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Datasets:
velvet-pine-22
/
PULSE

Tasks:
Time Series Forecasting
Video Classification
Other
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10M - 100M
Tags:
multi-modal
human-activity-recognition
motion-capture
emg
eye-tracking
imu
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
PULSE
File size: 3,116 Bytes
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{
  "segments": [
    {
      "timestamp": "00:00:02-00:00:04",
      "action_annotation": {
        "action_name": "open",
        "hand_type": "both",
        "is_lhand": 1,
        "is_rhand": 1,
        "text_key": "Open tablecloth with both hands.",
        "text_variants": [
          "Open tablecloth with both hands.",
          "Opening tablecloth with both hands.",
          "Both hands open tablecloth.",
          "Tablecloth is opened with both hands."
        ],
        "object_name": "tablecloth"
      }
    },
    {
      "timestamp": "00:00:04-00:00:06",
      "action_annotation": {
        "action_name": "adjust",
        "hand_type": "both",
        "is_lhand": 1,
        "is_rhand": 1,
        "text_key": "Adjust tablecloth with both hands.",
        "text_variants": [
          "Adjust tablecloth with both hands.",
          "Adjusting tablecloth with both hands.",
          "Both hands adjust tablecloth.",
          "Tablecloth is adjusted with both hands."
        ],
        "object_name": "tablecloth"
      }
    },
    {
      "timestamp": "00:00:06-00:00:08",
      "action_annotation": {
        "action_name": "pull",
        "hand_type": "both",
        "is_lhand": 1,
        "is_rhand": 1,
        "text_key": "Pull tablecloth with both hands.",
        "text_variants": [
          "Pull tablecloth with both hands.",
          "Pulling tablecloth with both hands.",
          "Both hands pull tablecloth.",
          "Tablecloth is pulled with both hands."
        ],
        "object_name": "tablecloth"
      }
    },
    {
      "timestamp": "00:00:09-00:00:11",
      "action_annotation": {
        "action_name": "open",
        "hand_type": "both",
        "is_lhand": 1,
        "is_rhand": 1,
        "text_key": "Open tablecloth with both hands.",
        "text_variants": [
          "Open tablecloth with both hands.",
          "Opening tablecloth with both hands.",
          "Both hands open tablecloth.",
          "Tablecloth is opened with both hands."
        ],
        "object_name": "tablecloth"
      }
    },
    {
      "timestamp": "00:00:11-00:00:14",
      "action_annotation": {
        "action_name": "move",
        "hand_type": "both",
        "is_lhand": 1,
        "is_rhand": 1,
        "text_key": "Move tablecloth with both hands.",
        "text_variants": [
          "Move tablecloth with both hands.",
          "Moving tablecloth with both hands.",
          "Both hands move tablecloth.",
          "Tablecloth is moved with both hands."
        ],
        "object_name": "tablecloth"
      }
    },
    {
      "timestamp": "00:00:14-00:00:16",
      "action_annotation": {
        "action_name": "adjust",
        "hand_type": "both",
        "is_lhand": 1,
        "is_rhand": 1,
        "text_key": "Adjust tablecloth with both hands.",
        "text_variants": [
          "Adjust tablecloth with both hands.",
          "Adjusting tablecloth with both hands.",
          "Both hands adjust tablecloth.",
          "Tablecloth is adjusted with both hands."
        ],
        "object_name": "tablecloth"
      }
    }
  ]
}