Add start/end character offsets to token classification and return_offsets_mapping to tokenizer#1668
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…ing to tokenizer - TokenClassificationPipeline now populates start/end character offsets on every raw token result by scanning forward through the original text. Grouped results (aggregation_strategy='simple') carry the span of the first-to-last token in the group. - PreTrainedTokenizer._call now accepts return_offsets_mapping: true, which adds an offset_mapping field ([start, end) per token) to the encoding. Works for single strings and batched input; handles padding with [0,0] and strips the field before tensor conversion so it is never tensorized. - Adds computeOffsets() helper with case-insensitive fallback for uncased tokenizers (e.g. bert-base-uncased). Closes huggingface#425, closes huggingface#633.
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Closing in favor of #1670, which contains this work in the same commit stack. |
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Closes #425, closes #633.
Two related feature-parity gaps with the Python
transformerslibrary, fixed in one PR since they share the same underlying mechanism (character-offset computation).return_offsets_mappingon the tokenizer ([Feature request] Return offset mapping using tokenizer #425)PreTrainedTokenizernow acceptsreturn_offsets_mapping: true: