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Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ImportError
Message: To be able to use pie/tbga, 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/tbga, 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 "TBGA"
This is a PyTorch-IE wrapper for the TBGA Huggingface dataset loading script.
Data Schema
The document type for this dataset is TbgaDocument which defines the following data fields:
text(str)
and the following annotation layers:
entities(annotation type:SpanWithIdAndName, target:text)relations(annotation type:BinaryRelation, target:entities)
SpanWithIdAndName is a custom annotation type that extends typical Span with the following data fields:
id(str, for entity identification)name(str, entity string between span start and end)
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.TextDocumentWithLabeledSpansAndBinaryRelations
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