documentation?', input='', output='The significance of reproducibility in CAMEL documentation includes:\\n1. Ensuring that users can replicate results by following documented steps.\\n2. Facilitating debugging and collaboration among developers.'), AlpacaItem(instruction='What steps should be followed to build documentation locally for CAMEL?', input='', output='To build documentation locally for CAMEL, follow these steps:\\n1. Navigate to the `docs` directory.\\n2. Run the command `make html` to generate the documentation.'), AlpacaItem(instruction='What are the guidelines for writing clear explanations in CAMEL cookbooks?', input='', output='Guidelines for writing clear explanations in CAMEL cookbooks include:\\n1. Providing concise and straightforward descriptions of the code and its purpose.\\n2. Documenting complex logic in simple terms to enhance understanding.'), AlpacaItem(instruction='What is the role of the `pre-commit` hook in CAMEL?', input='', output=\"The role of the `pre-commit` hook in CAMEL is to automatically format and lint the code before each commit, ensuring that the code adheres to the project's style guidelines.\"), AlpacaItem(instruction='Describe the process for managing issues in the CAMEL project.', input='', output='The process for managing issues in the CAMEL project includes:\\n1. Regularly updating the issues page on GitHub with bugs, improvements, and feature requests.\\n2. Assigning issues to oneself when starting work on them.'), AlpacaItem(instruction='What are the steps to run unit tests in CAMEL?', input='', output='Steps to run unit tests in CAMEL include:\\n1. Navigate to the project directory.\\n2. Run the command `pytest .` to execute all tests.'), AlpacaItem(instruction='How can contributors ensure their code follows style guidelines in CAMEL?', input='', output='Contributors can ensure their code follows style guidelines in CAMEL by using the `ruff` tool for formatting checks and adhering to the Google Python Style Guide.'), AlpacaItem(instruction='What are the benefits of maintaining a high-quality cookbook in CAMEL?', input='', output='Benefits of maintaining a high-quality cookbook in CAMEL include:\\n1. Providing users with reliable and effective resources for using the project.\\n2. Enhancing the overall user experience and promoting user engagement.'), AlpacaItem(instruction='What should contributors do if they want to suggest improvements to the CAMEL project?', input='', output='If contributors want to suggest improvements to the CAMEL project, they should open an issue on GitHub detailing their suggestions and the reasoning behind them.'), AlpacaItem(instruction='What are the key principles for writing effective unit tests in CAMEL?', input='', output='Key principles for writing effective unit tests in CAMEL include:\\n1. Ensuring tests cover all edge cases and expected behaviors.\\n2. Writing clear and concise tests that are easy to understand.'), AlpacaItem(instruction='What is the process for linking a pull request to a related issue in CAMEL?', input='', output='The process for linking a pull request to a related issue in CAMEL involves:\\n1. Mentioning the issue number in the pull request description.\\n2. Ensuring the pull request is associated with the issue in GitHub.'), AlpacaItem(instruction='How should contributors handle security vulnerabilities in their code?', input='', output='Contributors should handle security vulnerabilities in their code by:\\n1. Reviewing code for potential security issues before submission.\\n2. Reporting any identified vulnerabilities to the maintainers immediately.'), AlpacaItem(instruction='What steps should be taken to ensure effective communication in the CAMEL community?', input='', output='Steps to ensure effective communication in the CAMEL community include:\\n1. Actively participating in discussions on Discord or other communication channels.\\n2. Providing timely updates on progress and challenges faced during development.'), AlpacaItem(instruction='Explain the importance of logging in the CAMEL project.', input='', output=\"The importance of logging in the CAMEL project includes:\\n1. Providing insights into the application's behavior and performance.\\n2. Facilitating troubleshooting and debugging by capturing relevant information.\"), AlpacaItem(instruction='What are the benefits of conducting regular sprint reviews in CAMEL?', input='', output='Benefits of conducting regular sprint reviews in CAMEL include:\\n1. Gaining feedback from stakeholders on completed work.\\n2. Identifying areas for improvement and adjusting future plans accordingly.'), AlpacaItem(instruction='What should be included in the documentation for new features in CAMEL?', input='', output=\"Documentation for new features in CAMEL should include:\\n1. Detailed explanations of the feature's functionality.\\n2. Examples of how to use the feature effectively.\"), AlpacaItem(instruction='How can contributors improve the accessibility of CAMEL documentation?', input='', output='Contributors can improve the accessibility of CAMEL documentation by:\\n1. Using clear and simple language to explain concepts.\\n2. Providing context and definitions for technical terms.'), AlpacaItem(instruction='What is the role of feedback in the CAMEL development process?', input='', output='The role of feedback in the CAMEL development process is to foster continuous improvement by providing insights on performance, usability, and areas needing enhancement.'), AlpacaItem(instruction='What steps should be taken to ensure effective documentation for code changes in CAMEL?', input='', output='To ensure effective documentation for code changes in CAMEL, contributors should:\\n1. Update relevant documentation files to reflect changes.\\n2. Ensure that all public methods and classes are well-documented.'), AlpacaItem(instruction='What guidelines should contributors follow for naming variables in CAMEL?', input='', output='Contributors should follow these guidelines for naming variables in CAMEL:\\n1. Avoid abbreviations to prevent ambiguity.\\n2. Use clear and descriptive names that convey meaning.'), AlpacaItem(instruction=\"How can contributors ensure their contributions align with CAMEL's goals?\", input='', output=\"Contributors can ensure their contributions align with CAMEL's goals by:\\n1. Familiarizing themselves with the project's vision and mission.\\n2. Discussing their ideas with maintainers before proceeding with significant changes.\"), AlpacaItem(instruction='What is the purpose of the `Common Actions` section in the CAMEL documentation?', input='', output='The purpose of the `Common Actions` section in the CAMEL documentation is to provide contributors with essential commands and procedures for managing the project effectively.'), AlpacaItem(instruction='Explain the significance of maintaining a consistent coding style in CAMEL.', input='', output='The significance of maintaining a consistent coding style in CAMEL includes:\\n1. Enhancing code readability and maintainability.\\n2. Reducing cognitive load for contributors, allowing them to focus on functionality.'), AlpacaItem(instruction='What is the process for creating an issue in the CAMEL project?', input='', output='The process for creating an issue in the CAMEL project involves:\\n1. Going to the GitHub issues page.\\n2. Filling in the required information, including a proper title and description.'), AlpacaItem(instruction='What should contributors do to prepare their code for a pull request in CAMEL?', input='', output='To prepare their code for a pull request in CAMEL, contributors should:\\n1. Ensure all tests pass successfully.\\n2. Review and update documentation as necessary.'), AlpacaItem(instruction='What are the best practices for conducting code reviews in CAMEL?', input='', output='Best practices for conducting code reviews in CAMEL include:\\n1. Providing constructive feedback that is actionable.\\n2. Reviewing code for functionality, readability, and adherence to coding standards.'), AlpacaItem(instruction='What resources are available for new contributors to CAMEL?', input='', output='Resources available for new contributors to CAMEL include:\\n1. The documentation, which outlines guidelines and best practices.\\n2. The community communication channels, such as Discord and Slack.'), AlpacaItem(instruction='How should contributors approach testing in the CAMEL project?', input='', output='Contributors should approach testing in the CAMEL project by:\\n1. Writing unit tests for new features and bug fixes.\\n2. Ensuring that all tests pass before submitting a pull request.'), AlpacaItem(instruction='What is the importance of using `pytest` in CAMEL?', input='', output='The importance of using `pytest` in CAMEL lies in its ability to facilitate robust testing, allowing contributors to easily run tests and verify that their code functions correctly.'), AlpacaItem(instruction='What steps should contributors take to ensure their pull requests are ready for review?', input='', output='Steps contributors should take to ensure their pull requests are ready for review include:\\n1. Ensuring that all tests pass and documentation is updated.\\n2. Providing a clear description of the changes made in the pull request.'), AlpacaItem(instruction='What are the guidelines for contributing to the CAMEL project?', input='', output='The guidelines for contributing to the CAMEL project include:\\n1. **Types of Contributions**: You can introduce new features, enhance infrastructure, improve documentation, ask issues, add examples, implement research ideas, or fix bugs.\\n2. **Workflow**: If you are a community contributor, follow the Fork-and-Pull-Request workflow for opening pull requests. For CAMEL-AI.org members, use the Checkout-and-Pull-Request workflow.\\n3. **Documentation**: Make sure to provide excellent documentation and thorough testing for your contributions.'), AlpacaItem(instruction='How can contributors join the CAMEL community?', input='', output='Contributors can join the CAMEL community by:\\n1. **Discord**: Joining the CAMEL Discord channel for efficient communication.\\n2. **Introduction Calls**: Scheduling an introduction call via Calendly links provided for English and Chinese speakers.'), AlpacaItem(instruction='What is the process for writing cookbooks in CAMEL?', input='', output='The process for writing cookbooks in CAMEL includes:\\n1. **Using Template**: Follow the specified template for cookbook entries to maintain consistency.\\n2. **Writing in Colab**: Start writing in Google Colab, ensuring correctness and clear explanations.\\n3. **Reviewing**: The review process is conducted in Colab where comments and suggestions are made directly.'), AlpacaItem(instruction='What should contributors do if they want to submit a cookbook?', input='', output='To submit a cookbook, contributors should:\\n1. **Finalize in Colab**: Ensure the Colab notebook is finalized and reviewed.\\n2. **Download Notebook**: Download the finalized notebook as a .ipynb file.\\n3. **Create Pull Request**: Open a pull request to add the cookbook to the docs folder, including the .ipynb file and necessary documentation.'), AlpacaItem(instruction='What principles should contributors follow when writing cookbook entries?', input='', output='Contributors should follow these principles when writing cookbook entries:\\n1. **High Quality**: Ensure the content is accurate and well-explained.\\n2. **Reproducibility**: Code should be reproducible, allowing users to achieve the same results.\\n3. **Accessibility**: Make the content accessible to various skill levels, providing context and definitions where necessary.'), AlpacaItem(instruction='What are the best practices for conducting code reviews in CAMEL?', input='', output='Best practices for conducting code reviews in CAMEL include:\\n1. **Timely Reviews**: Aim to review pull requests promptly.\\n2. **Constructive Feedback**: Provide clear and constructive feedback to help contributors improve.\\n3. **Focus on Quality**: Ensure the code meets functionality, readability, consistency, and compliance with coding standards.'), AlpacaItem(instruction='How should contributors handle large pull requests?', input='', output='Contributors should avoid submitting large pull requests by:\\n1. **Breaking Down Changes**: Dividing changes into smaller, manageable pull requests.\\n2. **Focusing on Specific Issues**: Keeping each pull request focused on a specific bug, improvement, or feature.'), AlpacaItem(instruction='What is the purpose of code reviews in CAMEL?', input='', output='The purpose of code reviews in CAMEL includes:\\n1. **Maintain Code Quality**: Ensure the codebase remains clean and maintainable.\\n2. **Knowledge Sharing**: Facilitate knowledge sharing among contributors.