| --- |
| 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-OrganismTaxon |
| '2': I-OrganismTaxon |
| '3': B-DiseaseOrPhenotypicFeature |
| '4': I-DiseaseOrPhenotypicFeature |
| '5': B-SequenceVariant |
| '6': I-SequenceVariant |
| '7': B-GeneOrGeneProduct |
| '8': I-GeneOrGeneProduct |
| '9': B-ChemicalEntity |
| '10': I-ChemicalEntity |
| '11': B-CellLine |
| '12': I-CellLine |
| splits: |
| - name: test |
| num_bytes: 322740 |
| num_examples: 60 |
| - name: train |
| num_bytes: 3122140 |
| num_examples: 600 |
| download_size: 976463 |
| dataset_size: 3444880 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| --- |
| |
| ## Benchmark dataset biored |
| This dataset was generated by the Data preprocessing step of the NERFAIR workflow (More information: https://github.com/YasCoMa/ner-fair-workflow ) |
|
|
| Original dataset: 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. |
|
|
