Remove Track 1 ground-truth annotations
#3
by dzou-nv - opened
This view is limited to 50 files because it contains too many changes. See the raw diff here.
- README.md +1 -118
- track_1/README.md +9 -16
- track_1/data/chunk-000/episode_000000.parquet +2 -2
- track_1/data/chunk-000/episode_000001.parquet +2 -2
- track_1/data/chunk-000/episode_000002.parquet +2 -2
- track_1/data/chunk-000/episode_000003.parquet +2 -2
- track_1/data/chunk-000/episode_000004.parquet +2 -2
- track_1/data/chunk-000/episode_000005.parquet +2 -2
- track_1/data/chunk-000/episode_000006.parquet +2 -2
- track_1/data/chunk-000/episode_000007.parquet +2 -2
- track_1/data/chunk-000/episode_000008.parquet +2 -2
- track_1/data/chunk-000/episode_000009.parquet +2 -2
- track_1/data/chunk-000/episode_000010.parquet +2 -2
- track_1/data/chunk-000/episode_000011.parquet +2 -2
- track_1/data/chunk-000/episode_000012.parquet +2 -2
- track_1/data/chunk-000/episode_000013.parquet +2 -2
- track_1/data/chunk-000/episode_000014.parquet +2 -2
- track_1/data/chunk-000/episode_000015.parquet +2 -2
- track_1/data/chunk-000/episode_000016.parquet +2 -2
- track_1/data/chunk-000/episode_000017.parquet +2 -2
- track_1/data/chunk-000/episode_000018.parquet +2 -2
- track_1/data/chunk-000/episode_000019.parquet +2 -2
- track_1/data/chunk-000/episode_000020.parquet +2 -2
- track_1/data/chunk-000/episode_000021.parquet +2 -2
- track_1/data/chunk-000/episode_000022.parquet +2 -2
- track_1/data/chunk-000/episode_000023.parquet +2 -2
- track_1/data/chunk-000/episode_000024.parquet +2 -2
- track_1/data/chunk-000/episode_000025.parquet +2 -2
- track_1/data/chunk-000/episode_000026.parquet +2 -2
- track_1/data/chunk-000/episode_000027.parquet +2 -2
- track_1/data/chunk-000/episode_000028.parquet +2 -2
- track_1/data/chunk-000/episode_000029.parquet +2 -2
- track_2/tier_2_synthetic_noise/data/chunk-000/episode_000012.parquet → track_1/data/chunk-000/episode_000030.parquet +2 -2
- track_1/data/chunk-000/episode_000031.parquet +3 -0
- track_1/data/chunk-000/episode_000032.parquet +3 -0
- track_1/data/chunk-000/episode_000033.parquet +3 -0
- track_1/data/chunk-000/episode_000034.parquet +3 -0
- track_1/data/chunk-000/episode_000035.parquet +3 -0
- track_1/data/chunk-000/episode_000036.parquet +3 -0
- track_1/meta/episodes.jsonl +33 -26
- track_1/meta/episodes_metadata.jsonl +33 -26
- track_1/meta/episodes_stats.jsonl +2 -2
- track_1/meta/info.json +5 -5
- track_1/meta/tasks.jsonl +29 -18
- track_1/videos/chunk-000/observation.images.exo_camera/episode_000003.mp4 +2 -2
- track_1/videos/chunk-000/observation.images.exo_camera/episode_000004.mp4 +2 -2
- track_1/videos/chunk-000/observation.images.exo_camera/episode_000006.mp4 +2 -2
- track_1/videos/chunk-000/observation.images.exo_camera/episode_000007.mp4 +2 -2
- track_1/videos/chunk-000/observation.images.exo_camera/episode_000008.mp4 +2 -2
- track_1/videos/chunk-000/observation.images.exo_camera/episode_000009.mp4 +2 -2
README.md
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---
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license:
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pretty_name: Video to Data (V2D) Challenge Dataset
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tags:
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- robotics
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- robot-learning
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- manipulation
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- human-object-interaction
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- motion-capture
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- video
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- 4d-reconstruction
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- reinforcement-learning
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- egocentric-video
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---
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# Video to Data (V2D) Challenge Dataset
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## Dataset Description
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The **Video to Data (V2D) Challenge Dataset** is an NVIDIA-developed benchmark for studying the complete path from human demonstration video to physics-grounded robot behavior. It supports three coupled challenge tracks over shared manipulation tasks: **4D human-object interaction reconstruction**, **robotic grounding**, and **end-to-end egocentric transfer**.
