Publish validated items_handover_aug_r001: 5 trajectories
Browse files- items_handover_aug_r001/README.md +7 -0
- items_handover_aug_r001/data/chunk-000/episode_000000.parquet +3 -0
- items_handover_aug_r001/data/chunk-000/episode_000001.parquet +3 -0
- items_handover_aug_r001/data/chunk-000/episode_000002.parquet +3 -0
- items_handover_aug_r001/data/chunk-000/episode_000003.parquet +3 -0
- items_handover_aug_r001/data/chunk-000/episode_000004.parquet +3 -0
- items_handover_aug_r001/meta/episodes.jsonl +5 -0
- items_handover_aug_r001/meta/episodes_stats.jsonl +0 -0
- items_handover_aug_r001/meta/info.json +385 -0
- items_handover_aug_r001/meta/stats.json +0 -0
- items_handover_aug_r001/meta/tasks.jsonl +1 -0
- items_handover_aug_r001/provenance/conversion_program.py +182 -0
- items_handover_aug_r001/provenance/conversion_receipt.json +312 -0
- items_handover_aug_r001/provenance/episodes.jsonl +5 -0
- items_handover_aug_r001/provenance/old_loader_CPU_receipt.json +156 -0
- items_handover_aug_r001/provenance/source_release/action_config.json +1466 -0
- items_handover_aug_r001/provenance/source_release/episodes.jsonl +5 -0
- items_handover_aug_r001/provenance/source_release/gym_config.json +1069 -0
- items_handover_aug_r001/provenance/source_release/production_metadata.json +299 -0
- items_handover_aug_r001/provenance/source_release/profile.json +216 -0
- items_handover_aug_r001/provenance/source_release/release_validation.json +63 -0
- items_handover_aug_r001/provenance/source_release/source_READY +1 -0
- items_handover_aug_r001/provenance/source_release/source_manifest.json +0 -0
- items_handover_aug_r001/provenance/source_release/source_receipt.json +36 -0
- items_handover_aug_r001/provenance/source_release/source_validation.json +222 -0
- items_handover_aug_r001/provenance/source_release_manifest.json +141 -0
- items_handover_aug_r001/provenance/source_validation.json +222 -0
- items_handover_aug_r001/release_manifest.json +60 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_high/episode_000000.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_high/episode_000001.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_high/episode_000002.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_high/episode_000003.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_high/episode_000004.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_left_wrist/episode_000000.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_left_wrist/episode_000001.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_left_wrist/episode_000002.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_left_wrist/episode_000003.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_left_wrist/episode_000004.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_right_wrist/episode_000000.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_right_wrist/episode_000001.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_right_wrist/episode_000002.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_right_wrist/episode_000003.mp4 +3 -0
- items_handover_aug_r001/videos/chunk-000/observation.images.cam_right_wrist/episode_000004.mp4 +3 -0
items_handover_aug_r001/README.md
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# items_handover_aug_r001
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items_handover: 5 complete validated native trajectories, 2185 frames, 25 Hz, 14-dimensional CobotMagic states and actions, three 640×480 cameras.
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This is a genuine LeRobot v2.1 derivative of sealed native v3.0 shard `items_handover_shard_000508`. State/action and every other Arrow column remain exact. Videos are losslessly remuxed at verified episode keyframes; every decoded RGB frame matches the source. Canonical episode, object and variant IDs and source hashes are in `provenance/episodes.jsonl`. This conversion creates zero new physical trajectories.
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The v2.1 layout is intended for the pinned older π0.5 LeRobot loader. Training has not been run on this release. Geometry is still stored locally; its canonical IDs, exact SHA-256 and scale are recorded without claiming a Hugging Face object revision. Only train split is assigned; no independent evaluation split is claimed.
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items_handover_aug_r001/data/chunk-000/episode_000000.parquet
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items_handover_aug_r001/data/chunk-000/episode_000001.parquet
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items_handover_aug_r001/data/chunk-000/episode_000002.parquet
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items_handover_aug_r001/data/chunk-000/episode_000003.parquet
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items_handover_aug_r001/data/chunk-000/episode_000004.parquet
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items_handover_aug_r001/meta/episodes.jsonl
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{"episode_index": 0, "tasks": ["Pick up the pen, hand it over to the other arm and then place it in to the pen holder"], "length": 437}
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{"episode_index": 1, "tasks": ["Pick up the pen, hand it over to the other arm and then place it in to the pen holder"], "length": 437}
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{"episode_index": 2, "tasks": ["Pick up the pen, hand it over to the other arm and then place it in to the pen holder"], "length": 437}
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{"episode_index": 3, "tasks": ["Pick up the pen, hand it over to the other arm and then place it in to the pen holder"], "length": 437}
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{"episode_index": 4, "tasks": ["Pick up the pen, hand it over to the other arm and then place it in to the pen holder"], "length": 437}
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items_handover_aug_r001/meta/episodes_stats.jsonl
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The diff for this file is too large to render.
See raw diff
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items_handover_aug_r001/meta/info.json
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|
| 1 |
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{
|
| 2 |
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"codebase_version": "v2.1",
|
| 3 |
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"robot_type": "cobotmagic",
|
| 4 |
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"total_episodes": 5,
|
| 5 |
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"total_frames": 2185,
|
| 6 |
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"total_tasks": 1,
|
| 7 |
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"chunks_size": 1000,
|
| 8 |
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"fps": 25,
|
| 9 |
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"splits": {
|
| 10 |
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"train": "0:5"
|
| 11 |
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},
|
| 12 |
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
|
| 13 |
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"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
|
| 14 |
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"features": {
|
| 15 |
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"observation.state": {
|
| 16 |
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"dtype": "float32",
|
| 17 |
+
"shape": [
|
| 18 |
+
14
|
| 19 |
+
],
|
| 20 |
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"names": [
|
| 21 |
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"left_joint1",
|
| 22 |
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"left_joint2",
|
| 23 |
+
"left_joint3",
|
| 24 |
+
"left_joint4",
|
| 25 |
+
"left_joint5",
|
| 26 |
+
"left_joint6",
|
| 27 |
+
"left_joint7",
|
| 28 |
+
"right_joint1",
|
| 29 |
+
"right_joint2",
|
| 30 |
+
"right_joint3",
|
| 31 |
+
"right_joint4",
|
| 32 |
+
"right_joint5",
|
| 33 |
+
"right_joint6",
|
| 34 |
+
"right_joint7"
|
| 35 |
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]
|
| 36 |
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},
|
| 37 |
+
"observation.qvel": {
|
| 38 |
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"dtype": "float32",
|
| 39 |
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"shape": [
|
| 40 |
+
14
|
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+
],
|
| 42 |
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"names": [
|
| 43 |
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"left_joint1",
|
| 44 |
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"left_joint2",
|
| 45 |
+
"left_joint3",
|
| 46 |
+
"left_joint4",
|
| 47 |
+
"left_joint5",
|
| 48 |
+
"left_joint6",
