Duplicate from timmyburn/hexo-bootstrap-corpus
Browse filesCo-authored-by: T <timmyburn@users.noreply.huggingface.co>
- .gitattributes +60 -0
- README.md +77 -0
- SCHEMA.md +37 -0
- dataset_metadata.json +20 -0
- hexo_human_corpus.jsonl +0 -0
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README.md
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---
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license: mit
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pretty_name: Hexo Human Corpus (encoding-free)
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task_categories:
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- other
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tags:
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- hex
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- hex-tac-toe
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- board-games
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- game-records
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- reinforcement-learning
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- alphazero
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size_categories:
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- 1K<n<10K
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---
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# Hexo Human Corpus
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Encoding-free corpus of **6,902** decisive human *Hex Tac Toe* games — hexagonal
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grid, six-in-a-row to win (player 1 opens with 1 move, then both players play 2
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moves per turn; the board is theoretically infinite).
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Each line is one game as a **raw axial move list + outcome**. Nothing about any
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neural-network encoding is baked in — no planes, no fixed board size, no action
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space. Read it with the stdlib `json` module and build whatever representation
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you want.
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## Files
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| file | description |
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|------|-------------|
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| `hexo_human_corpus.jsonl` | the corpus — one game per line |
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| `SCHEMA.md` | full per-line schema + conventions |
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| `dataset_metadata.json` | provenance: counts, sha256, source filter |
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## Schema
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One JSON object per line:
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```json
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{"game_hash":"0f8c6bdfc55e7f6f","moves":[[0,0],[2,-2],[-3,3]],"winner":1,"source":"human","elo":[898,955]}
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```
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| field | type | meaning |
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|-------|------|---------|
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| `game_hash` | string (16 hex) | SHA-256 of the move sequence — stable content/dedup key |
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| `moves` | array of `[x, y]` | axial hex coords `(x,y)=(q,r)`, in play order |
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| `winner` | `1` or `-1` | `1` = first player (X) wins, `-1` = second player (O) |
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| `source` | string | `"human"` |
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| `elo` | `[int\|null, int\|null]` | `[elo_p1, elo_p2]` |
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**Conventions**
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- Axial hex coordinates `(x, y)`; the board is infinite so values can be
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negative. The first player's forced opener is always `(0, 0)`.
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- Replay `moves` in order to reconstruct any board state.
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- Only decisive (six-in-a-row) games are included — there are **no draws**.
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## Usage
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```python
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import json
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games = [json.loads(line) for line in open("hexo_human_corpus.jsonl")]
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print(len(games), "games") # 6902
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g = games[0]
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print(g["moves"], g["winner"]) # [[0,0], [2,-2], ...] 1
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```
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## Provenance
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Rated human games filtered to: rated, ≥20 moves, decisive by six-in-a-row.
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Per-game `elo` is each player's rating at game time. Games are anonymised
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(player ids dropped; only relative Elo retained). See `dataset_metadata.json`
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for the exact sha256 and counts.
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License: MIT.
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SCHEMA.md
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# Hexo human corpus — JSONL schema
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Encoding-free export of scraped Hex Tac Toe human games. One JSON object per
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line, readable with the stdlib `json` module — no numpy, no game engine, no
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encoding dependency.
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## Per-line object
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| field | type | meaning |
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|-------------|-----------------|---------|
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| `game_hash` | string (16 hex) | SHA-256 of the move sequence; dedup key, stable across sources |
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| `moves` | array of `[x,y]` | axial hex coords, in play order |
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| `winner` | `1` or `-1` | `1` = first player (X) wins, `-1` = second player (O) |
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| `source` | string | always `"human"` for this dataset |
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| `elo` | `[int or null, int or null]` | `[elo_p1, elo_p2]`; absent when exported with `--no-meta` |
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`game_hash` is the canonical content hash used across the corpus pipeline, so
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the same game scraped twice — or appearing in another source — collapses to one
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key. Exact duplicates are dropped on export (`n_duplicates_dropped` in
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`dataset_metadata.json`).
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## Conventions
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- **Coordinate system:** axial hex `(x, y) == (q, r)`. The board is
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theoretically infinite; coordinates can be negative. The first player's
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forced opening move is always `(0, 0)`.
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- **Move order:** `moves[0]` is the first player's opener, then players
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alternate per the game's turn structure (P1 opens with 1 move, then both
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sides play 2 moves per turn). Reconstruct board state by replaying in order.
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- **Winner:** engine convention — `1` = first mover (X), `-1` = second (O).
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Only decisive (six-in-a-row) games are included; there are no draws.
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## Provenance
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- games: **6902**
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- sha256 (`hexo_human_corpus.jsonl`): `54fae7aebcef2a9d19d13c1946fae36c0565e21bc726c25e2e4e230cfb42a5b7`
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- source filter: rated, >=20 moves, decisive by six-in-a-row
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dataset_metadata.json
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{
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"name": "hexo-human-corpus",
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"schema_version": 1,
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"format": "jsonl",
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"encoding": "none \u2014 raw axial move lists, encoding-agnostic",
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"n_games": 6902,
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"n_duplicates_dropped": 0,
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"dedup_key": "game_hash (16-hex SHA-256 of move sequence)",
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"winner_convention": "1 = first player (X) wins, -1 = second player (O) wins",
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"coordinate_system": "axial hex (x,y)=(q,r); theoretically infinite board; first player's forced opener is always (0,0)",
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"source_filter": "rated, >=20 moves, decisive by six-in-a-row",
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"includes_metadata": true,
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"input_dirs": [
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"/home/timmy/Work/hexo_rl/data/corpus/raw_human"
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],
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"file": "hexo_human_corpus.jsonl",
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"bytes": 3696030,
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"sha256": "54fae7aebcef2a9d19d13c1946fae36c0565e21bc726c25e2e4e230cfb42a5b7",
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"created_at": "2026-06-04T14:27:03.599846+00:00"
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}
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hexo_human_corpus.jsonl
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