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f87f8b9
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Parent(s): 7ae5535
Metadata cleanup: drop taxonomy attribution (egoSample) and source h5_path (teleopSample)
Browse files- ROLLBACK.md +8 -0
- egoSample/faberu.html +1 -1
- egoSample/jizhi.html +1 -1
- teleopSample/drink_ep0.html +0 -0
- teleopSample/drink_ep0.meta.json +0 -1
- teleopSample/drink_ep1.html +0 -0
- teleopSample/drink_ep1.meta.json +0 -1
- teleopSample/mem_ep0.html +0 -0
- teleopSample/mem_ep0.meta.json +0 -1
- teleopSample/mem_ep1.html +0 -0
- teleopSample/mem_ep1.meta.json +0 -1
- teleopSample/sort_ep0.html +0 -0
- teleopSample/sort_ep0.meta.json +0 -1
- teleopSample/sort_ep1.html +0 -0
- teleopSample/sort_ep1.meta.json +0 -1
- teleopSample/wipe_ep0.html +0 -0
- teleopSample/wipe_ep0.meta.json +0 -1
- teleopSample/wipe_ep1.html +0 -0
- teleopSample/wipe_ep1.meta.json +0 -1
ROLLBACK.md
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Rollback (folder rename 2026-10-21):
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- dataset faberu/egoSample: before=2a30eda9, after=6175f7f -> git revert 6175f7f in ds/ clone and push (renames only, no LFS re-upload)
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- Space SampleViewer: before=164dee51 (autoplay fix), after=7ae5535 -> git revert 7ae5535 in sp/ clone and push
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- map: rename_map.json
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Rollback: Space faradayfuture/SampleViewer egoSample autoplay fix (commit 164dee51)
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- previous good commit: 8103ab674298d1b31cd505d2d187c4bca4ea697d
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- originals: orig/ (raw from resolve/8103ab67)
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- revert: HfApi().upload_folder(repo_id='faradayfuture/SampleViewer', repo_type='space', folder_path='orig', path_in_repo='egoSample', commit_message='revert autoplay fix')
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egoSample/faberu.html
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@@ -78,7 +78,7 @@ header h1{margin:0 0 3px;font-size:19px}
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<body>
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<div class="main" id="main"></div>
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<link rel="modulepreload" href="https://cdn.jsdelivr.net/npm/three@0.160.0/build/three.module.js"><link rel="modulepreload" href="https://cdn.jsdelivr.net/npm/three@0.160.0/examples/jsm/controls/OrbitControls.js">
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<script id="D" type="application/json">{"eps": [{"slug": "restock_20260916_ep000", "dataset_dir": "faberu_shelf_restocking_ep000", "task": "restock_20260916", "leaf": "Restocking a retail shelf", "leaf_instr": "Fetch a bottle from the table and restock the shelf", "mode": "VR teleoperation, mobile manipulation", "perspective": "Robot egocentric", "planned": true, "rationale": "We can collect data from robots deployed in real-world working scenes. This episode is included in Ego Sample to showcase that sensor capability: a deployed robot captures rich, synchronized multi-sensor data (stereo, fisheye and color cameras, metric depth, dual lidar, IMU, odometry, joint and teleop streams). Robot-egocentric capture is a planned data line.", "ep": 0, "task_name": "Retail shelf restocking (mobile manipulation)", "instruction": "Drive from the shelf to the table, pick up the bottle with the right gripper, carry it back and place it on the shelf", "duration": 80.4, "nframes": 2412, "fps": 30, "hw": "Faber U", "vendor": "FF", "region": "US", "tags": ["US"], "taxo": {"environment_l1": "Retail and Consumer Goods", "environment_l2": "Grocery Store", "environment_l3": "Shelf Aisle", "naics_primary_code": "445110", "naics_primary_title": "Supermarkets and Other Grocery Retailers", "
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<script>
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const D=JSON.parse(document.getElementById('D').textContent);
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const EPS=D.eps, SKC=D.skc, HF=D.hf;
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<body>
