datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.boardgame_rules_qa_dataset_ru