datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ChessInstruct
ChessInstruct
The ChessInstruct Dataset serves as the foundation for training and fine-tuning Language Models (LLMs) specifically in the realm of chess instruction.
Derived from the laion/strategic_game_chess dataset, this meticulously curated dataset encompasses a wide array of annotated instructional chess content.
Features of the ChessInstruct Dataset:
Rich and Diverse Content: Curated with a broad spectrum of instructional resources including annotated games, strategic analyses… See the full description on the dataset page: https://huggingface.co/datasets/Thytu/ChessInstruct.chess_datasets
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/p11-p11/chess_datasets.chess_checkmate_in_one_big_bench
Dataset Card for BIG-Bench Checkmate In One Move
This is an adapted version of the BIG-Bench Checkmate in One Move task originally made by Nitish Keskar (nkeskar@salesforce.com).
There also exists a dataset with the image representation of the board positions before the checkmate move.
The original task description is the following:
The goal of this task is to probe the ability of language models to play chess in standard algebraic notation (SAN). The input to the model is a… See the full description on the dataset page: https://huggingface.co/datasets/alonsosilva/chess_checkmate_in_one_big_bench.Chess_openings_dataset
Version 1 of the dataset
Structure of the dataset:
Opening_type:
The title of the opening being played.
Context:
A string representing a list of moves, each move is represented by the previous state of the board, the move that is going to be made, and the effect that the move had on the board.
The board is represented as an 8*8 grid of characters where each character represents a piece or an empty square:
r . . q k b n r
p p p . p . p p
. . n .… See the full description on the dataset page: https://huggingface.co/datasets/nelson2424/Chess_openings_dataset.chess_puzzle_training_datasets_lt-2400
Chess puzzle training datasets: rating below 2400
This is a filtered derivative of
pavelslab-nyu/chess_puzzle_training_datasets.
Every retained row satisfies the exact condition:
Rating < 2400
Rating is the Lichess puzzle rating, not the Elo of either player in the
source game. The original column names, column order, directory layout, and CSV
schemas are preserved. As in the upstream repository, Hugging Face discovers
all three CSVs as one default configuration with one train… See the full description on the dataset page: https://huggingface.co/datasets/violetxi/chess_puzzle_training_datasets_lt-2400.ChessInstruct
ChessInstruct
The ChessInstruct Dataset serves as the foundation for training and fine-tuning Language Models (LLMs) specifically in the realm of chess instruction.
Derived from the laion/strategic_game_chess dataset, this meticulously curated dataset encompasses a wide array of annotated instructional chess content.
Features of the ChessInstruct Dataset:
Rich and Diverse Content: Curated with a broad spectrum of instructional resources including annotated games, strategic analyses… See the full description on the dataset page: https://huggingface.co/datasets/EnzoDeg40/ChessInstruct.ChessCOT
ChessCOT
The dataset that makes your chess model think like a human before it plays a move.
About
ChessCOT is a dataset designed to train transformers for chess using a Chain of Thought (CoT) approach. The goal is to make the model reason about the position with all possible moves and their consequences in order to predict the best move.
Dataset Statistics
Total Poistions: 4,491,596
Sequence length of sMoves: 128
Sequence length of thought: 128… See the full description on the dataset page: https://huggingface.co/datasets/frosthead/ChessCOT.Chess_openings_dataset
Version 1 of the dataset
Structure of the dataset:
Opening_type:
The title of the opening being played.
Context:
A string representing a list of moves, each move is represented by the previous state of the board, the move that is going to be made, and the effect that the move had on the board.
The board is represented as an 8*8 grid of characters where each character represents a piece or an empty square:
r . . q k b n r
p p p . p . p p
. . n .… See the full description on the dataset page: https://huggingface.co/datasets/coryvegan/Chess_openings_dataset.