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<div class="main" id="main"></div>
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<link rel="modulepreload" href="https://cdn.jsdelivr.net/npm/three@0.160.0/build/three.module.js"><link rel="modulepreload" href="https://cdn.jsdelivr.net/npm/three@0.160.0/examples/jsm/controls/OrbitControls.js">
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<script id="D" type="application/json">{"eps": [{"slug": "restock_20260916_ep000", "dataset_dir": "faberu_shelf_restocking_ep000", "task": "restock_20260916", "leaf": "Restocking a retail shelf", "leaf_instr": "Fetch a bottle from the table and restock the shelf", "mode": "VR teleoperation, mobile manipulation", "perspective": "Robot egocentric", "planned": true, "rationale": "We can collect data from robots deployed in real-world working scenes. This episode is included in Ego Sample to showcase that sensor capability: a deployed robot captures rich, synchronized multi-sensor data (stereo, fisheye and color cameras, metric depth, dual lidar, IMU, odometry, joint and teleop streams). Robot-egocentric capture is a planned data line.", "ep": 0, "task_name": "Retail shelf restocking (mobile manipulation)", "instruction": "Drive from the shelf to the table, pick up the bottle with the right gripper, carry it back and place it on the shelf", "duration": 80.4, "nframes": 2412, "fps": 30, "hw": "Faber U", "vendor": "FF", "region": "US", "tags": ["US"], "taxo": {"environment_l1": "Retail and Consumer Goods", "environment_l2": "Grocery Store", "environment_l3": "Shelf Aisle", "naics_primary_code": "445110", "naics_primary_title": "Supermarkets and Other Grocery Retailers", "collection_setup": "staged retail shelf in a lab space", "skill_group": "Inventory & Stock Management", "job_family": "Stock clerk", "task_difficulty": "Medium"}, "n_segments": 22, "skills": {"Navigate": 7, "Wait": 3, "Rotate": 3, "Open": 2, "Retract": 2, "Close": 1, "Pick": 1, "Lift": 1, "Reach": 1, "Place": 1}, "skill_list": ["Close", "Lift", "Navigate", "Open", "Pick", "Place", "Reach", "Retract", "Rotate", "Wait"], "qc": {"status": "pass", "total": 10, "passed": 8, "warnings": 2, "failures": 0}, "state_dim": 27, "action_dim": 19, "depth_valid": 0.847, "lidar_scans": [810, 810], "segments": [{"skill": "Wait", "label": "The robot stands in front of the retail shelf while the teleoperator gets ready", "ts": 0.0, "te": 13.0, "mistake": false}, {"skill": "Close", "label": "The right gripper closes to its travel position", "ts": 13.0, "te": 14.25, "mistake": false}, {"skill": "Navigate", "label": "The robot backs away from the shelf", "ts": 14.25, "te": 16.75, "mistake": false}, {"skill": "Rotate", "label": "The robot turns about 95 degrees right to face the work table", "ts": 16.75, "te": 20.0, "mistake": false}, {"skill": "Wait", "label": "The robot pauses facing the table", "ts": 20.0, "te": 21.25, "mistake": false}, {"skill": "Navigate", "label": "The robot drives forward toward the table", "ts": 21.25, "te": 23.25, "mistake": false}, {"skill": "Rotate", "label": "The robot corrects its heading toward the table", "ts": 23.25, "te": 25.25, "mistake": false}, {"skill": "Navigate", "label": "The robot drives up to the table edge and stops", "ts": 25.25, "te": 32.0, "mistake": false}, {"skill": "Open", "label": "The right gripper opens in front of the bottle on the table", "ts": 32.0, "te": 34.0, "mistake": false}, {"skill": "Pick", "label": "The right arm reaches the bottle on the table and the gripper closes on it", "ts": 34.0, "te": 40.25, "mistake": false}, {"skill": "Lift", "label": "The right arm lifts the bottle and retracts it close to the body", "ts": 40.25, "te": 44.25, "mistake": false}, {"skill": "Navigate", "label": "The robot drives back toward the shelf while holding the bottle", "ts": 44.25, "te": 48.5, "mistake": false}, {"skill": "Rotate", "label": "The robot turns about 95 degrees left to face the shelf", "ts": 48.5, "te": 52.0, "mistake": false}, {"skill": "Navigate", "label": "The robot aligns itself with the shelf", "ts": 52.0, "te": 54.75, "mistake": false}, {"skill": "Reach", "label": "The right arm raises the bottle toward the middle shelf", "ts": 54.75, "te": 61.0, "mistake": false}, {"skill": "Navigate", "label": "The robot repositions sideways