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- [Challenge website](https://nvidia-isaac.github.io/video_to_data/v2d_challenge/)
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- [Starter toolkit](https://github.com/nvidia-isaac/video_to_data)
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- [Dataset repository](https://huggingface.co/datasets/nvidia/video_to_data_challenge)
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- Contact: [v2d_challenge@nvidia.com](mailto:v2d_challenge@nvidia.com)
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## Challenge Tracks
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| Track | Input | Goal | Evaluation summary |
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| --- | --- | --- | --- |
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| **Track 1: Reconstruction** | Monocular third-person RGB video | Recover the human, object pose, and object geometry as a metric 4D human-object interaction scene in a consistent world frame | Reconstruction accuracy and physical plausibility relative to the multi-view reference |
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| **Track 2: Robotic Grounding** | Third-person 4D human-object interaction trajectories at different input-noise tiers | Retarget the demonstration and learn an executable policy for the robotic embodiment and simulator | Object-tracking performance at each input tier |
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| **Track 3: Egocentric** | Egocentric human demonstration video | Produce an executable robot policy through either an explicit reconstruct-and-retarget pipeline or an implicit end-to-end method | Final results produced with the official evaluation script |
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### Track 1: Reconstruction
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Track 1 evaluates monocular 4D human-object interaction reconstruction under challenging conditions including occlusion, bimanual coordination, and long-horizon manipulation.
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Participants reconstruct:
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- the human body and hands;
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- object pose trajectories;
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- object geometry; and
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- metric scale.
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Track 1 is evaluated along two equally weighted axes:
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1. **Accuracy**
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- Chamfer distance to the multi-view human mesh
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- Chamfer distance to the multi-view object mesh
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2. **Physical plausibility**
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- Human-joint acceleration error
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- Object acceleration error
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- Contact penetration error
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### Track 2: Robotic Grounding
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Track 2 measures how upstream reconstruction quality affects human-to-robot transfer and downstream policy learning.
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The dataset provides three input tiers:
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1. **Tier 1 — Clean multi-view capture:** an upper-bound input for upstream reconstruction.
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2. **Tier 2 — Synthetic corruption:** trajectories with jitter, dropout, and contact errors sampled from Track 1 error distributions.
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3. **Tier 3 — Off-the-shelf reconstruction:** trajectories produced by current reconstruction methods.
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Each tier is scored separately. Metrics include **AUC**, **SP-SR**, **MP-SR**, and **MPPE**, as defined by the challenge evaluation protocol.
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### Track 3: Egocentric
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Track 3 evaluates the full pipeline from egocentric human video to robot behavior. The track is method-agnostic: participants may use an explicit reconstruction-and-retargeting pipeline, an end-to-end model, a pretrained vision-language-action model, a world-action model, or a hybrid approach.
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The NVIDIA-collected data includes human-object manipulation recordings and associated assets made available for development and evaluation. Depending on the released split, these assets may include:
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- egocentric videos;
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- motion-capture trajectories;
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- sequence metadata;
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- textured 3D object meshes; and
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- URDF object descriptions.
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Use `eval_e2e.py` from the starter toolkit to package the required reconstructions and recorded policy evaluations.
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## Download
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Install the Hugging Face Hub client:
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```bash
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python -m pip install -U "huggingface_hub"
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```
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Download the complete dataset repository while preserving its file structure:
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```bash
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hf download nvidia/video_to_data_challenge \
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--repo-type dataset \
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--local-dir ./video_to_data_challenge
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```
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If authentication is requested, first run:
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```bash
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hf auth login
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```
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The same operation can be performed from Python:
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```python
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="nvidia/video_to_data_challenge",
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repo_type="dataset",
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local_dir="./video_to_data_challenge",
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)
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```
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Large assets are stored using Hugging Face's large-file infrastructure. Make sure sufficient disk space is available before downloading the complete repository.
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## Support
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For challenge or dataset questions, contact [v2d_challenge@nvidia.com](mailto:v2d_challenge@nvidia.com). For software issues, use the issue tracker in the [Video to Data repository](https://github.com/nvidia-isaac/video_to_data/issues).
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---
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license: apache-2.0
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track_1/README.md
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# Track 1
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Video-only single-view human-object interaction sequences for object tracking. Track 1
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contains
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one static third-person RGB video, its physical camera view, the target object identifier
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and prompt, and the original action description.
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| Episodes |
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| Frames |
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| Rate | 30 fps |
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| Tasks |
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| Cameras | 1 stream per episode,
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| Target objects |
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## Layout
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The video path is determined from `meta/info.json` using `episode_index` and `video_key`.
