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autotrain-data-MedicalTokenClassification

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Processed data from AutoTrain data processor ([2022-08-19 06:52 ]

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  1. README.md +97 -0
  2. processed/dataset_dict.json +1 -0
  3. processed/train/dataset.arrow +3 -0
  4. processed/train/dataset_info.json +157 -0
  5. processed/train/state.json +20 -0
  6. processed/valid/dataset.arrow +3 -0
  7. processed/valid/dataset_info.json +157 -0
  8. processed/valid/state.json +20 -0
README.md ADDED
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+ ---
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+ {}
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+
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+ ---
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+ # AutoTrain Dataset for project: MedicalTokenClassification
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+
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+ ## Dataset Descritpion
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+
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+ This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification.
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+
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+ ### Languages
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+
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+ The BCP-47 code for the dataset's language is unk.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample from this dataset looks as follows:
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+
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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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+ ],
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+ ],
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+ "tags": [
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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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+ "feat_chunk_tags": [
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+ ],
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+ "tags": [
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+ 0,
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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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+
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+ ### Dataset Fields
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+
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+ The dataset has the following fields (also called "features"):
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+
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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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+ }
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+ ```
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+
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+ ### Dataset Splits
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+
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+ This dataset is split into a train and validation split. The split sizes are as follow:
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+
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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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