along the shelf to reach a free slot", "ts": 61.0, "te": 65.75, "mistake": false}, {"skill": "Place", "label": "The right arm moves the bottle onto the middle shelf", "ts": 65.75, "te": 70.25, "mistake": false}, {"skill": "Open", "label": "The right gripper opens to release the bottle on the shelf", "ts": 70.25, "te": 71.5, "mistake": false}, {"skill": "Retract", "label": "The right arm withdraws from the shelf", "ts": 71.5, "te": 74.0, "mistake": false}, {"skill": "Navigate", "label": "The robot backs away from the shelf and straightens up", "ts": 74.0, "te": 76.75, "mistake": false}, {"skill": "Retract", "label": "Both arms return to the home pose", "ts": 76.75, "te": 78.5, "mistake": false}, {"skill": "Wait", "label": "The robot stops; episode ends", "ts": 78.5, "te": 80.4, "mistake": false}]}], "skc": {"Clip": "#4f83cc", "Close": "#e0913a", "CloseBox": "#5aa469", "Cut": "#c0504d", "Dip": "#8064a2", "Drop": "#4bacc6", "Flip": "#d98594", "Fold": "#9b8f2e", "HandOver": "#7f8fa6", "Hang": "#674ea7", "Insert": "#3d9970", "Knead": "#b8860b", "Open": "#a0522d", "Paint": "#2e8b8b", "Pick": "#b5651d", "Place": "#6a5acd", "Plug": "#556b2f", "Pour": "#8b3a62", "Press": "#487eb0", "PressButton": "#cc8e35", "Pull": "#6b8e23", "Rinse": "#9370db", "Rotate": "#20b2aa", "Scan": "#cd853f", "Scoop": "#4f83cc", "Screw (tighten)": "#e0913a", "Smear": "#5aa469", "Stack": "#c0504d", "Stir": "#8064a2", "Straighten": "#4bacc6", "Takedown": "#d98594", "Takeout (remove)": "#9b8f2e", "Tear": "#7f8fa6", "Wipe": "#674ea7", "dip": "#3d9970", "plug": "#b8860b", "Wait": "#5d6574", "Navigate": "#3fa7d6", "Lift": "#e07a5f", "Reach": "#81b29a", "Retract": "#b388eb"}, "hf": "https://huggingface.co/datasets/faradayfuture/egoSample"}</script>
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<script>
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const D=JSON.parse(document.getElementById('D').textContent);
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const EPS=D.eps, SKC=D.skc, HF=D.hf;
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egoSample/jizhi.html
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@@ -88,7 +88,7 @@ header h1{margin:0 0 3px;font-size:19px}
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<div class="main" id="main"></div>
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</div>
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<script id="D" type="application/json">{"eps": [{"slug": "craft_20260629_sticker_ep000", "dataset_dir": "jizhi_keychain_crafting_ep000", "task": "craft_20260629_sticker", "ep": 0, "task_name": "Photo keychain crafting station", "instruction": "Trim photo stickers, mount them in acrylic keychain frames and round badge cases, and attach key rings", "duration": 79.0, "nframes": 2370, "fps": 30, "session": "session_00017", "location": "irvine", "device": "aef452889295f829", "hw": "Jizhi Stereo", "taxo": {"environment_l1": "Creative Workshops", "environment_l2": "Handcraft Workshop", "environment_l3": "Craft Station", "skill_group": "Assembly & Installation", "job_family": "Assembler", "task_difficulty": "Medium", "naics_primary_code": "339999", "naics_primary_title": "All Other Miscellaneous Manufacturing"
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<script>
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const D = JSON.parse(document.getElementById('D').textContent);
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const EPS = D.eps, SKC = D.skc, HF = D.hf;
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<div class="main" id="main"></div>
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</div>
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<script id="D" type="application/json">{"eps": [{"slug": "craft_20260629_sticker_ep000", "dataset_dir": "jizhi_keychain_crafting_ep000", "task": "craft_20260629_sticker", "ep": 0, "task_name": "Photo keychain crafting station", "instruction": "Trim photo stickers, mount them in acrylic keychain frames and round badge cases, and attach key rings", "duration": 79.0, "nframes": 2370, "fps": 30, "session": "session_00017", "location": "irvine", "device": "aef452889295f829", "hw": "Jizhi Stereo", "taxo": {"environment_l1": "Creative Workshops", "environment_l2": "Handcraft Workshop", "environment_l3": "Craft