Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
French
Size:
10K - 100K
License:
update dataset card
Browse files
README.md
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@@ -45,15 +45,13 @@ dataset_card_content: "\n---\ndataset_info:\n features:\n - name: sample_id\n
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\ of the entity in the text.\n\n### Dataset Tags Count:\n\n- AnatomicalStructure:\
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\ 4685\n- Disease: 4658\n- Medication/Vaccine: 4226\n- MedicalProcedure: 3170\n\
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- Symptom: 1763\n- LOC: 525\n- PER: 521\n- PROD: 305\n- CW: 167\n- ORG: 83\n- GRP:\
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\ 14\n \n### Example\n\n```json\n{'
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\ 'tokens': ['
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\ '
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\ '
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\
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\
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\
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\ son enfance il devient fan de blues en écoutant big joe turner .',\n 'ner_tags_span':\
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\ \"[['Disease', 11, 23], ['PER', 77, 91]]\"}\n```\n\n## Dataset Creation\n\n###\
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\ Curation Rationale\n\n<!-- Motivation for the creation of this dataset. -->\n\
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This dataset was created for educational purposes only.\n\n### Source Data\n\n<!--\
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\ This section describes the source data (e.g. news text and headlines, social media\
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### Example
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```json
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{'
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'
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'
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'poliomyélite',
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'dans',
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'son',
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'enfance',
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'il',
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'devient',
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'fan',
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'de',
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'blues',
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'en',
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'écoutant',
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'big',
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'joe',
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'turner',
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'.'],
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'ner_tags': ['
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'
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'B-Disease',
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'O',
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'O',
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'O',
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'O',
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'O',
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'O',
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'O',
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'B-
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'I-PER',
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'I-PER',
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'O'],
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'
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'
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'ner_tags_span': "[['Disease', 11, 23], ['PER', 77, 91]]"}
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```
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## Dataset Creation
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\ of the entity in the text.\n\n### Dataset Tags Count:\n\n- AnatomicalStructure:\
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\ 4685\n- Disease: 4658\n- Medication/Vaccine: 4226\n- MedicalProcedure: 3170\n\
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- Symptom: 1763\n- LOC: 525\n- PER: 521\n- PROD: 305\n- CW: 167\n- ORG: 83\n- GRP:\
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\ 14\n \n### Example\n\n```json\n{'sample_id': '60a82e36-4d34-4e16-aadc-2078699476f7',\n\
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\ 'tokens': ['jonas',\n 'salk',\n 'médecin',\n 'm.d.',\n '1938',\n 'et',\n\
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\ 'inventeur',\n 'du',\n 'vaccin',\n 'contre',\n 'la',\n 'poliomyélite',\n\
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\ '.'],\n 'ner_tags': ['B-PER',\n 'I-PER',\n 'O',\n 'O',\n 'O',\n 'O',\n \
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\ 'O',\n 'O',\n 'O',\n 'O',\n 'O',\n 'B-Disease',\n 'O'],\n 'text': 'jonas\
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\ salk médecin m.d. 1938 et inventeur du vaccin contre la poliomyélite .',\n 'ner_tags_span':\
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\ \"[['PER', 0, 10], ['Disease', 62, 74]]\"}\n```\n\n## Dataset Creation\n\n###\
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\ Curation Rationale\n\n<!-- Motivation for the creation of this dataset. -->\n\
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This dataset was created for educational purposes only.\n\n### Source Data\n\n<!--\
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\ This section describes the source data (e.g. news text and headlines, social media\
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### Example
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```json
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{'sample_id': '60a82e36-4d34-4e16-aadc-2078699476f7',
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'tokens': ['jonas',
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'salk',
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'médecin',
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'm.d.',
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'1938',
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'et',
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'inventeur',
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'du',
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'vaccin',
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'contre',
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'la',
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'poliomyélite',
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'.'],
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'ner_tags': ['B-PER',
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'I-PER',
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'O',
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'O',
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'O',
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'O',
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'O',
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'O',
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'B-Disease',
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'O'],
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'text': 'jonas salk médecin m.d. 1938 et inventeur du vaccin contre la poliomyélite .',
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'ner_tags_span': "[['PER', 0, 10], ['Disease', 62, 74]]"}
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```
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## Dataset Creation
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