board-game
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.