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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 typeBratDocument
(withLabeledMultiSpan
annotations, see below).merge_fragmented_spans
: Documents are of typeBratDocumentWithMergedSpans
(this variant merges spans that are fragmented into simpleLabeledSpans
, 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 ofBratDocument
andLabeledSpan
and in the case ofBratDocumentWithMergedSpans
, 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 spanslabel
(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 attachedlabel
(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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