Station", "skill_group": "Assembly & Installation", "job_family": "Assembler", "task_difficulty": "Medium", "naics_primary_code": "339999", "naics_primary_title": "All Other Miscellaneous Manufacturing"}, "region": "US", "tags": ["US"], "n_segments": 26, "skills": {"Place": 9, "Hang": 7, "Pick": 3, "Insert": 3, "Tear": 2, "Straighten": 1, "Pull": 1}, "skill_list": ["Hang", "Insert", "Pick", "Place", "Pull", "Straighten", "Tear"], "qc": {"status": "pass", "total": 10, "passed": 10, "warnings": 0, "failures": 0}, "state_dim": 18, "codebase_version": "v3.0", "robot_type": "ego_stereo", "imu_valid": 1.0, "measured_fps": 29.94, "segments": [{"skill": "Tear", "label": "Both hands peel the backing paper off a round photo sticker", "ts": 0.0, "te": 3.5, "mistake": false}, {"skill": "Pick", "label": "The right hand picks up a round badge case from the right side of the table", "ts": 3.5, "te": 5.75, "mistake": false}, {"skill": "Insert", "label": "Both hands insert the round photo into the badge case", "ts": 5.75, "te": 10.0, "mistake": false}, {"skill": "Tear", "label": "Both hands peel the yellow backing paper off the next round photo sticker", "ts": 10.0, "te": 20.5, "mistake": false}, {"skill": "Insert", "label": "Both hands fit the round photo into the badge case and press it closed", "ts": 20.5, "te": 22.75, "mistake": false}, {"skill": "Place", "label": "The right hand places the finished round badge on the table and picks up another badge case", "ts": 22.75, "te": 24.0, "mistake": false}, {"skill": "Insert", "label": "Both hands press the round photo into the badge case", "ts": 24.0, "te": 29.25, "mistake": false}, {"skill": "Place", "label": "The right hand places the finished round badge at the top of the table", "ts": 29.25, "te": 30.5, "mistake": false}, {"skill": "Pick", "label": "Both hands pick up a finished square acrylic keychain frame from the top row", "ts": 30.5, "te": 32.25, "mistake": false}, {"skill": "Straighten", "label": "Both hands inspect and square up the acrylic keychain frame", "ts": 32.25, "te": 35.0, "mistake": false}, {"skill": "Place", "label": "Both hands set the keychain frames down in a row", "ts": 35.0, "te": 36.0, "mistake": false}, {"skill": "Hang", "label": "Both hands thread a key ring onto a square acrylic keychain frame", "ts": 36.0, "te": 41.75, "mistake": false}, {"skill": "Place", "label": "The left hand places the finished keychain at the top of the table", "ts": 41.75, "te": 43.0, "mistake": false}, {"skill": "Hang", "label": "Both hands open a key ring and attach it to the next keychain frame", "ts": 43.0, "te": 47.25, "mistake": false}, {"skill": "Pull", "label": "The right hand pulls the key ring to seat it on the frame", "ts": 47.25, "te": 49.0, "mistake": false}, {"skill": "Hang", "label": "Both hands thread the key ring through the keychain frame", "ts": 49.0, "te": 51.25, "mistake": false}, {"skill": "Place", "label": "The right hand places the finished keychain at the top right and picks up the next frame", "ts": 51.25, "te": 53.0, "mistake": false}, {"skill": "Hang", "label": "Both hands attach a key ring to the next acrylic keychain frame", "ts": 53.0, "te": 57.25, "mistake": false}, {"skill": "Place", "label": "The left hand places the finished keychain at the top of the table", "ts": 57.25, "te": 58.5, "mistake": false}, {"skill": "Hang", "label": "Both hands thread a key ring onto another keychain frame", "ts": 58.5, "te": 63.75, "mistake": false}, {"skill": "Pick", "label": "The right hand picks up a key ring from the right side of the table", "ts": 63.75, "te": 66.0, "mistake": false}, {"skill": "Hang", "label": "Both hands attach the key ring to the keychain frame", "ts": 66.0, "te": 67.75, "mistake": false}, {"skill": "Place", "label": "The right hand places the finished keychain at the top right of the table", "ts": 67.75, "te": 69.75, "mistake": false}, {"skill": "Hang", "label": "Both hands thread a key ring onto the last keychain frame", "ts": 69.75, "te": 75.0, "mistake": false}, {"skill": "Place", "label": "The right hand places the finished keychain at the top of the table", "ts": 75.0, "te": 76.25, "mistake": false}, {"skill": "Place", "label": "The right hand arranges the finished keychains at the top right of the table", "ts": 76.25, "te": 