|
| 49 |
+
"left_joint7",
|
| 50 |
+
"right_joint1",
|
| 51 |
+
"right_joint2",
|
| 52 |
+
"right_joint3",
|
| 53 |
+
"right_joint4",
|
| 54 |
+
"right_joint5",
|
| 55 |
+
"right_joint6",
|
| 56 |
+
"right_joint7"
|
| 57 |
+
]
|
| 58 |
+
},
|
| 59 |
+
"observation.qf": {
|
| 60 |
+
"dtype": "float32",
|
| 61 |
+
"shape": [
|
| 62 |
+
14
|
| 63 |
+
],
|
| 64 |
+
"names": [
|
| 65 |
+
"left_joint1",
|
| 66 |
+
"left_joint2",
|
| 67 |
+
"left_joint3",
|
| 68 |
+
"left_joint4",
|
| 69 |
+
"left_joint5",
|
| 70 |
+
"left_joint6",
|
| 71 |
+
"left_joint7",
|
| 72 |
+
"right_joint1",
|
| 73 |
+
"right_joint2",
|
| 74 |
+
"right_joint3",
|
| 75 |
+
"right_joint4",
|
| 76 |
+
"right_joint5",
|
| 77 |
+
"right_joint6",
|
| 78 |
+
"right_joint7"
|
| 79 |
+
]
|
| 80 |
+
},
|
| 81 |
+
"action": {
|
| 82 |
+
"dtype": "float32",
|
| 83 |
+
"shape": [
|
| 84 |
+
14
|
| 85 |
+
],
|
| 86 |
+
"names": [
|
| 87 |
+
"left_joint1",
|
| 88 |
+
"left_joint2",
|
| 89 |
+
"left_joint3",
|
| 90 |
+
"left_joint4",
|
| 91 |
+
"left_joint5",
|
| 92 |
+
"left_joint6",
|
| 93 |
+
"left_joint7",
|
| 94 |
+
"right_joint1",
|
| 95 |
+
"right_joint2",
|
| 96 |
+
"right_joint3",
|
| 97 |
+
"right_joint4",
|
| 98 |
+
"right_joint5",
|
| 99 |
+
"right_joint6",
|
| 100 |
+
"right_joint7"
|
| 101 |
+
]
|
| 102 |
+
},
|
| 103 |
+
"observation.images.cam_high": {
|
| 104 |
+
"dtype": "video",
|
| 105 |
+
"shape": [
|
| 106 |
+
480,
|
| 107 |
+
640,
|
| 108 |
+
3
|
| 109 |
+
],
|
| 110 |
+
"names": [
|
| 111 |
+
"height",
|
| 112 |
+
"width",
|
| 113 |
+
"channel"
|
| 114 |
+
],
|
| 115 |
+
"info": {
|
| 116 |
+
"video.height": 480,
|
| 117 |
+
"video.width": 640,
|
| 118 |
+
"video.codec": "av1",
|
| 119 |
+
"video.pix_fmt": "yuv420p",
|
| 120 |
+
"video.is_depth_map": false,
|
| 121 |
+
"video.fps": 25,
|
| 122 |
+
"video.channels": 3,
|
| 123 |
+
"has_audio": false
|
| 124 |
+
}
|
| 125 |
+
},
|
| 126 |
+
"observation.images.cam_right_wrist": {
|
| 127 |
+
"dtype": "video",
|
| 128 |
+
"shape": [
|
| 129 |
+
480,
|
| 130 |
+
640,
|
| 131 |
+
3
|
| 132 |
+
],
|
| 133 |
+
"names": [
|
| 134 |
+
"height",
|
| 135 |
+
"width",
|
| 136 |
+
"channel"
|
| 137 |
+
],
|
| 138 |
+
"info": {
|
| 139 |
+
"video.height": 480,
|
| 140 |
+
"video.width": 640,
|
| 141 |
+
"video.codec": "av1",
|
| 142 |
+
"video.pix_fmt": "yuv420p",
|
| 143 |
+
"video.is_depth_map": false,
|
| 144 |
+
"video.fps": 25,
|
| 145 |
+
"video.channels": 3,
|
| 146 |
+
"has_audio": false
|
| 147 |
+
}
|
| 148 |
+
},
|
| 149 |
+
"observation.images.cam_left_wrist": {
|
| 150 |
+
"dtype": "video",
|
| 151 |
+
"shape": [
|
| 152 |
+
480,
|
| 153 |
+
640,
|
| 154 |
+
3
|
| 155 |
+
],
|
| 156 |
+
"names": [
|
| 157 |
+
"height",
|
| 158 |
+
"width",
|
| 159 |
+
"channel"
|
| 160 |
+
],
|
| 161 |
+
"info": {
|
| 162 |
+
"video.height": 480,
|
| 163 |
+
"video.width": 640,
|
| 164 |
+
"video.codec": "av1",
|
| 165 |
+
"video.pix_fmt": "yuv420p",
|
| 166 |
+
"video.is_depth_map": false,
|
| 167 |
+
"video.fps": 25,
|
| 168 |
+
"video.channels": 3,
|
| 169 |
+
"has_audio": false
|
| 170 |
+
}
|
| 171 |
+
},
|
| 172 |
+
"task2000_pen_left_grasp_contact.position": {
|
| 173 |
+
"dtype": "float32",
|
| 174 |
+
"shape": [
|
| 175 |
+
64,
|
| 176 |
+
3
|
| 177 |
+
],
|
| 178 |
+
"names": "position"
|
| 179 |
+
},
|
| 180 |
+
"task2000_pen_left_grasp_contact.normal": {
|
| 181 |
+
"dtype": "float32",
|
| 182 |
+
"shape": [
|
| 183 |
+
64,
|
| 184 |
+
3
|
| 185 |
+
],
|
| 186 |
+
"names": "normal"
|
| 187 |
+
},
|
| 188 |
+
"task2000_pen_left_grasp_contact.friction": {
|
| 189 |
+
"dtype": "float32",
|
| 190 |
+
"shape": [
|
| 191 |
+
64,
|
| 192 |
+
3
|
| 193 |
+
],
|
| 194 |
+
"names": "friction"
|
| 195 |
+
},
|
| 196 |
+
"task2000_pen_left_grasp_contact.impulse": {
|
| 197 |
+
"dtype": "float32",
|
| 198 |
+
"shape": [
|
| 199 |
+
64
|
| 200 |
+
],
|
| 201 |
+
"names": "impulse"
|
| 202 |
+
},
|
| 203 |
+
"task2000_pen_left_grasp_contact.distance": {
|
| 204 |
+
"dtype": "float32",
|
| 205 |
+
"shape": [
|
| 206 |
+
64
|
| 207 |
+
],
|
| 208 |
+
"names": "distance"
|
| 209 |
+
},
|
| 210 |
+
"task2000_pen_left_grasp_contact.user_ids": {
|
| 211 |
+
"dtype": "int32",
|
| 212 |
+
"shape": [
|
| 213 |
+
64,
|
| 214 |
+
2
|
| 215 |
+
],
|
| 216 |
+
"names": "user_ids"
|
| 217 |
+
},
|
| 218 |
+
"task2000_pen_left_grasp_contact.is_valid": {
|
| 219 |
+
"dtype": "bool",
|
| 220 |
+
"shape": [
|
| 221 |
+
64
|
| 222 |
+
],
|
| 223 |
+
"names": "is_valid"
|
| 224 |
+
},
|
| 225 |
+
"task2000_pen_right_grasp_contact.position": {
|
| 226 |
+
"dtype": "float32",
|
| 227 |
+
"shape": [
|
| 228 |
+
64,
|
| 229 |
+
3
|
| 230 |
+
],
|
| 231 |
+
"names": "position"
|
| 232 |
+
},
|
| 233 |
+
"task2000_pen_right_grasp_contact.normal": {
|
| 234 |
+
"dtype": "float32",
|
| 235 |
+
"shape": [
|
| 236 |
+
64,
|
| 237 |
+
3
|
| 238 |
+
],
|
| 239 |
+
"names": "normal"
|
| 240 |
+
},
|
| 241 |
+
"task2000_pen_right_grasp_contact.friction": {
|
| 242 |
+
"dtype": "float32",
|
| 243 |
+
"shape": [
|
| 244 |
+
64,
|
| 245 |
+
3
|
| 246 |
+
],
|
| 247 |
+
"names": "friction"
|
| 248 |
+
},
|
| 249 |
+
"task2000_pen_right_grasp_contact.impulse": {
|
| 250 |
+
"dtype": "float32",
|
| 251 |
+
"shape": [
|
| 252 |
+
64
|
| 253 |
+
],
|
| 254 |
+
"names": "impulse"
|
| 255 |
+
},
|
| 256 |
+
"task2000_pen_right_grasp_contact.distance": {
|
| 257 |
+
"dtype": "float32",
|
| 258 |
+
"shape": [
|
| 259 |
+
64
|
| 260 |
+
],
|
| 261 |
+
"names": "distance"
|
| 262 |
+
},
|
| 263 |
+
"task2000_pen_right_grasp_contact.user_ids": {
|
| 264 |
+
"dtype": "int32",
|
| 265 |
+
"shape": [
|
| 266 |
+
64,
|
| 267 |
+
2
|
| 268 |
+
],
|
| 269 |
+
"names": "user_ids"
|
| 270 |
+
},
|
| 271 |
+
"task2000_pen_right_grasp_contact.is_valid": {
|
| 272 |
+
"dtype": "bool",
|
| 273 |
+
"shape": [
|
| 274 |
+
64
|
| 275 |
+
],
|
| 276 |
+
"names": "is_valid"
|
| 277 |
+
},
|
| 278 |
+
"task2000_pen_holder_contact.position": {
|
| 279 |
+
"dtype": "float32",
|
| 280 |
+
"shape": [
|
| 281 |
+
64,
|
| 282 |
+
3
|
| 283 |
+
],
|
| 284 |
+
"names": "position"
|
| 285 |
+
},
|
| 286 |
+
"task2000_pen_holder_contact.normal": {
|
| 287 |
+
"dtype": "float32",
|
| 288 |
+
"shape": [
|
| 289 |
+
64,
|
| 290 |
+
3
|
| 291 |
+
],
|
| 292 |
+
"names": "normal"
|
| 293 |
+
},
|
| 294 |
+
"task2000_pen_holder_contact.friction": {
|
| 295 |
+
"dtype": "float32",
|
| 296 |
+
"shape": [
|
| 297 |
+
64,
|
| 298 |
+
3
|
| 299 |
+
],
|
| 300 |
+
"names": "friction"
|
| 301 |
+
},
|
| 302 |
+
"task2000_pen_holder_contact.impulse": {
|
| 303 |
+
"dtype": "float32",
|
| 304 |
+
"shape": [
|
| 305 |
+
64
|
| 306 |
+
],
|
| 307 |
+
"names": "impulse"
|
| 308 |
+
},
|
| 309 |
+
"task2000_pen_holder_contact.distance": {
|
| 310 |
+
"dtype": "float32",
|
| 311 |
+
"shape": [
|
| 312 |
+
64
|
| 313 |
+
],
|
| 314 |
+
"names": "distance"
|
| 315 |
+
},
|
| 316 |
+
"task2000_pen_holder_contact.user_ids": {
|
| 317 |
+
"dtype": "int32",
|
| 318 |
+
"shape": [
|
| 319 |
+
64,
|
| 320 |
+
2
|
| 321 |
+
],
|
| 322 |
+
"names": "user_ids"
|
| 323 |
+
},
|
| 324 |
+
"task2000_pen_holder_contact.is_valid": {
|
| 325 |
+
"dtype": "bool",
|
| 326 |
+
"shape": [
|
| 327 |
+
64
|
| 328 |
+
],
|
| 329 |
+
"names": "is_valid"
|
| 330 |
+
},
|
| 331 |
+
"pen_pose": {
|
| 332 |
+
"dtype": "float32",
|
| 333 |
+
"shape": [
|
| 334 |
+
4,
|
| 335 |
+
4
|
| 336 |
+
],
|
| 337 |
+
"names": "pen_pose"
|
| 338 |
+
},
|
| 339 |
+
"holder_pose": {
|
| 340 |
+
"dtype": "float32",
|
| 341 |
+
"shape": [
|
| 342 |
+
4,
|
| 343 |
+
4
|
| 344 |
+
],
|
| 345 |
+
"names": "holder_pose"
|
| 346 |
+
},
|
| 347 |
+
"timestamp": {
|
| 348 |
+
"dtype": "float32",
|
| 349 |
+
"shape": [
|
| 350 |
+
1
|
| 351 |
+
],
|
| 352 |
+
"names": null
|
| 353 |
+
},
|
| 354 |
+
"frame_index": {
|
| 355 |
+
"dtype": "int64",
|
| 356 |
+
"shape": [
|
| 357 |
+
1
|
| 358 |
+
],
|
| 359 |
+
"names": null
|
| 360 |
+
},
|
| 361 |
+
"episode_index": {
|
| 362 |
+
"dtype": "int64",
|
| 363 |
+
"shape": [
|
| 364 |
+
1
|
| 365 |
+
],
|
| 366 |
+
"names": null
|
| 367 |
+
},
|
| 368 |
+
"index": {
|
| 369 |
+
"dtype": "int64",
|
| 370 |
+
"shape": [
|
| 371 |
+
1
|
| 372 |
+
],
|
| 373 |
+
"names": null
|
| 374 |
+
},
|
| 375 |
+
"task_index": {
|
| 376 |
+
"dtype": "int64",
|
| 377 |
+
"shape": [
|
| 378 |
+
1
|
| 379 |
+
],
|
| 380 |
+
"names": null
|
| 381 |
+
}
|
| 382 |
+
},
|
| 383 |
+
"total_chunks": 1,
|
| 384 |
+
"total_videos": 15
|
| 385 |
+
}
|
items_handover_aug_r001/meta/stats.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
items_handover_aug_r001/meta/tasks.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"task_index": 0, "task": "Pick up the pen, hand it over to the other arm and then place it in to the pen holder"}
|
items_handover_aug_r001/provenance/conversion_program.py
ADDED
|
@@ -0,0 +1,182 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Export closed native v3 shards to independent, lossless v2.1 HF releases.