\\n3. **Bug Prevention**: Catch potential bugs before merging into the main branch.'), AlpacaItem(instruction='What should contributors do if they have questions about the project?', input='', output='If contributors have questions about the project, they should:\\n1. **Reach Out to Maintainers**: Contact a maintainer for guidance.\\n2. **Use Communication Channels**: Utilize Discord, WeChat, or Slack for inquiries.'), AlpacaItem(instruction='What guidelines should be followed for writing effective documentation?', input='', output='Guidelines for writing effective documentation include:\\n1. **Clarity**: Ensure explanations are clear and concise.\\n2. **Completeness**: Document all classes and methods thoroughly.\\n3. **Consistency**: Follow the established documentation style throughout.'), AlpacaItem(instruction='How can contributors ensure their code is secure?', input='', output='To ensure code security, contributors should:\\n1. **Review for Vulnerabilities**: Check for potential security issues before submission.\\n2. **Follow Best Practices**: Implement security best practices in their coding.'), AlpacaItem(instruction='What steps should be taken to run unit tests in CAMEL?', input='', output='To run unit tests in CAMEL, follow these steps:\\n1. **Activate Virtual Environment**: Activate the camel virtual environment.\\n2. **Run Tests**: Execute `pytest .` to run all tests.'), AlpacaItem(instruction='What are the responsibilities of code reviewers in CAMEL?', input='', output='Code reviewers in CAMEL have the following responsibilities:\\n1. **Timely Reviews**: Strive to review pull requests promptly.\\n2. **Constructive Feedback**: Provide clear and constructive feedback.\\n3. **Approval**: Only approve code that meets the necessary criteria.'), AlpacaItem(instruction='How should contributors document parameters in their code?', input='', output='Contributors should document parameters in their code by:\\n1. **Using an Args Section**: Include an `Args` section for function parameters.\\n2. **Following Structure**: Document parameter name, type, description, and default value clearly.'), AlpacaItem(instruction='What is the recommended way to log information in CAMEL?', input='', output='The recommended way to log information in CAMEL is to use the `logger` module instead of `print`. This ensures consistent and configurable logging.'), AlpacaItem(instruction='What should contributors do if they want to update dependencies?', input='', output='If contributors want to update dependencies, they should:\\n1. **Modify pyproject.toml**: Add, update, or delete dependencies in the `pyproject.toml` file.\\n2. **Run poetry lock**: Execute `poetry lock` to synchronize the dependencies with the lock file.'), AlpacaItem(instruction='What is the process for generating a coverage report in CAMEL?', input='', output='To generate a coverage report in CAMEL, follow these steps:\\n1. **Erase Previous Coverage**: Run `coverage erase` to clear old data.\\n2. **Run Coverage**: Execute `coverage run --source=. -m pytest .` to run tests and collect coverage data.\\n3. **Generate Report**: Use `coverage html` to create an HTML report.'), AlpacaItem(instruction='What should contributors consider when writing commit messages?', input='', output=\"When writing commit messages, contributors should consider:\\n1. **Descriptiveness**: Clearly describe what changes were made and why.\\n2. **Imperative Mood**: Use the imperative form for clarity (e.g., 'Fix bug').\\n3. **Length**: Keep the subject line under 50 characters.\"), AlpacaItem(instruction='How can contributors ensure their code is maintainable?', input='', output='Contributors can ensure code maintainability by:\\n1. **Writing Readable Code**: Ensure code is easy to read and well-commented.\\n2. **Structuring Code Well**: Organize code in a way that makes future changes easy.'), AlpacaItem(instruction='What are the common pitfalls to avoid during code reviews?', input='', output='Common pitfalls to avoid during code reviews include:\\n1. **Rushed Reviews**: Take the time to thoroughly review code instead of rushing.\\n2. **Ignoring Feedback**: Address all feedback provided by reviewers.'), AlpacaItem(instruction='What is the recommended process for submitting a pull request?', input='', output='The recommended process for submitting a pull request includes:\\n1. **Create a New PR**: Go to GitHub Pulls and create a new pull request.\\n2. **Fill in Information**: Provide a proper title and link to the related issue.\\n3. **Update Reviewers and Labels**: Ensure the PR has appropriate reviewers and labels.'), AlpacaItem(instruction='How should contributors manage issues on GitHub?', input='', output='Contributors should manage issues on GitHub by:\\n1. **Assigning Issues**: Assign issues to themselves when starting work.\\n2. **Creating Focused Issues**: Keep issues focused on specific bugs, improvements, or features.'), AlpacaItem(instruction='What is the significance of using a consistent naming convention in CAMEL?', input='', output='Using a consistent naming convention in CAMEL is significant because:\\n1. **Reduces Ambiguity**: Clear names prevent confusion about the purpose of variables and functions.\\n2. **Improves Readability**: Descriptive names enhance code readability for all contributors.'), AlpacaItem(instruction='How can contributors ensure their contributions are recognized?', input='', output='Contributors can ensure their contributions are recognized by:\\n1. **Mentioning Twitter Accounts**: Inform maintainers if they have a Twitter account for recognition.\\n2. **Engaging with the Community**: Actively participate in discussions and contributions.'), AlpacaItem(instruction='What should contributors do if they encounter outdated issues?', input='', output='If contributors encounter outdated issues, they should:\\n1. **Notify Maintainers**: Give a heads-up to maintainers so they can address the outdated issues.\\n2. **Check for Relevance**: Assess whether the issue is still applicable before proceeding.'), AlpacaItem(instruction='What is the process for conducting a sprint review?', input='', output='The process for conducting a sprint review includes:\\n1. **Feedback Session**: Stakeholders review and provide feedback on the delivered features.\\n2. **Identifying Improvements**: Discuss areas for improvement based on the completed work.'), AlpacaItem(instruction='What actions should be taken to ensure good coding standards in CAMEL?', input='', output=\"To ensure good coding standards in CAMEL, contributors should:\\n1. **Follow Style Guidelines**: Adhere to the project's style guidelines during coding.\\n2. **Conduct Code Reviews**: Participate in code reviews to maintain quality and consistency.\"), AlpacaItem(instruction='How can contributors participate in developer meetings?', input='', output='Contributors can participate in developer meetings by:\\n1. **Joining Scheduled Meetings**: Attend meetings as per the announced schedule.\\n2. **Preparing Updates**: Be ready to share updates on their contributions.'), AlpacaItem(instruction='What is the importance of providing interactive elements in cookbooks?', input='', output='Providing interactive elements in cookbooks is important because:\\n1. **Enhances Learning**: Allows users to run and modify code directly, improving understanding.\\n2. **Encourages Engagement**: Engages users more effectively in the learning process.'), AlpacaItem(instruction='What should contributors do to ensure their pull requests are merged?', input='', output='To ensure their pull requests are merged, contributors should:\\n1. **Pass Checks**: Ensure that their code passes formatting, linting, and testing checks.\\n2. **Address Feedback**: Respond to reviewer feedback and make necessary updates.'), AlpacaItem(instruction='How can contributors keep track of project updates and changes?', input='', output='Contributors can keep track of project updates and changes by:\\n1. **Monitoring GitHub**: Regularly check the GitHub repository for updates and discussions.\\n2. **Participating in Meetings**: Attend developer meetings to stay informed on project progress.'), AlpacaItem(instruction='What is the role of maintainers in the CAMEL project?', input='', output='The role of maintainers in the CAMEL project includes:\\n1. **Overseeing Contributions**: Review and approve contributions from the community.\\n2. **Guiding Development**: Provide direction on project goals and ensure quality standards are met.'), AlpacaItem(instruction='How can contributors effectively communicate their ideas or suggestions?', input='', output='Contributors can effectively communicate their ideas or suggestions by:\\n1. **Using Discord**: Utilize the CAMEL Discord channel for discussions.\\n2. **Creating Issues**: Document and create issues on GitHub to outline suggestions clearly.'), AlpacaItem(instruction='What steps should be followed to run pre-commit checks in CAMEL?', input='', output='To run pre-commit checks in CAMEL, follow these steps:\\n1. **Install Pre-commit Hook**: Run `pre-commit install` to set up the hooks in the local git repo.\\n2. **Execute Checks**: Use `pre-commit run --all-files` to run all checks before pushing changes.'), AlpacaItem(instruction='What is the significance of using GitHub Secrets in CAMEL?', input='', output='The significance of using GitHub Secrets in CAMEL includes:\\n1. **Security**: Protect sensitive information such as API keys from being exposed in the codebase.\\n2. **Environment Configuration**: Facilitate the configuration of environments for testing and deployment.'), AlpacaItem(instruction='How should contributors handle feedback on their pull requests?', input='', output='Contributors should handle feedback on their pull requests by:\\n1. **Addressing Comments**: Review and address all comments and suggestions made by reviewers.\\n2. **Discussion**: Engage in discussions if they disagree with any feedback to find a resolution.'), AlpacaItem(instruction='What are the common actions contributors should take before pushing code?', input='', output='Common actions contributors should take before pushing code include:\\n1. **Run Tests**: Ensure all tests pass by running `pytest .`.\\n2. **Lint and Format**: Run linting and formatting checks using `pre-commit run --all-files`.'), AlpacaItem(instruction='What is the purpose of the CAMEL cookbook?', input='', output='The purpose of the CAMEL cookbook is to provide users with practical, hands-on examples and recipes that demonstrate how to effectively use the CAMEL framework.'), AlpacaItem(instruction='How can contributors improve the documentation of their contributions?', input='', output='Contributors can improve the documentation of their contributions by:\\n1. **Adding Examples**: Include relevant examples that illustrate the usage of their code.\\n2. **Clarifying Explanations**: Ensure explanations are clear and helpful for users of all skill levels.'), AlpacaItem(instruction='What should contributors do to maintain high-quality standards in their contributions?', input='', output=\"To maintain high-quality standards in their contributions, contributors should:\\n1. **Follow Guidelines**: Adhere to the project's contribution guidelines and coding standards.\\n2. **Conduct Thorough Testing**: Ensure their code is thoroughly tested and well-documented.\"), AlpacaItem(instruction='What is the process for integrating feedback from code reviews into contributions?', input='', output='The process for integrating feedback from code reviews includes:\\n1. **Review Feedback**: Carefully read and understand the feedback provided by reviewers.\\n2. **Make Necessary Changes**: Update the code as necessary to address the feedback.\\n3. **Notify Reviewers**: Inform reviewers once changes have been made for re-evaluation.'), AlpacaItem(instruction='What should contributors do to keep their local repository updated?', input='', output='To keep their local repository updated, contributors should:\\n1. **Pull Latest Changes**: Regularly run `git pull` to fetch and merge changes from the main repository.\\n2. **Resolve Conflicts**: Address any merge conflicts that arise during the update process.'), AlpacaItem(instruction='How should contributors structure their pull requests?', input='', output='Contributors should structure their pull requests by:\\n1. **Providing a Clear Title**: Use a descriptive title that summarizes the changes made.\\n2. **Linking Related Issues**: Include references to related issues for context.'), AlpacaItem(instruction=\"What actions should be taken if a contributor's pull request is rejected?\", input='', output=\"If a contributor's pull request is rejected, they should:\\n1. **Review Feedback**: Understand the reasons for rejection based on reviewer feedback.\\n2. **Make Improvements**: Address the concerns raised and improve the code before resubmitting.