| --- |
| license: mit |
| task_categories: |
| - reinforcement-learning |
| pretty_name: pan-2 VPT (64px episodes + packed shards) |
| size_categories: |
| - 100GB<n<1TB |
| tags: |
| - minecraft |
| - vpt |
| - openai |
| - numpy |
| --- |
| |
| # pan-2 VPT |
|
|
| Cleaned OpenAI VPT contractor demos, packed for [Infatoshi/pan-2](https://github.com/Infatoshi/pan-2). |
|
|
| This is **not** a re-dump of the original VPT Azure blobs, and it is **not** the same layout as `zhwang4ai/OpenAI-Minecraft-Contractor` (jsonl-only), `p-doom/openai-minecraft-dataset` (Grain/ArrayRecord tars), or `TESS-Computer/minecraft-vla-stage1` (parquet JPEGs at 640x360 / 5 Hz). |
|
|
| | | | |
| |---|---| |
| | Episodes | 1625 validated stems (27 dropped) | |
| | Frames | 8,155,382 (~113.3 h at 20 Hz) | |
| | Image | `uint8 [T, 64, 64, 3]` | |
| | Actions | `float32 [T, 25]` (23 buttons + camera dx/dy in `[-1, 1]`) | |
| | Raw video | H.264 640x360 @ 20 fps, sibling jsonl | |
|
|
| ## Layout |
|
|
| ``` |
| raw/<stem>.mp4 |
| raw/<stem>.jsonl # original VPT per-tick action dicts |
| episodes/<stem>.img.npy # (T, 64, 64, 3) uint8 |
| episodes/<stem>.act.npy # (T, 25) float32 |
| shards/manifest.jsonl |
| shards/shard-XXXXX.frames.npy |
| shards/shard-XXXXX.act.npy |
| meta/README.md |
| meta/cleanup_summary.json |
| meta/episodes_manifest.jsonl |
| ``` |
|
|
| Episodes never straddle shards. `manifest.jsonl` starts with a header: |
|
|
| ```json |
| {"type":"header","version":1,"image_size":64,"act_dim":25,"n_shards":24,"total_frames":8155382,"total_episodes":1625} |
| ``` |
|
|
| then one `segment` row per episode (`shard`, `stem`, `offset`, `n_frames`, `has_act`). |
|
|
| ## Load shards |
|
|
| ```python |
| import json |
| from pathlib import Path |
| import numpy as np |
| |
| root = Path("shards") |
| header = json.loads(root.joinpath("manifest.jsonl").read_text().splitlines()[0]) |
| frames = np.load(root / "shard-00000.frames.npy", mmap_mode="r") # (N, 64, 64, 3) uint8 |
| acts = np.load(root / "shard-00000.act.npy", mmap_mode="r") # (N, 25) float32 |
| ``` |
|
|
| Rebuild shards from episodes with the pan-2 repo: |
|
|
| ```bash |
| uv run python scripts/build_shards.py --source episodes --episodes-dir episodes --out shards |
| ``` |
|
|
| ## Source |
|
|
| OpenAI Video PreTraining contractor data (Baker et al., 2022). Original index/blobs: `https://openaipublic.blob.core.windows.net/`. Some origin mp4s 404; this tree is the surviving cleaned 1625-stem subset used for pan-2. |
|
|
| Action columns: see `src/pan2/actions.py` in the code repo. |
|
|
| ## License |
|
|
| MIT, same as the upstream VPT contractor release. Cite OpenAI VPT if you use this. |
|
|
