confidences.npy listlengths 15 840 | intrinsic.npy listlengths 3 3 | json dict | mp4 video | transforms.npy listlengths 15 840 | txt stringclasses 40
values | __key__ stringlengths 21 21 | __url__ stringclasses 5
values |
|---|---|---|---|---|---|---|---|
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[[0.0,1.0,1.0,0.8248651027679443,0.9780960083007812,0.9208217263221741,0.8946827054023743,0.89362913(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.9920687079429626,0.9880298376083374,0.8705578446388245,0.8378246426582336,0.85686850(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.9532450437545776,0.988781213760376,0.8885646462440491,0.8579680323600769,0.877593755(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.9916300773620605,0.9872637391090393,0.9010601043701172,0.8721922039985657,0.89109170(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.875751256942749,0.9604236483573914,0.8910185694694519,0.8480828404426575,0.865282535(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.8089426755905151,0.985075056552887,0.8126574158668518,0.6676010489463806,0.860863983(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.8930365443229675,0.9457221031188965,0.8900213241577148,0.8621888756752014,0.86100351(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.9930700659751892,0.9852790832519531,0.8753811717033386,0.8501007556915283,0.85240739(...TRUNCATED) | [
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[[0.0,1.0,1.0,0.9637345671653748,0.9864667654037476,0.8890336751937866,0.8552985191345215,0.87742757(...TRUNCATED) | [
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End of preview. Expand in Data Studio
from datasets import load_dataset, Features, Value, Sequence, Video, Array2D, Array4D
EGODEX_DOF = 69
features = Features({
"__key__": Value("string"),
"__url__": Value("string"),
"confidences.npy": Array2D(shape=(None, EGODEX_DOF), dtype="float32"),
"intrinsic.npy": Array2D(shape=(3, 3), dtype="float32"),
"json": {
"episode_id": Value("int64"),
"has_confidences": Value("bool"),
"joint_names": Sequence(Value("string")),
"llm_description": Value("string"),
"llm_description2": Value("string"),
"num_frames": Value("int64"),
"num_joints": Value("int64"),
"original_resolution": Sequence(Value("int64")),
"target_resolution": Sequence(Value("int64")),
"task": Value("string"),
"which_llm_description": Value("int64"),
},
"mp4": Video(),
"transforms.npy": Array4D(
shape=(None, EGODEX_DOF, 4, 4),
dtype="float32"
),
"txt": Value("string"),
})
dataset = load_dataset("yxgao/egodex-wds", streaming=True, features=features)
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