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7.87 kB
| task_categories: | |
| - robotics | |
| tags: | |
| - LeRobot | |
| - nero7 | |
| - block-sorting | |
| - block-stacking | |
| configs: | |
| - config_name: default | |
| data_files: data/*/*.parquet | |
| This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | |
| <a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Luckistt/nero-block-sort-stack-v1"> | |
| <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/> | |
| <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/> | |
| </a> | |
| ## Dataset Description | |
| - **Homepage:** [More Information Needed] | |
| - **Paper:** [More Information Needed] | |
| - **License:** [More Information Needed] | |
| ## Dataset Structure | |
| [meta/info.json](meta/info.json): | |
| ```json | |
| { | |
| "codebase_version": "v3.0", | |
| "robot_type": "nero7_single_arm", | |
| "total_episodes": 165, | |
| "total_frames": 311338, | |
| "total_tasks": 1, | |
| "chunks_size": 1000, | |
| "data_files_size_in_mb": 100, | |
| "video_files_size_in_mb": 200, | |
| "fps": 30, | |
| "splits": { | |
| "train": "0:165" | |
| }, | |
| "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet", | |
| "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4", | |
| "features": { | |
| "observation.images.external": { | |
| "dtype": "video", | |
| "shape": [ | |
| 360, | |
| 640, | |
| 3 | |
| ], | |
| "names": [ | |
| "height", | |
| "width", | |
| "channel" | |
| ], | |
| "info": { | |
| "video.height": 360, | |
| "video.width": 640, | |
| "video.codec": "h264", | |
| "video.pix_fmt": "yuv420p", | |
| "video.is_depth_map": false, | |
| "video.fps": 30, | |
| "video.channels": 3, | |
| "has_audio": false | |
| } | |
| }, | |
| "observation.images.wrist": { | |
| "dtype": "video", | |
| "shape": [ | |
| 300, | |
| 480, | |
| 3 | |
| ], | |
| "names": [ | |
| "height", | |
| "width", | |
| "channel" | |
| ], | |
| "info": { | |
| "video.height": 300, | |
| "video.width": 480, | |
| "video.codec": "h264", | |
| "video.pix_fmt": "yuv420p", | |
| "video.is_depth_map": false, | |
| "video.fps": 30, | |
| "video.channels": 3, | |
| "has_audio": false | |
| } | |
| }, | |
| "observation.state": { | |
| "dtype": "float32", | |
| "shape": [ | |
| 8 | |
| ], | |
| "names": [ | |
| "joint1", | |
| "joint2", | |
| "joint3", | |
| "joint4", | |
| "joint5", | |
| "joint6", | |
| "joint7", | |
| "gripper" | |
| ] | |
| }, | |
| "action": { | |
| "dtype": "float32", | |
| "shape": [ | |
| 8 | |
| ], | |
| "names": [ | |
| "joint1", | |
| "joint2", | |
| "joint3", | |
| "joint4", | |
| "joint5", | |
| "joint6", | |
| "joint7", | |
| "gripper" | |
| ] | |
| }, | |
| "timestamp": { | |
| "dtype": "float32", | |
| "shape": [ | |
| 1 | |
| ], | |
| "names": null | |
| }, | |
| "frame_index": { | |
| "dtype": "int64", | |
| "shape": [ | |
| 1 | |
| ], | |
| "names": null | |
| }, | |
| "episode_index": { | |
| "dtype": "int64", | |
| "shape": [ | |
| 1 | |
| ], | |
| "names": null | |
| }, | |
| "index": { | |
| "dtype": "int64", | |
| "shape": [ | |
| 1 | |
| ], | |
| "names": null | |
| }, | |
| "task_index": { | |
| "dtype": "int64", | |
| "shape": [ | |
| 1 | |
| ], | |
| "names": null | |
| } | |
| } | |
| } | |
| ``` | |
| ## Citation | |
| **BibTeX:** | |
| ```bibtex | |
| [More Information Needed] | |
| ``` | |
| **This is the successful-demonstration dataset (165 episodes).** | |
| ## Task and collection | |
| Place the green and orange blocks in the cup, then stack the blue blocks. | |
| The active work area is the mat; spare objects outside it are not task targets. | |
| Five recording sessions were collected on 2026-10-24 and 2026-10-25, with more | |
