chess board
100M_random_chess_boards
100M Random Chess Boards
This dataset contains 100 million randomly sampled chess board positions. The process to generate each board state is as follows:
Game Simulation
100 million games were played, with each move being randomly determined until the game ended (i.e., until checkmate, stalemate, or draw).
Board Sampling
From each game, a single random board state was selected at some point in the game.
Columns other than fen represent statistics for the sample. Most boards… See the full description on the dataset page: https://huggingface.co/datasets/lapp0/100M_random_chess_boards.chess-board-to-fen
Chess Image To FEN Dataset
1M rows (80/20 train test split)
perfect split between opening, middle game and late game (33% of each)
Random variations applied to image (7 themes, board rotation and coordinates)
on_board_chess_playThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 132,
"total_frames": 16969,
"total_tasks": 3,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:132"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Zobser/on_board_chess_play.chessboard-dataset-yolo
Chessboard Corner Pose Dataset ♟️📐
1. Dataset Description
This dataset is designed for Keypoint Detection (Pose Estimation) tasks, specifically to detect the 4 semantic corners of a chessboard from various camera angles.
It is intended to be used as Phase 1 of a Chess Move Tracking pipeline. The detected keypoints are used to calculate the Homography matrix for Perspective Warping (straightening the board).
Task: Keypoint Detection (YOLO-Pose)
Format: YOLOv8 / YOLO11… See the full description on the dataset page: https://huggingface.co/datasets/surawut/chessboard-dataset-yolo.50M_chess_boardson_board_chess_play_vla_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 110,
"total_frames": 17686,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:110"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Zobser/on_board_chess_play_vla_v1.