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README.md

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+---
+pretty_name: Sokoban Processed
+language:
+- en
+tags:
+- sokoban
+- puzzle
+- reinforcement-learning
+task_categories:
+- reinforcement-learning
+license: other
+---
+
+# Sokoban Processed Dataset
+
+This folder contains a processed version of the Sokoban dataset derived from https://huggingface.co/datasets/Xiaofeng77/sokoban. The data is packaged for fast local loading and visual inspection.
+
+- Files: `train.parquet` (3,982 rows) and `test.parquet` (1,602 rows); corresponding PNGs live in `images/`.
+- Columns:
+  - `data_source`: Source split/config from the original Hugging Face dataset (e.g., `sokoban_6x6_1horizon`).
+  - `prompt`: Chat-style, multi-turn prompt used to elicit a Sokoban solution.
+  - `ability`: Heuristic/solver used when creating the sample (e.g., `bfs`).
+  - `reward_model`: Small dict with evaluation info such as `ground_truth` action indices and `style`.
+  - `extra_info`: Environment metadata (grid size, initial grid layout, box/player start positions, max steps, render mode).
+  - `id`: Unique example identifier.
+  - `images`: Array with a single base64-encoded PNG string for the board rendering.
+  - `image_path`: Absolute path to the saved PNG inside `images/`.
+
+Example loading snippet:
+```python
+import pandas as pd
+
+df = pd.read_parquet("train.parquet")
+sample = df.iloc[0]
+image_bytes = sample["images"][0].split(",")[1].encode()
+```