> ## Documentation Index
> Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Camel.datasets.few shot generator

<a id="camel.datasets.few_shot_generator" />

<a id="camel.datasets.few_shot_generator.FewShotGenerator" />

## FewShotGenerator

```python theme={"system"}
class FewShotGenerator(BaseGenerator):
```

A generator for creating synthetic datapoints using few-shot learning.

This class leverages a seed dataset, an agent, and a verifier to generate
new synthetic datapoints on demand through few-shot prompting.

<a id="camel.datasets.few_shot_generator.FewShotGenerator.__init__" />

### **init**

```python theme={"system"}
def __init__(
    self,
    seed_dataset: StaticDataset,
    verifier: BaseVerifier,
    model: BaseModelBackend,
    seed: int = 42,
    **kwargs
):
```

Initialize the few-shot generator.

**Parameters:**

* **seed\_dataset** (StaticDataset): Validated static dataset to use for examples.
* **verifier** (BaseVerifier): Verifier to validate generated content.
* **model** (BaseModelBackend): The underlying LLM that the generating agent will be initiated with.
* **seed** (int): Random seed for reproducibility. (default: :obj:`42`) \*\*kwargs: Additional generator parameters. (default: 42)

<a id="camel.datasets.few_shot_generator.FewShotGenerator._validate_seed_dataset" />

### \_validate\_seed\_dataset

```python theme={"system"}
def _validate_seed_dataset(self):
```

<a id="camel.datasets.few_shot_generator.FewShotGenerator._construct_prompt" />

### \_construct\_prompt

```python theme={"system"}
def _construct_prompt(self, examples: List[DataPoint]):
```

Construct a prompt for generating new datapoints
using a fixed sample of examples from the seed dataset.

**Parameters:**

* **examples** (List\[DataPoint]): Examples to include in the prompt.

**Returns:**

str: Formatted prompt with examples.