79.0, "mistake": false}]}], "skc": {"Clip": "#4f83cc", "Close": "#e0913a", "CloseBox": "#5aa469", "Cut": "#c0504d", "Dip": "#8064a2", "Drop": "#4bacc6", "Flip": "#d98594", "Fold": "#9b8f2e", "HandOver": "#7f8fa6", "Hang": "#674ea7", "Insert": "#3d9970", "Knead": "#b8860b", "Open": "#a0522d", "Paint": "#2e8b8b", "Pick": "#b5651d", "Place": "#6a5acd", "Plug": "#556b2f", "Pour": "#8b3a62", "Press": "#487eb0", "PressButton": "#cc8e35", "Pull": "#6b8e23", "Rinse": "#9370db", "Rotate": "#20b2aa", "Scan": "#cd853f", "Scoop": "#4f83cc", "Screw (tighten)": "#e0913a", "Smear": "#5aa469", "Stack": "#c0504d", "Stir": "#8064a2", "Straighten": "#4bacc6", "Takedown": "#d98594", "Takeout (remove)": "#9b8f2e", "Tear": "#7f8fa6", "Wipe": "#674ea7", "dip": "#3d9970", "plug": "#b8860b"}, "hf": "https://huggingface.co/datasets/faradayfuture/egoSample"}</script>
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<script>
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const D = JSON.parse(document.getElementById('D').textContent);
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const EPS = D.eps, SKC = D.skc, HF = D.hf;
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teleopSample/drink_ep0.html
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teleopSample/drink_ep0.meta.json
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"fps": 30,
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"duration_s": 22.53,
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"high_level_instruction": "The robot is facing the countertop, where a bottle of beverage and a coaster are placed without interfering with each other.",
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"h5_path": "zhoupu://agibot-world/skild-demo/2026012001/proprio_stats/5530/2339256/proprio_stats.h5",
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"instruction": "Pick up the green beverage on the table with the right arm.",
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"duration_s": 22.53,
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"high_level_instruction": "The robot is facing the countertop, where a bottle of beverage and a coaster are placed without interfering with each other.",
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"instruction": "Pick up the green beverage on the table with the right arm.",
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"fps": 30,
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"duration_s": 18.23,
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"high_level_instruction": "The robot is facing the counter, where a bottle of beverage and a coaster are placed without interfering with each other.",
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"h5_path": "zhoupu://agibot-world/skild-demo/2026012001/proprio_stats/5530/2339633/proprio_stats.h5",
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"instruction": "Pick up the green beverage on the table with the right arm.",
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"high_level_instruction": "The robot is facing the counter, where a bottle of beverage and a coaster are placed without interfering with each other.",
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"instruction": "Pick up the green beverage on the table with the right arm.",
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"fps": 30,
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"duration_s": 25.63,
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"high_level_instruction": "Insert memory module",
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"h5_path": "zhoupu://agibot-world/skild-demo/2026012001/proprio_stats/5384/2323088/proprio_stats.h5",
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"instruction_segments": [
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{
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"instruction": "Insert the memory module into the nearest slot with the left arm.",
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"fps": 30,
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"duration_s": 25.63,
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"high_level_instruction": "Insert memory module",
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"instruction_segments": [