|
| 2 |
+
|
| 3 |
+
Only new staging outputs are written. Sealed source datasets, the production
|
| 4 |
+
ledger, assets and receipts remain untouched. Existing converter metadata/data
|
| 5 |
+
helpers are reused; video segments are remuxed at verified episode keyframes.
|
| 6 |
+
"""
|
| 7 |
+
|
| 8 |
+
from __future__ import annotations
|
| 9 |
+
|
| 10 |
+
import hashlib
|
| 11 |
+
import importlib.util
|
| 12 |
+
import json
|
| 13 |
+
from pathlib import Path
|
| 14 |
+
import sqlite3
|
| 15 |
+
from fractions import Fraction
|
| 16 |
+
import shutil
|
| 17 |
+
import subprocess
|
| 18 |
+
|
| 19 |
+
import av
|
| 20 |
+
import numpy as np
|
| 21 |
+
import pyarrow.parquet as pq
|
| 22 |
+
|
| 23 |
+
ROOT = Path(__file__).resolve().parents[2]
|
| 24 |
+
CAMPAIGN = ROOT / "web/runs/data_generation/task2000_v1"
|
| 25 |
+
DEST = CAMPAIGN / "release_staging/hf_initial_task_release_v1/compatible_v21"
|
| 26 |
+
SHARDS = ((508, "items_handover_aug_r001"), (526, "item_assembly_aug_r001"))
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
def sha(path: Path) -> str:
|
| 30 |
+
h = hashlib.sha256()
|
| 31 |
+
with path.open("rb") as f:
|
| 32 |
+
for block in iter(lambda: f.read(1024 * 1024), b""):
|
| 33 |
+
h.update(block)
|
| 34 |
+
return h.hexdigest()
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
def write_json(path: Path, value: object) -> None:
|
| 38 |
+
path.parent.mkdir(parents=True, exist_ok=True)
|
| 39 |
+
path.write_text(json.dumps(value, indent=2, ensure_ascii=False, allow_nan=False) + "\n")
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
def hashes(root: Path) -> dict[str, str]:
|
| 43 |
+
return {str(p.relative_to(root)): sha(p) for p in sorted(root.rglob("*")) if p.is_file()}
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
def packet_split(src: Path, dst: Path, start: float, length: int, fps: int) -> dict:
|
| 47 |
+
"""Copy compressed packets exactly; refuse a non-keyframe episode boundary."""
|
| 48 |
+
dst.parent.mkdir(parents=True, exist_ok=True)
|
| 49 |
+
with av.open(str(src)) as reader:
|
| 50 |
+
stream = reader.streams.video[0]
|
| 51 |
+
base = stream.time_base
|
| 52 |
+
begin = Fraction(str(start)) / base
|
| 53 |
+
ticks = Fraction(1, fps) / base
|
| 54 |
+
if begin.denominator != 1 or ticks.denominator != 1:
|
| 55 |
+
raise ValueError("Episode boundary is not an integer source timestamp")
|
| 56 |
+
begin, ticks = int(begin), int(ticks)
|
| 57 |
+
end = begin + length * ticks
|
| 58 |
+
reader.seek(begin, stream=stream, backward=True, any_frame=False)
|
| 59 |
+
count = 0
|
| 60 |
+
for packet in reader.demux(stream):
|
| 61 |
+
if packet.pts is None or packet.pts < begin:
|
| 62 |
+
continue
|
| 63 |
+
if packet.pts >= end:
|
| 64 |
+
break
|
| 65 |
+
if packet.pts != begin + count * ticks or packet.dts != packet.pts:
|
| 66 |
+
raise ValueError("Packet timing is not an exact monotonic 25 Hz sequence")
|
| 67 |
+
if count == 0 and not packet.is_keyframe:
|
| 68 |
+
raise ValueError("Episode does not start with a codec keyframe")
|
| 69 |
+
count += 1
|
| 70 |
+
if count != length:
|
| 71 |
+
raise ValueError(f"Video packet count mismatch: {count} != {length}")
|
| 72 |
+
subprocess.run(["/home/graphvix/miniforge3/envs/robosyn/bin/ffmpeg", "-hide_banner", "-loglevel", "error", "-ss", f"{start:.6f}", "-i", str(src), "-t", f"{length / fps:.6f}", "-map", "0:v:0", "-c", "copy", "-avoid_negative_ts", "1", "-y", str(dst)], check=True, capture_output=True, timeout=300)
|
| 73 |
+
return {"packets": count, "first_packet_keyframe": True, "method": "lossless_ffmpeg_stream_copy"}
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
def decoded_hashes(path: Path, lengths: list[int], fps: int) -> list[str]:
|
| 77 |
+
"""Fully decode each source/output frame and hash the exact RGB pixels."""
|
| 78 |
+
total = sum(lengths)
|
| 79 |
+
result, h, ep, in_ep, count = [], hashlib.sha256(), 0, 0, 0
|
| 80 |
+
with av.open(str(path)) as container:
|
| 81 |
+
stream = container.streams.video[0]
|
| 82 |
+
stream.codec_context.thread_count = 2
|
| 83 |
+
if stream.average_rate != Fraction(fps, 1):
|
| 84 |
+
raise ValueError("Unexpected video rate")
|
| 85 |
+
for frame in container.decode(stream):
|
| 86 |
+
if (frame.width, frame.height) != (640, 480):
|
| 87 |
+
raise ValueError("Unexpected camera resolution")
|
| 88 |
+
if frame.pts is None or abs(float(frame.pts * frame.time_base) - count / fps) > 1e-5:
|
| 89 |
+
raise ValueError("Decoded video has a dropped, shifted or duplicated timestamp")
|
| 90 |
+
if ep >= len(lengths):
|
| 91 |
+
raise ValueError("Extra decoded frames")
|
| 92 |
+
h.update(frame.to_ndarray(format="rgb24").tobytes())
|
| 93 |
+
in_ep += 1
|
| 94 |
+
count += 1
|
| 95 |
+
if in_ep == lengths[ep]:
|
| 96 |
+
result.append(h.hexdigest())
|
| 97 |
+
h, ep, in_ep = hashlib.sha256(), ep + 1, 0
|
| 98 |
+
if count != total or ep != len(lengths) or in_ep:
|
| 99 |
+
raise ValueError(f"Decoded video length mismatch: {count} != {total}")
|
| 100 |
+
return result
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
def main() -> None:
|
| 104 |
+
spec = importlib.util.spec_from_file_location("existing_v21_converter", ROOT / "scripts/convert_lerobot3.0_to_2.1.py")
|
| 105 |
+
conv = importlib.util.module_from_spec(spec)
|
| 106 |
+
spec.loader.exec_module(conv)
|
| 107 |
+
DEST.mkdir(parents=True, exist_ok=True)
|
| 108 |
+
db = sqlite3.connect(f"file:{CAMPAIGN / 'production.sqlite3'}?mode=ro", uri=True)
|
| 109 |
+
db.row_factory = sqlite3.Row
|
| 110 |
+
summary = []
|
| 111 |
+
for number, release in SHARDS:
|
| 112 |
+
shard = db.execute("SELECT id,task,state,qualified,profile FROM shards WHERE number=?", (number,)).fetchone()
|
| 113 |
+
assert shard["state"] == "complete" and shard["qualified"] == 5
|
| 114 |
+
rows = db.execute("SELECT id,payload FROM episodes WHERE shard=? ORDER BY native_episode", (shard["id"],)).fetchall()
|
| 115 |
+
episodes = [json.loads(r["payload"]) for r in rows]
|
| 116 |
+
source = Path(episodes[0]["dataset"])
|
| 117 |
+
result = Path(episodes[0]["shard"])
|
| 118 |
+
source_hashes = hashes(source)
|
| 119 |
+
validation = json.loads((result / "validation.json").read_text())
|
| 120 |
+
assert len(episodes) == validation["accepted_episodes"] == 5 and validation["status"] == "passed"
|
| 121 |
+
assert all(x["quality"]["passed"] and all(x["quality"]["checks"].values()) for x in validation["episode_checks"])
|
| 122 |
+
target = DEST / release
|
| 123 |
+
if target.exists():
|
| 124 |
+
raise FileExistsError(f"Refuse to overwrite prepared release: {target}")
|
| 125 |
+
target.mkdir()
|
| 126 |
+
records = conv.load_episode_records(source)
|
| 127 |
+
info = conv.load_info(source)
|
| 128 |
+
assert info["codebase_version"] == "v3.0" and info["fps"] == 25
|
| 129 |
+
assert len(records) == 5 and [int(x["episode_index"]) for x in records] == list(range(5))
|
| 130 |
+
cameras = sorted(k for k, v in info["features"].items() if v["dtype"] == "video")
|
| 131 |
+
assert cameras == ["observation.images.cam_high", "observation.images.cam_left_wrist", "observation.images.cam_right_wrist"]
|
| 132 |
+
chunks = int(info["chunks_size"])
|
| 133 |
+
conv.convert_info(source, target, records, cameras)
|
| 134 |
+
conv.copy_global_stats(source, target)
|
| 135 |
+
conv.convert_tasks(source, target)
|
| 136 |
+
conv.convert_data(source, target, records, chunks)
|
| 137 |
+
conv.convert_episodes_metadata(target, records)
|
| 138 |
+
lengths = [int(r["length"]) for r in records]
|
| 139 |
+
videos = []
|
| 140 |
+
for camera in cameras:
|
| 141 |
+
source_video = source / info["video_path"].format(video_key=camera, chunk_index=0, file_index=0)
|
| 142 |
+
expected = decoded_hashes(source_video, lengths, 25)
|
| 143 |
+
for record, expected_rgb in zip(records, expected):
|
| 144 |
+
ep = int(record["episode_index"])
|
| 145 |
+
destination = target / conv.LEGACY_VIDEO_PATH_TEMPLATE.format(episode_chunk=ep // chunks, episode_index=ep, video_key=camera)
|
| 146 |
+
proof = packet_split(source_video, destination, float(record[f"videos/{camera}/from_timestamp"]), int(record["length"]), 25)
|
| 147 |
+
actual_rgb = decoded_hashes(destination, [int(record["length"])], 25)[0]
|
| 148 |
+
assert expected_rgb == actual_rgb
|
| 149 |
+
videos.append({"episode_index": ep, "camera": camera, "frames": int(record["length"]), "fps": 25, "width": 640, "height": 480, "source_rgb_sha256": expected_rgb, "converted_rgb_sha256": actual_rgb, **proof})
|
| 150 |
+
arrays = []
|
| 151 |
+
source_table = pq.read_table(source / info["data_path"].format(chunk_index=0, file_index=0))
|
| 152 |
+
for record in records:
|
| 153 |
+
ep = int(record["episode_index"])
|
| 154 |
+
original = source_table.slice(int(record["dataset_from_index"]), int(record["length"])).replace_schema_metadata(None)
|
| 155 |
+
transformed = pq.read_table(target / conv.LEGACY_DATA_PATH_TEMPLATE.format(episode_chunk=ep // chunks, episode_index=ep))
|
| 156 |
+
assert original.equals(transformed)
|
| 157 |
+
for key in ("observation.state", "action"):
|
| 158 |
+
arr = np.stack(transformed[key].to_pylist())
|
| 159 |
+
assert arr.shape == (int(record["length"]), 14) and np.isfinite(arr).all()
|
| 160 |
+
assert np.allclose(np.asarray(transformed["timestamp"].to_pylist()), np.arange(int(record["length"]))/25, atol=1e-5, rtol=0)
|
| 161 |
+
arrays.append({"episode_index": ep, "all_arrow_columns_values_exact": True, "finite_14d_state_action": True, "timestamps_25hz": True, "frames": int(record["length"])})
|
| 162 |
+
assert hashes(source) == source_hashes
|
| 163 |
+
provenance = target / "provenance"
|
| 164 |
+
provenance.mkdir()
|
| 165 |
+
source_release = DEST.parent / release
|
| 166 |
+
if source_release.is_dir():
|
| 167 |
+
shutil.copytree(source_release / "provenance", provenance / "source_release")
|
| 168 |
+
shutil.copy2(source_release / "release_manifest.json", provenance / "source_release_manifest.json")
|
| 169 |
+
(provenance / "episodes.jsonl").write_text("".join(json.dumps(e, ensure_ascii=False, allow_nan=False) + "\n" for e in episodes))
|
| 170 |
+
write_json(provenance / "source_validation.json", validation)
|
| 171 |
+
output_hashes = hashes(target)
|
| 172 |
+
receipt = {"status": "passed", "release_id": release, "task": shard["task"], "source_shard_id": shard["id"], "source_profile_id": shard["profile"], "source_dataset": str(source), "output_dataset": str(target), "source_format": "v3.0", "output_format": "v2.1", "episodes": 5, "frames": sum(lengths), "fps": 25, "independent_physical_episode_count_added": 0, "source_dataset_unchanged": True, "source_file_sha256": source_hashes, "converted_file_sha256": output_hashes, "data_checks": arrays, "video_checks": videos, "canonical_episode_ids": [e["id"] for e in episodes], "existing_converter_sha256": sha(ROOT / "scripts/convert_lerobot3.0_to_2.1.py"), "conversion_script_sha256": sha(Path(__file__)), "training_executed": False, "objects_repo_id": None, "hf_revision": None}
|
| 173 |
