CoolFace
Datasetpublic

latency-sensitive-bench/benchmark-datasets

Latency-Sensitive Bench datasets Accepted zero-latency teacher rollouts for the supported benchmark tasks. Viewer subsets humanoidbench_balance_simple: 90 training and 10 validation episodes. The observation.image values are PNG bytes declared as the Hugging Face Image feature, so the Dataset Viewer renders them instead of showing their encoded representation. Canonical LeRobot MP4 files remain under each split's videos/ directory. mikasa_intercept_grab_fast:… See the full description on the dataset page: https://huggingface.co/datasets/latency-sensitive-bench/benchmark-datasets.

sourceHugging Faceotherupdated 2d agoView on Hugging Face
0likes2.9kdownloads
Dataset Card

Latency-Sensitive Bench datasets

Accepted zero-latency teacher rollouts for the supported benchmark tasks.

Viewer subsets

  • humanoidbench_balance_simple: 90 training and 10 validation episodes. The observation.image values are PNG bytes declared as the Hugging Face Image feature, so the Dataset Viewer renders them instead of showing their encoded representation. Canonical LeRobot MP4 files remain under each split's videos/ directory.
  • mikasa_intercept_grab_fast: fixed 250/25 StarVLA split. Every Viewer row includes its corresponding observation.images.top and observation.images.wrist frame. The canonical LeRobot data remains under the task path with its RGB observations stored in MP4 files.

Repository layout

  • zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/raw: 275 successful source NPZ episodes.
  • zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/lerobot, lerobot__val, and mikasa_intercept_grab_fast_h1.json: converted dataset and StarVLA mixture.
  • viewer/mikasa-intercept-grab-fast: browser-oriented Parquet with the same transitions and decoded top/wrist frames.
  • zero-latency/humanoidbench-balance-simple/teacher-rollouts-v1/lerobot and lerobot__val: official GR00T split, videos, and metadata.

Extreme Parkour and HAIC datasets are intentionally not published until their current VLA pipelines pass their documented gates.

Historical source repositories remain unchanged: MIKASA dataset revision 28312021c634fa97f8068077dfd6eb0efe6d45ce and Balance dataset revision dbb954842942196e127c9acc0d776b62aa679990.

See the repository artifact registry for exact task contracts and reproduction commands.

latency-sensitive-bench/benchmark-datasets · CoolFace