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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@@ -72,9 +72,9 @@ dataset_card_content: "\n---\ndataset_info:\n features:\n - name: sample_id\n
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\ that should go in this section. -->\nIf you use this dataset, please cite:\n\n\
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```bibtex\n@misc{MedicalNER_Fr2024,\n author = {Hicham Assoudi},\n title = {MedicalNER_Fr:\
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\ Named Entity Recognition Dataset for the French language in the medical and healthcare\
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\ domain},\n note = {Dataset, Typica.ai
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}\n```\n\n## Dataset Contact\n\nFeel free to reach out
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\ if you have any questions or comments.\n"
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description: 'MedicalNER_Fr: Named Entity Recognition Dataset for the French language
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in the medical and healthcare domain, (2024).'
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---
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@misc{MedicalNER_Fr2024,
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author = {Hicham Assoudi},
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title = {MedicalNER_Fr: Named Entity Recognition Dataset for the French language in the medical and healthcare domain},
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note = {Dataset, Typica.ai
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year = {2024}
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}
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```
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\ that should go in this section. -->\nIf you use this dataset, please cite:\n\n\
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```bibtex\n@misc{MedicalNER_Fr2024,\n author = {Hicham Assoudi},\n title = {MedicalNER_Fr:\
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\ Named Entity Recognition Dataset for the French language in the medical and healthcare\
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\ domain},\n note = {Dataset, Typica.ai},\n year = {2024},\n howpublished = {\\\
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url{https://typica.ai}}\n}\n```\n\n## Dataset Contact\n\nFeel free to reach out\
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\ to us at contactus@typica.ai if you have any questions or comments.\n"
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description: 'MedicalNER_Fr: Named Entity Recognition Dataset for the French language
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in the medical and healthcare domain, (2024).'
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---
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@misc{MedicalNER_Fr2024,
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author = {Hicham Assoudi},
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title = {MedicalNER_Fr: Named Entity Recognition Dataset for the French language in the medical and healthcare domain},
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note = {Dataset, Typica.ai},
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year = {2024},
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howpublished = {\url{https://typica.ai}}
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}
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```
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