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# AutoTrain Dataset for project: MedicalTokenClassification |
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## Dataset Descritpion |
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This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification. |
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### Languages |
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The BCP-47 code for the dataset's language is unk. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"feat_id": "13104", |
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"tokens": [ |
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"Jackie", |
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"Frank" |
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], |
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"feat_pos_tags": [ |
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21, |
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21 |
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], |
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"feat_chunk_tags": [ |
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5, |
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16 |
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], |
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"tags": [ |
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3, |
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7 |
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] |
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}, |
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{ |
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"feat_id": "9297", |
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"tokens": [ |
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"U.S.", |
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"lauds", |
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"Russian-Chechen", |
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"deal", |
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"." |
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], |
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"feat_pos_tags": [ |
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21, |
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20, |
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15, |
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20, |
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7 |
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], |
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"feat_chunk_tags": [ |
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5, |
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16, |
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16, |
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16, |
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22 |
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], |
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"tags": [ |
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0, |
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8, |
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1, |
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8, |
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8 |
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] |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"feat_id": "Value(dtype='string', id=None)", |
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"tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", |
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"feat_pos_tags": "Sequence(feature=ClassLabel(num_classes=47, names=['\"', '#', '$', \"''\", '(', ')', ',', '.', ':', 'CC', 'CD', 'DT', 'EX', 'FW', 'IN', 'JJ', 'JJR', 'JJS', 'LS', 'MD', 'NN', 'NNP', 'NNPS', 'NNS', 'NN|SYM', 'PDT', 'POS', 'PRP', 'PRP$', 'RB', 'RBR', 'RBS', 'RP', 'SYM', 'TO', 'UH', 'VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ', 'WDT', 'WP', 'WP$', 'WRB', '``'], id=None), length=-1, id=None)", |
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"feat_chunk_tags": "Sequence(feature=ClassLabel(num_classes=23, names=['B-ADJP', 'B-ADVP', 'B-CONJP', 'B-INTJ', 'B-LST', 'B-NP', 'B-PP', 'B-PRT', 'B-SBAR', 'B-UCP', 'B-VP', 'I-ADJP', 'I-ADVP', 'I-CONJP', 'I-INTJ', 'I-LST', 'I-NP', 'I-PP', 'I-PRT', 'I-SBAR', 'I-UCP', 'I-VP', 'O'], id=None), length=-1, id=None)", |
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"tags": "Sequence(feature=ClassLabel(num_classes=9, names=['B-LOC', 'B-MISC', 'B-ORG', 'B-PER', 'I-LOC', 'I-MISC', 'I-ORG', 'I-PER', 'O'], id=None), length=-1, id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 10014 | |
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| valid | 4028 | |
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