WinobiasReader(self, max_span_width:int, token_indexers:Dict[str, allennlp.data.token_indexers.token_indexer.TokenIndexer]=None, **kwargs) -> None
TODO(Mark): Add paper reference.
Winobias is a dataset to analyse the issue of gender bias in co-reference resolution. It contains simple sentences with pro/anti stereotypical gender associations with which to measure the bias of a coreference system trained on another corpus. It is effectively a toy dataset and as such, uses very simplistic language; it has little use outside of evaluating a model for bias.
The dataset is formatted with a single sentence per line, with a maximum of 2 non-nested coreference clusters annotated using either square or round brackets. For example:
[The salesperson] sold (some books) to the librarian because [she] was trying to sell (them).
Returns a list of
Instances which have four fields :
containing the full sentence text,
ListField[SpanField] of inclusive start and
end indices for span candidates, and
MetadataField that stores the instance's
original text. For data with gold cluster labels, we also include the original
(a list of list of index pairs) and a
SequenceLabelField of cluster ids for every span
candidate in the
- max_span_width :
int, required. The maximum width of candidate spans to consider.
- token_indexers :
Dict[str, TokenIndexer], optional
- This is used to index the words in the sentence. See :class:
- __Default is
WinobiasReader.text_to_instance(self, sentence:List[allennlp.data.tokenizers.token.Token], gold_clusters:Union[List[List[Tuple[int, int]]], NoneType]=None) -> allennlp.data.instance.Instance
- sentence :
List[Token], required. The already tokenised sentence to analyse.
- gold_clusters :
Optional[List[List[Tuple[int, int]]]], optional (default = None) A list of all clusters in the sentence, represented as word spans. Each cluster contains some number of spans, which can be nested and overlap, but will never exactly match between clusters.
containing the followingFields
The text of the full sentence.spans
A ListField containing the spans represented asSpanFields
with respect to the sentence text.span_labels
The id of the cluster which each possible span belongs to, or -1 if it does
not belong to a cluster. As these labels have variable length (it depends on
how many spans we are considering), we represent this a as aSequenceLabelField
with respect to thespans