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The `object` and `object_prompt` fields identify the object to track. The corresponding
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action description is resolved through the episode's `task_index` and
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`meta/tasks.jsonl`.
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## Video
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| Camera | Episodes |
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|---|---:|
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| `back_stereo_camera_left` |
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| `front_stereo_camera_left` | 9 |
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| `left_stereo_camera_left` |
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| `right_stereo_camera_left` | 5 |
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## LeRobot v2.1 indexes
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No human pose, body reconstruction, object pose, visibility annotation, or object mesh is
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included in the current revision.
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Episode indexes follow the 30-sequence selection order. Each of the 10 target objects has three episodes.
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RGB statistics for retained videos are preserved. For new videos, channel statistics use
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uniformly sampled frames (sample count `min(N, max(100, min(10000, floor(N**0.75))))`),
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area-downsampled to 154×116 and normalized to [0, 1]. This downsampling is used only
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for statistics; the distributed videos retain their original bytes and resolution.
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# Track 1
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Video-only single-view human-object interaction sequences for object tracking. Track 1
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contains 37 retained episodes from the FORM-HOI multiview export. Each episode provides
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one static third-person RGB video, its physical camera view, the target object identifier
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and prompt, and the original action description.
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| Episodes | 37 |
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| Frames | 25,856 (245–1034 per episode, mean 699) |
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| Rate | 30 fps |
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| Tasks | 33 original action descriptions |
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| Cameras | 1 stream per episode, 37 clips, 4 distinct physical cameras |
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| Target objects | 7 |
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## Layout
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The video path is determined from `meta/info.json` using `episode_index` and `video_key`.
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The `object` and `object_prompt` fields identify the object to track. The corresponding
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action description is resolved through the episode's unchanged `task_index` and
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`meta/tasks.jsonl`.
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## Video
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| Camera | Episodes |
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|---|---:|
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| `back_stereo_camera_left` | 8 |
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| `front_stereo_camera_left` | 9 |
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| `left_stereo_camera_left` | 15 |
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| `right_stereo_camera_left` | 5 |
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## LeRobot v2.1 indexes
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No human pose, body reconstruction, object pose, visibility annotation, or object mesh is
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included in the current revision.
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| 14 |
+
{"episode_index": 13, "length": 777, "tasks": ["Walk over to the iron on the floor and pick up the iron using both hands and rotate the iron as you walk within the bounding area and place it on the ground, step away when complete."]}
|
| 15 |
+
{"episode_index": 14, "length": 245, "tasks": ["Walk over to the iron on the white desk and touch the iron. Step away when complete."]}