+
write_json(provenance / "conversion_receipt.json", receipt)
|
| 174 |
+
(target / "README.md").write_text(f"# {release}\n\n{shard['task']}: 5 complete validated native trajectories, {sum(lengths)} frames, 25 Hz, 14-dimensional CobotMagic states and actions, three 640×480 cameras.\n\nThis is a genuine LeRobot v2.1 derivative of sealed native v3.0 shard `{shard['id']}`. State/action and every other Arrow column remain exact. Videos are losslessly remuxed at verified episode keyframes; every decoded RGB frame matches the source. Canonical episode, object and variant IDs and source hashes are in `provenance/episodes.jsonl`. This conversion creates zero new physical trajectories.\n\nThe v2.1 layout is intended for the pinned older π0.5 LeRobot loader. Training has not been run on this release. Geometry is still stored locally; its canonical IDs, exact SHA-256 and scale are recorded without claiming a Hugging Face object revision. Only train split is assigned; no independent evaluation split is claimed.\n")
|
| 175 |
+
write_json(target / "release_manifest.json", {"schema_version": "task2000.hf_derived_release.v1", "release_id": release, "task": shard["task"], "episodes": 5, "source_dataset_codebase_version": "v3.0", "dataset_codebase_version": "v2.1", "conversion_receipt": "provenance/conversion_receipt.json", "files": hashes(target), "hf_revision": None, "training_executed": False})
|
| 176 |
+
summary.append({"release": release, "dataset": str(target), "episodes": 5, "frames": sum(lengths), "receipt_sha256": sha(provenance / "conversion_receipt.json")})
|
| 177 |
+
print(json.dumps(summary[-1]), flush=True)
|
| 178 |
+
write_json(DEST / "conversion_summary.json", {"status": "passed", "releases": summary, "episodes": 10, "new_independent_trajectories": 0})
|
| 179 |
+
|
| 180 |
+
|
| 181 |
+
if __name__ == "__main__":
|
| 182 |
+
main()
|
items_handover_aug_r001/provenance/conversion_receipt.json
ADDED
|
@@ -0,0 +1,312 @@
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "passed",
|
| 3 |
+
"release_id": "items_handover_aug_r001",
|
| 4 |
+
"task": "items_handover",
|
| 5 |
+
"source_shard_id": "items_handover_shard_000508",
|
| 6 |
+
"source_profile_id": "items_handover_profile_e7037c1630f84491",
|
| 7 |
+
"source_dataset": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000",
|
| 8 |
+
"output_dataset": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/release_staging/hf_initial_task_release_v1/compatible_v21/items_handover_aug_r001",
|
| 9 |
+
"source_format": "v3.0",
|
| 10 |
+
"output_format": "v2.1",
|
| 11 |
+
"episodes": 5,
|
| 12 |
+
"frames": 2185,
|
| 13 |
+
"fps": 25,
|
| 14 |
+
"independent_physical_episode_count_added": 0,
|
| 15 |
+
"source_dataset_unchanged": true,
|
| 16 |
+
"source_file_sha256": {
|
| 17 |
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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|
| 262 |
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| 263 |
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|
| 264 |
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| 269 |
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| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
| 292 |
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| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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"canonical_episode_ids": [
|
| 301 |
+
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|
| 302 |
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"items_handover_00002432",
|
| 303 |
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"items_handover_00002433",
|
| 304 |
+
"items_handover_00002434",
|
| 305 |
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"items_handover_00002435"
|
| 306 |
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|
| 307 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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}
|
items_handover_aug_r001/provenance/episodes.jsonl
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"id": "items_handover_00002431", "task": "items_handover", "seed": 70075431, "scene_profile_id": "49fabf9ded00973ac17b01c0", "layout_stratum": 0, "object_variant_map": {"holder": {"object_id": "pen_holder_meshy_076", "variant_id": "pen_holder_meshy_076_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "body_scale": [0.56, 0.45, 0.56], "category": "pen_holder"}, "pen": {"object_id": "pen_official_001", "variant_id": "pen_official_001_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "body_scale": [1, 1.6, 1.6], "category": "pen"}, "distractor_0": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}, "distractor_1": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}}, "episode_index": 0, "frames": 437, "fps": 25, "shard": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result", "dataset": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "dataset_origin": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "trace": "attempt_000.json", "initial_scene_path": "initial_scene_000.json", "initial_scene_sha256": "dc3dc2a066d7b61ee4bf1fffa8c980e7601bb3e00449ee48f59cd8a97eb28e7c", "state_action_sha256": "5a182982ed228423c69f20fb87b35b5ece6a05dcafb994260c5b7cc762c20a9b"}
|
| 2 |
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{"id": "items_handover_00002432", "task": "items_handover", "seed": 70075432, "scene_profile_id": "49fabf9ded00973ac17b01c0", "layout_stratum": 0, "object_variant_map": {"holder": {"object_id": "pen_holder_meshy_076", "variant_id": "pen_holder_meshy_076_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "body_scale": [0.56, 0.45, 0.56], "category": "pen_holder"}, "pen": {"object_id": "pen_official_001", "variant_id": "pen_official_001_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "body_scale": [1, 1.6, 1.6], "category": "pen"}, "distractor_0": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}, "distractor_1": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}}, "episode_index": 1, "frames": 437, "fps": 25, "shard": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result", "dataset": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "dataset_origin": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "trace": "attempt_001.json", "initial_scene_path": "initial_scene_001.json", "initial_scene_sha256": "0f74bb23ee9931bf12e0ddad3edd4629617c4640488ca6ff3f823520784e8d7e", "state_action_sha256": "e64f24af11796d29fcdd4ad20dd7e356779e23051dcfaccc95156be3e1486a74"}
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|
| 4 |
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{"id": "items_handover_00002434", "task": "items_handover", "seed": 70075434, "scene_profile_id": "49fabf9ded00973ac17b01c0", "layout_stratum": 0, "object_variant_map": {"holder": {"object_id": "pen_holder_meshy_076", "variant_id": "pen_holder_meshy_076_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "body_scale": [0.56, 0.45, 0.56], "category": "pen_holder"}, "pen": {"object_id": "pen_official_001", "variant_id": "pen_official_001_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "body_scale": [1, 1.6, 1.6], "category": "pen"}, "distractor_0": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}, "distractor_1": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}}, "episode_index": 3, "frames": 437, "fps": 25, "shard": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result", "dataset": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "dataset_origin": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "trace": "attempt_003.json", "initial_scene_path": "initial_scene_003.json", "initial_scene_sha256": "170bf7ec3bd2450e2d5f50b46f270d9bc1201b534b47a30df48b5e58eb846d77", "state_action_sha256": "950037d01e641491bcf63fc799b58efaa8ffcb3a5aabc3d84523ee1d8a309b37"}
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{"id": "items_handover_00002435", "task": "items_handover", "seed": 70075435, "scene_profile_id": "49fabf9ded00973ac17b01c0", "layout_stratum": 0, "object_variant_map": {"holder": {"object_id": "pen_holder_meshy_076", "variant_id": "pen_holder_meshy_076_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "body_scale": [0.56, 0.45, 0.56], "category": "pen_holder"}, "pen": {"object_id": "pen_official_001", "variant_id": "pen_official_001_v000", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "body_scale": [1, 1.6, 1.6], "category": "pen"}, "distractor_0": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}, "distractor_1": {"object_id": "beaker_official_001", "variant_id": "beaker_official_001_v002", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "body_scale": [1.0, 1.0, 1.0], "category": "beaker"}}, "episode_index": 4, "frames": 437, "fps": 25, "shard": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result", "dataset": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "dataset_origin": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/shards/items_handover_shard_000508/result/dataset/cobotmagic_Sim_items_handover_000", "trace": "attempt_004.json", "initial_scene_path": "initial_scene_004.json", "initial_scene_sha256": "4a275860f17e5774002d3031a278b35ee2ee06e0f0ee8f0d1bb3a770921a8858", "state_action_sha256": "cc64c794a73911a86c2fd95650d6f3357f389c14c16a35bfff1b20dff47116be"}
|
items_handover_aug_r001/provenance/old_loader_CPU_receipt.json
ADDED
|
@@ -0,0 +1,156 @@
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| 1 |
+
{
|
| 2 |
+
"status": "passed",
|
| 3 |
+
"scope": "actual_pinned_LeRobot_metadata_and_dataset_CPU_sample_loading_no_training",
|
| 4 |
+
"lerobot_commit": "0cf864870cf29f4738d3ade893e6fd13fbd7cdb5",
|
| 5 |
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|
| 6 |
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|
| 7 |
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"backend": "pyav",
|
| 8 |
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"episodes": 5,
|
| 9 |
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"frames": 2185,
|
| 10 |
+
"fps": 25,
|
| 11 |
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items_handover_aug_r001/provenance/source_release/action_config.json
ADDED
|
@@ -0,0 +1,1466 @@
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|
| 1 |
+
{
|
| 2 |
+
"scope": {
|
| 3 |
+
"right_arm": {
|
| 4 |
+
"type": "DiGraph",
|
| 5 |
+
"dim": [
|
| 6 |
+
6
|
| 7 |
+
],
|
| 8 |
+
"init": {
|
| 9 |
+
"method": "current_qpos",
|
| 10 |
+
"init_node_name": "right_arm_init_qpos"
|
| 11 |
+
},
|
| 12 |
+
"dtype": "float32"
|
| 13 |
+
},
|
| 14 |
+
"left_arm": {
|
| 15 |
+
"type": "DiGraph",
|
| 16 |
+
"dim": [
|
| 17 |
+
6
|
| 18 |
+
],
|
| 19 |
+
"init": {
|
| 20 |
+
"method": "current_qpos",
|
| 21 |
+
"init_node_name": "left_arm_init_qpos"
|
| 22 |
+
},
|
| 23 |
+
"dtype": "float32"
|
| 24 |
+
},
|
| 25 |
+
"left_eef": {
|
| 26 |
+
"type": "DiGraph",
|
| 27 |
+
"dim": [
|
| 28 |
+
1
|
| 29 |
+
],
|
| 30 |
+
"init": {
|
| 31 |
+
"method": "given_qpos",
|
| 32 |
+
"kwargs": {
|
| 33 |
+
