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Datasets:
diffracting
/
egocentric-maintenance-sample

Modalities:
Tabular
Text
Video
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
video
egocentric
human-demonstration
robotics
physical-ai
maintenance
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
egocentric-maintenance-sample
File size: 2,726 Bytes
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{
  "status": "passed",
  "scope": "Full video decode, displayed PTS, frame identity tables, missing modalities, segment bounds, embedded preview schema and all checksums. No annotation accuracy or model training evaluation.",
  "episodes": [
    {
      "capture_id": "remove-tape",
      "decoded_frames": 870,
      "timestamp_rows": 870,
      "random_access_indices": [
        0,
        217,
        435,
        652,
        869
      ],
      "metric_channels_absent": true
    },
    {
      "capture_id": "brush-front-grille",
      "decoded_frames": 899,
      "timestamp_rows": 899,
      "random_access_indices": [
        0,
        224,
        449,
        674,
        898
      ],
      "metric_channels_absent": true
    },
    {
      "capture_id": "brush-housing",
      "decoded_frames": 900,
      "timestamp_rows": 900,
      "random_access_indices": [
        0,
        225,
        450,
        675,
        899
      ],
      "metric_channels_absent": true
    },
    {
      "capture_id": "brush-panel-channels",
      "decoded_frames": 900,
      "timestamp_rows": 900,
      "random_access_indices": [
        0,
        225,
        450,
        675,
        899
      ],
      "metric_channels_absent": true
    },
    {
      "capture_id": "wipe-panel",
      "decoded_frames": 900,
      "timestamp_rows": 900,
      "random_access_indices": [
        0,
        225,
        450,
        675,
        899
      ],
      "metric_channels_absent": true
    },
    {
      "capture_id": "wipe-panel-corners",
      "decoded_frames": 839,
      "timestamp_rows": 839,
      "random_access_indices": [
        0,
        209,
        419,
        629,
        838
      ],
      "metric_channels_absent": true
    }
  ],
  "verified_artifact_hashes": 81,
  "action_segments": 13,
  "huggingface_video_rows": 6,
  "total_decoded_frames": 5308,
  "consumer_environment": {
    "python": "3.11.15",
    "processing_stack_importable": false,
    "numpy": "2.4.6",
    "polars": "1.44.1",
    "opencv-python": "4.14.0.94",
    "pyarrow": "25.0.1",
    "datasets": "5.0.1"
  },
  "huggingface_library_roundtrip": {
    "rows": 6,
    "video_feature": true,
    "embedded_preview_bytes": true
  },
  "pipeline_tests": {
    "passed": 512,
    "skipped": 3,
    "deselected": 2,
    "duration_s": 151.15
  },
  "existing_rgbd_reader_smoke": {
    "episodes": 3,
    "passed": true
  },
  "checksum_scope_note": "The initial validation verified 81 pre-report artifacts. The final checksums include this report; publication verifies every final local artifact against remote file metadata."
}