|
| 16 |
+
{"episode_index": 15, "length": 816, "tasks": ["Walk over to the iron on the round table and pick it up with your right hand stand it up vertically. Pick up the iron with your left hand and set it down horizontally on the round table."]}
|
| 17 |
+
{"episode_index": 16, "length": 897, "tasks": ["Walk over to the iron on the floor and pick up the iron using both hands and roatate the iron as you walk within the bounding area. place on the ground Step away when complete."]}
|
| 18 |
+
{"episode_index": 17, "length": 664, "tasks": ["Walk over to the iron on the round table and pick it up with your left hand and set it down on the floor."]}
|
| 19 |
+
{"episode_index": 18, "length": 342, "tasks": ["Walk over to the iron on the white desk and push the iron away from you. Step away when complete."]}
|
| 20 |
+
{"episode_index": 19, "length": 378, "tasks": ["Walk to the white desk and crawl under it to the other end of the desk."]}
|
| 21 |
+
{"episode_index": 20, "length": 597, "tasks": ["Walk to the white desk, use both your hands to grasp on the edge of the table closest to you, and lower the desk to the ground."]}
|
| 22 |
+
{"episode_index": 21, "length": 906, "tasks": ["Walk around the desk while continuously wiping its surface with your hands."]}
|
| 23 |
+
{"episode_index": 22, "length": 577, "tasks": ["Walk to the white desk, use your left foot to push the desk."]}
|
| 24 |
+
{"episode_index": 23, "length": 577, "tasks": ["Walk the white desk and crawl under it to the other end of the desk."]}
|
| 25 |
+
{"episode_index": 24, "length": 720, "tasks": ["Walk to the white desk lying on its side. Place both hands on the tabletop and lift the desk back to its upright position."]}
|
| 26 |
+
{"episode_index": 25, "length": 606, "tasks": ["white desk right foot push."]}
|
| 27 |
+
{"episode_index": 26, "length": 966, "tasks": ["Walk a lap around the desk. Stop beside the desk, crouch down, and move underneath it."]}
|
| 28 |
+
{"episode_index": 27, "length": 763, "tasks": ["Walk to the white desk, use your right foot to push the desk."]}
|
| 29 |
+
{"episode_index": 28, "length": 833, "tasks": ["Walk to the white desk that is lying on its side. Place both hands on it and use them to carefully flip the desk onto the other side."]}
|
| 30 |
+
{"episode_index": 29, "length": 797, "tasks": ["Walk to the white desk, use both of your hands and pick up the desk slightly and move it to the side, and place it back to the ground."]}
|
| 31 |
+
{"episode_index": 30, "length": 415, "tasks": ["Walk to the white desk that is lying on its side. Place both hands on it and use them to carefully flip the desk onto the other side."]}
|
| 32 |
+
{"episode_index": 31, "length": 1034, "tasks": ["Walk around the desk while continuously wiping its surface with your hands."]}
|
| 33 |
+
{"episode_index": 32, "length": 559, "tasks": ["Walk to the white desk, use both of your hands and pick up the desk slightly and move it to the side, and place it back to the ground."]}
|
| 34 |
+
{"episode_index": 33, "length": 877, "tasks": ["Walk to the white desk, use both your hands to grasp on the edge of the table closest to you, and lower the desk to the ground."]}
|
| 35 |
+
{"episode_index": 34, "length": 588, "tasks": ["Walk over to the soup can on the white desk and grasp the soup can with one hand and flip on the white desk."]}
|
| 36 |
+
{"episode_index": 35, "length": 942, "tasks": ["Walk over to the disinfecting wipes on the round table using your right hand pick up the disinfecting wipes and walk within the bounding area and place on the ground."]}
|
| 37 |
+
{"episode_index": 36, "length": 307, "tasks": ["Walk over to the microwave on the round table and shift the microwave slightly to the left."]}
|
track_1/meta/episodes_metadata.jsonl
CHANGED
|
@@ -1,30 +1,37 @@
|
|
| 1 |
{"episode_index": 0, "sequence_id": "2026-03-16_15-04-26_hula_hoop_inside_ground_01", "camera": "back_stereo_camera_left", "object": "hula_hoop", "object_prompt": "a shiny skinny hula hoop.", "video_key": "observation.images.exo_camera"}
|
| 2 |
{"episode_index": 1, "sequence_id": "2026-03-16_15-07-35_hula_hoop_through_01", "camera": "back_stereo_camera_left", "object": "hula_hoop", "object_prompt": "a shiny skinny hula hoop.", "video_key": "observation.images.exo_camera"}
|
| 3 |
{"episode_index": 2, "sequence_id": "2026-04-25_14-46-14_hula_hoop_jump_rope_06", "camera": "back_stereo_camera_left", "object": "hula_hoop", "object_prompt": "a shiny skinny hula hoop.", "video_key": "observation.images.exo_camera"}
|
| 4 |
-
{"episode_index": 3, "sequence_id": "2026-06-
|
| 5 |
-
{"episode_index": 4, "sequence_id": "2026-06-
|
| 6 |
{"episode_index": 5, "sequence_id": "2026-06-09_11-19-34_big_red_bowl_skinny_wood_chair_05", "camera": "front_stereo_camera_left", "object": "big_red_bowl", "object_prompt": "A red plastic bowl.", "video_key": "observation.images.exo_camera"}
