---
license: mit
task_categories:
- token-classification
language:
- en
dataset_info:
  features:
  - name: id
    dtype: string
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': O
          '1': B-SpecificDisease
          '2': I-SpecificDisease
          '3': B-Context_Error
          '4': I-Context_Error
          '5': B-Undefined_semantics
          '6': I-Undefined_semantics
          '7': B-SequenceVariant
          '8': I-SequenceVariant
          '9': B-c-Requires_causality
          '10': I-c-Requires_causality
          '11': B-CompositeMention
          '12': I-CompositeMention
          '13': B-OrganismTaxon
          '14': I-OrganismTaxon
          '15': B-Drug
          '16': I-Drug
          '17': B-Not_a_criteria
          '18': I-Not_a_criteria
          '19': B-Post-eligibility
          '20': I-Post-eligibility
          '21': B-Competing_trial
          '22': I-Competing_trial
          '23': B-Observation
          '24': I-Observation
          '25': B-Disease
          '26': I-Disease
          '27': B-Value
          '28': I-Value
          '29': B-Line
          '30': I-Line
          '31': B-Grammar_Error
          '32': I-Grammar_Error
          '33': B-Measurement
          '34': I-Measurement
          '35': B-CellLine
          '36': I-CellLine
          '37': B-Person
          '38': I-Person
          '39': B-Device
          '40': I-Device
          '41': B-Pregnancy_considerations
          '42': I-Pregnancy_considerations
          '43': B-DiseaseOrPhenotypicFeature
          '44': I-DiseaseOrPhenotypicFeature
          '45': B-Condition
          '46': I-Condition
          '47': B-Mood
          '48': I-Mood
          '49': B-Non-representable
          '50': I-Non-representable
          '51': B-Reference_point
          '52': I-Reference_point
          '53': B-Non-query-able
          '54': I-Non-query-able
          '55': B-Qualifier
          '56': I-Qualifier
          '57': B-DiseaseClass
          '58': I-DiseaseClass
          '59': B-Parsing_Error
          '60': I-Parsing_Error
          '61': B-Chemical
          '62': I-Chemical
          '63': B-Multiplier
          '64': I-Multiplier
          '65': B-ChemicalEntity
          '66': I-ChemicalEntity
          '67': B-Procedure
          '68': I-Procedure
          '69': B-Temporal
          '70': I-Temporal
          '71': B-Subjective_judgement
          '72': I-Subjective_judgement
          '73': B-GeneOrGeneProduct
          '74': I-GeneOrGeneProduct
          '75': B-Informed_consent
          '76': I-Informed_consent
          '77': B-Intoxication_considerations
          '78': I-Intoxication_considerations
          '79': B-Modifier
          '80': I-Modifier
          '81': B-Visit
          '82': I-Visit
          '83': B-Negation
          '84': I-Negation
  splits:
  - name: test
    num_bytes: 786438
    num_examples: 346
  - name: train
    num_bytes: 10705550
    num_examples: 3259
  download_size: 2474358
  dataset_size: 11491988
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

## Benchmark Merged dataset - Train
This dataset was generated by the Data preprocessing step of the NERFAIR workflow (More information: https://github.com/YasCoMa/ner-fair-workflow )

It contains the train data of the following datasets: 

- ncbi: Doğan, Rezarta Islamaj, Robert Leaman, and Zhiyong Lu. 2014. “NCBI Disease Corpus: A Resource for Disease Name Recognition and Concept Normalization.” Journal of Biomedical Informatics 47 (February): 1–10.

- bc5cdr: Li, Jiao, Yueping Sun, Robin J. Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J. Mattingly, Thomas C. Wiegers, and Zhiyong Lu. 2016. “BioCreative V CDR Task Corpus: A Resource for Chemical Disease Relation Extraction.” Database: The Journal of Biological Databases and Curation 2016 (May): baw068.

- biored: Luo, Ling, Po-Ting Lai, Chih-Hsuan Wei, Cecilia N. Arighi, and Zhiyong Lu. 2022. “BioRED: A Rich Biomedical Relation Extraction Dataset.” Briefings in Bioinformatics 23 (5): bbac282.

- chia: Kury, Fabrício, Alex Butler, Chi Yuan, Li-Heng Fu, Yingcheng Sun, Hao Liu, Ida Sim, Simona Carini, and Chunhua Weng. 2020. “Chia, a Large Annotated Corpus of Clinical Trial Eligibility Criteria.” Scientific Data 7 (1): 281.