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Cannot get the config names for the dataset.
Error code: ConfigNamesError Exception: ImportError Message: To be able to use pie/imdb, you need to install the following dependencies: pytorch_ie, pie_datasets. Please install them using 'pip install pytorch_ie pie_datasets' for instance. 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 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1914, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1880, in dataset_module_factory return HubDatasetModuleFactoryWithScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1504, in get_module local_imports = _download_additional_modules( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 354, in _download_additional_modules raise ImportError( ImportError: To be able to use pie/imdb, you need to install the following dependencies: pytorch_ie, pie_datasets. Please install them using 'pip install pytorch_ie pie_datasets' for instance.
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.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
PIE Dataset Card for "imdb"
This is a PyTorch-IE wrapper for the imdb Huggingface dataset loading script.
Data Schema
The document type for this dataset is ImdbDocument
which defines the following data fields:
text
(str)id
(str, optional)metadata
(dictionary, optional)
and the following annotation layers:
label
(annotation type:Label
, target:None
)
See here and here for the annotation type definitions.
Document Converters
The dataset provides predefined document converters for the following target document types:
pie_modules.documents.ExtractiveQADocument
(simple cast without any conversion)
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