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Add 165 success Nero block demonstrations
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---
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.