VeraIsHere/sokoban_processed
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… See the full description on the dataset page: https://huggingface.co/datasets/VeraIsHere/sokoban_processed.
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) andtest.parquet(1,602 rows); corresponding PNGs live inimages/. - 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 asground_truthaction indices andstyle.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 insideimages/.
Example loading snippet:
import pandas as pd
df = pd.read_parquet("train.parquet")
sample = df.iloc[0]
image_bytes = sample["images"][0].split(",")[1].encode()