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Dataset

WIYH

by Tars Robotics hf-dataset--tars-robotics--wiyh
Free2AITools Nexus Index
58.9 Top 100%
S: Semantic 50
A: Authority 61
P: Popularity 50
R: Recency 91
Q: Quality 50
Tech Context
Vital Performance
0 DL / 30D
0.0%
Data Integrity 58.9 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--tars-robotics--wiyh
License CC-BY-NC-4.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset__tars_robotics__wiyh,
  author = {Tars Robotics},
  title = {WIYH Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/tars-robotics/WIYH}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Tars Robotics. (2026). WIYH [Dataset]. Free2AITools. https://huggingface.co/datasets/tars-robotics/WIYH

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

âš–ī¸ Free2AITools Nexus Index V2.0

Semantic (S) 50
Authority (A) 61
Popularity (P) 50
Recency (R) 91
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for WIYH: Semantic (S:50), Authority (A:61), Popularity (P:50), Recency (R:91), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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Downloads
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Schema structure is shown in the Field Logic panel when available.

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Schema not yet indexed for this dataset.

Dataset Specification

WorldCode Exported JSON Field Specification

The following specification is based on the actual outputs produced by the export script, as well as the example file worldcode_HS-2-1420125020208_2025-10-21-14-50-09_3_s0_vlta_reorg_sample_1-2.json.

Top-level Fields

Field Description
worldcode_name Name of the current sample, typically also the filename of the exported JSON.
dataset_path Absolute path to the original worldcode directory.
task_description Description of the task.
status Overall status of the current worldcode, e.g., success.
subtasks List of subtasks describing key action intervals.
num_frames Total number of frames.
camera_calibration Calibration parameters for each camera.
frames Per-frame data.
_validation_warnings Optional field; appears only when missing files are detected during validation.

`subtasks`

Each subtask contains:

Field Description
subtask_index Subtask number.
subtask_description Description of the subtask.
status Status of the subtask.
timestamp_range Timestamp range corresponding to the subtask.
frame_index_range Frame index range corresponding to the subtask.

`camera_calibration`

Organized by camera name, for example lf_chest_fisheye, ldr_hand_fisheye.

Each camera contains:

Field Description
intrinsic 3x3 camera intrinsic matrix.
distortion Distortion parameters.
width Image width.
height Image height.
camera_model Camera model, e.g., fisheye.

`frames`

Each frame contains:

Field Description
frame_index Frame index.
timestamp Timestamp of the current frame.
images Relative paths to images from each camera.
wrist_poses Placeholder zero poses for the left and right end-effectors.
chest_poses Poses of the left and right end-effectors in the current frame's chest coordinate system.
ego_poses Pose of each camera relative to its own frame 0.
chest_0_poses Pose of each camera in the chest coordinate system.
hand_states Hand pose data; only populated when end_effector_type == "hand".

Pose Fields

`wrist_poses`

  • Meaning: Zero poses of left_eef and right_eef.
  • Values: position: [0, 0, 0], quaternion: [0, 0, 0, 1].
  • Physical meaning: Placeholder field representing the zero pose of the robotic arm end-effector (wrist).

`chest_poses`

  • Meaning: Pose of left_eef and right_eef relative to the chest frame at the current timestep.
  • Computation: chest_inv @ eef_pose_in_chest.
  • Reference frame: Current frame's chest.
  • Physical meaning: Pose of the robotic arm end-effector in the current local chest coordinate system.

`ego_poses`

  • Meaning: Pose of each camera relative to its own frame 0.
  • Computation: base_inv @ curr_pose.
  • Reference frame: Each camera's own frame 0.
  • Physical meaning: Self-motion trajectory of the camera.

`chest_0_poses`

  • Meaning: Pose of each camera in the chest frame at frame 0.
  • Computation: Read directly from pose_in_chest in the HDF5 file.
  • Reference frame: chest.
  • Physical meaning: Transform of the camera relative to the chest.

Additional Field Notes

`images`

  • Keys are camera names, values are relative paths to images.
  • Paths are relative to the current worldcode root directory, e.g., camera/lf_chest_fisheye/xxx.jpg.

`hand_states`

  • Used when end_effector_type == "hand".
  • Contains left_hand and right_hand.
  • Each value is the hand state vector for the current frame, taken directly from the data path specified in the configuration.

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Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--tars-robotics--wiyh
slug
tars-robotics--wiyh
source
huggingface
author
Tars Robotics
license
CC-BY-NC-4.0
tags
task_categories:robotics, language:en, license:cc-by-nc-4.0, size_categories:n>1t, region:us, robotic manipulation, ego-centric, world model, vision-language-action model

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
30,922
stars
0
forks
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Data indexed from public sources. Updated daily.