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sequence | observation.state
sequence | timestamp
float32 0
26.5
| frame_index
int64 0
796
| episode_index
int64 0
10
| index
int64 0
5.1k
| task_index
int64 0
0
|
|---|---|---|---|---|---|---|
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199.599609375,
134.208984375,
140.625,
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[
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198.984375,
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198.984375,
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[
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148.359375,
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[
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120.234375,
148.7109375,
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[
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[
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112.587890625,
186.943359375,
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148.798828125,
139.130859375,
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[
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[
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[
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147.65625,
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[
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147.65625,
140.625,
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[
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148.798828125,
139.04296875,
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[
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181.318359375,
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[
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113.90625,
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[
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114.609375,
181.93359375,
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[
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114.2578125,
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148.798828125,
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[
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[
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125.947265625,
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[
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[
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148.798828125,
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[
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128.14453125,
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[
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127.96875,
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[
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139.74609375,
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[
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114.345703125,
183.1640625,
128.056640625,
148.53515625,
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[
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148.53515625,
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[
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128.14453125,
148.7109375,
136.23046875,
149.0625,
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[
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185.80078125,
128.232421875,
148.88671875,
137.98828125,
147.48046875,
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[
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114.9609375,
183.955078125,
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149.0625,
135.263671875,
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[
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128.3203125,
148.974609375,
137.197265625,
148.271484375,
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] | 3.3 | 99 | 0 | 99 | 0 |
End of preview. Expand
in Data Studio
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.1",
"robot_type": "robopanoptes",
"total_episodes": 1,
"total_frames": 275,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
"features": {
"action": {
"dtype": "float32",
"shape": [
8
],
"names": [
"main_module1",
"main_module2",
"main_module3",
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}
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