\"), AlpacaItem(instruction='What is the significance of maintaining good documentation in CAMEL?', input='', output=\"Maintaining good documentation in CAMEL is significant because:\\n1. **User Guidance**: It provides clear guidance for users on how to effectively use the framework.\\n2. **Contribution Clarity**: Helps new contributors understand the project's structure and contribute effectively.\"), AlpacaItem(instruction=\"How can contributors ensure their code adheres to the project's style guidelines?\", input='', output=\"Contributors can ensure their code adheres to the project's style guidelines by:\\n1. **Using Linters**: Run linting tools like `ruff` to check for style violations.\\n2. **Reviewing Guidelines**: Familiarize themselves with the project's coding style documents.\"), AlpacaItem(instruction='What should contributors do if they want to propose a new feature?', input='', output='If contributors want to propose a new feature, they should:\\n1. **Open an Issue**: Create a new issue on GitHub to discuss the proposed feature.\\n2. **Provide Details**: Clearly outline the functionality and benefits of the feature.'), AlpacaItem(instruction='How can contributors effectively use the issue tracker on GitHub?', input='', output='Contributors can effectively use the issue tracker on GitHub by:\\n1. **Creating Clear Issues**: Document issues clearly with sufficient detail for context.\\n2. **Labeling Issues**: Use appropriate labels to categorize issues for easier navigation.'), AlpacaItem(instruction='What should contributors do to prepare for a sprint planning meeting?', input='', output='To prepare for a sprint planning meeting, contributors should:\\n1. **Review Backlog**: Familiarize themselves with the backlog items and their status.\\n2. **Identify Priorities**: Determine which items they plan to work on during the upcoming sprint.'), AlpacaItem(instruction='How should contributors document their code to enhance understanding?', input='', output='Contributors should document their code to enhance understanding by:\\n1. **Writing Clear Docstrings**: Use docstrings to explain the purpose and functionality of classes and methods.\\n2. **Adding Comments**: Include comments in the code to clarify complex logic or processes.'), AlpacaItem(instruction='What should contributors do before submitting a pull request in CAMEL?', input='', output='Before submitting a pull request in CAMEL, contributors should:\\n1. **Follow the Workflow**: Ensure they have followed the appropriate workflow based on their contributor status (Fork-and-Pull-Request for community members and Checkout-and-Pull-Request for members of CAMEL-AI.org).\\n2. **Run Checks**: Make sure their code passes formatting, linting, and testing checks.\\n3. **Document Changes**: Clearly mention any related issues and tag the relevant maintainers in the pull request.'), AlpacaItem(instruction='Explain the importance of interactive elements in the CAMEL cookbook.', input='', output='The importance of interactive elements in the CAMEL cookbook includes:\\n1. **Enhanced Learning**: They allow users to run and modify code examples directly, facilitating a hands-on learning experience.\\n2. **Immediate Feedback**: Users can see the results of their modifications in real time, which helps in understanding concepts better.\\n3. **Engagement**: Interactive elements make the cookbook more engaging and encourage experimentation.'), AlpacaItem(instruction='What are the key principles to follow when writing documentation for CAMEL?', input='', output='Key principles to follow when writing documentation for CAMEL include:\\n1. **Clarity**: Ensure that explanations are clear, concise, and easy to understand.\\n2. **Completeness**: Provide comprehensive documentation for all classes and methods to cover the codebase thoroughly.\\n3. **Consistency**: Maintain a consistent style and structure throughout the documentation to enhance readability.'), AlpacaItem(instruction='Describe the process for reviewing cookbooks in CAMEL.', input='', output='The process for reviewing cookbooks in CAMEL includes:\\n1. **Review in Colab**: Reviewers will leave comments and suggestions directly in the Google Colab document.\\n2. **Focus on Accuracy**: Ensure that the code is correct and performs as expected, with accurate results.\\n3. **Check Clarity and Structure**: Review the explanations for clarity and ensure the flow is logical and easy to follow.'), AlpacaItem(instruction='What is the role of the CAMEL community in the development process?', input='', output='The role of the CAMEL community in the development process includes:\\n1. **Contributions**: Community members can contribute code, documentation, and ideas to enhance the project.\\n2. **Feedback**: They provide valuable feedback on features and usability, helping to shape the direction of the project.\\n3. **Support**: The community supports each other through communication channels like Discord and Slack, fostering collaboration.'), AlpacaItem(instruction='How should contributors handle feedback received during code reviews?', input='', output=\"Contributors should handle feedback received during code reviews by:\\n1. **Addressing Comments**: Actively addressing all feedback provided by reviewers, discussing any disagreements constructively.\\n2. **Updating Code**: Making necessary changes to the code based on the feedback to meet the project's standards.\\n3. **Engaging in Dialogue**: Engaging in dialogue with reviewers to clarify concerns and ensure mutual understanding.\"), AlpacaItem(instruction='What are the steps to take when creating a new issue on the CAMEL GitHub page?', input='', output=\"When creating a new issue on the CAMEL GitHub page, follow these steps:\\n1. **Visit Issues Page**: Go to the [GitHub Issues](https://github.com/camel-ai/camel/issues) page.\\n2. **Create New Issue**: Click on 'New Issue' and select the appropriate category for the issue.\\n3. **Fill Required Information**: Provide a clear title and detailed description, then assign labels and assignees as needed.\"), AlpacaItem(instruction='Explain how to ensure reproducibility in the CAMEL cookbook.', input='', output='To ensure reproducibility in the CAMEL cookbook, contributors should:\\n1. **Validate Code**: Verify that all code snippets are correct and produce the same results when executed.\\n2. **Include Dependencies**: Clearly document any dependencies required to run the code, including environment setup instructions.\\n3. **Test Code**: Encourage users to test the code on their own machines to confirm that they can replicate the results.'), AlpacaItem(instruction=\"What is the significance of the `pre-commit` hook in CAMEL's development process?\", input='', output=\"The significance of the `pre-commit` hook in CAMEL's development process includes:\\n1. **Automatic Checks**: It ensures that every commit is automatically formatted and linted, maintaining code quality.\\n2. **Consistency**: Helps maintain consistent coding standards across contributions by enforcing checks before code is committed.\\n3. **Error Prevention**: Reduces the likelihood of introducing errors into the codebase by catching issues early.\"), AlpacaItem(instruction='Outline the steps for submitting a cookbook after the review process.', input='', output='The steps for submitting a cookbook after the review process include:\\n1. **Download the Cookbook**: Once finalized in Colab, download the notebook as a .ipynb file.\\n2. **Create a Pull Request**: Open a pull request to add the cookbook to the docs folder of the repository.\\n3. **Include Documentation**: Ensure the pull request includes any necessary documentation or references to integrate the cookbook into the main docs.'), AlpacaItem(instruction='What should be included in a proper commit message?', input='', output='A proper commit message should include:\\n1. **Subject Line**: A brief summary of the changes (max 50 characters).\\n2. **Body**: A detailed explanation of what changed and why, wrapped at 72 characters.\\n3. **Footer**: Any references to related issues or pull requests if applicable.'), AlpacaItem(instruction='Describe the purpose of the CAMEL sprint review meetings.', input='', output='The purpose of the CAMEL sprint review meetings includes:\\n1. **Feedback Gathering**: To gather feedback from stakeholders on features delivered during the sprint.\\n2. **Progress Assessment**: To assess the progress made towards the sprint goals and identify areas for improvement.\\n3. **Future Planning**: To discuss potential adjustments or changes for future sprints based on feedback received.'), AlpacaItem(instruction='How can contributors improve the quality of their code submissions?', input='', output='Contributors can improve the quality of their code submissions by:\\n1. **Following Guidelines**: Adhering to the coding standards and guidelines provided by CAMEL.\\n2. **Testing Code**: Writing and running unit tests to ensure code functionality and reliability.\\n3. **Peer Reviews**: Participating in peer code reviews to gain insights and suggestions for improvement.'), AlpacaItem(instruction='What are the main communication channels for the CAMEL community?', input='', output='The main communication channels for the CAMEL community include:\\n1. **Discord**: A platform for real-time communication and discussions.\\n2. **WeChat**: For Chinese-speaking members to connect and collaborate.\\n3. **Slack**: An additional channel for announcements and team collaboration.'), AlpacaItem(instruction='Explain the role of the `Args:` section in docstrings.', input='', output='The `Args:` section in docstrings plays a critical role by:\\n1. **Documenting Parameters**: It provides a clear description of the function or method parameters, including their types and default values.\\n2. **Improving Clarity**: Helps users understand the expected inputs when using the function or method.\\n3. **Standardization**: Ensures a standardized format for documenting parameters, making it easier for users to read and understand the code.'), AlpacaItem(instruction='What are the guidelines for writing effective unit tests in CAMEL?', input='', output='Guidelines for writing effective unit tests in CAMEL include:\\n1. **Coverage**: Ensure that tests cover a wide range of scenarios, including edge cases.\\n2. **Clarity**: Write clear and concise tests that are easy to understand and maintain.\\n3. **Isolation**: Keep tests isolated from external dependencies to focus on testing specific functionality.'), AlpacaItem(instruction='Describe the importance of maintaining a high-quality cookbook in CAMEL.', input='', output='Maintaining a high-quality cookbook in CAMEL is important because:\\n1. **User Resource**: It serves as a crucial resource for users to learn and effectively use the CAMEL framework.\\n2. **Encourages Contributions**: A well-maintained cookbook encourages more contributors to add new recipes and examples.\\n3. **Promotes Best Practices**: It showcases best practices and effective use cases, guiding users towards optimal usage of the framework.'), AlpacaItem(instruction='What should contributors do if they encounter issues during the setup process?', input='', output='If contributors encounter issues during the setup process, they should:\\n1. **Reach Out for Help**: Contact a maintainer for assistance in resolving the issue.\\n2. **Consult Documentation**: Review the setup documentation to ensure all steps are followed correctly.\\n3. **Engage with the Community**: Utilize community channels like Discord or Slack to seek advice from other contributors.'), AlpacaItem(instruction='What principles guide the writing of clear docstrings in CAMEL?', input='', output='Principles that guide the writing of clear docstrings in CAMEL include:\\n1. **Use Raw Strings**: Begin with `r\"\"\"` to handle special characters correctly.\\n2. **Brief Descriptions**: Provide a concise summary of the class or method\\'s purpose.\\n3. **Document Parameters**: Clearly document parameters in the `Args:` section with types and descriptions.'), AlpacaItem(instruction='How can contributors ensure their code is properly tested before submission?', input='', output='Contributors can ensure their code is properly tested before submission by:\\n1. **Running Unit Tests**: Execute all unit tests and ensure they pass successfully.\\n2. **Adding New Tests**: Write additional tests for any new features or bug fixes implemented.\\n3. **Using Coverage Tools**: Utilize coverage tools to check that all code paths are tested.'), AlpacaItem(instruction='What is the purpose of the CAMEL contribution guidelines?', input='', output=\"The purpose of the CAMEL contribution guidelines includes:\\n1. **Clarifying Expectations**: To set clear expectations for contributors regarding the contribution process.\\n2. **Maintaining Quality**: To ensure that contributions meet the project's quality standards and coding practices.