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bad_numeric_regime_frames
int64
state_abs_max
float64
action_abs_max
float64
state_gripper_minmax
dict
action_gripper_minmax
dict
total_episodes
int64
total_frames
int64
data_rows
int64
episode_rows
int64
episode_index_minmax
list
index_minmax
list
parquet_codecs
dict
video_counts
dict
features
list
numeric_pre_validation
dict
ffprobe_first_last
dict
stats_counts
dict
0
2.7533
2.7533
{ "left": [ 0.019558314234018326, 1.0016696453094482 ], "right": [ 0.0282974261790514, 1.001954197883606 ] }
{ "left": [ 0.003770739072933793, 1.0016696453094482 ], "right": [ 0.003051106119528413, 1.001954197883606 ] }
217
369,240
369,240
217
[ 0, 216 ]
[ 0, 369239 ]
{ "data/chunk-000/file-000.parquet": [ "SNAPPY" ], "meta/episodes/chunk-000/file-000.parquet": [ "SNAPPY" ], "meta/tasks.parquet": [ "SNAPPY" ] }
{ "observation.images.head": 217, "observation.images.wrist_left": 217, "observation.images.wrist_right": 217 }
[ "observation.state", "action", "timestamp", "frame_index", "episode_index", "index", "task_index", "observation.images.head", "observation.images.wrist_left", "observation.images.wrist_right" ]
{ "bad_numeric_regime_frames": 0, "state_abs_max": 2.7532997131347656, "action_abs_max": 2.7532997131347656, "state_gripper_minmax": { "left": [ 0.019558314234018326, 1.0016696453094482 ], "right": [ 0.0282974261790514, 1.001954197883606 ] }, "action_gripper_minmax": ...
{ "episode_0/observation.images.head": { "programs": [], "streams": [ { "codec_name": "h264", "width": 640, "height": 360, "pix_fmt": "yuv420p", "r_frame_rate": "30/1" } ] }, "episode_0/observation.images.wrist_left": { "programs": [], "strea...
{ "observation.state": 369240, "action": 369240, "timestamp": 369240, "frame_index": 369240, "episode_index": 369240, "index": 369240, "task_index": 369240 }

YAM Pour Combined

Combined direct-format YAM pouring dataset built from:

  • nuffnuff/yam-pour-v5-direct-format-v3@3fb689646b15ef2fb1dbbc514e2fc8945e7389db as episodes 0..149
  • nuffnuff/yam-pour-direct@449519654a22716a68555a27fcc5b5638e9c14ee as episodes 150..216

The dataset uses the same format as nuffnuff/yam-pour-direct: LeRobot v3, 30 fps, 640x360 H.264 videos, native YAM radians for arm joints, normalized 0..1 grippers, and the same 14D state/action names.

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Models trained or fine-tuned on nuffnuff/yam-pour-combined