"given_qpos": [
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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|
| 40 |
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| 41 |
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| 42 |
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"type": "DiGraph",
|
| 43 |
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| 44 |
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1
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| 45 |
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| 46 |
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| 47 |
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"method": "given_qpos",
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 54 |
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| 56 |
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| 58 |
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| 60 |
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{
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 67 |
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| 68 |
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| 69 |
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| 71 |
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| 72 |
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{
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 80 |
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| 81 |
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| 87 |
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| 91 |
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}
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| 93 |
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| 94 |
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| 99 |
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| 105 |
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| 110 |
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| 111 |
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| 113 |
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| 116 |
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| 119 |
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| 122 |
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| 129 |
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| 142 |
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| 145 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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{
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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}
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| 197 |
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| 198 |
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| 199 |
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{
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| 200 |
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"name": "is_qpos_flip",
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| 201 |
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| 202 |
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| 205 |
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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}
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| 216 |
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}
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| 217 |
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},
|
| 218 |
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{
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| 219 |
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| 220 |
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"name": "generate_affordances_from_src",
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| 221 |
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| 222 |
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{
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| 228 |
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| 229 |
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| 230 |
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| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 236 |
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| 238 |
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| 241 |
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}
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| 243 |
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| 244 |
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| 245 |
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{
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| 246 |
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"name": "is_qpos_flip",
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| 247 |
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| 262 |
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}
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| 263 |
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},
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| 264 |
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{
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| 266 |
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"name": "generate_affordances_from_src",
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| 267 |
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{
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| 274 |
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| 275 |
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{
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| 283 |
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],
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| 284 |
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| 287 |
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| 291 |
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| 293 |
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| 295 |
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{
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{
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| 315 |
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{
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| 324 |
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{
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| 330 |
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| 331 |
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| 333 |
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| 335 |
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| 339 |
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{
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| 340 |
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},
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{
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"name": "generate_affordances_from_src",
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| 361 |
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| 362 |
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{
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| 369 |
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{
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|
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| 381 |
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{
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|
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|
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{
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|
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|
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| 396 |
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|
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|
| 398 |
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{
|
| 399 |
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"name": "get_rotated_pose",
|
| 400 |
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|
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|
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|
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|
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|
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|
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{
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|
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|
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|
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|
| 418 |
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|
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|
| 420 |
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{
|
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|
| 422 |
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|
| 423 |
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{
|
| 425 |
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|
| 426 |
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|
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"ik_func": "env.robot.compute_ik",
|
| 428 |
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|
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"control_part": "right_arm"
|
| 430 |
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|
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{
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|
| 435 |
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|
| 436 |
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|
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|
| 438 |
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}
|
| 439 |
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}
|
| 440 |
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]
|
| 441 |
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},
|
| 442 |
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{
|
| 443 |
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"name": "is_qpos_flip",
|
| 444 |
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"kwargs": {
|
| 445 |
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|
| 446 |
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3,
|
| 448 |
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4
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|
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|
| 455 |
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| 456 |
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|
| 457 |
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|
| 458 |
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}
|
| 459 |
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}
|
