| --- |
| license: mit |
| pretty_name: Hexo Human Corpus (encoding-free) |
| task_categories: |
| - other |
| tags: |
| - hex |
| - hex-tac-toe |
| - board-games |
| - game-records |
| - reinforcement-learning |
| - alphazero |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Hexo Human Corpus |
|
|
| Encoding-free corpus of **6,902** decisive human *Hex Tac Toe* games — hexagonal |
| grid, six-in-a-row to win (player 1 opens with 1 move, then both players play 2 |
| moves per turn; the board is theoretically infinite). |
|
|
| Each line is one game as a **raw axial move list + outcome**. Nothing about any |
| neural-network encoding is baked in — no planes, no fixed board size, no action |
| space. Read it with the stdlib `json` module and build whatever representation |
| you want. |
|
|
| ## Files |
|
|
| | file | description | |
| |------|-------------| |
| | `hexo_human_corpus.jsonl` | the corpus — one game per line | |
| | `SCHEMA.md` | full per-line schema + conventions | |
| | `dataset_metadata.json` | provenance: counts, sha256, source filter | |
|
|
| ## Schema |
|
|
| One JSON object per line: |
|
|
| ```json |
| {"game_hash":"0f8c6bdfc55e7f6f","moves":[[0,0],[2,-2],[-3,3]],"winner":1,"source":"human","elo":[898,955]} |
| ``` |
|
|
| | field | type | meaning | |
| |-------|------|---------| |
| | `game_hash` | string (16 hex) | SHA-256 of the move sequence — stable content/dedup key | |
| | `moves` | array of `[x, y]` | axial hex coords `(x,y)=(q,r)`, in play order | |
| | `winner` | `1` or `-1` | `1` = first player (X) wins, `-1` = second player (O) | |
| | `source` | string | `"human"` | |
| | `elo` | `[int\|null, int\|null]` | `[elo_p1, elo_p2]` | |
|
|
| **Conventions** |
|
|
| - Axial hex coordinates `(x, y)`; the board is infinite so values can be |
| negative. The first player's forced opener is always `(0, 0)`. |
| - Replay `moves` in order to reconstruct any board state. |
| - Only decisive (six-in-a-row) games are included — there are **no draws**. |
|
|
| ## Usage |
|
|
| ```python |
| import json |
| |
| games = [json.loads(line) for line in open("hexo_human_corpus.jsonl")] |
| print(len(games), "games") # 6902 |
| g = games[0] |
| print(g["moves"], g["winner"]) # [[0,0], [2,-2], ...] 1 |
| ``` |
|
|
| ## Provenance |
|
|
| Rated human games filtered to: rated, ≥20 moves, decisive by six-in-a-row. |
| Per-game `elo` is each player's rating at game time. Games are anonymised |
| (player ids dropped; only relative Elo retained). See `dataset_metadata.json` |
| for the exact sha256 and counts. |
|
|
| License: MIT. |
|
|
