Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError Exception: TypeError Message: datasets.features.features.Features() argument after ** must be a mapping, not Video Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response config_names = get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 996, in dataset_module_factory return HubDatasetModuleFactory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 605, in get_module dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 386, in from_dataset_card_data dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 317, in _from_yaml_dict yaml_data["features"] = Features._from_yaml_list(yaml_data["features"]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2027, in _from_yaml_list return cls.from_dict(from_yaml_inner(yaml_data)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1873, in from_dict return cls(**obj) TypeError: datasets.features.features.Features() argument after ** must be a mapping, not Video
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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 phoneobservation.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.
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