| 460 |
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},
|
| 461 |
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{
|
| 462 |
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"right_arm_pen_back_qpos": {
|
| 463 |
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"name": "generate_affordances_from_src",
|
| 464 |
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"kwargs": {
|
| 465 |
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|
| 466 |
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{
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| 467 |
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"src_key": "right_arm_pen_handover_pose",
|
| 468 |
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"dst_key": "right_arm_pen_back_pose",
|
| 469 |
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|
| 470 |
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{
|
| 471 |
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"name": "no_validation",
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| 472 |
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| 473 |
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| 474 |
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{
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| 475 |
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"name": "get_offset_pose",
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| 476 |
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| 477 |
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"offset_value": 0.1,
|
| 478 |
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"direction": "z",
|
| 479 |
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|
| 480 |
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| 481 |
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| 482 |
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{
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| 483 |
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| 484 |
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| 486 |
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"direction": "y",
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| 488 |
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| 492 |
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| 493 |
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},
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| 494 |
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{
|
| 495 |
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"src_key": "right_arm_pen_back_pose",
|
| 496 |
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"dst_key": "right_arm_pen_back_qpos",
|
| 497 |
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|
| 498 |
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{
|
| 499 |
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"name": "get_ik_ret",
|
| 500 |
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"kwargs": {
|
| 501 |
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|
| 502 |
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"qpos_seed": "env.affordance_datas['right_arm_pen_handover_qpos']",
|
| 503 |
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"control_part": "right_arm"
|
| 504 |
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},
|
| 505 |
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|
| 506 |
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{
|
| 507 |
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"name": "get_ik_qpos",
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| 508 |
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|
| 509 |
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"ik_func": "env.robot.compute_ik",
|
| 510 |
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"qpos_seed": "env.affordance_datas['right_arm_pen_handover_qpos']",
|
| 511 |
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"control_part": "right_arm"
|
| 512 |
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}
|
| 513 |
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}
|
| 514 |
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]
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| 515 |
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},
|
| 516 |
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{
|
| 517 |
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"name": "is_qpos_flip",
|
| 518 |
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"kwargs": {
|
| 519 |
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"qpos_ref": "env.affordance_datas['right_arm_init_qpos']",
|
| 520 |
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"qpos_ids": [
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| 521 |
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3,
|
| 522 |
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4
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],
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| 524 |
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"mode": "delta",
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| 527 |
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| 529 |
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]
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}
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| 531 |
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]
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| 532 |
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}
|
| 533 |
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}
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| 534 |
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}
|
| 535 |
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],
|
| 536 |
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"left_arm": [
|
| 537 |
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{
|
| 538 |
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|
| 539 |
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"name": "generate_affordances_from_src",
|
| 540 |
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"kwargs": {
|
| 541 |
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|
| 542 |
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{
|
| 543 |
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"src_key": "left_arm_init_qpos",
|
| 544 |
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|
| 545 |
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|
| 546 |
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{
|
| 547 |
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"name": "no_validation",
|
| 548 |
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| 549 |
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| 550 |
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{
|
| 551 |
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"name": "get_fk_xpos",
|
| 552 |
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|
| 553 |
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"control_part": "left_arm",
|
| 554 |
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|
| 555 |
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}
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| 556 |
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|
| 557 |
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| 558 |
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| 561 |
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}
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| 564 |
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},
|
| 565 |
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{
|
| 566 |
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|
| 567 |
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| 568 |
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{
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| 574 |
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{
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| 575 |
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| 576 |
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| 579 |
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{
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| 641 |
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{
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{
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{
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| 1256 |
+
"duration": 100,
|
| 1257 |
+
"name": "plan_trajectory",
|
| 1258 |
+
"kwargs": {
|
| 1259 |
+
"agent_uid": "left_arm",
|
| 1260 |
+
"keypose_names": [
|
| 1261 |
+
"left_arm_pen_takeover_qpos",
|
| 1262 |
+
"left_arm_pen_move_qpos"
|
| 1263 |
+
]
|
| 1264 |
+
}
|
| 1265 |
+
}
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"left_move_to_place": {
|
| 1269 |
+
"src": "left_arm_pen_move_pose_qpos",
|
| 1270 |
+
"sink": "left_arm_pen_place_pose_qpos",
|
| 1271 |
+
"duration": 20,
|
| 1272 |
+
"name": "plan_trajectory",
|
| 1273 |
+
"kwargs": {
|
| 1274 |
+
"agent_uid": "left_arm",
|
| 1275 |
+
"keypose_names": [
|
| 1276 |
+
"left_arm_pen_move_qpos",
|
| 1277 |
+
"left_arm_pen_place_qpos"
|
| 1278 |
+
]
|
| 1279 |
+
}
|
| 1280 |
+
}
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"left_place_to_up": {
|
| 1284 |
+
"src": "left_arm_pen_place_pose_qpos",
|
| 1285 |
+
"sink": "left_arm_pen_up_qpos",
|
| 1286 |
+
"duration": 25,
|
| 1287 |
+
"name": "plan_trajectory",
|
| 1288 |
+
"kwargs": {
|
| 1289 |
+
"agent_uid": "left_arm",
|
| 1290 |
+
"keypose_names": [
|
| 1291 |
+
"left_arm_pen_place_qpos",
|
| 1292 |
+
"left_arm_pen_up_qpos"
|
| 1293 |
+
]
|
| 1294 |
+
}
|
| 1295 |
+
}
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"holder_settle_left": {
|
| 1299 |
+
"src": "left_arm_pen_up_qpos",
|
| 1300 |
+
"sink": "left_arm_pen_up_qpos",
|
| 1301 |
+
"duration": 35,
|
| 1302 |
+
"name": "stand_still",
|
| 1303 |
+
"kwargs": {
|
| 1304 |
+
"agent_uid": "left_arm",
|
| 1305 |
+
"keypose_names": [
|
| 1306 |
+
"left_arm_pen_up_qpos",
|
| 1307 |
+
"left_arm_pen_up_qpos"
|
| 1308 |
+
]
|
| 1309 |
+
}
|
| 1310 |
+
}
|
| 1311 |
+
}
|
| 1312 |
+
],
|
| 1313 |
+
"right_eef": [
|
| 1314 |
+
{
|
| 1315 |
+
"right_open0": {
|
| 1316 |
+
"src": "right_init",
|
| 1317 |
+
"sink": "right_open0",
|
| 1318 |
+
"duration": 15,
|
| 1319 |
+
"name": "execute_open",
|
| 1320 |
+
"kwargs": {
|
| 1321 |
+
"return_action": true,
|
| 1322 |
+
"expand": true
|
| 1323 |
+
}
|
| 1324 |
+
}
|
| 1325 |
+
},
|
| 1326 |
+
{
|
| 1327 |
+
"right_close0": {
|
| 1328 |
+
"src": "right_open0",
|
| 1329 |
+
"sink": "right_close",
|
| 1330 |
+
"duration": 15,
|
| 1331 |
+
"name": "execute_close",
|
| 1332 |
+
"kwargs": {
|
| 1333 |
+
"return_action": true,
|
| 1334 |
+
"expand": true
|
| 1335 |
+
}
|
| 1336 |
+
}
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"right_open1": {