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"instruction": "Insert the memory module into the nearest slot with the left arm.",
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"fps": 30,
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"duration_s": 36.8,
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"high_level_instruction": "Insert the memory module.",
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"h5_path": "zhoupu://agibot-world/skild-demo/2026012001/proprio_stats/5384/2324674/proprio_stats.h5",
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"instruction": "Insert the memory module into the nearest slot with the left arm.",
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"duration_s": 36.8,
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"high_level_instruction": "Insert the memory module.",
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"duration_s": 36.77,
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"high_level_instruction": "1. Wipe off the stains on the table. 2. sorting garment bags.",
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"h5_path": "zhoupu://agibot-world/skild-demo/2026012002/proprio_stats/5374/2273215/proprio_stats.h5",
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"instruction_segments": [
|
| 13 |
{
|
| 14 |
"instruction": "The right arm picks up the pink garment bag from the material box and places it on the table.",
|
|
|
|
| 8 |
"fps": 30,
|
| 9 |
"duration_s": 36.77,
|
| 10 |
"high_level_instruction": "1. Wipe off the stains on the table. 2. sorting garment bags.",
|
|
|
|
| 11 |
"instruction_segments": [
|
| 12 |
{
|
| 13 |
"instruction": "The right arm picks up the pink garment bag from the material box and places it on the table.",
|
teleopSample/sort_ep1.html
CHANGED
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|
teleopSample/sort_ep1.meta.json
CHANGED
|
@@ -8,7 +8,6 @@
|
|
| 8 |
"fps": 30,
|
| 9 |
"duration_s": 31.2,
|
| 10 |
"high_level_instruction": "1. Wipe off the stains on the table. 2. sorting garment bags.",
|
| 11 |
-
"h5_path": "zhoupu://agibot-world/skild-demo/2026012002/proprio_stats/5374/2273693/proprio_stats.h5",
|
| 12 |
"instruction_segments": [
|
| 13 |
{
|
| 14 |
"instruction": "The right arm picks up the bag containing white clothes from the material box.",
|
|
|
|
| 8 |
"fps": 30,
|
| 9 |
"duration_s": 31.2,
|
| 10 |
"high_level_instruction": "1. Wipe off the stains on the table. 2. sorting garment bags.",
|
|
|
|
| 11 |
"instruction_segments": [
|
| 12 |
{
|
| 13 |
"instruction": "The right arm picks up the bag containing white clothes from the material box.",
|
teleopSample/wipe_ep0.html
CHANGED
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|
teleopSample/wipe_ep0.meta.json
CHANGED
|
@@ -8,7 +8,6 @@
|
|
| 8 |
"fps": 30,
|
| 9 |
"duration_s": 24.33,
|
| 10 |
"high_level_instruction": "1. Wipe off the stains on the table.2. sorting garment bags.",
|
| 11 |
-
"h5_path": "zhoupu://agibot-world/skild-demo/2026012001/proprio_stats/5374/2271886/proprio_stats.h5",
|
| 12 |
"instruction_segments": [
|
| 13 |
{
|
| 14 |
"instruction": "Use a sponge to wipe the stains off the table with your right arm.",
|
|
|
|
| 8 |
"fps": 30,
|
| 9 |
"duration_s": 24.33,
|
| 10 |
"high_level_instruction": "1. Wipe off the stains on the table.2. sorting garment bags.",
|
|
|
|
| 11 |
"instruction_segments": [
|
| 12 |
{
|
| 13 |
"instruction": "Use a sponge to wipe the stains off the table with your right arm.",
|
teleopSample/wipe_ep1.html
CHANGED
|
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|
|
|
teleopSample/wipe_ep1.meta.json
CHANGED
|
@@ -8,7 +8,6 @@
|
|
| 8 |
"fps": 30,
|
| 9 |
"duration_s": 26.47,
|
| 10 |
"high_level_instruction": "1. Wipe off the stains on the table.2. sorting garment bags.",
|
| 11 |
-
"h5_path": "zhoupu://agibot-world/skild-demo/2026012001/proprio_stats/5374/2272635/proprio_stats.h5",
|
| 12 |
"instruction_segments": [
|
| 13 |
{
|
| 14 |
"instruction": "The right arm used a sponge to wipe the stains off the table.",
|
|
|
|
| 8 |
"fps": 30,
|
| 9 |
"duration_s": 26.47,
|
| 10 |
"high_level_instruction": "1. Wipe off the stains on the table.2. sorting garment bags.",
|
|
|
|
| 11 |
"instruction_segments": [
|
| 12 |
{
|
| 13 |
"instruction": "The right arm used a sponge to wipe the stains off the table.",
|