datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Boardgame-QAhttps://arxiv.org/pdf/2306.07934.pdf
boardgamebench-answer-only
BoardGameBench Answer-Only Reasoning Dataset
This dataset contains 1,282,766 board-game reasoning examples generated from BoardGameBench, a benchmark and data-generation project for evaluating language models on structured board-game decision making.
Each row asks a model to inspect a legal board position and return the best move. The format is intentionally simple:
id,prompt,answer
The answer field is the target move label, such as C4, f6, 11,7, or e2-d3. This makes the dataset… See the full description on the dataset page: https://huggingface.co/datasets/homerquan/boardgamebench-answer-only.boardgamebench-answer-sft
BoardGameBench Answer SFT Dataset
This dataset contains 1,282,766 answer-only board-game reasoning examples generated from BoardGameBench, a benchmark and data-generation project for evaluating language models on structured board-game decision making.
This is the supervised fine-tuning corpus used before the later DPO and GRPO stages for the nemotron-boardgame-answer-lora-b4-safe-final adapter.
Each row asks a model to inspect a legal board position and return the best move. The… See the full description on the dataset page: https://huggingface.co/datasets/homerquan/boardgamebench-answer-sft.boardgamegeek-scraper
BoardGameGeek Scraper · Games, Ratings, Designers & Mechanics
Scrape board games, release years, player counts, categories, mechanics, designers, artists, and publishers from BoardGameGeek. HTTP only, pay-per-event pricing.
Rows in this dataset
437
Fields
21
Collector runs behind it
50
Most recent observation
2026-08-03
What this is
Every row here was returned by a real run of a public collector. Nothing is generated from a
template over a… See the full description on the dataset page: https://huggingface.co/datasets/reapxdev/boardgamegeek-scraper.board_games
Board Game Datasets
This directory contains board-game position datasets, produced for generating verified Q&A
about (1) interpreting a board position given its standard notation, and (2) advising a good
next move. Each game lives in its own self-contained project (own extract.py,
pyproject.toml, .venv) and produces one JSON file. Ground truth (legal moves, best move,
evaluation) always comes from a real rules library / game engine — never guessed by an LLM.
This is the… See the full description on the dataset page: https://huggingface.co/datasets/nlp-and-reasoning/board_games.BoardgameQA-Hard
BoardgameQA-Hard
This dataset contains a curated train/test split of BoardgameQA, used in our paper Enhancing Language Model Reasoning with Structured Multi-Level Modeling (ICLR 2026). Each example asks whether a target fact can be proved, disproved, or is undetermined given a set of facts, defeasible rules, and rule preferences.
Files
train.jsonl — 37,000 examples
test.jsonl — 500 examples
test.jsonl is a fixed "hard" evaluation set drawn in equal parts (100… See the full description on the dataset page: https://huggingface.co/datasets/sxiong/BoardgameQA-Hard.BoardgameQA-trajectory
BoardGameQA Trajectory Dataset
Model-generated solution trajectories for BoardGameQA, a natural-language deductive reasoning benchmark built from board-game-style rule sets with conflicting/preferential rules. Each question asks whether a goal statement is yes (proved), no (disproved), or unknown. Each row is one model response to a single problem, including the hidden chain-of-thought (when available) and the final response.
Dataset Summary
Split
Rows… See the full description on the dataset page: https://huggingface.co/datasets/sxiong/BoardgameQA-trajectory.Boardgame-QAboard_game_analysischess_game_blue_boardThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100-blue",
"total_episodes": 1,
"total_frames": 368,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Chojins/chess_game_blue_board.boardgamebench-answer-grpo
BoardGameBench Answer GRPO Dataset
This dataset contains 10,000 BoardGameBench prompt/reward examples generated for GRPO-style reinforcement learning on board-game move selection.
The final nemotron-boardgame-answer-lora-b4-safe-final adapter used this reviewed GRPO corpus after SFT and DPO. For that final pilot run, training used the first 512 examples from grpo_train.jsonl; the full 10k reviewed set is published here for reproducibility and follow-up training.
Format… See the full description on the dataset page: https://huggingface.co/datasets/homerquan/boardgamebench-answer-grpo.part4-put_away_set_up_board_gameThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "hand",
"total_episodes": 559,
"total_frames": 228143,
"total_tasks": 4,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:559"
},
"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/gsethia08/part4-put_away_set_up_board_game.Board_gamesboardgamebench-answer-dpo
BoardGameBench Answer DPO Dataset
This dataset contains the reviewed preference examples used for the DPO stage of the nemotron-boardgame-answer-lora-b4-safe-final adapter.
It is a compact pilot set of 10 BoardGameBench preference rows. Each row presents the same board-game decision prompt with a preferred answer and a plausible rejected answer. The preferred answer is selected from engine-guided move comparisons and includes the exact move label.
Format
The main… See the full description on the dataset page: https://huggingface.co/datasets/homerquan/boardgamebench-answer-dpo.hw1-text-ds-boardgames
Dataset Card: [Boardgames-text]
Purpose
This dataset was created for educational purposes as part of a homework assignment.It is intended to practice building, augmenting, and publishing datasets on the Hugging Face Hub.
Composition
Number of samples:
Original: N samples
Augmented: M samples
Features:
[list features/columns here, e.g. CarModel, Year, Mileage... or text, complexity_label... or image, has_groot]
Collection
Source:
Text (Board… See the full description on the dataset page: https://huggingface.co/datasets/FaiyazAzam/hw1-text-ds-boardgames.autotrain-data-boardgame-rulebook-qaboardgame_rules_qa_dataset_ruboardgameboardgame-bgg-engineered