--- {} --- # AutoTrain Dataset for project: MedicalTokenClassification ## Dataset Descritpion This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "feat_id": "13104", "tokens": [ "Jackie", "Frank" ], "feat_pos_tags": [ 21, 21 ], "feat_chunk_tags": [ 5, 16 ], "tags": [ 3, 7 ] }, { "feat_id": "9297", "tokens": [ "U.S.", "lauds", "Russian-Chechen", "deal", "." ], "feat_pos_tags": [ 21, 20, 15, 20, 7 ], "feat_chunk_tags": [ 5, 16, 16, 16, 22 ], "tags": [ 0, 8, 1, 8, 8 ] } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "feat_id": "Value(dtype='string', id=None)", "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", "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)", "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)", "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)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 10014 | | valid | 4028 |