|
| 7 |
-
{"episode_index": 6, "sequence_id": "2026-
|
| 8 |
-
{"episode_index": 7, "sequence_id": "2026-
|
| 9 |
-
{"episode_index": 8, "sequence_id": "2026-06-
|
| 10 |
-
{"episode_index": 9, "sequence_id": "2026-
|
| 11 |
-
{"episode_index": 10, "sequence_id": "2026-
|
| 12 |
-
{"episode_index": 11, "sequence_id": "2026-
|
| 13 |
-
{"episode_index": 12, "sequence_id": "2026-
|
| 14 |
-
{"episode_index": 13, "sequence_id": "2026-
|
| 15 |
-
{"episode_index": 14, "sequence_id": "2026-
|
| 16 |
-
{"episode_index": 15, "sequence_id": "2026-
|
| 17 |
-
{"episode_index": 16, "sequence_id": "2026-
|
| 18 |
-
{"episode_index": 17, "sequence_id": "2026-
|
| 19 |
-
{"episode_index": 18, "sequence_id": "2026-
|
| 20 |
-
{"episode_index": 19, "sequence_id": "2026-
|
| 21 |
-
{"episode_index": 20, "sequence_id": "2026-
|
| 22 |
-
{"episode_index": 21, "sequence_id": "2026-
|
| 23 |
-
{"episode_index": 22, "sequence_id": "2026-
|
| 24 |
-
{"episode_index": 23, "sequence_id": "2026-
|
| 25 |
-
{"episode_index": 24, "sequence_id": "2026-
|
| 26 |
-
{"episode_index": 25, "sequence_id": "2026-
|
| 27 |
-
{"episode_index": 26, "sequence_id": "2026-
|
| 28 |
-
{"episode_index": 27, "sequence_id": "2026-
|
| 29 |
-
{"episode_index": 28, "sequence_id": "2026-
|
| 30 |
-
{"episode_index": 29, "sequence_id": "2026-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
{"episode_index": 0, "sequence_id": "2026-03-16_15-04-26_hula_hoop_inside_ground_01", "camera": "back_stereo_camera_left", "object": "hula_hoop", "object_prompt": "a shiny skinny hula hoop.", "video_key": "observation.images.exo_camera"}
|
| 2 |
{"episode_index": 1, "sequence_id": "2026-03-16_15-07-35_hula_hoop_through_01", "camera": "back_stereo_camera_left", "object": "hula_hoop", "object_prompt": "a shiny skinny hula hoop.", "video_key": "observation.images.exo_camera"}
|
| 3 |
{"episode_index": 2, "sequence_id": "2026-04-25_14-46-14_hula_hoop_jump_rope_06", "camera": "back_stereo_camera_left", "object": "hula_hoop", "object_prompt": "a shiny skinny hula hoop.", "video_key": "observation.images.exo_camera"}
|
| 4 |
+
{"episode_index": 3, "sequence_id": "2026-06-09_17-29-34_big_red_bowl_pick_and_place_round_table_07", "camera": "left_stereo_camera_left", "object": "big_red_bowl", "object_prompt": "A red plastic bowl.", "video_key": "observation.images.exo_camera"}
|
| 5 |
+
{"episode_index": 4, "sequence_id": "2026-06-03_18-26-12_big_red_bowl_flip_03", "camera": "left_stereo_camera_left", "object": "big_red_bowl", "object_prompt": "A red plastic bowl.", "video_key": "observation.images.exo_camera"}
|
| 6 |
{"episode_index": 5, "sequence_id": "2026-06-09_11-19-34_big_red_bowl_skinny_wood_chair_05", "camera": "front_stereo_camera_left", "object": "big_red_bowl", "object_prompt": "A red plastic bowl.", "video_key": "observation.images.exo_camera"}
|
| 7 |
+
{"episode_index": 6, "sequence_id": "2026-06-08_15-30-20_big_red_bowl_push_05", "camera": "front_stereo_camera_left", "object": "big_red_bowl", "object_prompt": "A red plastic bowl.", "video_key": "observation.images.exo_camera"}
|
| 8 |
+
{"episode_index": 7, "sequence_id": "2026-05-29_15-00-31_big_red_bowl_under_skinny_wood_chair_02", "camera": "left_stereo_camera_left", "object": "big_red_bowl", "object_prompt": "A red plastic bowl.", "video_key": "observation.images.exo_camera"}
|
| 9 |
+
{"episode_index": 8, "sequence_id": "2026-06-04_16-20-46_big_red_bowl_pick_and_place_ground_04", "camera": "left_stereo_camera_left", "object": "big_red_bowl", "object_prompt": "A red plastic bowl.", "video_key": "observation.images.exo_camera"}
|
| 10 |
+
{"episode_index": 9, "sequence_id": "2026-05-21_11-59-19_iron_under_skinny_wood_chair_01", "camera": "back_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 11 |
+
{"episode_index": 10, "sequence_id": "2026-05-21_13-19-53_iron_pull_toward_you_01", "camera": "front_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 12 |
+
{"episode_index": 11, "sequence_id": "2026-06-09_11-34-07_iron_ground_05", "camera": "right_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 13 |
+
{"episode_index": 12, "sequence_id": "2026-06-09_11-36-52_iron_rotate_on_desk_05", "camera": "right_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 14 |
+
{"episode_index": 13, "sequence_id": "2026-06-08_15-54-40_iron_rotate_mid_air_04", "camera": "left_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 15 |
+
{"episode_index": 14, "sequence_id": "2026-06-08_16-15-01_iron_touch_04", "camera": "right_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 16 |
+
{"episode_index": 15, "sequence_id": "2026-05-29_15-24-23_iron_pick_place_right_left_hand_02", "camera": "left_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 17 |
+
{"episode_index": 16, "sequence_id": "2026-05-29_15-32-50_iron_rotate_mid_air_02", "camera": "left_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 18 |
