Datasetpublic

Winniechen2002/TexasPokerRobot

TexasPokerRobot TexasPokerRobot is a robot manipulation dataset collected in a Texas poker tabletop environment. The raw episodes are stored as compressed NumPy .npz files, organized by action folder. This release adds a Hugging Face-compatible manifest at data/train.csv so the dataset has a standard loadable split and a working Dataset Viewer while preserving the original raw episode files. Dataset Summary 1,470 raw episode files 14 action folders, with 105… See the full description on the dataset page: https://huggingface.co/datasets/Winniechen2002/TexasPokerRobot.

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Dataset Card

TexasPokerRobot

TexasPokerRobot is a robot manipulation dataset collected in a Texas poker tabletop environment. The raw episodes are stored as compressed NumPy .npz files, organized by action folder. This release adds a Hugging Face-compatible manifest at data/train.csv so the dataset has a standard loadable split and a working Dataset Viewer while preserving the original raw episode files.

Dataset Summary

—1,470 raw episode files
—14 action folders, with 105 episodes per action
—377.94 GB of raw .npz episode data
—RGB observations from three cameras, depth observations from three cameras, and robot joint state streams
—License: CC BY 4.0

Actions

Action	Episodes	Raw size
`pick_up_left`	105	40.19 GB
`pick_up_right`	105	29.63 GB
`pull_5`	105	29.69 GB
`pull_10`	105	29.00 GB
`pull_50`	105	31.83 GB
`pull_100`	105	31.17 GB
`push_5`	105	28.44 GB
`push_10`	105	33.60 GB
`push_50`	105	35.04 GB
`push_100`	105	31.10 GB
`put_down_left`	105	18.23 GB
`put_down_right`	105	14.59 GB
`show_left`	105	13.23 GB
`show_right`	105	12.19 GB

Manifest Fields

The train split is a manifest. Each row points to one raw episode file.

Column	Description
`action`	Action folder name.
`episode_index`	Episode number within the action folder.
`file_path`	Path to the raw `.npz` file in this dataset repository.
`file_name`	Raw episode filename.
`format`	Raw file format, currently `npz`.
`size_bytes`	Size of the raw episode file.
`sha256`	LFS SHA-256 checksum for the raw episode file.
`download_url`	Direct Hub URL for the raw episode file.
`modalities`	Modalities present in the raw episode.
`num_rgb_cameras`	Number of RGB camera streams.
`num_depth_cameras`	Number of depth camera streams.

Loading

Load the manifest with the datasets library:

python

from datasets import load_dataset

ds = load_dataset("Winniechen2002/TexasPokerRobot")
row = ds["train"][0]
print(row["action"], row["file_path"])

Download and inspect a raw episode:

python

import numpy as np
from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="Winniechen2002/TexasPokerRobot",
    filename=row["file_path"],
    repo_type="dataset",
)

episode = np.load(path, allow_pickle=True)
print(episode.files)

Some robot state arrays are stored as NumPy object arrays, so loading a raw episode requires allow_pickle=True. Only use this option with dataset files you trust.

Intended Uses

This dataset is intended for robot learning research, imitation learning, action-conditioned perception, manipulation policy development, and analysis of tabletop robot trajectories.

Limitations

The Dataset Viewer previews the manifest rows, not the full RGB, depth, and joint-state tensors. The raw episode files are large, and no official train/validation/test benchmark split is provided beyond the manifest split.