\\n3. **Streamlining Collaboration**: To facilitate smoother collaboration among contributors and maintainers.\"), AlpacaItem(instruction='Explain how to handle security vulnerabilities in CAMEL code contributions.', input='', output='To handle security vulnerabilities in CAMEL code contributions, contributors should:\\n1. **Conduct Security Reviews**: Review code for potential security issues during the development process.\\n2. **Report Vulnerabilities**: Immediately report any discovered vulnerabilities to the maintainers for prompt action.\\n3. **Follow Best Practices**: Adhere to best practices for secure coding and testing.'), AlpacaItem(instruction='What are common pitfalls to avoid when submitting pull requests?', input='', output='Common pitfalls to avoid when submitting pull requests include:\\n1. **Large PRs**: Avoid submitting overly large pull requests; break changes into smaller, manageable parts.\\n2. **Ignoring Feedback**: Do not ignore reviewer feedback; address all comments and suggestions thoroughly.\\n3. **Rushed Submissions**: Take the time to thoroughly test and review the code before submission to avoid introducing errors.'), AlpacaItem(instruction='How can contributors ensure their documentation is up to date?', input='', output='Contributors can ensure their documentation is up to date by:\\n1. **Reviewing Documentation Regularly**: Periodically check documentation for accuracy and relevance.\\n2. **Updating with Code Changes**: Make documentation updates in conjunction with code changes to reflect any modifications.\\n3. **Encouraging Feedback**: Solicit feedback from users and other contributors to identify areas for improvement.'), AlpacaItem(instruction='What should be included in the `Common Actions` section of CAMEL documentation?', input='', output='The `Common Actions` section of CAMEL documentation should include:\\n1. **Update Dependencies**: Instructions for adding or updating dependencies in the project.\\n2. **Linting & Formatting**: Guidance on how to run linting and formatting checks on the codebase.\\n3. **Running Tests**: Steps for executing unit tests to verify code functionality.'), AlpacaItem(instruction='What are the benefits of using Google Colab for writing cookbooks?', input='', output='Benefits of using Google Colab for writing cookbooks include:\\n1. **Interactive Environment**: Allows users to run code interactively alongside explanations, enhancing learning.\\n2. **Easy Sharing**: Colab notebooks can be easily shared with others for collaboration and feedback.\\n3. **Built-in Tools**: Provides built-in tools for visualizations and data analysis, making it easier to demonstrate concepts.'), AlpacaItem(instruction='How can contributors engage with the CAMEL community effectively?', input='', output='Contributors can engage with the CAMEL community effectively by:\\n1. **Participating in Discussions**: Actively join conversations in Discord and Slack channels.\\n2. **Attending Meetings**: Attend developer meetings and community calls to share ideas and feedback.\\n3. **Contributing**: Regularly contribute code, documentation, or support to foster collaboration.'), AlpacaItem(instruction='What is the purpose of the `principles` section in CAMEL contribution guidelines?', input='', output=\"The purpose of the `principles` section in CAMEL contribution guidelines includes:\\n1. **Establishing Standards**: To set clear standards for coding practices and documentation.\\n2. **Promoting Quality**: To ensure that all contributions meet high-quality benchmarks and best practices.\\n3. **Guiding Contributors**: To provide guidance for contributors on how to align their work with the project's goals.\"), AlpacaItem(instruction='Describe the process for handling bugs reported in the CAMEL repository.', input='', output='The process for handling bugs reported in the CAMEL repository includes:\\n1. **Reviewing Reports**: Review bug reports for clarity and completeness to understand the issue.\\n2. **Assigning Issues**: Assign the bug to relevant contributors for investigation and resolution.\\n3. **Testing Fixes**: Test any fixes thoroughly before merging them into the main branch to ensure the issue is resolved.'), AlpacaItem(instruction='What should contributors do to maintain clear and descriptive variable names in their code?', input='', output=\"To maintain clear and descriptive variable names in their code, contributors should:\\n1. **Avoid Abbreviations**: Use full words instead of abbreviations to enhance clarity.\\n2. **Descriptive Naming**: Choose names that clearly convey the variable's purpose or content.\\n3. **Consistency**: Maintain consistent naming conventions throughout the codebase to facilitate understanding.\"), AlpacaItem(instruction='What are the steps to follow for effective sprint planning in CAMEL?', input='', output='Effective sprint planning in CAMEL involves the following steps:\\n1. **Define Sprint Goals**: Establish clear goals for what the sprint aims to achieve.\\n2. **Select Items**: Developers select items from the backlog that align with the sprint goals.\\n3. **Estimate Efforts**: Estimate the effort required for each selected item to ensure realistic planning.'), AlpacaItem(instruction='What is the significance of the `test` directory in CAMEL?', input='', output='The significance of the `test` directory in CAMEL includes:\\n1. **Unit Tests**: It contains unit tests that validate the functionality of the codebase.\\n2. **Quality Assurance**: Ensures that code changes do not introduce new bugs or regressions.\\n3. **Documentation of Functionality**: Provides documentation of expected behavior through test cases.'), AlpacaItem(instruction='How can contributors ensure their pull requests are ready for review?', input='', output='Contributors can ensure their pull requests are ready for review by:\\n1. **Completing All Checks**: Ensuring that all tests pass and that the code adheres to style guidelines.\\n2. **Providing Descriptions**: Including a clear description of the changes made and the rationale behind them.\\n3. **Linking Issues**: Linking the pull request to relevant issues for context.'), AlpacaItem(instruction='What are the recommended practices for writing clear explanations in cookbooks?', input='', output='Recommended practices for writing clear explanations in cookbooks include:\\n1. **Simplicity**: Use simple language and avoid jargon to make content accessible.\\n2. **Step-by-Step Instructions**: Provide clear, step-by-step guidance for executing code examples.\\n3. **Contextual Information**: Include context to help users understand the purpose and application of the code.'), AlpacaItem(instruction=\"What is the role of the `logger` module in CAMEL's coding practices?\", input='', output=\"The role of the `logger` module in CAMEL's coding practices includes:\\n1. **Consistent Logging**: Provides a standardized way to log messages across the application.\\n2. **Configurability**: Allows for configurable logging levels and output formats.\\n3. **Debugging Ease**: Aids in debugging by capturing important runtime information without cluttering the output.\"), AlpacaItem(instruction='How does CAMEL handle versioning and releases?', input='', output='CAMEL handles versioning and releases by:\\n1. **Semantic Versioning**: Following the semantic versioning (semver) standard to manage version increments.\\n2. **Pre-release Management**: Actively developing with pre-1.0 software, allowing for non-backwards-compatible changes in minor versions.\\n3. **Release Triggers**: Making releases when a significant body of changes has accumulated and is ready for deployment.'), AlpacaItem(instruction='Explain the guidelines for contributing to the documentation in CAMEL.', input='', output='The guidelines for contributing to the documentation in CAMEL include:\\n1. **Comprehensive Coverage**: Ensure all classes and methods are well-documented.\\n2. **Consistency in Style**: Maintain consistent formatting and style throughout the documentation.\\n3. **Regular Updates**: Update documentation in tandem with code changes to keep it accurate.'), AlpacaItem(instruction='What is the importance of using a template for writing cookbooks?', input='', output='The importance of using a template for writing cookbooks includes:\\n1. **Uniformity**: Ensures a consistent structure and style across all cookbook entries.\\n2. **Guidance**: Provides a framework for contributors to follow, making the writing process easier.\\n3. **Quality Maintenance**: Helps maintain high-quality documentation by outlining key elements to include.'), AlpacaItem(instruction='How should contributors approach code refactoring in CAMEL?', input='', output='Contributors should approach code refactoring in CAMEL by:\\n1. **Identifying Areas for Improvement**: Analyzing the codebase to find code that can be optimized or simplified.\\n2. **Ensuring Functionality**: Running tests to ensure that refactoring does not change the existing functionality.\\n3. **Documenting Changes**: Clearly documenting any changes made during the refactoring process for future reference.'), AlpacaItem(instruction='What are the best practices for maintaining consistency in coding style?', input='', output='Best practices for maintaining consistency in coding style include:\\n1. **Adhering to Style Guides**: Following established style guides such as the Google Python Style Guide.\\n2. **Using Linters**: Implementing linting tools to automatically check for style violations.\\n3. **Conducting Code Reviews**: Engaging in code reviews to ensure that all contributions adhere to the coding standards.'), AlpacaItem(instruction='What should contributors do if they wish to add a new feature to CAMEL?', input='', output='If contributors wish to add a new feature to CAMEL, they should:\\n1. **Discuss the Idea**: Engage with the community to discuss the feature idea and gather feedback.\\n2. **Create an Issue**: Create an issue to track the feature request and outline the proposed changes.\\n3. **Follow Contribution Guidelines**: Adhere to the contribution guidelines when developing and submitting the feature.'), AlpacaItem(instruction='How can contributors ensure their code is well-documented?', input='', output='Contributors can ensure their code is well-documented by:\\n1. **Writing Docstrings**: Including clear and concise docstrings for all functions and classes.\\n2. **Adding Comments**: Using comments to explain complex logic or important decisions in the code.\\n3. **Maintaining Documentation**: Keeping external documentation updated to reflect any changes in the codebase.'), AlpacaItem(instruction='What is the significance of the `contributing` file in a project repository?', input='', output='The significance of the `contributing` file in a project repository includes:\\n1. **Guidance for Contributors**: Provides clear instructions and guidelines for how to contribute to the project.\\n2. **Setting Expectations**: Helps set expectations for the quality and types of contributions that are welcome.\\n3. **Streamlining Contributions**: Facilitates a smoother contribution process by clarifying the steps involved.'), AlpacaItem(instruction='How can the CAMEL community support new contributors?', input='', output='The CAMEL community can support new contributors by:\\n1. **Providing Mentorship**: Experienced members can offer mentorship and guidance to help newcomers understand the project.\\n2. **Encouraging Participation**: Actively encouraging new contributors to participate in discussions and meetups.\\n3. **Sharing Resources**: Sharing resources, tutorials, and documentation to help newcomers get started.'), AlpacaItem(instruction='What are the key components of effective communication within the CAMEL community?', input='', output='Key components of effective communication within the CAMEL community include:\\n1. **Clarity**: Ensuring messages are clear and easy to understand.\\n2. **Respect**: Maintaining a respectful tone in discussions, valuing all contributions.\\n3. **Timeliness**: Responding to queries and feedback in a timely manner to facilitate collaboration.'), AlpacaItem(instruction='What should contributors include in their pull request descriptions?', input='', output='Contributors should include the following in their pull request descriptions:\\n1. **Summary of Changes**: A brief overview of what changes have been made.\\n2. **Rationale**: Explanation of why the changes were necessary and any relevant context.\\n3. **Related Issues**: Links to any related issues or discussions that pertain to the pull request.'), AlpacaItem(instruction='How can the CAMEL community ensure that documentation remains relevant?', input='', output='The CAMEL community can ensure that documentation remains relevant by:\\n1. **Regular Reviews**: Conducting regular reviews of documentation to identify outdated information.