+
{"episode_index": 17, "sequence_id": "2026-06-04_17-01-14_iron_pick_and_place_ground_03", "camera": "left_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 19 |
+
{"episode_index": 18, "sequence_id": "2026-06-04_17-14-52_iron_push_03", "camera": "back_stereo_camera_left", "object": "iron", "object_prompt": "An metallic iron with blue accents.", "video_key": "observation.images.exo_camera"}
|
| 20 |
+
{"episode_index": 19, "sequence_id": "2026-03-12_16-19-19_white_desk_crawl_under_01", "camera": "right_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 21 |
+
{"episode_index": 20, "sequence_id": "2026-03-12_16-31-19_white_desk_lower_to_ground_02", "camera": "back_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 22 |
+
{"episode_index": 21, "sequence_id": "2026-02-27_16-50-52_wipe_surface_white_desk_03", "camera": "front_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 23 |
+
{"episode_index": 22, "sequence_id": "2026-03-13_11-18-20_white_desk_left_foot_push_04", "camera": "left_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 24 |
+
{"episode_index": 23, "sequence_id": "2026-05-01_11-32-56_white_desk_crawl_under_10", "camera": "left_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 25 |
+
{"episode_index": 24, "sequence_id": "2026-05-06_17-31-00_white_desk_side_to_upright_10", "camera": "right_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 26 |
+
{"episode_index": 25, "sequence_id": "2026-04-22_10-44-13_white_desk_right_foot_push_05", "camera": "left_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 27 |
+
{"episode_index": 26, "sequence_id": "2026-04-22_18-19-53_white_desk_walk_go_under_06", "camera": "front_stereo_camera_left", "object": "white_desk", "object_prompt": "white_desk.", "video_key": "observation.images.exo_camera"}
|
| 28 |
+
{"episode_index": 27, "sequence_id": "2026-04-24_15-45-06_white_desk_right_foot_push_06", "camera": "left_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 29 |
+
{"episode_index": 28, "sequence_id": "2026-04-29_11-25-10_white_desk_side_to_side_08", "camera": "front_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 30 |
+
{"episode_index": 29, "sequence_id": "2026-04-29_14-18-52_white_desk_pick_move_ground_09", "camera": "front_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 31 |
+
{"episode_index": 30, "sequence_id": "2026-03-12_16-43-03_white_desk_side_to_side_01", "camera": "front_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 32 |
+
{"episode_index": 31, "sequence_id": "2026-02-27_16-52-23_wipe_surface_white_desk_04", "camera": "left_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 33 |
+
{"episode_index": 32, "sequence_id": "2026-03-12_16-22-31_white_desk_pick_move_ground_02", "camera": "left_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 34 |
+
{"episode_index": 33, "sequence_id": "2026-04-29_14-21-44_white_desk_lower_to_ground_09", "camera": "left_stereo_camera_left", "object": "white_desk", "object_prompt": "a medium sized white desk.", "video_key": "observation.images.exo_camera"}
|
| 35 |
+
{"episode_index": 34, "sequence_id": "2026-03-19_15-41-36_soup_can_flip_04", "camera": "back_stereo_camera_left", "object": "soup_can", "object_prompt": "a small soup can with a lid.", "video_key": "observation.images.exo_camera"}
|
| 36 |
+
{"episode_index": 35, "sequence_id": "2026-05-29_14-08-13_disinfectant_wipes_pick_and_place_ground_02", "camera": "back_stereo_camera_left", "object": "disinfectant_wipes", "object_prompt": "A cyndrical jar with a green wrapper around it.", "video_key": "observation.images.exo_camera"}
|
| 37 |
+
{"episode_index": 36, "sequence_id": "2026-06-05_09-30-08_microwave_shift_left_03", "camera": "front_stereo_camera_left", "object": "microwave", "object_prompt": "A toy microwave with colorful buttons.", "video_key": "observation.images.exo_camera"}
|
track_1/meta/episodes_stats.jsonl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db443f4cb7ac4861029ecf476aa474c3e1a7506d209c228a1f2c89afe1b836fc
|
| 3 |
+
size 69627
|
track_1/meta/info.json
CHANGED
|
@@ -2,14 +2,14 @@
|
|
| 2 |
"codebase_version": "v2.1",
|
| 3 |
"robot_type": "video_only_object_tracking",
|
| 4 |
"fps": 30,
|
| 5 |
-
"total_episodes":
|
| 6 |
-
"total_frames":
|
| 7 |
-
"total_tasks":
|
| 8 |
-
"total_videos":
|
| 9 |
"total_chunks": 1,
|
| 10 |
"chunks_size": 1000,
|
| 11 |
"splits": {
|
| 12 |
-
"train": "0:
|
| 13 |
},
|
| 14 |
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
|
| 15 |
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
|
|
|
|
| 2 |
"codebase_version": "v2.1",
|
| 3 |
"robot_type": "video_only_object_tracking",
|
| 4 |
"fps": 30,
|
| 5 |
+
"total_episodes": 37,
|
| 6 |
+
"total_frames": 25856,
|
| 7 |
+
"total_tasks": 33,
|
| 8 |
+
"total_videos": 37,
|
| 9 |
"total_chunks": 1,
