autotrain-data-processor commited on
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Processed data from AutoTrain data processor ([2023-03-16 16:26 ]

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README.md ADDED
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+ ---
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+ language:
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+ - fr
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+ task_categories:
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+ - token-classification
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+
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+ ---
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+ # AutoTrain Dataset for project: test
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+
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+ ## Dataset Description
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+
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+ This dataset has been automatically processed by AutoTrain for project test.
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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 fr.
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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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+ "tokens": [
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+ "CCI",
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+ "CCI",
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+ "CCI",
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+ "CCI bifocal G3, 7 et 25 mm",
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+ "CCI bifocal G3, 7 et 25 mm",
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+ "CCI",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "RO+ 20%",
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+ " RO+ 20%",
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+ "RO+",
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+ "RO+",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "RP-",
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+ "RP-",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "HER2 2+",
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+ "HER2 2+",
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+ "HER2 +",
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+ "HER2 +",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "Fish+",
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+ "Fish+",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "N+ 17/19",
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+ "N+ 17/19",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "CA15-3 : 12 UI",
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+ "CA15-3 : 12 UI",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "18/04/2019 : mammectomie dt + CA",
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+ "PS-0",
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+ "PS-0",
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+ "PS-0",
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+ "PS-0",
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+ " 03/2020",
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+ "08/2020",
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+ " 03/2020",
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+ "08/2020"
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+ ],
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+ "tags": [
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+ 28,
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+ 28,
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+ 28,
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+ 37,
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+ 37,
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+ 28,
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+ 14,
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+ 14,
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+ 29,
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+ 29,
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+ 29,
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+ 29,
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+ 32,
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+ 32,
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+ 33,
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+ 33,
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+ 34,
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+ 34,
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+ 19,
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+ 19,
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+ 19,
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+ 19,
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+ 20,
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+ 20,
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+ 17,
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+ 17,
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+ 18,
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+ 18,
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+ 23,
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+ 23,
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+ 24,
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+ 24,
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+ 6,
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+ 6,
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+ 7,
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+ 7,
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+ 27,
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+ 27,
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+ 27,
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+ 27,
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+ 12,
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+ 12,
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+ 12,
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+ 12
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+ ]
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+ },
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+ {
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+ "tokens": [
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+ "K sein D",
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+ "1992 : K sein D",
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+ "CA15-3 =1890",
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+ "CA 15-3 : 5200",
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+ "10/18",
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+ "11/21",
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+ "PS-2",
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+ "10/18"
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+ ],
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+ "tags": [
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+ 28,
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+ 14,
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+ 6,
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+ 6,
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+ 7,
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+ 7,
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+ 27,
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+ 12
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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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+ "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
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+ "tags": "Sequence(feature=ClassLabel(names=['ALK', 'ALK_DATE', 'BRAF', 'BRAF_DATE', 'BRCA', 'BRCA_DATE', 'CA15-3', 'CA15-3_DATE', 'CK20', 'CK20_DATE', 'CK7', 'CK7_DATE', 'Date PS', 'Date arr\u00eat traitement', 'Date du diagnostic de la tumeur primitive', 'EGFR', 'EGFR_DATE', 'FISH', 'FISH_DATE', 'HER2', 'HER2_DATE', 'KI67', 'KI67_DATE', 'N+', 'N+_DATE', 'PDL1', 'PDL1_DATE', 'PS', 'Premier type histologique de cancer', 'RO', 'ROS', 'ROS_DATE', 'RO_DATE', 'RP', 'RP_DATE', 'TTF1', 'TTF1_DATE', 'Taille de la tumeur primitive au diagnostic', 'motif arr\u00eat traitement', 'r\u00e9cepteurs hormonaux', 'r\u00e9cepteurs_hormonaux_DATE'], 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 | 999 |
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+ | valid | 508 |
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+ {"splits": ["train", "valid"]}
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+ "BRCA",
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+ "Date PS",
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+ "Date du diagnostic de la tumeur primitive",
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+ "EGFR",
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+ "EGFR_DATE",
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+ "FISH",
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+ "FISH_DATE",
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+ "HER2",
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+ "HER2_DATE",
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+ "KI67",
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+ "KI67_DATE",
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+ "N+",
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+ "N+_DATE",
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+ "PDL1",
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+ "PDL1_DATE",
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+ "PS",
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+ "Premier type histologique de cancer",
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+ "RO",
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+ "ROS",
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+ "ROS_DATE",
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+ "RO_DATE",
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+ "RP",
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+ "RP_DATE",
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+ "TTF1",
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+ "TTF1_DATE",
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+ "Taille de la tumeur primitive au diagnostic",
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+ "motif arr\u00eat traitement",
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+ "r\u00e9cepteurs hormonaux",
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+ "r\u00e9cepteurs_hormonaux_DATE"
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