Datasets:
Thomas Lemberger
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README.md
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@@ -135,7 +135,6 @@ The text in the dataset is English.
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### Data Fields
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- `tokens`: tokens as a`list` of `string` produced by `roberta-base` tokenizer
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- `input_ids`: token id in `roberta-base` tokenizers' vocabulary provided as a`list` of `int`
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- `label_ids`:
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- `entity_types`: `list` of `strings` for the IOB2 tags for entity type; possible value in `["O", "I-SMALL_MOLECULE", "B-SMALL_MOLECULE", "I-GENEPROD", "B-GENEPROD", "I-SUBCELLULAR", "B-SUBCELLULAR", "I-CELL", "B-CELL", "I-TISSUE", "B-TISSUE", "I-ORGANISM", "B-ORGANISM", "I-EXP_ASSAY", "B-EXP_ASSAY"]`
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- train:
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- features: ['input_ids', 'labels', 'tag_mask'],
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- num_rows:
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- test:
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- features: ['input_ids', 'labels', 'tag_mask'],
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- num_rows: 4224
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- features: ['input_ids', 'labels', 'tag_mask'],
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- num_rows: 8861
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## Dataset Creation
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### Curation Rationale
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### Data Fields
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- `input_ids`: token id in `roberta-base` tokenizers' vocabulary provided as a`list` of `int`
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- `label_ids`:
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- `entity_types`: `list` of `strings` for the IOB2 tags for entity type; possible value in `["O", "I-SMALL_MOLECULE", "B-SMALL_MOLECULE", "I-GENEPROD", "B-GENEPROD", "I-SUBCELLULAR", "B-SUBCELLULAR", "I-CELL", "B-CELL", "I-TISSUE", "B-TISSUE", "I-ORGANISM", "B-ORGANISM", "I-EXP_ASSAY", "B-EXP_ASSAY"]`
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- train:
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- features: ['input_ids', 'labels', 'tag_mask'],
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- num_rows: 31_410
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- test:
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- features: ['input_ids', 'labels', 'tag_mask'],
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- num_rows: 4224
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- features: ['input_ids', 'labels', 'tag_mask'],
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- num_rows: 8861
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## Dataset Creation
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### Curation Rationale
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