| objects in later sessions. Exact object counts have not been annotated per episode. | |
| The cup position, cup appearance and object arrangement vary across sessions. | |
| The default `main` / `v3.0` revision contains **165 operator-labeled successful | |
| demonstrations**. The `failures` branch contains **10 operator-labeled failed | |
| demonstrations**, kept separately so they are not used as successful training examples. | |
| Labels are the operator's recorded success/failure marks, not a new independent | |
| visual certification of every trajectory. | |
| | Session | Successful episodes | Failed episodes | | |
| |---|---:|---:| | |
| | 20261024_165431 | 45 | 3 | | |
| | 20261024_175351 | 40 | 6 | | |
| | 20261025_130101 | 32 | 0 | | |
| | 20261025_140035 | 26 | 1 | | |
| | 20261025_150001 | 22 | 0 | | |
| ## Representation | |
| - LeRobot v3.0, 30 frames/second, single AgileX Nero seven-axis follower arm. | |
| - `observation.state`: seven measured joint angles in radians, followed by measured | |
| total gripper opening in metres. | |
| - `action`: seven leader joint targets in radians, followed by commanded total | |
| gripper opening in metres. Absolute joint targets are used. | |
| - External Gemini 336L RGB: 640 x 360; wrist Gemini 305 RGB: 480 x 300. | |
| - Videos are H.264, without audio; depth images are not included. | |
| - Original recordings are higher resolution (1280 x 720 and 848 x 530). | |
| This repository is the derived training dataset, not a full-resolution raw archive. | |
| - Episodes retain their recorded start/end boundaries. No idle-time trimming was | |
| applied. Frames rejected by the existing synchronization checks or lacking a | |
| decodable image pair are omitted and listed in the provenance annotations. | |
| ## Provenance and checks | |
| `annotations/episode_sources.json` maps every exported episode to its original | |
| session and episode, success mark, frame range and any omitted frames. | |
| `annotations/frame_sources.csv.gz` maps each exported frame to its raw aligned-row | |
| index and original wall-clock timestamp. Exported timestamps are regular 30 Hz | |
| video timestamps; the original timestamps remain in this provenance table. | |
| Some original capture intervals exceed one video frame. No synthetic frames or | |
| interpolated robot states were inserted: the export plays the retained samples at | |
| 30 Hz, so these gaps are compressed in video time. Episodes with a source interval | |
| above 100 ms are flagged by `timing_gap_over_100ms`; consult the source timestamps | |
| when strict temporal fidelity is required. | |
| The old collection tag `block_stack_k0` was replaced only in this derived export | |
| with the task instruction above. The original recordings were not modified. | |
| All video streams were fully decoded and their frame counts checked. State/action | |
| values were checked for finite values. For the start, middle and end of every | |
| episode, loaded states/actions were compared against the original CSV and decoded | |
| images were compared against the corresponding resized source images. | |
| `checksums.sha256` provides the SHA-256 of every published data/metadata/annotation | |
| file and this dataset card. | |
| ## Loading | |
| ```python | |
| from lerobot.datasets.lerobot_dataset import LeRobotDataset | |
| successes = LeRobotDataset( | |
| "Luckistt/nero-block-sort-stack-v1", revision="v3.0", video_backend="pyav" | |
| ) | |
| failures = LeRobotDataset( | |
| "Luckistt/nero-block-sort-stack-v1", revision="failures", video_backend="pyav" | |
| ) | |
| ``` | |
| No data license has been selected by the owner in this upload. | |