|
| 1340 |
+
"src": "right_close",
|
| 1341 |
+
"sink": "right_open1",
|
| 1342 |
+
"duration": 10,
|
| 1343 |
+
"name": "execute_open",
|
| 1344 |
+
"kwargs": {
|
| 1345 |
+
"return_action": true,
|
| 1346 |
+
"expand": true
|
| 1347 |
+
}
|
| 1348 |
+
}
|
| 1349 |
+
}
|
| 1350 |
+
],
|
| 1351 |
+
"left_eef": [
|
| 1352 |
+
{
|
| 1353 |
+
"left_open0": {
|
| 1354 |
+
"src": "left_init",
|
| 1355 |
+
"sink": "left_open0",
|
| 1356 |
+
"duration": 15,
|
| 1357 |
+
"name": "execute_open",
|
| 1358 |
+
"kwargs": {
|
| 1359 |
+
"return_action": true,
|
| 1360 |
+
"expand": true
|
| 1361 |
+
}
|
| 1362 |
+
}
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"left_close0": {
|
| 1366 |
+
"src": "left_open0",
|
| 1367 |
+
"sink": "left_close",
|
| 1368 |
+
"duration": 15,
|
| 1369 |
+
"name": "execute_close",
|
| 1370 |
+
"kwargs": {
|
| 1371 |
+
"return_action": true,
|
| 1372 |
+
"expand": true
|
| 1373 |
+
}
|
| 1374 |
+
}
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"left_open1": {
|
| 1378 |
+
"src": "left_close",
|
| 1379 |
+
"sink": "left_open1",
|
| 1380 |
+
"duration": 10,
|
| 1381 |
+
"name": "execute_open",
|
| 1382 |
+
"kwargs": {
|
| 1383 |
+
"return_action": true,
|
| 1384 |
+
"expand": true
|
| 1385 |
+
}
|
| 1386 |
+
}
|
| 1387 |
+
}
|
| 1388 |
+
]
|
| 1389 |
+
},
|
| 1390 |
+
"sync": {
|
| 1391 |
+
"right_init_to_pre1": {
|
| 1392 |
+
"depend_tasks": [
|
| 1393 |
+
"right_open0"
|
| 1394 |
+
]
|
| 1395 |
+
},
|
| 1396 |
+
"right_close0": {
|
| 1397 |
+
"depend_tasks": [
|
| 1398 |
+
"right_pre1_to_grasp"
|
| 1399 |
+
]
|
| 1400 |
+
},
|
| 1401 |
+
"right_grasp_to_up": {
|
| 1402 |
+
"depend_tasks": [
|
| 1403 |
+
"right_close0"
|
| 1404 |
+
]
|
| 1405 |
+
},
|
| 1406 |
+
"right_open1": {
|
| 1407 |
+
"depend_tasks": [
|
| 1408 |
+
"left_close0"
|
| 1409 |
+
]
|
| 1410 |
+
},
|
| 1411 |
+
"right_handover_to_back": {
|
| 1412 |
+
"depend_tasks": [
|
| 1413 |
+
"right_open1"
|
| 1414 |
+
]
|
| 1415 |
+
},
|
| 1416 |
+
"left_init_to_pre1": {
|
| 1417 |
+
"depend_tasks": [
|
| 1418 |
+
"right_up_to_handover"
|
| 1419 |
+
]
|
| 1420 |
+
},
|
| 1421 |
+
"left_close0": {
|
| 1422 |
+
"depend_tasks": [
|
| 1423 |
+
"right_up_to_handover",
|
| 1424 |
+
"left_pre1_to_takeover"
|
| 1425 |
+
]
|
| 1426 |
+
},
|
| 1427 |
+
"left_takeover_to_move": {
|
| 1428 |
+
"depend_tasks": [
|
| 1429 |
+
"left_close0",
|
| 1430 |
+
"right_open1",
|
| 1431 |
+
"right_handover_to_back"
|
| 1432 |
+
]
|
| 1433 |
+
},
|
| 1434 |
+
"left_open1": {
|
| 1435 |
+
"depend_tasks": [
|
| 1436 |
+
"left_move_to_place"
|
| 1437 |
+
]
|
| 1438 |
+
},
|
| 1439 |
+
"left_place_to_up": {
|
| 1440 |
+
"depend_tasks": [
|
| 1441 |
+
"left_open1"
|
| 1442 |
+
]
|
| 1443 |
+
},
|
| 1444 |
+
"holder_settle_left": {
|
| 1445 |
+
"depend_tasks": [
|
| 1446 |
+
"left_place_to_up",
|
| 1447 |
+
"left_open1",
|
| 1448 |
+
"right_handover_to_back",
|
| 1449 |
+
"right_open1"
|
| 1450 |
+
]
|
| 1451 |
+
},
|
| 1452 |
+
"holder_settle_right": {
|
| 1453 |
+
"depend_tasks": [
|
| 1454 |
+
"left_place_to_up",
|
| 1455 |
+
"left_open1",
|
| 1456 |
+
"right_handover_to_back",
|
| 1457 |
+
"right_open1"
|
| 1458 |
+
]
|
| 1459 |
+
}
|
| 1460 |
+
},
|
| 1461 |
+
"misc": {
|
| 1462 |
+
"vis_graph": false,
|
| 1463 |
+
"vis_gantt": false,
|
| 1464 |
+
"warpping": true
|
| 1465 |
+
}
|
| 1466 |
+
}
|
items_handover_aug_r001/provenance/source_release/episodes.jsonl
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"episode_id": "items_handover_00002431", "fps": 25, "frames": 437, "initial_scene_file_sha256": "a9cc80f3637d8da7f63551ad97c65a18b69b1e5e1e5e70b3d3e7ba73a1953cd0", "initial_scene_sha256": "dc3dc2a066d7b61ee4bf1fffa8c980e7601bb3e00449ee48f59cd8a97eb28e7c", "layout_stratum": 0, "native_episode_index": 0, "object_variant_map": {"distractor_0": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "distractor_1": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "holder": {"body_scale": [0.56, 0.45, 0.56], "category": "pen_holder", "object_id": "pen_holder_meshy_076", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "variant_id": "pen_holder_meshy_076_v000"}, "pen": {"body_scale": [1, 1.6, 1.6], "category": "pen", "object_id": "pen_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "variant_id": "pen_official_001_v000"}}, "official_success": true, "physical_trace_sha256": "734742e36b01b5fc7cbc4173820fe9c1983aedba3239b09900234f19f71bfbca", "recipe_profile_id": "items_handover_profile_e7037c1630f84491", "scene_profile_id": "49fabf9ded00973ac17b01c0", "seed": 70075431, "shard_id": "items_handover_shard_000508", "state_action_sha256": "5a182982ed228423c69f20fb87b35b5ece6a05dcafb994260c5b7cc762c20a9b", "strict_quality": {"checks": {"complete_initial_and_scene_evidence": true, "inserted_section_inside_cavity": true, "object_released_last_20": true, "pen_holder_contact_last_20": true, "pen_moved": true, "pen_stable": true, "pen_tip_in_calibrated_holder_cavity": true, "physical_handover_contacts": true, "required_insertion_depth": true}, "passed": true, "quality_policy": "task2000_v1"}, "task": "items_handover"}
|
| 2 |
+
{"episode_id": "items_handover_00002432", "fps": 25, "frames": 437, "initial_scene_file_sha256": "314b53e04a711bb74a0c9be48e8e4eb94e27f5b1b50d64755a3ab78dcec4019b", "initial_scene_sha256": "0f74bb23ee9931bf12e0ddad3edd4629617c4640488ca6ff3f823520784e8d7e", "layout_stratum": 0, "native_episode_index": 1, "object_variant_map": {"distractor_0": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "distractor_1": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "holder": {"body_scale": [0.56, 0.45, 0.56], "category": "pen_holder", "object_id": "pen_holder_meshy_076", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "variant_id": "pen_holder_meshy_076_v000"}, "pen": {"body_scale": [1, 1.6, 1.6], "category": "pen", "object_id": "pen_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "variant_id": "pen_official_001_v000"}}, "official_success": true, "physical_trace_sha256": "9a6acf4bf860cb1a03382a9094b446536547a9673e7d0b987b4bdc61ebe3f4ed", "recipe_profile_id": "items_handover_profile_e7037c1630f84491", "scene_profile_id": "49fabf9ded00973ac17b01c0", "seed": 70075432, "shard_id": "items_handover_shard_000508", "state_action_sha256": "e64f24af11796d29fcdd4ad20dd7e356779e23051dcfaccc95156be3e1486a74", "strict_quality": {"checks": {"complete_initial_and_scene_evidence": true, "inserted_section_inside_cavity": true, "object_released_last_20": true, "pen_holder_contact_last_20": true, "pen_moved": true, "pen_stable": true, "pen_tip_in_calibrated_holder_cavity": true, "physical_handover_contacts": true, "required_insertion_depth": true}, "passed": true, "quality_policy": "task2000_v1"}, "task": "items_handover"}
|
| 3 |
+
{"episode_id": "items_handover_00002433", "fps": 25, "frames": 437, "initial_scene_file_sha256": "d785250c7d98d1583aef8f2d31e0122f179963b3c01736c804a6b31b2db9d5ab", "initial_scene_sha256": "fc1ce181c7e645470d9d3ac9abe401a405491a0266e211f601a04b093a4437f7", "layout_stratum": 0, "native_episode_index": 2, "object_variant_map": {"distractor_0": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "distractor_1": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "holder": {"body_scale": [0.56, 0.45, 0.56], "category": "pen_holder", "object_id": "pen_holder_meshy_076", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "variant_id": "pen_holder_meshy_076_v000"}, "pen": {"body_scale": [1, 1.6, 1.6], "category": "pen", "object_id": "pen_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "variant_id": "pen_official_001_v000"}}, "official_success": true, "physical_trace_sha256": "9669d6191edc23732b47dcc7e2a3812c5b65924f42b037bd803812b1475e7bca", "recipe_profile_id": "items_handover_profile_e7037c1630f84491", "scene_profile_id": "49fabf9ded00973ac17b01c0", "seed": 70075433, "shard_id": "items_handover_shard_000508", "state_action_sha256": "37ba3aa8d51bd39862b995d24783dee70c95fb4b6f58c196b31417dfcca0b51f", "strict_quality": {"checks": {"complete_initial_and_scene_evidence": true, "inserted_section_inside_cavity": true, "object_released_last_20": true, "pen_holder_contact_last_20": true, "pen_moved": true, "pen_stable": true, "pen_tip_in_calibrated_holder_cavity": true, "physical_handover_contacts": true, "required_insertion_depth": true}, "passed": true, "quality_policy": "task2000_v1"}, "task": "items_handover"}
|
| 4 |
+
{"episode_id": "items_handover_00002434", "fps": 25, "frames": 437, "initial_scene_file_sha256": "ae5391f9248e87b2ae094ee8e5c44d7eb936ded7856e25e339815926d444ea1a", "initial_scene_sha256": "170bf7ec3bd2450e2d5f50b46f270d9bc1201b534b47a30df48b5e58eb846d77", "layout_stratum": 0, "native_episode_index": 3, "object_variant_map": {"distractor_0": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "distractor_1": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "holder": {"body_scale": [0.56, 0.45, 0.56], "category": "pen_holder", "object_id": "pen_holder_meshy_076", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "variant_id": "pen_holder_meshy_076_v000"}, "pen": {"body_scale": [1, 1.6, 1.6], "category": "pen", "object_id": "pen_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "variant_id": "pen_official_001_v000"}}, "official_success": true, "physical_trace_sha256": "f3802e3149e27814a4b1210aaa0e9d19cdef51564ae44368c4e470976fdf5060", "recipe_profile_id": "items_handover_profile_e7037c1630f84491", "scene_profile_id": "49fabf9ded00973ac17b01c0", "seed": 70075434, "shard_id": "items_handover_shard_000508", "state_action_sha256": "950037d01e641491bcf63fc799b58efaa8ffcb3a5aabc3d84523ee1d8a309b37", "strict_quality": {"checks": {"complete_initial_and_scene_evidence": true, "inserted_section_inside_cavity": true, "object_released_last_20": true, "pen_holder_contact_last_20": true, "pen_moved": true, "pen_stable": true, "pen_tip_in_calibrated_holder_cavity": true, "physical_handover_contacts": true, "required_insertion_depth": true}, "passed": true, "quality_policy": "task2000_v1"}, "task": "items_handover"}
|
| 5 |
+
