---
language: en
license: mit
task_categories:
- text-generation
- question-answering
tags:
- chess
- evaluation
- prediction
---

# Chess Position Evaluation Dataset

This dataset contains chess positions in FEN format along with their Stockfish evaluations. It is formatted in the Alpaca instruction-following format.

## Dataset Structure

Each example contains:
- instruction: A prompt to evaluate the chess position
- input: The FEN string representing the chess position
- output: The evaluation score in pawn units (positive values favor White, negative values favor Black)

## Example

```json
{
    "instruction": "Evaluate the following chess position in FEN format.",
    "input": "rnbqkbnr/pppppppp/8/8/4P3/8/PPPP1PPP/RNBQKBNR b KQkq - 0 1",
    "output": "0.52"
}
```

## Intended Use

This dataset can be used to train models to evaluate chess positions. The evaluation scores are in pawn units, where:
- Positive values indicate an advantage for White
- Negative values indicate an advantage for Black
- Values closer to 0 indicate a more balanced position