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Configure task subsets and image viewer

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  1. README.md +94 -7
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  ---
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  license: other
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  # Latency-Sensitive Bench datasets
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  Accepted zero-latency teacher rollouts for the supported benchmark tasks.
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- ## Layout
 
 
 
 
 
 
 
 
 
 
 
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- - `zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/raw`: 275 successful source NPZ episodes.
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- - `zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/lerobot`, `lerobot__val`, and `mikasa_intercept_grab_fast_h1.json`: fixed 250/25 StarVLA split and mixture.
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- - `zero-latency/humanoidbench-balance-simple/teacher-rollouts-v1/lerobot` and `lerobot__val`: fixed 90/10 official GR00T split, including videos and metadata.
 
 
 
 
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- Extreme Parkour and HAIC datasets are intentionally not published until their current VLA pipelines pass their documented gates.
 
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- Historical source repositories remain unchanged: MIKASA dataset revision `28312021c634fa97f8068077dfd6eb0efe6d45ce` and Balance dataset revision `dbb954842942196e127c9acc0d776b62aa679990`.
 
 
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- See the repository artifact registry for exact task contracts and reproduction commands.
 
 
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  ---
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  license: other
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+ task_categories:
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+ - robotics
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+ tags:
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+ - LeRobot
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+ - image
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+ - video
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+ configs:
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+ - config_name: humanoidbench_balance_simple
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+ default: true
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+ data_files:
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+ - split: train
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+ path: zero-latency/humanoidbench-balance-simple/teacher-rollouts-v1/lerobot/data/chunk-*/*.parquet
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+ - split: validation
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+ path: zero-latency/humanoidbench-balance-simple/teacher-rollouts-v1/lerobot__val/data/chunk-*/*.parquet
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+ - config_name: mikasa_intercept_grab_fast
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+ data_files:
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+ - split: train
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+ path: zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/lerobot/data/chunk-*/*.parquet
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+ - split: validation
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+ path: zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/lerobot__val/data/chunk-*/*.parquet
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+ dataset_info:
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+ - config_name: humanoidbench_balance_simple
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+ features:
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+ - name: observation.image
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+ dtype: image
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+ - name: observation.state
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+ list: float32
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+ length: 198
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+ - name: action
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+ list: float32
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+ length: 43
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+ - name: timestamp
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+ dtype: float64
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+ - name: episode_index
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+ dtype: int64
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+ - name: frame_index
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+ dtype: int64
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+ - name: task_index
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+ dtype: int64
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+ - name: latency
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+ dtype: int64
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+ - name: latency_raw_frames
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+ dtype: int64
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+ - name: done
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+ dtype: bool
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+ - name: reward
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+ dtype: float32
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+ - name: density_weight
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+ dtype: float32
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+ - config_name: mikasa_intercept_grab_fast
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+ features:
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+ - name: observation.state
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+ list: float32
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+ length: 7
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+ - name: action
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+ list: float32
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+ length: 7
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+ - name: timestamp
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+ dtype: float32
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+ - name: frame_index
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+ dtype: int64
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+ - name: episode_index
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+ dtype: int64
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+ - name: index
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+ dtype: int64
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+ - name: task_index
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+ dtype: int64
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  ---
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+
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  # Latency-Sensitive Bench datasets
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  Accepted zero-latency teacher rollouts for the supported benchmark tasks.
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+ ## Viewer subsets
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+
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+ - `humanoidbench_balance_simple`: 90 training and 10 validation episodes. The
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+ `observation.image` values are PNG bytes declared as the Hugging Face `Image`
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+ feature, so the Dataset Viewer renders them instead of showing their encoded
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+ representation. Canonical LeRobot MP4 files remain under each split's
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+ `videos/` directory.
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+ - `mikasa_intercept_grab_fast`: fixed 250/25 StarVLA split. RGB observations
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+ are stored in the LeRobot MP4 files and are not duplicated in its Parquet
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+ rows.
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+
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+ ## Repository layout
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+ - `zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/raw`: 275
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+ successful source NPZ episodes.
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+ - `zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-v1/lerobot`,
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+ `lerobot__val`, and `mikasa_intercept_grab_fast_h1.json`: converted dataset
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+ and StarVLA mixture.
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+ - `zero-latency/humanoidbench-balance-simple/teacher-rollouts-v1/lerobot` and
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+ `lerobot__val`: official GR00T split, videos, and metadata.
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+ Extreme Parkour and HAIC datasets are intentionally not published until their
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+ current VLA pipelines pass their documented gates.
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+ Historical source repositories remain unchanged: MIKASA dataset revision
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+ `28312021c634fa97f8068077dfd6eb0efe6d45ce` and Balance dataset revision
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+ `dbb954842942196e127c9acc0d776b62aa679990`.
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+ See the repository [artifact registry](https://github.com/ZihanWang314/latency-sensitive-bench/blob/master/docs/artifacts.md)
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+ for exact task contracts and reproduction commands.