{"episode_id": "items_handover_00002435", "fps": 25, "frames": 437, "initial_scene_file_sha256": "6b6ee4f30dff2f67f3232fe4531837a8ebaed44ad652768db40828a02f42f5a8", "initial_scene_sha256": "4a275860f17e5774002d3031a278b35ee2ee06e0f0ee8f0d1bb3a770921a8858", "layout_stratum": 0, "native_episode_index": 4, "object_variant_map": {"distractor_0": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "distractor_1": {"body_scale": [1.0, 1.0, 1.0], "category": "beaker", "object_id": "beaker_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Beaker/beaker.ply", "source_sha256": "37db39ab6c358617e3d8699306208f8ac9dc4aee96ef91295253f311f0413009", "variant_id": "beaker_official_001_v002"}, "holder": {"body_scale": [0.56, 0.45, 0.56], "category": "pen_holder", "object_id": "pen_holder_meshy_076", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_third_native_CPU_v1/mesh_local.obj", "source_sha256": "44104b955512b6f373fbab0208baf089a865cb379975ce809ec8243dec538cc5", "variant_id": "pen_holder_meshy_076_v000"}, "pen": {"body_scale": [1, 1.6, 1.6], "category": "pen", "object_id": "pen_official_001", "source_mesh": "/home/graphvix/projects/RoboSynChallenge/assets/Pen/the_pen.obj", "source_sha256": "7789d1b8525c7e8de978b33962f6e732d2fbcc9350fd652a433ec833cf203bcb", "variant_id": "pen_official_001_v000"}}, "official_success": true, "physical_trace_sha256": "85d0049fb2932c6dd7ad4f2e04e7a85a2b5ebfe335f6d79a74a430dbb7a85760", "recipe_profile_id": "items_handover_profile_e7037c1630f84491", "scene_profile_id": "49fabf9ded00973ac17b01c0", "seed": 70075435, "shard_id": "items_handover_shard_000508", "state_action_sha256": "cc64c794a73911a86c2fd95650d6f3357f389c14c16a35bfff1b20dff47116be", "strict_quality": {"checks": {"complete_initial_and_scene_evidence": true, "inserted_section_inside_cavity": true, "object_released_last_20": true, "pen_holder_contact_last_20": true, "pen_moved": true, "pen_stable": true, "pen_tip_in_calibrated_holder_cavity": true, "physical_handover_contacts": true, "required_insertion_depth": true}, "passed": true, "quality_policy": "task2000_v1"}, "task": "items_handover"}
|
items_handover_aug_r001/provenance/source_release/gym_config.json
ADDED
|
@@ -0,0 +1,1069 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"id": "ItemsHandover",
|
| 3 |
+
"max_episodes": 5,
|
| 4 |
+
"max_episode_steps": 500,
|
| 5 |
+
"env": {
|
| 6 |
+
"events": {
|
| 7 |
+
"random_light": {
|
| 8 |
+
"func": "randomize_light",
|
| 9 |
+
"mode": "interval",
|
| 10 |
+
"interval_step": 10,
|
| 11 |
+
"params": {
|
| 12 |
+
"entity_cfg": {
|
| 13 |
+
"uid": "light_0"
|
| 14 |
+
},
|
| 15 |
+
"position_range": [
|
| 16 |
+
[
|
| 17 |
+
-0.5,
|
| 18 |
+
-0.5,
|
| 19 |
+
2
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
0.5,
|
| 23 |
+
0.5,
|
| 24 |
+
2
|
| 25 |
+
]
|
| 26 |
+
],
|
| 27 |
+
"color_range": [
|
| 28 |
+
[
|
| 29 |
+
0.6,
|
| 30 |
+
0.6,
|
| 31 |
+
0.6
|
| 32 |
+
],
|
| 33 |
+
[
|
| 34 |
+
1,
|
| 35 |
+
1,
|
| 36 |
+
1
|
| 37 |
+
]
|
| 38 |
+
],
|
| 39 |
+
"intensity_range": [
|
| 40 |
+
10.0,
|
| 41 |
+
30.0
|
| 42 |
+
]
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"random_table_height": {
|
| 46 |
+
"func": "randomize_rigid_object_pose",
|
| 47 |
+
"mode": "reset",
|
| 48 |
+
"params": {
|
| 49 |
+
"entity_cfg": {
|
| 50 |
+
"uid": "table"
|
| 51 |
+
},
|
| 52 |
+
"position_range": [
|
| 53 |
+
[
|
| 54 |
+
0.0,
|
| 55 |
+
0.0,
|
| 56 |
+
-0.02
|
| 57 |
+
],
|
| 58 |
+
[
|
| 59 |
+
0.0,
|
| 60 |
+
0.0,
|
| 61 |
+
0.025
|
| 62 |
+
]
|
| 63 |
+
],
|
| 64 |
+
"relative_position": true
|
| 65 |
+
}
|
| 66 |
+
},
|
| 67 |
+
"random_camera_high_intrinsics": {
|
| 68 |
+
"func": "randomize_camera_intrinsics",
|
| 69 |
+
"mode": "reset",
|
| 70 |
+
"params": {
|
| 71 |
+
"entity_cfg": {
|
| 72 |
+
"uid": "cam_high"
|
| 73 |
+
},
|
| 74 |
+
"focal_x_range": [
|
| 75 |
+
-50,
|
| 76 |
+
50
|
| 77 |
+
],
|
| 78 |
+
"focal_y_range": [
|
| 79 |
+
-50,
|
| 80 |
+
50
|
| 81 |
+
]
|
| 82 |
+
}
|
| 83 |
+
},
|
| 84 |
+
"random_camera_high_extrinsics": {
|
| 85 |
+
"func": "randomize_camera_extrinsics",
|
| 86 |
+
"mode": "reset",
|
| 87 |
+
"params": {
|
| 88 |
+
"entity_cfg": {
|
| 89 |
+
"uid": "cam_high"
|
| 90 |
+
},
|
| 91 |
+
"pos_range": [
|
| 92 |
+
[
|
| 93 |
+
0.0,
|
| 94 |
+
-0.02,
|
| 95 |
+
0.0
|
| 96 |
+
],
|
| 97 |
+
[
|
| 98 |
+
0.02,
|
| 99 |
+
0.02,
|
| 100 |
+
0.02
|
| 101 |
+
]
|
| 102 |
+
],
|
| 103 |
+
"euler_range": [
|
| 104 |
+
[
|
| 105 |
+
-0.175,
|
| 106 |
+
-0.175,
|
| 107 |
+
-0.175
|
| 108 |
+
],
|
| 109 |
+
[
|
| 110 |
+
0.175,
|
| 111 |
+
0.175,
|
| 112 |
+
0.175
|
| 113 |
+
]
|
| 114 |
+
]
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"random_robot_init_eef_pose": {
|
| 118 |
+
"func": "randomize_robot_eef_pose",
|
| 119 |
+
"mode": "reset",
|
| 120 |
+
"params": {
|
| 121 |
+
"entity_cfg": {
|
| 122 |
+
"uid": "CobotMagic",
|
| 123 |
+
"control_parts": [
|
| 124 |
+
"left_arm",
|
| 125 |
+
"right_arm"
|
| 126 |
+
]
|
| 127 |
+
},
|
| 128 |
+
"position_range": [
|
| 129 |
+
[
|
| 130 |
+
-0.01,
|
| 131 |
+
-0.01,
|
| 132 |
+
-0.01
|
| 133 |
+
],
|
| 134 |
+
[
|
| 135 |
+
0.01,
|
| 136 |
+
0.01,
|
| 137 |
+
0
|
| 138 |
+
]
|
| 139 |
+
]
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"random_robot_qpos": {
|
| 143 |
+
"func": "randomize_robot_qpos",
|
| 144 |
+
"mode": "reset",
|
| 145 |
+
"params": {
|
| 146 |
+
"entity_cfg": {
|
| 147 |
+
"uid": "CobotMagic"
|
| 148 |
+
},
|
| 149 |
+
"qpos_range": [
|
| 150 |
+
[
|
| 151 |
+
-0.06,
|
| 152 |
+
-0.05,
|
| 153 |
+
-0.06,
|
| 154 |
+
-0.06,
|
| 155 |
+
-0.05,
|
| 156 |
+
-0.05,
|
| 157 |
+
-0.06,
|
| 158 |
+
-0.05,
|
| 159 |
+
-0.06,
|
| 160 |
+
-0.06,
|
| 161 |
+
-0.05,
|
| 162 |
+
-0.05
|
| 163 |
+
],
|
| 164 |
+
[
|
| 165 |
+
0.06,
|
| 166 |
+
0.05,
|
| 167 |
+
0.06,
|
| 168 |
+
0.06,
|
| 169 |
+
0.05,
|
| 170 |
+
0.05,
|
| 171 |
+
0.06,
|
| 172 |
+
0.05,
|
| 173 |
+
0.06,
|
| 174 |
+
0.06,
|
| 175 |
+
0.05,
|
| 176 |
+
0.05
|
| 177 |
+
]
|
| 178 |
+
],
|
| 179 |
+
"relative_qpos": true,
|
| 180 |
+
"joint_ids": [
|
| 181 |
+
0,
|
| 182 |
+
1,
|
| 183 |
+
2,
|
| 184 |
+
3,
|
| 185 |
+
4,
|
| 186 |
+
5,
|
| 187 |
+
6,
|
| 188 |
+
7,
|
| 189 |
+
8,
|
| 190 |
+
9,
|
| 191 |
+
10,
|
| 192 |
+
11
|
| 193 |
+
]
|
| 194 |
+
}
|
| 195 |
+
},
|
| 196 |
+
"random_material": {
|
| 197 |
+
"func": "randomize_visual_material",
|
| 198 |
+
"mode": "interval",
|
| 199 |
+
"interval_step": 10,
|
| 200 |
+
"params": {
|
| 201 |
+
"entity_cfg": {
|
| 202 |
+
"uid": "table"
|
| 203 |
+
},
|
| 204 |
+
"random_texture_prob": 0.5,
|
| 205 |
+
"texture_path": "assets/background_texture/100",
|
| 206 |
+
"base_color_range": [
|
| 207 |
+
[
|
| 208 |
+
0.2,
|
| 209 |
+
0.2,
|
| 210 |
+
0.2
|
| 211 |
+
],
|
| 212 |
+
[
|
| 213 |
+
1.0,
|
| 214 |
+
1.0,
|
| 215 |
+
1.0
|
| 216 |
+
]
|
| 217 |
+
]
|
| 218 |
+
}
|
| 219 |
+
},
|
| 220 |
+
"random_robot_material": {
|
| 221 |
+
"func": "randomize_visual_material",
|
| 222 |
+
"mode": "interval",
|
| 223 |
+
"interval_step": 10,
|
| 224 |
+
"params": {
|
| 225 |
+
"entity_cfg": {
|
| 226 |
+
"uid": "CobotMagic",
|
| 227 |
+
"link_names": [
|
| 228 |
+
".*"
|
| 229 |
+
]
|
| 230 |
+
},
|
| 231 |
+
"random_texture_prob": 0.5,
|
| 232 |
+
"texture_path": "assets/background_texture/100",
|
| 233 |
+
"base_color_range": [
|
| 234 |
+
[
|
| 235 |
+
0.2,
|
| 236 |
+
0.2,
|
| 237 |
+
0.2
|
| 238 |
+
],
|
| 239 |
+
[
|
| 240 |
+
1.0,
|
| 241 |
+
1.0,
|
| 242 |
+
1.0
|
| 243 |
+
]
|
| 244 |
+
]
|
| 245 |
+
}
|
| 246 |
+
},
|
| 247 |
+
"random_plane_material": {
|
| 248 |
+
"func": "randomize_visual_material",
|
| 249 |
+
"mode": "interval",
|
| 250 |
+
"interval_step": 10,
|
| 251 |
+
"params": {
|
| 252 |
+
"entity_cfg": {
|
| 253 |
+
"uid": "default_plane"
|
| 254 |
+
},
|
| 255 |
+
"random_texture_prob": 0.5,
|
| 256 |
+
"texture_path": "assets/background_texture/100",
|
| 257 |
+
"base_color_range": [
|
| 258 |
+
[
|
| 259 |
+
0.2,
|
| 260 |
+
0.2,
|
| 261 |
+
0.2
|
| 262 |
+
],
|
| 263 |
+
[
|
| 264 |
+
1.0,
|
| 265 |
+
1.0,
|
| 266 |
+
1.0
|
| 267 |
+
]
|
| 268 |
+
]
|
| 269 |
+
}
|
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| 720 |
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|
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|
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| 1053 |
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| 1061 |
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|
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|
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|
| 1069 |
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}
|
items_handover_aug_r001/provenance/source_release/production_metadata.json
ADDED
|
@@ -0,0 +1,299 @@
|
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| 33 |
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"content_sha256": "456717bbb69ec7bbae8f942aadf7d147353dd78b97982c23779cb3e07a2b442e",
|
| 294 |
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"archive_sha256": "00b04809da8fb7e735bd0dab4e5a02726cc1c230a86fcb5e004dd85c588757b7",
|
| 295 |
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"archive_path": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/local_sources/sources_456717bbb69ec7bb.tar.gz",
|
| 296 |
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"manifest_path": "/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/local_sources/source_snapshot_456717bbb69ec7bb.json",
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| 297 |
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"manifest_sha256": "11e1e126bff3a6b1cb1118c1c991ef0c58e7a17dab2572e9a32770e10a73edc8"
|
| 298 |
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|
| 299 |
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}
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items_handover_aug_r001/provenance/source_release/profile.json
ADDED
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@@ -0,0 +1,216 @@
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|
| 1 |
+
{
|
| 2 |
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"profile": {
|
| 3 |
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"id": "items_handover_profile_e7037c1630f84491",
|
| 4 |
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"task": "items_handover",
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| 5 |
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"asset_id": "mh076nativev1_task2000qa_075ad511b630",
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| 6 |
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| 7 |
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| 9 |
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},
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| 10 |
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"asset_id": "mh076nativev1_task2000qa_075ad511b630",
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| 11 |
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"collector_entrypoint": "scripts/data_generation/collect_virtual_expert.py",
|
| 12 |
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"source_hashes": {
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"/home/graphvix/projects/RoboSynChallenge/web/runs/data_generation/task2000_v1/meshy/reference_pilot_001/holder_admission_v1/mesh_local.obj": "6ea45e15d7ed2f265f524c3b7d25e20f98ac0fc4ea725255c6d5bdc009cab54a",
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}
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items_handover_aug_r001/provenance/source_release/release_validation.json
ADDED
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|
items_handover_aug_r001/provenance/source_validation.json
ADDED
|
@@ -0,0 +1,222 @@
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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|
| 222 |
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items_handover_aug_r001/release_manifest.json
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