\\n2. **Encouraging Feedback**: Actively soliciting feedback from users to find areas that need improvement or updates.\\n3. **Integrating Changes**: Making updates in tandem with code changes to keep documentation aligned with the current state of the project.'), AlpacaItem(instruction='What is the importance of providing feedback during code reviews?', input='', output='The importance of providing feedback during code reviews includes:\\n1. **Quality Improvement**: Helps improve the overall quality of the code by identifying potential issues and suggesting improvements.\\n2. **Knowledge Sharing**: Facilitates knowledge sharing between contributors, promoting best practices and learning opportunities.\\n3. **Team Collaboration**: Strengthens team collaboration by encouraging open communication and constructive criticism.'), AlpacaItem(instruction='Explain the role of the `docs` folder in a project repository.', input='', output='The role of the `docs` folder in a project repository includes:\\n1. **Documentation Storage**: It serves as the main location for storing all project-related documentation.\\n2. **Guidance for Users**: Provides users with guides, tutorials, and reference materials necessary for using the project effectively.\\n3. **Version Control**: Allows for version control of documentation alongside the codebase, ensuring consistency between the two.'), AlpacaItem(instruction='What should contributors do to prepare for participating in developer meetings?', input='', output='To prepare for participating in developer meetings, contributors should:\\n1. **Review Agenda**: Familiarize themselves with the meeting agenda and topics to be discussed.\\n2. **Prepare Updates**: Prepare updates on their contributions or any relevant issues they are working on.\\n3. **Engage Actively**: Be ready to engage actively in discussions, providing insights and feedback on topics.'), AlpacaItem(instruction='Describe the purpose of the CAMEL project.', input='', output='The purpose of the CAMEL project is to create an open-source initiative focused on developing AI models and tools that can enhance the capabilities of chat agents in a rapidly evolving field.'), AlpacaItem(instruction='What guidelines should contributors follow when writing documentation for CAMEL?', input='', output='Contributors should follow guidelines that include providing comprehensive documentation for all classes and methods, ensuring clarity, and maintaining consistency in style and structure.'), AlpacaItem(instruction='What is the significance of using Google Colab for cookbook contributions?', input='', output='Using Google Colab for cookbook contributions is significant because it allows contributors to run interactive code and include explanations side-by-side, creating a practical, hands-on learning experience.'), AlpacaItem(instruction='List the steps involved in the code review process for CAMEL.', input='', output='The code review process involves:\\n1. Reviewers checking the code for functionality, readability, and compliance with coding standards.\\n2. Providing constructive feedback if changes are necessary.\\n3. Contributors addressing the feedback and updating the pull request.\\n4. Reviewers re-reviewing the updated code before approval.'), AlpacaItem(instruction='What are the key elements to include in a pull request for CAMEL?', input='', output='Key elements to include in a pull request for CAMEL are:\\n1. A proper title and description linking to related issues.\\n2. Updates to reviewers, assignees, labels, and milestones.\\n3. Ensuring the pull request is ready for review.'), AlpacaItem(instruction='Explain the importance of unit tests in CAMEL contributions.', input='', output='Unit tests are important in CAMEL contributions because they help ensure that the code performs the intended tasks, catches potential bugs, and maintains code quality across the project.'), AlpacaItem(instruction='What should contributors do if they encounter difficulties with contribution guidelines?', input='', output='If contributors encounter difficulties with contribution guidelines, they should reach out to a maintainer for assistance, ensuring that the integration of good code into the codebase is not hindered.'), AlpacaItem(instruction='How can contributors ensure their code is properly formatted before submission?', input='', output='Contributors can ensure their code is properly formatted before submission by using pre-commit hooks that automatically format and lint the code, as well as running specific formatting commands provided in the guidelines.'), AlpacaItem(instruction='What types of contributions are encouraged in the CAMEL project?', input='', output='The CAMEL project encourages contributions such as introducing new features, enhancing infrastructure, improving documentation, fixing bugs, and adding examples.'), AlpacaItem(instruction='What is the role of the CAMEL community in supporting new contributors?', input='', output='The CAMEL community plays a supportive role for new contributors by providing communication channels such as Discord and Slack, as well as organizing introduction calls to help them get started.'), AlpacaItem(instruction='What are the benefits of using the Fork-and-Pull-Request workflow in CAMEL?', input='', output='The benefits of using the Fork-and-Pull-Request workflow include allowing contributors to work on their own copy of the project, facilitating collaboration, and ensuring that contributions can be reviewed before merging into the main branch.'), AlpacaItem(instruction='Describe the process for submitting a cookbook to CAMEL documentation.', input='', output='The process for submitting a cookbook to CAMEL documentation includes:\\n1. Writing the cookbook using the provided template in Google Colab.\\n2. Reviewing the draft and incorporating feedback.\\n3. Downloading the finalized Colab notebook as a .ipynb file.\\n4. Creating a pull request to add the cookbook to the docs folder.'), AlpacaItem(instruction='What is the purpose of the CAMEL sprint planning and review process?', input='', output='The purpose of the CAMEL sprint planning and review process is to define deliverables for the sprint, facilitate feedback from stakeholders, and identify areas for improvement in the development process.'), AlpacaItem(instruction='How should contributors document parameters in their code?', input='', output=\"Contributors should document parameters in their code by using an 'Args' section in docstrings, specifying the parameter name, type, description, and default value, while keeping each line under 79 characters.\"), AlpacaItem(instruction='What steps should be taken to ensure the reproducibility of code in CAMEL cookbooks?', input='', output='To ensure reproducibility of code in CAMEL cookbooks, contributors should verify that all code runs correctly, provide clear instructions, and ensure that users can achieve the same results by following the steps.'), AlpacaItem(instruction='Describe how feedback is integrated into cookbook contributions.', input='', output='Feedback is integrated into cookbook contributions by reviewing comments left in the Colab document, addressing any issues or suggestions, and updating the Colab file accordingly before submitting it for integration.'), AlpacaItem(instruction='What is the significance of logging over printing in CAMEL code?', input='', output='The significance of using logging over printing in CAMEL code is to ensure consistent, configurable, and professional logging practices, which enhance the maintainability and readability of the code.'), AlpacaItem(instruction='How does CAMEL ensure high-quality contributions from its community?', input='', output='CAMEL ensures high-quality contributions by implementing strict guidelines for code reviews, requiring documentation and testing, and encouraging open communication among contributors.'), AlpacaItem(instruction='What should contributors keep in mind when naming variables in CAMEL code?', input='', output='Contributors should avoid abbreviations in variable names and opt for clear, descriptive names that convey meaning without requiring additional explanation, improving both human readability and code clarity.'), AlpacaItem(instruction='Explain the importance of interactive elements in CAMEL cookbooks.', input='', output='Interactive elements in CAMEL cookbooks are important as they allow users to run and modify code directly within the Colab environment, enhancing engagement and providing a more effective learning experience.'), AlpacaItem(instruction='What is the purpose of the CAMEL guidelines for writing docstrings?', input='', output='The purpose of the CAMEL guidelines for writing docstrings is to ensure that all classes and methods are documented clearly, providing concise descriptions and structured information about parameters.'), AlpacaItem(instruction='How can contributors effectively communicate with maintainers in CAMEL?', input='', output=\"Contributors can effectively communicate with maintainers in CAMEL by utilizing the community's Discord and Slack channels, as well as scheduling introduction calls for more direct assistance.\"), AlpacaItem(instruction='What is the role of the review process in maintaining code quality in CAMEL?', input='', output='The review process plays a crucial role in maintaining code quality in CAMEL by ensuring that all contributions are checked for functionality, readability, and adherence to project standards before merging.'), AlpacaItem(instruction='What should contributors do if they find an outdated issue in the CAMEL GitHub repository?', input='', output='If contributors find an outdated issue in the CAMEL GitHub repository, they should notify the maintainers so that the issue can be addressed promptly, ensuring the issue tracker remains relevant.'), AlpacaItem(instruction='What are the principles contributors should follow when writing CAMEL cookbooks?', input='', output='Contributors should follow principles such as ensuring high quality, correctness of LLM-generated responses, reproducibility of code, and accessibility of content to a wide range of users.'), AlpacaItem(instruction=\"How can contributors ensure their contributions align with CAMEL's goals?\", input='', output=\"Contributors can ensure their contributions align with CAMEL's goals by familiarizing themselves with project objectives, following contribution guidelines, and actively participating in community discussions.\"), AlpacaItem(instruction='What is the purpose of the CAMEL documentation?', input='', output='The purpose of the CAMEL documentation is to provide comprehensive guidance on using the project, contributing to it, and understanding its architecture, thereby supporting both users and contributors.'), AlpacaItem(instruction='How should contributors handle security vulnerabilities in their code submissions?', input='', output='Contributors should handle security vulnerabilities in their code submissions by identifying and addressing potential issues before submitting a pull request and ensuring that all code adheres to security best practices.'), AlpacaItem(instruction=\"What is the significance of the 'Common Actions' section in CAMEL documentation?\", input='', output=\"The 'Common Actions' section in CAMEL documentation is significant as it outlines routine tasks and commands that contributors need to perform, ensuring consistency and efficiency in project management.\"), AlpacaItem(instruction='What are the steps for building documentation locally for CAMEL?', input='', output=\"The steps for building documentation locally for CAMEL include:\\n1. Navigating to the docs directory.\\n2. Running the command 'make html' to generate the HTML version of the documentation.\"), AlpacaItem(instruction='What is the process for running unit tests in CAMEL?', input='', output=\"The process for running unit tests in CAMEL involves executing the command 'pytest .' to run all tests, ensuring that the codebase is functioning as expected.\"), AlpacaItem(instruction='How can contributors ensure their code is modular and maintainable?', input='', output='Contributors can ensure their code is modular and maintainable by following established design patterns, structuring code logically, and avoiding unnecessary duplication.'), AlpacaItem(instruction='What is the role of the CAMEL community in fostering collaboration?', input='', output='The CAMEL community fosters collaboration by providing communication channels, organizing meetings, and encouraging discussions among contributors to share ideas and improvements.'), AlpacaItem(instruction='Describe the best practices for creating a new issue in the CAMEL GitHub repository.', input='', output='Best practices for creating a new issue in the CAMEL GitHub repository include providing a clear title, detailed description, and using appropriate labels to categorize the issue.'), AlpacaItem(instruction='What should contributors include in their pull request descriptions?', input='', output='Contributors should include in their pull request descriptions a summary of changes made, reference to related issues, and any additional context that may help reviewers understand the modifications.'), AlpacaItem(instruction='How can contributors effectively manage their pull requests in CAMEL?', input='', output='Contributors can effectively manage their pull requests in CAMEL by regularly checking for feedback, promptly addressing comments, and keeping the pull request updated with the latest changes.'), AlpacaItem(instruction=\"Explain the importance of consistency in CAMEL's coding standards.