|
| 10 |
"chunks_size": 1000,
|
| 11 |
"splits": {
|
| 12 |
+
"train": "0:37"
|
| 13 |
},
|
| 14 |
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
|
| 15 |
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
|
track_1/meta/tasks.jsonl
CHANGED
|
@@ -1,22 +1,33 @@
|
|
| 1 |
{"task_index": 0, "task": "Walk over to the hula hoop on the floor and step inside the hula hoop. Lift the hula hoop over your entire body and place back on the floor when done."}
|
| 2 |
{"task_index": 1, "task": "Walk over to the hula hoop on the floor and grasp it with your right hand keeping the hula hoop vertical. Pass your right foot through the hula hoop and then your head and torso while shifting the hula hoop from your right hand to the left hand. Finally step through the hula hoop using your left leg. Place the hula hoop on the floor."}
|
| 3 |
{"task_index": 2, "task": "Walk over to the hula hoop on the floor and pick up the hula hoop using both hands. Jump through the hula hoop as if it was a jump rope 3x."}
|
| 4 |
-
{"task_index": 3, "task": "Walk over to the big red bowl on the
|
| 5 |
-
{"task_index": 4, "task": "Walk over to the big red bowl on the round table and
|
| 6 |
{"task_index": 5, "task": "Walk over to the big red bowl on the floor and pick up the red bowl using your right hand and then handover to your left hand and then place the big red bowl on the skinny wood chair. Step away when complete."}
|
| 7 |
-
{"task_index": 6, "task": "Walk over to the
|
| 8 |
-
{"task_index": 7, "task": "Walk over to the
|
| 9 |
-
{"task_index": 8, "task": "Walk over to the
|
| 10 |
-
{"task_index": 9, "task": "Walk to the
|
| 11 |
-
{"task_index": 10, "task": "Walk to the white desk
|
| 12 |
-
{"task_index": 11, "task": "Walk to the
|
| 13 |
-
{"task_index": 12, "task": "
|
| 14 |
-
{"task_index": 13, "task": "
|
| 15 |
-
{"task_index": 14, "task": "
|
| 16 |
-
{"task_index": 15, "task": "
|
| 17 |
-
{"task_index": 16, "task": "Walk over to the
|
| 18 |
-
{"task_index": 17, "task": "
|
| 19 |
-
{"task_index": 18, "task": "Walk
|
| 20 |
-
{"task_index": 19, "task": "
|
| 21 |
-
{"task_index": 20, "task": "
|
| 22 |
-
{"task_index": 21, "task": "
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
{"task_index": 0, "task": "Walk over to the hula hoop on the floor and step inside the hula hoop. Lift the hula hoop over your entire body and place back on the floor when done."}
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| 2 |
{"task_index": 1, "task": "Walk over to the hula hoop on the floor and grasp it with your right hand keeping the hula hoop vertical. Pass your right foot through the hula hoop and then your head and torso while shifting the hula hoop from your right hand to the left hand. Finally step through the hula hoop using your left leg. Place the hula hoop on the floor."}
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| 3 |
{"task_index": 2, "task": "Walk over to the hula hoop on the floor and pick up the hula hoop using both hands. Jump through the hula hoop as if it was a jump rope 3x."}
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| 4 |
+
{"task_index": 3, "task": "Walk over to the big red bowl on the ground and pick up the bowl using your left hand and place on the round table."}
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| 5 |
+
{"task_index": 4, "task": "Walk over to the big red bowl on the round table and flip the big red bowl onto the round table. Step away when complete."}
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| 6 |
{"task_index": 5, "task": "Walk over to the big red bowl on the floor and pick up the red bowl using your right hand and then handover to your left hand and then place the big red bowl on the skinny wood chair. Step away when complete."}
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| 7 |
+
{"task_index": 6, "task": "Walk over to the big red bowl on the round table and push the red bowl away you using both hands as you walk around the round table. Step away when complete."}
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| 8 |
+
{"task_index": 7, "task": "Walk over to the big red bowl on the skinny wood chair and pick up the big red bowl using both hands and proceed to place the big red bowl on the ground infront of the skinny wood chair and then slide the big red bowl underneath the skinny wood chair."}
|
| 9 |
+
{"task_index": 8, "task": "Walk over to the big red bowl on the round table and pick up the bowl using your left hand and place on the ground."}
|
| 10 |
+
{"task_index": 9, "task": "Walk over to the iron on the skinny wood chair and using your left hand lift the iron and place the iron underneath the skinny wood chair."}
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| 11 |
+
{"task_index": 10, "task": "Walk over to the iron on the white desk and pull the iron towards you. Step away when complete."}
