Duplicate from aicrowd/ChessExplained

Co-authored-by: AIcrowd SA <aicrowd@users.noreply.huggingface.co>

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ChessExplained_SFT_v0/README.md

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+# ChessExplained_500k_v0 Dataset
+
+## Overview
+This dataset contains approximately 500,000 chess positions with explanations for optimal moves, prepared for Supervised Fine-Tuning (SFT). The data is tokenized using **Qwen/Qwen3-8B** tokenizer.
+
+## Format
+- **File**: JSONL format (one JSON object per line)
+- **Fields**:
+  - `text`: Full conversation in Qwen chat format with special tokens
+  - `fen`: Position in FEN notation
+  - `move`: Best move in UCI notation
+  - `explanation`: Natural language explanation for the move
+
+## Explanation Generation Process
+
+Each explanation is generated through the following pipeline:
+
+1. **Position Analysis**: Extract current position features from the FEN
+2. **Best Move Calculation**: Determine optimal move using Stockfish engine
+3. **Move Application**: Apply the move and extract new position features
+4. **Position Evaluation**: Use Stockfish evaluation to classify the position:
+   - Winning (|eval| > 2)
+   - Drawish (|eval| ≤ 2)
+5. **Feature Extraction**: Identify key tactical/strategic elements by comparing position features:
+   - Attacking new pieces
+   - Escaping attacks
+   - Forced checkmates
+   - Captures
+   - Pawn promotions
+   - Checks
+   - Center control
+   - Pins
+   - King safety improvements
+   - Rooks on 7th rank
+
+## Explanation Template
+
+Explanations are generated by comparing position features before and after the best move. The system detects tactical/strategic changes and constructs natural language explanations.
+
+**Standard format:**
+```
+After {piece} {action} {square}, this causes {color} to {reason(s)}. 
+So {move_SAN} is the most logical. {evaluation}.
+```
+
+**Detected features include:**
+- Checkmate delivery
+- Castling (kingside/queenside)
+- Giving check
+- Captures
+- Pawn promotions
+- Escaping attacks
+- Attacking new pieces
+- Gaining center control
+- Creating pins
+- Placing rook on 7th/2nd rank
+
+**Fallback:** When no specific tactical features are detected, the explanation describes piece development (early game) or repositioning (mid/late game).
+
+## Example Entry
+
+```json
+{
+  "text": "<|im_start|>user\nYou are an expert chess player...",
+  "fen": "rnbq1rk1/ppp1bpp1/4pn1p/3p4/2PP4/2N1PN2/PP1B1PPP/R2QKB1R b KQ - 0 7",
+  "move": "c7c5",
+  "explanation": "After Pawn moves to c5, this causes Black to attacks the pawn on d4. So c5 is the most logical. Position is drawish."
+}
+```
+
+```
+<|im_start|>user
+You are an expert chess player looking at the following position in FEN format:
+r3kb1N/pp2p2p/n5p1/2p5/2BP2q1/7b/PPP2P2/R1BQK3 b q - 3 16
+Briefly, FEN describes chess pieces by single letters [PNBRKQ] for white and [pnbrkq] for black. The pieces found in each rank are specified, starting at the top of the board (a8..h8) and describing all eight ranks. Within each rank, all 8 positions must be specified, with one or more empty squares noted with a digit [1..8]. For example, /8/ is an empty rank (no pieces), while /4P3/ specifies four empty squares, a white pawn, and three more empty squares.
+
+Here is an additional visualization of the board (♔♕♖♗♘♙ = White pieces, ♚♛♜♝♞♟ = Black pieces):
+
+   a b c d e f g h  
+  +---------------+
+8 | ♜  ·  ·  ·  ♚  ♝  ·  ♘ | 8
+7 | ♟  ♟  ·  ·  ♟  ·  ·  ♟ | 7
+6 | ♞  ·  ·  ·  ·  ·  ♟  · | 6
+5 | ·  ·  ♟  ·  ·  ·  ·  · | 5
+4 | ·  ·  ♗  ♙  ·  ·  ♛  · | 4
+3 | ·  ·  ·  ·  ·  ·  ·  ♝ | 3
+2 | ♙  ♙  ♙  ·  ·  ♙  ·  · | 2
+1 | ♖  ·  ♗  ♕  ♔  ·  ·  · | 1
+  +---------------+
+   a b c d e f g h  
+
+The current side to move is black.
+The possible legal moves for the side to move are: ['f8g7', 'f8h6', 'e8d8', 'e8d7', 'a8d8', 'a8c8', 'a8b8', 'a6b8', 'a6c7', 'a6b4', 'g4c8', 'g4d7', 'g4e6', 'g4h5', 'g4g5', 'g4f5', 'g4h4', 'g4f4', 'g4e4', 'g4d4', 'g4g3', 'g4f3', 'g4g2', 'g4e2', 'g4g1', 'g4d1', 'h3g2', 'h3f1', 'e8c8', 'c5d4', 'h7h6', 'e7e6', 'b7b6', 'g6g5', 'h7h5', 'e7e5', 'b7b5'].
+
+Your task is to select the best move for the side to move. Please choose a move from this list, and output it in the following format:
+<uci_move>one_move_from_the_list</uci_move>.
+An example of a valid move for this position is <uci_move>f8g7</uci_move>.
+Think about the move and output it in the following format:
+<think>your_thinking</think>
+<uci_move>one_move_from_the_list</uci_move>.
+<|im_end|>
+<|im_start|>assistant
+<think>
+After Queen moves to g1, this causes Black to give check, moves away from attack, attacks the pawn on f2, creates a pin. So Qg1+ is the most logical. Black has a huge advantage.
+</think>
+
+<uci_move>g4g1</uci_move><|im_end|>
+```