\", input='', output=\"Consistency in CAMEL's coding standards is important as it enhances code readability, maintainability, and helps ensure that all contributions align with the project's overall architecture.\"), AlpacaItem(instruction='What should contributors do to prepare their environment for CAMEL development?', input='', output='Contributors should prepare their environment for CAMEL development by cloning the repository, setting up a virtual environment, installing dependencies, and configuring necessary environment variables.'), AlpacaItem(instruction='How can contributors ensure their contributions are recognized in CAMEL?', input='', output='Contributors can ensure their contributions are recognized in CAMEL by indicating their Twitter handle in pull requests for acknowledgment and following the project’s contribution guidelines.'), AlpacaItem(instruction=\"What is the purpose of the 'Giving Credit' section in CAMEL documentation?\", input='', output=\"The purpose of the 'Giving Credit' section in CAMEL documentation is to acknowledge contributors for their work in releases, fostering a sense of community and appreciation for contributions.\")]\n" ] } ], "source": [ "import random\n", "firecrawl = Firecrawl()\n", "# Scrape and clean content from a specified URL\n", "response = firecrawl.scrape(\n", " url=\"https://github.com/camel-ai/camel/blob/master/CONTRIBUTING.md\"\n", ")\n", "\n", "# Generate the items 50 a time up to 300\n", "alpaca_entries = []\n", "for start in range(1, 301, 50):\n", " # Combine default examples with random samples from previous generations\n", " current_examples = examples + (random.sample(alpaca_entries,\n", " min(5, len(alpaca_entries)))\n", " if alpaca_entries else [])\n", "\n", " batch = generate_alpaca_items(\n", " content=response[\"markdown\"],\n", " n_items=50,\n", " start_num=start,\n", " examples=current_examples\n", " )\n", " print(f\"Generated {len(batch)} items\")\n", " alpaca_entries.extend(batch)\n", "\n", "print(alpaca_entries)\n", "save_json(alpaca_entries, 'alpaca_format_data.json')" ] }, { "cell_type": "markdown", "metadata": { "id": "-va4lzdi0eYj" }, "source": [ "Now to define how each row is formatted" ] }, { "cell_type": "markdown", "metadata": { "id": "6jGOhVcFTMh7" }, "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 81, "referenced_widgets": [ "226d51d81953495b9e2ca4f650d654e5", "780b1544f0ae403ba03ddaf6860c51f4", "3e941e382d054143879aafbe55fbe5b3", "9fb1907fd1ec4eed8d9b02946e03a552", "b11f580aaf6a47b5b00b36a57f785f76", "34582207a33f41539ecc646a43af6eb3", "170e8fbff7f94b8e912a5567f46b5d6a", "b67f5863259d4e2e9ce890b43b57a657", "e3336f3d2d544fe99c854f2f9305cf75", "085313146e8b4a86aa59f655be770d5b", "55ab91a1e2a04f57b7e101f97ef96fcf", "f5b55d439c9b40daaf347e895825ac4e", "13a7c267205a4e5daa9e062c117916a9", "ffcd4099e85b4191a0f20cfeba9b715c", "e96c45247d8f42c5ab08f8f842438497", "b1fa56689f12437bb5b87e254111fb46", "cf739214298b4eac93e1baf891b67652", "03750991da5e4eeba87a901d0d0a532e", "08bd957c1a144a43938159dddcd7fee3", "26b70217fb8445cb922432a22b417e66", "cff88f6edfda44eeb7f8de7c8f932e1b", "8ac42f698e1c4555873630145b7e5fae" ] }, "id": "LjY75GoYUCB8", "outputId": "a9a9b6d3-6681-404c-e94a-460d27a3e3e6" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "226d51d81953495b9e2ca4f650d654e5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Generating train split: 0 examples [00:00, ? examples/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f5b55d439c9b40daaf347e895825ac4e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map: 0%| | 0/290 [00:00\n", " \n", " \n", " [1080/1080 1:15:36, Epoch 29/30]\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
StepTraining Loss
17.647200
27.985900
37.005900
46.531000
56.312700
64.288900
73.915700
83.638800
93.806600
103.667800
113.791900
123.430900
133.403700
143.306600
153.229600
164.033700
173.523600
183.797100
193.636600
202.856000
213.520800
223.221900
233.241100
243.288600
253.886100
263.489300
273.287500
283.102300
293.174300
303.285600
313.779900
323.432400
333.152300
342.856800
353.038300
363.513900
370.815400
382.666400
391.904900
401.890000
412.086400
422.832200
431.872900
442.022700
452.016300
461.788000
471.778000
481.985400
492.185200
502.637900
512.304600
521.768400
531.678200
542.094000
551.795200
561.851900
571.998400
582.147400
591.920100
602.026700
612.746800
621.696500
632.089500
641.844400
652.227700
661.812700
672.512000
682.267200
692.073700
702.150800
712.130700
722.127400
732.116000
740.406900
751.287900
761.280200
771.209200
781.054000
791.204200
801.436100
811.109500
821.301500
831.143700
841.286100
851.226800
861.346200
871.272500
881.346000
891.051200
901.210500
911.056300
921.369300
931.342600
941.137400
951.333100
961.478300
971.355200
981.415900
991.515300
1001.365900
1011.382700
1021.539600
1031.392600
1041.342700
1051.510900
1060.999900
1071.375800
1081.499600
1091.783500
1101.585100
1110.321100
1120.841200
1130.694000
1141.134000
1151.145700
1161.101900
1170.963600
1180.941000
1190.823200
1200.830000
1211.022600
1220.829600
1230.955800
1241.025900
1251.075900
1261.055100
1271.222500
1281.120700
1291.236100
1301.211000
1310.981100
1321.215600
1331.210700
1341.130900
1350.988700
1360.934000
1371.023900
1381.161200
1391.044700
1400.985800
1411.086400
1421.148000
1431.356000
1441.211100
1451.072900
1461.212800
1471.211900
1480.327500
1490.889200
1500.779700
1510.796700
1520.821800
1530.813000
1540.867000
1550.834300
1560.786000
1570.826200
1580.721200
1590.875100
1600.775300
1610.851600
1620.860400
1631.063700
1640.958100
1650.861200
16611.164300
16710.209100
16811.496700
1699.369200
1701.527800
1710.856300
1720.970200
1731.000500
1740.970500
1750.706100
1761.037300
1771.100900
1780.778800
1790.875900
1800.915400
1810.879500
1821.002700
1830.891500
1840.866700
1850.225600
1860.528800
1870.571700
1880.657400
1890.667900
1900.631500
1910.627700
1920.773300
1930.715200
1940.942500
1950.829700
1960.964700
1970.877200
1980.730800
1990.889800
2000.867200
2010.751100
2020.885000
2030.836400
2040.719900
2050.638800
2060.701000
2070.938500
2080.734500
2090.911200
2100.879700
2110.852400
2120.803000
2130.787900
2140.777600
2150.907400
2161.227800
2170.843600
2180.864200
2191.021700
2200.921800
2210.940600
2220.301600
2230.585000
2240.599900
2250.655000
2260.746700
2270.718500
2280.664100
2290.527500
2300.610700
2310.662500
2320.802100
2330.674300
2340.540500
2350.567800
2360.813900
2370.858600
2380.670000
2390.920800
2400.650400
2410.895500
2420.835100
2430.650400
2440.689900
2450.775500
2461.082700
2470.784300
2481.031500
2497.865700
2501.874600
2510.911800
2521.198800
2531.154300
2540.854500
2551.195000
2560.793100
2570.816800
2580.891700
2590.166400
2600.450100
2610.719600
2620.588000
2630.561500
2640.637700
2650.634700
2660.559700
2670.615700
2680.553900
2691.026400
2700.776800
2710.525800
2720.636700
2733.312700
2740.742500
2750.616200
2760.588500
2770.592900
2780.662700
2790.616900
2800.576500
2810.701300
2820.566400
2830.679100
2840.859000
2850.717500
2860.566700
2870.604300
2880.731900
2890.756500
2900.693200
2910.875700
2920.709900
2930.516600
2940.647700
2950.570000
2960.220200
2970.460800
2980.675200
2990.733300
3000.470800
3010.526400
3020.798100
3030.548900
3040.492900
3052.053400
3060.649100
3070.745500
3080.480200
3090.596100
3100.502600
3110.575400
3120.534900
3130.636500
3140.571500
3150.646000
3160.780200
3170.631200
3180.698800
3190.586300
3200.671900
3210.722600
3220.671200
3230.726200
3240.966000
3250.649500
3260.631400
3270.619900
3280.618400
3290.714400
3300.835000
3310.760900
3320.659400
3330.166300
3340.487600
3350.837700
3360.525600
3370.796400
33831.385600
33926.613100
34031.946900
34132.200700
34228.919900
3434.080600
3443.958600
3450.861700
3460.894600
3470.797800
3480.609600
3490.519100
3500.455600
3510.957400
3520.626500
3530.617100
3540.603400
3550.565600
3560.817000
3570.578100
3580.687200
3590.790000
3600.607900
3610.556400
3620.930900
3630.526800
3640.447800
3650.487400
3660.543200
3670.756000
3680.554300
3690.808600
3700.116600
3710.636100
3720.545400
3731.007400
3740.686600
3750.464800
3760.489100
3770.597800
3780.618800
3790.538900
3800.641800
3810.693800
3820.615400
3830.755800
3840.692300
3850.588800
3860.685000
3870.533100
3880.672600
3890.562000
3901.271000
3910.720500
3920.598700
3930.993100
3941.167100
3950.671900
3960.569400
3970.591300
3981.215800
3991.308700
4001.291600
4010.445900
4020.485500
4030.489200
4040.547400
4050.525900
4060.692300
4070.499600
4080.658000
4091.164200
4100.609300
4110.433800
4120.496700
4130.577000
4140.610200
4150.499200
4160.469400
4170.431800
4180.497600
4190.512600
4200.437900
4210.593300
4220.700600
4230.440200
4240.531100
4250.542100
4260.698100
4270.547200
4280.492500
4290.573800
4300.589200
4310.538600
4320.469300
4330.727000
4340.483300
4350.570500
4360.522700
4370.546500
4380.561700
4390.587800
4400.551500
4410.604500
4420.433500
4430.481800
4440.119500
4451.813000
4460.439900
4470.649500
4480.494700
4490.533300
4500.537800
4510.579800
4520.381700
4530.516700
4540.529400
4550.420500
4560.455500
4570.644600
4580.421800
4590.555300
4600.824300
4610.474000
4620.512600
4630.511200
4640.470800
4650.536300
4660.599600
4670.780100
4681.116200
4690.782300
4700.778000
4710.788000
4722.149700
4730.673200
4740.623200
4750.524500
4760.571500
4770.615500
4780.607900
4790.472500
4800.514700
4810.147600
4820.385500
4830.367300
4840.422700
4850.506900
4860.666800
4870.368400
4880.880000
4890.433400
4900.562900
4910.618500
4920.471700
4930.572600
4940.413500
4950.398700
4960.383400
4970.404100
4980.538000
4990.476900
5000.421800
5010.479700
5020.512700
5030.405600
5040.419000
5050.916800
5060.825500
5070.579700
5080.558600
5090.511200
5100.452500
5110.499300
5120.664300
5130.525200
5140.597300
5150.497500
5160.454400
5170.475700
5180.086000
5190.365900
5200.487300
5210.459200
5220.430400
5230.339700
5240.426100
5250.433400
5260.426700
5270.400500
5280.580300
5290.527300
5300.377100
5310.611800
5320.433400
5330.537500
5340.552600
5350.558200
5360.523400
5370.416500
5380.468200
5390.534800
5400.531000
5410.533500
5420.448100
5430.436000
5440.514700
5450.480400
5460.475900
5470.495800
5480.647100
5490.406400
5500.500400
5510.492100
5520.556000
5530.448100
5540.418900
5550.175000
5560.947500
5570.394400
5580.326500
5590.424200
5600.395400
5610.348500
5620.470600
5630.468600
5640.763700
5650.464400
5660.459500
5670.402200
5680.324800
5690.409900
5700.497100
5710.479100
5720.428300
5730.381400
5740.308200
5750.467400
5760.429000
5770.482700
5780.425500
5790.409500
5800.564800
5810.502900
5820.410600
5830.374100
5840.488900
5850.755600
5860.457400
5870.381600
5880.478400
5890.558600
5900.516700
5910.465100
5920.106800
5930.350500
5940.368500
5950.427700
5960.374000
5970.678200
5980.431100
5990.363500
6000.442600
6010.325100
6020.641000
6030.408200
6040.347800
6050.449500
6060.461400
6070.379800
6080.365400
6090.536600
6100.423700
6110.407300
6120.379700
6130.396100
6140.377200
6150.354900
6160.472800
6170.423600
6180.440200
6190.464700
6200.425800
6210.491300
6220.426000
6230.466800
6240.358500
6250.407300
6260.489300
6270.467400
6280.480500
6290.092700
6300.372600
6310.444100
6320.354700
6330.392200
6340.344100
6350.345400
6360.398500
6370.347600
6380.317200
6390.413200
6400.347400
6410.456800
6420.330700
6430.418100
6440.397700
6450.407400
6460.362700
6470.444000
6480.386100
6490.400200
6500.399300
6510.501100
6520.411600
6530.366000
6540.353900
6550.613200
6560.347700
6570.406800
6580.394200
6590.403000
6600.419800
6610.411200
6620.444400
6630.415300
6640.384300
6650.489800
6660.093000
6670.366600
6680.354600
6690.333500
6700.399800
6710.415200
6720.333900
6730.318000
6740.457300
6750.362700
6760.363600
6770.367800
6780.468400
6790.356200
6800.341400
6810.341100
6820.336600
6830.418300
6840.330900
6850.362800
6860.412500
6870.357700
6880.348300
6890.360700
6900.397900
6910.563700
6920.349900
6930.334400
6940.364400
6950.349600
6960.421600
6970.497500
6980.340200
6990.448500
7000.365500
7010.417800
7020.358300
7030.096600
7040.289000
7050.342500
7060.310000
7070.358700
7080.349900
7090.383700
7100.299200
7110.347300
7120.406500
7130.327200
