Datasets:
jnlpba

Task Categories: structure-prediction
Languages: en
Multilinguality: monolingual
Size Categories: 10K<n<100K
Licenses: unknown
Language Creators: expert-generated
Annotations Creators: expert-generated

Dataset Card for JNLPBA

Dataset Summary

The data came from the GENIA version 3.02 corpus (Kim et al., 2003). This was formed from a controlled search on MEDLINE using the MeSH terms human, blood cells and transcription factors. From this search 2,000 abstracts were selected and hand annotated according to a small taxonomy of 48 classes based on a chemical classification. Among the classes, 36 terminal classes were used to annotate the GENIA corpus.

Supported Tasks and Leaderboards

NER

Languages

English

Dataset Structure

Data Instances

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Data Fields

  • id: Sentence identifier.
  • tokens: Array of tokens composing a sentence.
  • ner_tags: Array of tags, where 0 indicates no bio-entity mentioned, 1 signals the first token of a bio-entity and 2 the subsequent bio-entity tokens.

Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Contributions

Thanks to @edugp for adding this dataset.

Models trained or fine-tuned on jnlpba