| 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-DiseaseClass | |
| '2': I-DiseaseClass | |
| '3': B-SpecificDisease | |
| '4': I-SpecificDisease | |
| '5': B-CompositeMention | |
| '6': I-CompositeMention | |
| '7': B-Modifier | |
| '8': I-Modifier | |
| splits: | |
| - name: test | |
| num_bytes: 319540 | |
| num_examples: 80 | |
| - name: train | |
| num_bytes: 3086873 | |
| num_examples: 792 | |
| download_size: 854342 | |
| dataset_size: 3406413 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| ## Benchmark dataset NCBI | |
| This dataset was generated by the Data preprocessing step of the NERFAIR workflow (More information: https://github.com/YasCoMa/ner-fair-workflow ) | |
| Original dataset: 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. | |