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--- |
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language: |
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- ru |
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license: mit |
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task_categories: |
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- token-classification |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: words |
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sequence: string |
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- name: ner_tags |
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sequence: int64 |
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splits: |
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- name: train |
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num_bytes: 2079430 |
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num_examples: 612 |
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- name: valid |
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num_bytes: 237125 |
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num_examples: 77 |
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- name: test |
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num_bytes: 224036 |
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num_examples: 77 |
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download_size: 750018 |
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dataset_size: 2540591 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: valid |
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path: data/valid-* |
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- split: test |
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path: data/test-* |
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--- |
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# Dataset Card for Dataset Name |
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Preprocessed dataset [NEREL-BIO](https://github.com/nerel-ds/NEREL-BIO) |
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## Dataset Details |
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{0: 'ACTIVITY', |
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1: 'ADMINISTRATION_ROUTE', |
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2: 'ANATOMY', |
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3: 'CHEM', |
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4: 'DEVICE', |
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5: 'DISO', |
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6: 'FINDING', |
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7: 'FOOD', |
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8: 'GENE', |
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9: 'INJURY_POISONING', |
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10: 'HEALTH_CARE_ACTIVITY', |
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11: 'LABPROC', |
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12: 'LIVB', |
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13: 'MEDPROC', |
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14: 'MENTALPROC', |
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15: 'PHYS', |
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16: 'SCIPROC', |
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17: 'AGE', |
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18: 'CITY', |
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19: 'COUNTRY', |
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20: 'DATE', |
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21: 'DISTRICT', |
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22: 'EVENT', |
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23: 'FAMILY', |
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24: 'FACILITY', |
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25: 'LOCATION', |
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26: 'MONEY', |
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27: 'NATIONALITY', |
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28: 'NUMBER', |
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29: 'ORDINAL', |
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30: 'ORGANIZATION', |
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31: 'PERCENT', |
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32: 'PERSON', |
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33: 'PRODUCT', |
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34: 'PROFESSION', |
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35: 'STATE_OR_PROVINCE', |
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36: 'TIME', |
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37: 'AWARD', |
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38: 'CRIME', |
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39: 'IDEOLOGY', |
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40: 'LANGUAGE', |
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41: 'LAW', |
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42: 'PENALTY', |
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43: 'RELIGION', |
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44: 'WORK_OF_ART'} |
