---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
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=nikodembartnik/fold_clothes_dining_annotated2">
<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:** apache-2.0

## Dataset Structure

[meta/info.json](meta/info.json):
```json
{
    "codebase_version": "v2.1",
    "fps": 50,
    "features": {
        "action": {
            "dtype": "float32",
            "shape": [
                14
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                14
            ]
        },
        "observation.images.front": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 50.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.left_wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 50.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.right_wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 50.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "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
        },
        "language_persistent": {
            "dtype": "language",
            "shape": [
                1
            ],
            "names": null
        },
        "language_events": {
            "dtype": "language",
            "shape": [
                1
            ],
            "names": null
        }
    },
    "total_episodes": 40,
    "total_frames": 159985,
    "total_tasks": 10,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
    "robot_type": "arx5",
    "splits": {
        "train": "0:40"
    },
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "say",
                "description": "Speak a short utterance to the user via the TTS executor.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "text": {
                            "type": "string",
                            "description": "The verbatim text to speak."
                        }
                    },
                    "required": [
                        "text"
                    ]
                }
            }
        }
    ]
}
```


## Citation

**BibTeX:**

```bibtex
[More Information Needed]
```