README.md

metadata

task_categories:
  - robotics
tags:
  - robotics
  - lerobot
  - manipulation
size_categories: 1K<n<10K
license: apache-2.0
viewer: true
pretty_name: Test With Dataset Card
dataset_info:
  features:
    observation.images.phone:
      _type: Video
    observation.images.laptop:
      _type: Video
    action:
      _type: Value
      dtype: string
    observation.state:
      _type: Value
      dtype: string
    timestamp:
      _type: Value
      dtype: float32
    frame_index:
      _type: Value
      dtype: float32
    episode_index:
      _type: Value
      dtype: float32
    index:
      _type: Value
      dtype: float32
    task_index:
      _type: Value
      dtype: float32
  splits:
    - name: train
      num_examples: 2079

Test With Dataset Card

This is a merged LeRobot dataset created using a 0-1 scoring system for episode selection.

Dataset Information

• Total Episodes: 4
• Total Frames: 2079
• Robot Type: SO-ARM100
• Format: LeRobot v2.1
• Videos: Yes

Video Streams

This dataset includes the following video streams:

• observation.images.phone: Camera view from phone
• observation.images.laptop: Camera view from laptop

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("test-with-dataset-card")

# Access the training data
train_data = dataset["train"]

# View episode structure
print(f"Total frames: {len(train_data)}")
print(f"Features: {train_data.features}")

# Access specific episode data
episode_0_frames = train_data.filter(lambda x: x["episode_index"] == 0)
print(f"Episode 0 frames: {len(episode_0_frames)}")

Dataset Structure

The dataset follows the LeRobot format with:

• Parquet files: data/chunk-000/episode_XXXXXX.parquet
• Metadata: meta/info.json, meta/episodes.jsonl, meta/tasks.jsonl, meta/episodes_stats.jsonl
• Videos: videos/chunk-000/CAMERA_NAME/episode_XXXXXX.mp4

License

This dataset is released under the Apache 2.0 license.