README.md

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+---
+license: mit
+tags:
+- chess
+task_categories:
+- reinforcement-learning
+---
+# ChessExplained_500k_v0 Dataset
+
+## Overview
+This dataset contains approximately 500,000 chess positions with explanations for optimal moves, prepared for Supervised Fine-Tuning (SFT). The data is tokenized using **Qwen/Qwen3-8B** tokenizer.
+
+## Format
+- **File**: JSONL format (one JSON object per line)
+- **Fields**:
+  - `text`: Full conversation in Qwen chat format with special tokens
+  - `fen`: Position in FEN notation
+  - `move`: Best move in UCI notation
+  - `explanation`: Natural language explanation for the move
+
+## Explanation Generation Process
+
+Each explanation is generated through the following pipeline:
+
+1. **Position Analysis**: Extract current position features from the FEN
+2. **Best Move Calculation**: Determine optimal move using Stockfish engine
+3. **Move Application**: Apply the move and extract new position features
+4. **Position Evaluation**: Use Stockfish evaluation to classify the position:
+   - Winning (|eval| > 2)
+   - Drawish (|eval| ≤ 2)
+5. **Feature Extraction**: Identify key tactical/strategic elements by comparing position features:
+   - Attacking new pieces
+   - Escaping attacks
+   - Forced checkmates
+   - Captures
+   - Pawn promotions
+   - Checks
+   - Center control
+   - Pins
+   - King safety improvements
+   - Rooks on 7th rank
+
+## Explanation Template
+
+Explanations are generated by comparing position features before and after the best move. The system detects tactical/strategic changes and constructs natural language explanations.
+
+**Standard format:**
+```
+After {piece} {action} {square}, this causes {color} to {reason(s)}. 
+So {move_SAN} is the most logical. {evaluation}.
+```
+
+**Detected features include:**
+- Checkmate delivery
+- Castling (kingside/queenside)
+- Giving check
+- Captures
+- Pawn promotions
+- Escaping attacks
+- Attacking new pieces
+- Gaining center control
+- Creating pins
+- Placing rook on 7th/2nd rank
+
+**Fallback:** When no specific tactical features are detected, the explanation describes piece development (early game) or repositioning (mid/late game).
+
+## Example Entry
+
+```json
+{
+  "text": "<|im_start|>user\nYou are an expert chess player...",
+  "fen": "rnbq1rk1/ppp1bpp1/4pn1p/3p4/2PP4/2N1PN2/PP1B1PPP/R2QKB1R b KQ - 0 7",
+  "move": "c7c5",
+  "explanation": "After Pawn moves to c5, this causes Black to attacks the pawn on d4. So c5 is the most logical. Position is drawish."
+}
+```
+
+```
+<|im_start|>user
+You are an expert chess player looking at the following position in FEN format:
+r3kb1N/pp2p2p/n5p1/2p5/2BP2q1/7b/PPP2P2/R1BQK3 b q - 3 16
+Briefly, FEN describes chess pieces by single letters [PNBRKQ] for white and [pnbrkq] for black. The pieces found in each rank are specified, starting at the top of the board (a8..h8) and describing all eight ranks. Within each rank, all 8 positions must be specified, with one or more empty squares noted with a digit [1..8]. For example, /8/ is an empty rank (no pieces), while /4P3/ specifies four empty squares, a white pawn, and three more empty squares.
+
+Here is an additional visualization of the board (♔♕♖♗♘♙ = White pieces, ♚♛♜♝♞♟ = Black pieces):
+
+   a b c d e f g h  
+  +---------------+
+8 | ♜  ·  ·  ·  ♚  ♝  ·  ♘ | 8
+7 | ♟  ♟  ·  ·  ♟  ·  ·  ♟ | 7
+6 | ♞  ·  ·  ·  ·  ·  ♟  · | 6
+5 | ·  ·  ♟  ·  ·  ·  ·  · | 5
+4 | ·  ·  ♗  ♙  ·  ·  ♛  · | 4
+3 | ·  ·  ·  ·  ·  ·  ·  ♝ | 3
+2 | ♙  ♙  ♙  ·  ·  ♙  ·  · | 2
+1 | ♖  ·  ♗  ♕  ♔  ·  ·  · | 1
+  +---------------+
+   a b c d e f g h  
+
+The current side to move is black.
+The possible legal moves for the side to move are: ['f8g7', 'f8h6', 'e8d8', 'e8d7', 'a8d8', 'a8c8', 'a8b8', 'a6b8', 'a6c7', 'a6b4', 'g4c8', 'g4d7', 'g4e6', 'g4h5', 'g4g5', 'g4f5', 'g4h4', 'g4f4', 'g4e4', 'g4d4', 'g4g3', 'g4f3', 'g4g2', 'g4e2', 'g4g1', 'g4d1', 'h3g2', 'h3f1', 'e8c8', 'c5d4', 'h7h6', 'e7e6', 'b7b6', 'g6g5', 'h7h5', 'e7e5', 'b7b5'].
+
+Your task is to select the best move for the side to move. Please choose a move from this list, and output it in the following format:
+<uci_move>one_move_from_the_list</uci_move>.
+An example of a valid move for this position is <uci_move>f8g7</uci_move>.
+Think about the move and output it in the following format:
+<think>your_thinking</think>
+<uci_move>one_move_from_the_list</uci_move>.
+<|im_end|>
+<|im_start|>assistant
+<think>
+After Queen moves to g1, this causes Black to give check, moves away from attack, attacks the pawn on f2, creates a pin. So Qg1+ is the most logical. Black has a huge advantage.
+</think>
+
+<uci_move>g4g1</uci_move><|im_end|>
+```