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README.md

@@ -1,59 +1,18 @@
 ---
 license: cc0-1.0
 language:
-- en
+  - en
 tags:
-- chess
-- pgn
-- puzzles
-- tactics
-pretty_name: Chess Puzzles from Lichess with PGN Context
+  - chess
+  - pgn
+  - puzzles
+  - tactics
+pretty_name: Chess Puzzles with PGN Context
 size_categories:
-- 1K<n<10K
-dataset_info:
-  features:
-  - name: puzzle_id
-    dtype: string
-  - name: game_id
-    dtype: string
-  - name: rating
-    dtype: int32
-  - name: themes
-    sequence: string
-  - name: pgn_context
-    dtype: string
-  - name: fen
-    dtype: string
-  - name: best_move_uci
-    dtype: string
-  - name: best_move_san
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1672201.6
-    num_examples: 4000
-  - name: validation
-    num_bytes: 209025.2
-    num_examples: 500
-  - name: test
-    num_bytes: 209025.2
-    num_examples: 500
-  download_size: 1179666
-  dataset_size: 2090252.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+  - 1K<n<10K
 ---
 
-# Lichess Puzzles with PGN Context
-
-**Note**: _This is a work in progress dataset..._
+# Chess Puzzles with PGN Context
 
 Tactical chess puzzles drawn from the [Lichess Open Puzzle Database](https://database.lichess.org/#puzzles),
 augmented with full PGN game context reconstructed from the source Lichess games.
@@ -64,23 +23,23 @@ with the engine-validated best move as the label.
 
 ## Dataset Summary
 
-- **416 puzzles** with reconstructed PGN context
-- Rating range: 1201–1900 (mean: 1552)
-- Themes: `middlegame`, `short`, `advantage`, `crushing`, `long`, `mate`, `fork`, `master` (middlegame only; opening/endgame excluded)
+- **5,000 puzzles** with reconstructed PGN context
+- Rating range: 1200–1900 (mean: 1540)
+- Themes: `middlegame`, `short`, `advantage`, `crushing`, `long`, `mate`, `fork`, `kingsideAttack` (middlegame only; opening/endgame excluded)
 - Splits: 80% train / 10% validation / 10% test
 
 ## Schema
 
-| Column          | Type         | Description                                         |
-| --------------- | ------------ | --------------------------------------------------- |
-| `puzzle_id`     | string       | Lichess puzzle ID                                   |
-| `game_id`       | string       | Lichess game ID (source of PGN context)             |
-| `rating`        | int32        | Puzzle difficulty (Lichess Glicko-2 rating)         |
-| `themes`        | list[string] | Tactical theme tags (e.g. `fork`, `pin`, `skewer`)  |
-| `pgn_context`   | string       | PGN move text up to (not including) the puzzle move |
-| `fen`           | string       | Board position at start of puzzle in FEN notation   |
-| `best_move_uci` | string       | Correct first move in UCI notation                  |
-| `best_move_san` | string       | Correct first move in SAN notation                  |
+| Column | Type | Description |
+|---|---|---|
+| `puzzle_id` | string | Lichess puzzle ID |
+| `game_id` | string | Lichess game ID (source of PGN context) |
+| `rating` | int32 | Puzzle difficulty (Lichess Glicko-2 rating) |
+| `themes` | list[string] | Tactical theme tags (e.g. `fork`, `pin`, `skewer`) |
+| `pgn_context` | string | PGN move text up to (not including) the puzzle move |
+| `fen` | string | Board position at start of puzzle in FEN notation |
+| `best_move_uci` | string | Correct first move in UCI notation |
+| `best_move_san` | string | Correct first move in SAN notation |
 
 ## Usage
 
@@ -99,7 +58,6 @@ ds = load_dataset("InterwebAlchemy/chess-puzzles-pgn")
 ## How PGN context is reconstructed
 
 For each Lichess puzzle:
-
 1. The source game PGN is fetched from `lichess.org/api/game/<id>`
 2. The game is replayed move by move until the board FEN matches the puzzle FEN
 3. The move-text up to that point is stored as `pgn_context`

test/data-00000-of-00001.arrow

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-size 18344
+oid sha256:81b2f0b9295645a8f907797b5dbdf23d92db48d7a90f4afa99fdd9a06b9d5305
+size 207656

test/state.json

@@ -4,7 +4,7 @@
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     }
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train/data-00000-of-00001.arrow

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+size 1677600

train/state.json

@@ -4,7 +4,7 @@
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     }
   ],
-  "_fingerprint": "588b2e528fd83ddd",
+  "_fingerprint": "e231c3d00995592e",
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validation/data-00000-of-00001.arrow

@@ -1,3 +1,3 @@
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-size 18040
+oid sha256:05194e435e305bf4361b832953dfea24cbaaf733c9d7487bd0a787febb4259b3
+size 212456

validation/state.json

@@ -4,7 +4,7 @@
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     }
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