7140.316000
7150.351000
7160.361100
7170.382900
7180.334600
7190.359000
7200.340600
7210.372300
7220.385500
7230.346300
7240.374600
7250.415800
7260.367600
7270.341600
7280.354500
7290.387800
7300.339000
7310.400200
7320.357300
7330.337300
7340.369300
7350.399100
7360.367400
7370.400400
7380.327600
7390.375500
7400.095800
7410.359800
7420.275700
7430.328000
7440.305200
7450.291500
7460.376700
7470.391700
7480.396300
7490.396400
7500.309000
7510.319900
7520.302700
7530.298200
7540.298300
7550.344100
7560.320800
7570.410000
7580.361700
7590.342700
7600.376300
7610.311000
7620.340600
7630.346600
7640.384000
7650.365000
7660.400300
7670.386500
7680.385900
7690.344300
7700.364600
7710.324300
7720.365800
7730.406000
7740.316000
7750.299400
7760.323700
7770.085800
7780.293000
7790.325000
7800.312900
7810.275600
7820.320100
7830.273800
7840.338400
7850.285100
7860.328500
7870.340600
7880.318100
7890.340600
7900.315900
7910.346700
7920.366100
7930.376600
7940.337200
7950.346700
7960.403300
7970.324500
7980.340900
7990.351900
8000.339700
8010.336700
8020.345600
8030.328200
8040.340700
8050.341200
8060.368500
8070.316900
8080.325700
8090.317200
8100.343800
8110.372700
8120.327100
8130.374200
8140.083500
8150.328900
8160.280300
8170.349900
8180.300000
8190.281300
8200.333900
8210.297500
8220.321700
8230.342200
8240.348900
8250.302000
8260.319600
8270.316100
8280.307900
8290.315900
8300.312500
8310.330600
8320.327300
8330.394800
8340.306400
8350.318300
8360.346000
8370.349400
8380.323400
8390.326300
8400.362400
8410.349900
8420.289000
8430.368500
8440.337400
8450.383300
8460.396300
8470.339900
8480.322800
8490.347700
8500.386900
8510.078400
8520.282200
8530.331300
8540.308400
8550.305700
8560.331700
8570.305700
8580.315300
8590.301700
8600.352600
8610.340000
8620.342800
8630.326700
8640.319700
8650.301600
8660.315100
8670.315100
8680.347600
8690.326000
8700.350200
8710.358100
8720.312000
8730.307100
8740.301500
8750.305900
8760.303500
8770.290900
8780.349400
8790.299900
8800.328500
8810.340000
8820.329800
8830.347400
8840.363200
8850.374800
8860.376800
8870.359200
8880.111000
8890.261600
8900.297900
8910.282400
8920.320600
8930.327700
8940.331800
8950.366600
8960.341200
8970.318500
8980.279000
8990.321200
9000.293800
9010.312700
9020.322100
9030.302000
9040.331600
9050.305900
9060.318000
9070.323300
9080.331600
9090.352500
9100.319100
9110.303400
9120.323500
9130.368700
9140.351900
9150.310300
9160.303100
9170.329100
9180.287600
9190.333000
9200.350300
9210.370500
9220.297000
9230.323600
9240.393800
9250.080500
9260.324100
9270.281300
9280.295900
9290.303800
9300.296700
9310.293900
9320.314100
9330.328500
9340.324200
9350.282100
9360.331500
9370.315800
9380.313500
9390.392700
9400.322500
9410.313700
9420.296000
9430.298400
9440.311400
9450.293600
9460.316700
9470.334600
9480.346700
9490.305700
9500.369000
9510.308300
9520.369600
9530.330600
9540.357200
9550.306100
9560.331600
9570.297500
9580.315700
9590.284200
9600.407400
9610.317400
9620.057800
9630.299000
9640.257900
9650.314300
9660.311100
9670.289600
9680.315200
9690.301600
9700.302700
9710.287500
9720.296700
9730.322300
9740.310400
9750.351300
9760.332300
9770.319400
9780.326500
9790.337500
9800.364700
9810.328400
9820.281000
9830.352900
9840.326800
9850.333300
9860.303200
9870.322200
9880.313400
9890.333200
9900.325800
9910.310200
9920.339100
9930.315300
9940.323200
9950.284700
9960.295500
9970.319800
9980.321000
9990.098200
10000.307900
10010.314600
10020.288100
10030.310600
10040.324700
10050.291200
10060.302600
10070.305500
10080.294000
10090.336400
10100.275300
10110.316900
10120.310600
10130.338000
10140.334400
10150.319900
10160.297100
10170.363100
10180.386200
10190.348900
10200.295400
10210.302800
10220.306600
10230.280400
10240.326900
10250.283600
10260.353000
10270.330000
10280.305900
10290.277300
10300.292000
10310.311400
10320.282400
10330.291500
10340.325000
10350.347100
10360.066200
10370.311500
10380.292800
10390.311500
10400.313400
10410.362800
10420.261300
10430.377600
10440.307200
10450.292100
10460.279800
10470.276300
10480.307200
10490.311900
10500.336000
10510.278500
10520.338200
10530.321400
10540.313800
10550.272500
10560.330800
10570.262400
10580.302400
10590.381300
10600.285500
10610.316500
10620.293900
10630.350500
10640.315700
10650.311200
10660.290300
10670.317000
10680.277200
10690.296700
10700.318700
10710.329500
10720.353700
10730.087600
10740.264400
10750.340900
10760.278500
10770.295200
10780.305200
10790.311600
10800.287700

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dtrainer_stats = trainer.train()" ] }, { "cell_type": "markdown", "metadata": { "id": "ekOmTR1hSNcr" }, "source": [ "\n", "### Inference\n", "Let's run the model! You can change the instruction and input - leave the output blank!" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "kR3gIAX-SM2q", "outputId": "c5f16c2f-e32a-4553-f106-950cd8c49437" }, "outputs": [ { "data": { "text/plain": [ "['### Instruction:\\nExplain how can I stay up to date with the CAMEL community.\\n\\n### Input:\\n\\n\\n### Response:\\nTo stay up to date with the CAMEL community, follow these steps:\\n1. **Participate in Discussions**: Actively join conversations in Discord and Slack channels.\\n2. **Review Documentation**: Regularly read the documentation to understand project updates.\\n3. **Engage with the Community**: Attend meetings and contribute to discussions to keep abreast of developments.<|endoftext|>']" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "FastLanguageModel.for_inference(model) # Enable native 2x faster inference\n", "inputs = tokenizer(\n", "[\n", "\n", " AlpacaItem(\n", " instruction=\"Explain how can I stay up to date with the CAMEL community.\",\n", " input=\"\",\n", " output=\"\", # leave this blank for generation!\n", " ).to_string()\n", "\n", "], return_tensors = \"pt\").to(\"cuda\")\n", "\n", "outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True)\n", "tokenizer.batch_decode(outputs)" ] }, { "cell_type": "markdown", "metadata": { "id": "xSepmhPrgOct" }, "source": [ "**Summary**\n", "\n", "\n", "We have generated realistic user queries and responses from a real page and trained on them to produce a model that understands the underlying content." ] }, { "cell_type": "markdown", "metadata": { "id": "94XmiZ_aPiM2" }, "source": [ "That's everything: Got questions about 🐫 CAMEL-AI? Join us on [Discord](https://discord.camel-ai.org)! Whether you want to share feedback, explore the latest in multi-agent systems, get support, or connect with others on exciting projects, we’d love to have you in the community! 🤝\n", "\n", "Check out some of our other work:\n", "\n", "1. 🐫 Creating Your First CAMEL Agent [free Colab](https://docs.camel-ai.org/cookbooks/create_your_first_agent.html)\n", "\n", "2. Graph RAG Cookbook [free Colab](https://colab.research.google.com/drive/1uZKQSuu0qW6ukkuSv9TukLB9bVaS1H0U?usp=sharing)\n", "\n", "3. 🧑‍⚖️ Create A Hackathon Judge Committee with Workforce [free Colab](https://colab.research.google.com/drive/18ajYUMfwDx3WyrjHow3EvUMpKQDcrLtr?usp=sharing)\n", "\n", "4. 🔥 3 ways to ingest data from websites with Firecrawl & CAMEL [free Colab](https://colab.research.google.com/drive/1lOmM3VmgR1hLwDKdeLGFve_75RFW0R9I?usp=sharing)\n", "\n", "5. 🦥 Agentic SFT Data Generation with CAMEL and Mistral Models, Fine-Tuned with Unsloth [free Colab](https://colab.research.google.com/drive/1lYgArBw7ARVPSpdwgKLYnp_NEXiNDOd-?usp=sharing)\n", "\n", "6. 🦥 Agentic SFT Data Generation with CAMEL and Meta Models, Fine-Tuned with Unsloth [free Colab](https://colab.research.google.com/drive/1fdBns2QA1XNwF_tsvG3Hc27QGdViHH3b?usp=sharing)\n", "\n", "Thanks from everyone at 🐫 CAMEL-AI\n", "\n", "\n", "

\n", " \n", " \n", " \n", "⭐ Star us on [*Github*](https://github.com/camel-ai/camel), join our [*Discord*](https://discord.camel-ai.org) or follow our [*X*](https://x.com/camelaiorg)\n", "
" ] } ], "metadata": { "accelerator": "GPU", "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "018aed4e64a44308a9bb21279d0538c2": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "02468f6e89db41ed9b14e2683a600278": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "02f28156b6ff40f88f182009b0ac1ea6": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "03750991da5e4eeba87a901d0d0a532e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "0401ec0090cf49898de2416fd71ae94c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "085313146e8b4a86aa59f655be770d5b": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "08bd957c1a144a43938159dddcd7fee3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "0a6553e5a2cc4e1cbe44eef3424269fc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_c673346cc09d42f68c72eb20a836c389", "placeholder": "​", "style": "IPY_MODEL_6264432f275249e786e94a7ef3381f63", "value": " 167/167 [00:00<00:00, 11.6kB/s]" } }, "0ad931d125eb4537b62018cced82a9c1": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "0ce4dfcfbcc043199356303099f6cd00": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "0e077e463090410aa4ac595107a50595": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "0f32bd72b783416ebc855b656e388541": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "10fa3ded8c434efda5b06c31e4910e1a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "13a7c267205a4e5daa9e062c117916a9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_cf739214298b4eac93e1baf891b67652", "placeholder": "​", "style": "IPY_MODEL_03750991da5e4eeba87a901d0d0a532e", "value": "Map: 100%" } }, "170e8fbff7f94b8e912a5567f46b5d6a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "17ab2817efef445bb57f8d9e7282dd41": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "19170a9389b146e6851c2185d6bad041": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "1960b4e0dd7c41b49e0192ca970da36d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "19d56661827e4b3abeb0c63fb66f0b0b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e4aa2bf364f04dc7b3407141355f88f1", "placeholder": "​", "style": "IPY_MODEL_8fc431678b2542a1b6ea60fd6318165f", "value": " 632/632 [00:00<00:00, 49.8kB/s]" } }, "1a42449fe07946ed8dedb7bd65936a35": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "1b3e9b22f2424000a6ac33f0b6bd47b7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_5135b647084642ca99f85d7c2266ba0f", "IPY_MODEL_5a6eda069a0147bbbb572403fb8058f6", "IPY_MODEL_a2f9afc06df24a9c9c5de7c538930f45" ], "layout": "IPY_MODEL_20ed7b883af246bdb65b52adc8693e66" } }, "1bea5ba86a094a52bc40ee06756a5ff6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "1e886c642507432c9681f9050dd75131": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1e9c506b215c4c8e81b67e3bade5d8d7": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1f097a158dd4432e883bf23255bce24d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1f895d88a6a34e4090115a060dfae2c6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "20ed7b883af246bdb65b52adc8693e66": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "226d51d81953495b9e2ca4f650d654e5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_780b1544f0ae403ba03ddaf6860c51f4", "IPY_MODEL_3e941e382d054143879aafbe55fbe5b3", "IPY_MODEL_9fb1907fd1ec4eed8d9b02946e03a552" ], "layout": "IPY_MODEL_b11f580aaf6a47b5b00b36a57f785f76" } }, "250bb5a8e4974f489cacf8935639266b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e0da6bb808034422b9c91ba039f28feb", "placeholder": "​", "style": "IPY_MODEL_ae732c07c8874ce5840bc2c2ffacea7e", "value": " 2.78M/2.78M [00:00<00:00, 21.4MB/s]" } }, "26b70217fb8445cb922432a22b417e66": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "34582207a33f41539ecc646a43af6eb3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "34ba31c626e8412ebd318f3b4adcb59f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_ea8988a5c1ed4be1932dbbceadfc35bd", "placeholder": "​", "style": "IPY_MODEL_0f32bd72b783416ebc855b656e388541", "value": " 1.67M/1.67M [00:00<00:00, 55.9MB/s]" } }, "3866bdabcd7547e0b8afd634520fcf24": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "398380f4ce264ed59c352aa9cff8780f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e34515dfbff04309a9b374c63da8b750", "max": 2776833, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_0e077e463090410aa4ac595107a50595", "value": 2776833 } }, "3b91e6db7b344d71b96e3d42015bee8e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "3e941e382d054143879aafbe55fbe5b3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b67f5863259d4e2e9ce890b43b57a657", "max": 1, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_e3336f3d2d544fe99c854f2f9305cf75", "value": 1 } }, "3ef2ce92302745ca8cc3544a99fc2a0b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_40ae2519f5c440cda90fd7e8646ff6b5", "IPY_MODEL_91c8f60f61cd47799edf882f670588a9", "IPY_MODEL_5068a025c8f64ca381c973fd4b2396a7" ], "layout": "IPY_MODEL_b4186433b73f493fa008522642e29b54" } }, "40ae2519f5c440cda90fd7e8646ff6b5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8223cb73c0b34a12b172c3f769aba980", "placeholder": "​", "style": "IPY_MODEL_5c5703f40a7b478a8fe8cac071d129be", "value": "tokenizer_config.json: 