Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: AttributeError
Message: 'float' object has no attribute 'items'
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 321, in _from_yaml_dict
return cls(**{k: v for k, v in yaml_data.items() if k in field_names})
File "<string>", line 20, in __init__
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 177, in __post_init__
self.version = Version.from_dict(self.version)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/version.py", line 90, in from_dict
return cls(**{k: v for k, v in dic.items() if k in field_names})
AttributeError: 'float' object has no attribute 'items'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.
SmolVLA Test Dataset
This is a test dataset created by the refactored SmolVLA library to demonstrate proper LeRobot format support.
Features
- LeRobot v2.1 format: Fully compatible with LeRobot training pipelines
- Episode structure preserved: Maintains temporal coherence
- Videos included: MP4 files for visual observations
- Proper metadata: Statistics, episode info, and task descriptions
Dataset Structure
.
├── data/ # Parquet files with trajectory data
├── videos/ # MP4 files for camera observations
└── meta/ # Metadata (info.json, episodes.jsonl, etc.)
Usage
from lerobot.datasets import LeRobotDataset
# Load the dataset
dataset = LeRobotDataset("SmolVLADataset/claude")
# Access samples
sample = dataset[0]
print(sample.keys())
Source
This dataset was created by merging LeRobot datasets using the SmolVLA library: https://github.com/smolvladataset/smolvladataset
The refactored library now properly:
- Downloads complete LeRobot datasets with videos
- Preserves episode structure and metadata
- Returns LeRobot-compatible dataset objects
- Validates dataset compatibility before merging
- Downloads last month
- 12