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| 12 |
+
{"task_index": 11, "task": "Walk over to the iron on the ground and kneel near the iron and pick up the iron using your right hand and proceed to iron the ground infront of you. Place the iron on the ground when complete and stand up."}
|
| 13 |
+
{"task_index": 12, "task": "Walk over to the iron on the white desk and rotate the iron on the table using right hand only. Step away when complete."}
|
| 14 |
+
{"task_index": 13, "task": "Walk over to the iron on the floor and pick up the iron using both hands and rotate the iron as you walk within the bounding area and place it on the ground, step away when complete."}
|
| 15 |
+
{"task_index": 14, "task": "Walk over to the iron on the white desk and touch the iron. Step away when complete."}
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| 16 |
+
{"task_index": 15, "task": "Walk over to the iron on the round table and pick it up with your right hand stand it up vertically. Pick up the iron with your left hand and set it down horizontally on the round table."}
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| 17 |
+
{"task_index": 16, "task": "Walk over to the iron on the floor and pick up the iron using both hands and roatate the iron as you walk within the bounding area. place on the ground Step away when complete."}
|
| 18 |
+
{"task_index": 17, "task": "Walk over to the iron on the round table and pick it up with your left hand and set it down on the floor."}
|
| 19 |
+
{"task_index": 18, "task": "Walk over to the iron on the white desk and push the iron away from you. Step away when complete."}
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| 20 |
+
{"task_index": 19, "task": "Walk to the white desk and crawl under it to the other end of the desk."}
|
| 21 |
+
{"task_index": 20, "task": "Walk to the white desk, use both your hands to grasp on the edge of the table closest to you, and lower the desk to the ground."}
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| 22 |
+
{"task_index": 21, "task": "Walk around the desk while continuously wiping its surface with your hands."}
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| 23 |
+
{"task_index": 22, "task": "Walk to the white desk, use your left foot to push the desk."}
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| 24 |
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{"task_index": 23, "task": "Walk the white desk and crawl under it to the other end of the desk."}
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| 25 |
+
{"task_index": 24, "task": "Walk to the white desk lying on its side. Place both hands on the tabletop and lift the desk back to its upright position."}
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| 26 |
+
{"task_index": 25, "task": "white desk right foot push."}
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| 27 |
+
{"task_index": 26, "task": "Walk a lap around the desk. Stop beside the desk, crouch down, and move underneath it."}
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| 28 |
+
{"task_index": 27, "task": "Walk to the white desk, use your right foot to push the desk."}
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| 29 |
+
{"task_index": 28, "task": "Walk to the white desk that is lying on its side. Place both hands on it and use them to carefully flip the desk onto the other side."}
|
| 30 |
+
{"task_index": 29, "task": "Walk to the white desk, use both of your hands and pick up the desk slightly and move it to the side, and place it back to the ground."}
|
| 31 |
+
{"task_index": 30, "task": "Walk over to the soup can on the white desk and grasp the soup can with one hand and flip on the white desk."}
|
| 32 |
+
{"task_index": 31, "task": "Walk over to the disinfecting wipes on the round table using your right hand pick up the disinfecting wipes and walk within the bounding area and place on the ground."}
|
| 33 |
+
{"task_index": 32, "task": "Walk over to the microwave on the round table and shift the microwave slightly to the left."}
|
track_1/videos/chunk-000/observation.images.exo_camera/episode_000003.mp4
CHANGED
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track_1/videos/chunk-000/observation.images.exo_camera/episode_000004.mp4
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track_1/videos/chunk-000/observation.images.exo_camera/episode_000006.mp4
CHANGED
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track_1/videos/chunk-000/observation.images.exo_camera/episode_000007.mp4
CHANGED
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track_1/videos/chunk-000/observation.images.exo_camera/episode_000008.mp4
CHANGED
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track_1/videos/chunk-000/observation.images.exo_camera/episode_000009.mp4
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