100%" } }, "42c80f66a03b4bf889c2f86573cb8d8c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_71efbc48cfd444e2b38180f1fbc96b53", "placeholder": "​", "style": "IPY_MODEL_c07b4003587646da84b3f0bfee914414", "value": "merges.txt: 100%" } }, "47020480d7fc437e87d8a60e8598861a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "48f072ab5f434f619ed0b84ce4cd0339": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_745f80fef5ff48f9bf11f61a4db0fb7c", "IPY_MODEL_398380f4ce264ed59c352aa9cff8780f", "IPY_MODEL_250bb5a8e4974f489cacf8935639266b" ], "layout": "IPY_MODEL_a13698bb5352429facc7acbbd870e86e" } }, "490d6a0602dc44dea0839d9d8eb29445": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "4d9abd67f36249d8bff10616a4e2f254": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "5068a025c8f64ca381c973fd4b2396a7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_47020480d7fc437e87d8a60e8598861a", "placeholder": "​", "style": "IPY_MODEL_1f895d88a6a34e4090115a060dfae2c6", "value": " 4.87k/4.87k [00:00<00:00, 336kB/s]" } }, "5135b647084642ca99f85d7c2266ba0f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_17ab2817efef445bb57f8d9e7282dd41", "placeholder": "​", "style": "IPY_MODEL_83b019853b6b4394b2d025c45543c442", "value": "special_tokens_map.json: 100%" } }, "550d2ba6f8ce4c6f92e9898eaf0fd104": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f55aad6510524f04bf0131838cb35b93", "placeholder": "​", "style": "IPY_MODEL_5870d16cf378448f821137a9fa742487", "value": "generation_config.json: 100%" } }, "55ab91a1e2a04f57b7e101f97ef96fcf": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "5870d16cf378448f821137a9fa742487": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "5a6eda069a0147bbbb572403fb8058f6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e1d28d430d584a2184cf9738d950e649", "max": 616, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_3866bdabcd7547e0b8afd634520fcf24", "value": 616 } }, "5b6b9cffe96f4e9299da47f7fa82ef19": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "5c5703f40a7b478a8fe8cac071d129be": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "5e8e55da3e8a411cbf46212c634cfcff": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_02f28156b6ff40f88f182009b0ac1ea6", "max": 7031863, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_dd500467439945948edca97cc0f68bf1", "value": 7031863 } }, "5ea5fb032dde44abb7f7562354c1635c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "6264432f275249e786e94a7ef3381f63": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "68efe057c7574f02a0bf77feaaec4127": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_10fa3ded8c434efda5b06c31e4910e1a", "placeholder": "​", "style": "IPY_MODEL_aa281ccc7244493ab5915f9fcc6a05f0", "value": " 5.55G/5.55G [00:39<00:00, 352MB/s]" } }, "6bdd9c6f75ca4828bee53c35fd0b319c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "71efbc48cfd444e2b38180f1fbc96b53": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "745f80fef5ff48f9bf11f61a4db0fb7c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_ba8022247f914de9bbea92f1a7fc2d0d", "placeholder": "​", "style": "IPY_MODEL_0ce4dfcfbcc043199356303099f6cd00", "value": "vocab.json: 100%" } }, "780b1544f0ae403ba03ddaf6860c51f4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_34582207a33f41539ecc646a43af6eb3", "placeholder": "​", "style": "IPY_MODEL_170e8fbff7f94b8e912a5567f46b5d6a", "value": "Generating train split: " } }, "7b921451da464be7a40fe1cef49d174d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_dba47e477a5a4a8b8a1fccc1271a3e25", "IPY_MODEL_fe90119ee12a4beca6e6b9668fcd74c3", "IPY_MODEL_68efe057c7574f02a0bf77feaaec4127" ], "layout": "IPY_MODEL_ae705acbf2b9471ba7f4f3da6467bf89" } }, "7bc0a19504c544d0b60d682cddb8f7dc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_6bdd9c6f75ca4828bee53c35fd0b319c", "placeholder": "​", "style": "IPY_MODEL_bb8d89901df1453697d59fcdbafbcab3", "value": "added_tokens.json: 100%" } }, "8223cb73c0b34a12b172c3f769aba980": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "82a7003e991245019a0a48bbb0699221": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1e9c506b215c4c8e81b67e3bade5d8d7", "placeholder": "​", "style": "IPY_MODEL_de1c6ba5b893494eb5d6ae641e52e468", "value": "tokenizer.json: 100%" } }, "83b019853b6b4394b2d025c45543c442": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "8ac42f698e1c4555873630145b7e5fae": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "8fc431678b2542a1b6ea60fd6318165f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "91c8f60f61cd47799edf882f670588a9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e8ad020d89f842dc9dd81b50f615c3df", "max": 4865, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_5b6b9cffe96f4e9299da47f7fa82ef19", "value": 4865 } }, "97aec4251c004876934669db70a14ffd": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9fb1907fd1ec4eed8d9b02946e03a552": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_085313146e8b4a86aa59f655be770d5b", "placeholder": "​", "style": "IPY_MODEL_55ab91a1e2a04f57b7e101f97ef96fcf", "value": " 290/0 [00:00<00:00, 2137.50 examples/s]" } }, "a13698bb5352429facc7acbbd870e86e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "a2f9afc06df24a9c9c5de7c538930f45": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_97aec4251c004876934669db70a14ffd", "placeholder": "​", "style": "IPY_MODEL_1a42449fe07946ed8dedb7bd65936a35", "value": " 616/616 [00:00<00:00, 46.4kB/s]" } }, "a3a4eb6b28184bef88dd6da5250ea71b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_42c80f66a03b4bf889c2f86573cb8d8c", "IPY_MODEL_e055c79cc4584e47a161eb36fdb3a935", "IPY_MODEL_34ba31c626e8412ebd318f3b4adcb59f" ], "layout": "IPY_MODEL_490d6a0602dc44dea0839d9d8eb29445" } }, "a6cae26b6d4d4230afb9a7be7969fce9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "a6f4b596e3d540fd8594c64bfdea0781": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_82a7003e991245019a0a48bbb0699221", "IPY_MODEL_5e8e55da3e8a411cbf46212c634cfcff", "IPY_MODEL_c3057e3319454104a1c1ead91aafd2b7" ], "layout": "IPY_MODEL_c573e78dc866484bafd1421e39eb9a29" } }, "aa281ccc7244493ab5915f9fcc6a05f0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "ae705acbf2b9471ba7f4f3da6467bf89": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ae732c07c8874ce5840bc2c2ffacea7e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "b11f580aaf6a47b5b00b36a57f785f76": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b15a226cc63d491aa888e975e564be57": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b1fa56689f12437bb5b87e254111fb46": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b4186433b73f493fa008522642e29b54": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b4909ac1f55841bfa8fadcdd406988f7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_550d2ba6f8ce4c6f92e9898eaf0fd104", "IPY_MODEL_ca083e75197848fcb7677d83da9fafc0", "IPY_MODEL_0a6553e5a2cc4e1cbe44eef3424269fc" ], "layout": "IPY_MODEL_0ad931d125eb4537b62018cced82a9c1" } }, "b4d601e32639459baca44042c9eb54df": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1f097a158dd4432e883bf23255bce24d", "placeholder": "​", "style": "IPY_MODEL_0401ec0090cf49898de2416fd71ae94c", "value": "Map (num_proc=2): 100%" } }, "b67f5863259d4e2e9ce890b43b57a657": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": "20px" } }, "ba8022247f914de9bbea92f1a7fc2d0d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "bb8d89901df1453697d59fcdbafbcab3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "bb94734629da4d12986e9f358e57ff76": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1960b4e0dd7c41b49e0192ca970da36d", "placeholder": "​", "style": "IPY_MODEL_19170a9389b146e6851c2185d6bad041", "value": " 290/290 [00:01<00:00, 273.75 examples/s]" } }, "c07b4003587646da84b3f0bfee914414": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "c3057e3319454104a1c1ead91aafd2b7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_3b91e6db7b344d71b96e3d42015bee8e", "placeholder": "​", "style": "IPY_MODEL_f5595fa727a1419895f692174c7b4b1f", "value": " 7.03M/7.03M [00:00<00:00, 17.1MB/s]" } }, "c573e78dc866484bafd1421e39eb9a29": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "c673346cc09d42f68c72eb20a836c389": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ca083e75197848fcb7677d83da9fafc0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1e886c642507432c9681f9050dd75131", "max": 167, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_1bea5ba86a094a52bc40ee06756a5ff6", "value": 167 } }, "cf739214298b4eac93e1baf891b67652": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "cf9963e868184b139be4277c1db18f87": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "cff88f6edfda44eeb7f8de7c8f932e1b": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d3ecabad1ed143d6aac9f8ad6fcb6315": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018aed4e64a44308a9bb21279d0538c2", "max": 290, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_dfc024593b2647e886740a886c2d6ef6", "value": 290 } }, "d64e4fa0340f4cf3be054dcb6150fb56": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "dba47e477a5a4a8b8a1fccc1271a3e25": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_cf9963e868184b139be4277c1db18f87", "placeholder": "​", "style": "IPY_MODEL_e5523145b5d847e285c9da0d113cbdac", "value": "model.safetensors: 100%" } }, "dd500467439945948edca97cc0f68bf1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "de1c6ba5b893494eb5d6ae641e52e468": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "dfc024593b2647e886740a886c2d6ef6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "dfff65ae58204ca0975cb70dbabb9c61": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e055c79cc4584e47a161eb36fdb3a935": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f366bfd4370646969019c014c2f41271", "max": 1671853, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_a6cae26b6d4d4230afb9a7be7969fce9", "value": 1671853 } }, "e0da6bb808034422b9c91ba039f28feb": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e1d28d430d584a2184cf9738d950e649": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e3336f3d2d544fe99c854f2f9305cf75": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "e34515dfbff04309a9b374c63da8b750": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e4aa2bf364f04dc7b3407141355f88f1": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e5523145b5d847e285c9da0d113cbdac": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "e8ad020d89f842dc9dd81b50f615c3df": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e96c45247d8f42c5ab08f8f842438497": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_cff88f6edfda44eeb7f8de7c8f932e1b", "placeholder": "​", "style": "IPY_MODEL_8ac42f698e1c4555873630145b7e5fae", "value": " 290/290 [00:00<00:00, 7852.22 examples/s]" } }, "ea8988a5c1ed4be1932dbbceadfc35bd": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f040392a1a944849a33186f94b2661b7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b15a226cc63d491aa888e975e564be57", "max": 632, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_02468f6e89db41ed9b14e2683a600278", "value": 632 } }, "f366bfd4370646969019c014c2f41271": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f40104c96ce24be18c669ee1393df515": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_7bc0a19504c544d0b60d682cddb8f7dc", "IPY_MODEL_f040392a1a944849a33186f94b2661b7", "IPY_MODEL_19d56661827e4b3abeb0c63fb66f0b0b" ], "layout": "IPY_MODEL_4d9abd67f36249d8bff10616a4e2f254" } }, "f5595fa727a1419895f692174c7b4b1f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "f55aad6510524f04bf0131838cb35b93": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f5b55d439c9b40daaf347e895825ac4e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_13a7c267205a4e5daa9e062c117916a9", "IPY_MODEL_ffcd4099e85b4191a0f20cfeba9b715c", "IPY_MODEL_e96c45247d8f42c5ab08f8f842438497" ], "layout": "IPY_MODEL_b1fa56689f12437bb5b87e254111fb46" } }, "f661b3b49bb54a5f928f87fd59d539d2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_b4d601e32639459baca44042c9eb54df", "IPY_MODEL_d3ecabad1ed143d6aac9f8ad6fcb6315", "IPY_MODEL_bb94734629da4d12986e9f358e57ff76" ], "layout": "IPY_MODEL_dfff65ae58204ca0975cb70dbabb9c61" } }, "fe90119ee12a4beca6e6b9668fcd74c3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "danger", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_5ea5fb032dde44abb7f7562354c1635c", "max": 5547254637, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_d64e4fa0340f4cf3be054dcb6150fb56", "value": 5547254108 } }, "ffcd4099e85b4191a0f20cfeba9b715c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_08bd957c1a144a43938159dddcd7fee3", "max": 290, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_26b70217fb8445cb922432a22b417e66", "value": 290 } } } } }, "nbformat": 4, "nbformat_minor": 0 }