---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- LeRobot
configs:
- config_name: default
  data_files: data/*/*.parquet
---

# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->



## Dataset Details

### Dataset Description

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- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** apache-2.0

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

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### Direct Use

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[More Information Needed]

### Out-of-Scope Use

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## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

[meta/info.json](meta/info.json):
```json
{
    "codebase_version": "v3.0",
    "robot_type": "R1Pro",
    "total_episodes": 91,
    "total_frames": 70908,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "fps": 30,
    "splits": {
        "train": "0:91"
    },
    "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.state": {
            "dtype": "float32",
            "shape": [
                256
            ],
            "names": null
        },
        "action": {
            "dtype": "float32",
            "shape": [
                23
            ],
            "names": null
        },
        "observation.images.rgb.left_wrist": {
            "dtype": "video",
            "shape": [
                480,
                480,
                3
            ],
            "names": [
                "height",
                "width",
                "rgb"
            ],
            "info": {
                "video.height": 480,
                "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.images.rgb.right_wrist": {
            "dtype": "video",
            "shape": [
                480,
                480,
                3
            ],
            "names": [
                "height",
                "width",
                "rgb"
            ],
            "info": {
                "video.height": 480,
                "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.images.rgb.head": {
            "dtype": "video",
            "shape": [
                720,
                720,
                3
            ],
            "names": [
                "height",
                "width",
                "rgb"
            ],
            "info": {
                "video.height": 720,
                "video.width": 720,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "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
        }
    }
}
```


## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

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#### Data Collection and Processing

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[More Information Needed]

#### Who are the source data producers?

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[More Information Needed]

### Annotations [optional]

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#### Annotation process

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[More Information Needed]

#### Who are the annotators?

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[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

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[More Information Needed]

### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

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## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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