The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ImportError
Message:      To be able to use pie/brat, you need to install the following dependency: pie_datasets.
Please install it using 'pip install 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/brat, you need to install the following dependency: pie_datasets.
              Please install it using 'pip install 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 "brat"

This is a PyTorch-IE wrapper for the BRAT Huggingface dataset loading script.

Dataset Variants

The dataset provides the following variants:

  • default: The original dataset. Documents are of type BratDocument (with LabeledMultiSpan annotations, see below).
  • merge_fragmented_spans: Documents are of type BratDocumentWithMergedSpans (this variant merges spans that are fragmented into simple LabeledSpans, see below).

Data Schema

The document type for this dataset is BratDocument or BratDocumentWithMergedSpans, depending on if the data was loaded with merge_fragmented_spans=True (default: False). They define the following data fields:

  • text (str)
  • id (str, optional)
  • metadata (dictionary, optional)

and the following annotation layers:

  • spans (annotation type: LabeledMultiSpan in the case of BratDocument and LabeledSpan and in the case of BratDocumentWithMergedSpans, target: text)
  • relations (annotation type: BinaryRelation, target: spans)
  • span_attributes (annotation type: Attribute, target: spans)
  • relation_attributes (annotation type: Attribute, target: relations)

The LabeledMultiSpan annotation type is defined as follows:

  • slices (type: Tuple[Tuple[int, int], ...]): the slices consisting if start (including) and end (excluding) indices of the spans
  • label (type: str)
  • score (type: float, optional, not included in comparison)

The Attribute annotation type is defined as follows:

  • annotation (type: Annotation): the annotation to which the attribute is attached
  • label (type: str)
  • value (type: str, optional)
  • score (type: float, optional, not included in comparison)

See here for the remaining annotation type definitions.

Document Converters

The dataset provides no predefined document converters because the BRAT format is very flexible and can be used for many different tasks.

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