Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
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README.md
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# Dataset Card for Clinical Guidelines corpus
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The Clinical Guidelines corpus is a new dataset of 46K clinical practice guidelines from
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We publicly release a portion of 36K articles from our Guidelines corpus belonging to the 8 of 16 sources allowing content redistribution, namely CCO, CDC, CMA, ICRC, NICE, SPOR, WHO and WikiDoc.
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- **Curated by:** [EPFL LLM Team](https://huggingface.co/epfl-llm)
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** English only
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- **License:** [More Information Needed]
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Each row of the dataset represents one clinical practice guideline article, and consists of the following
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- `id`: Unique identifier for each article.
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- `source`: Source tag (`cco`, `cdc`, `cma`, `icrc`, `nice`, `spor`, `who` or `wikidoc`)
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CPGs are produced at various geographic and organizational granularities, ranging from global to hospital-level initiatives directed by international professional medical associations to informal consortia, regional or national governmental bodies to individual NGOs and hospitals.
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Our Clinical Guidelines corpus comprises $46,469$ guideline articles from 16 globally recognized sources for clinician and patient-directed guidance across high and low-resource settings, multiple medical domains (internal medicine, pediatrics, oncology, infectious disease, etc.), and various geographic granularities.
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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## Bias, Risks, and Limitations
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[More Information Needed]
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##
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## Dataset Card Contact
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# Dataset Card for Clinical Guidelines corpus
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The Clinical Guidelines corpus is a new dataset of 46K clinical practice guidelines from 16 high-quality online medical sources. This dataset is part of the original training corpus of the [Meditron](https://huggingface.co/epfl-llm/meditron-70b) LLM.
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We publicly release a portion of 36K articles from our Guidelines corpus belonging to the 8 of 16 sources allowing content redistribution, namely CCO, CDC, CMA, ICRC, NICE, SPOR, WHO and WikiDoc.
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- **Curated by:** [EPFL LLM Team](https://huggingface.co/epfl-llm)
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- **Funded by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** English only
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- **License:** [More Information Needed]
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Each row of the dataset represents one clinical practice guideline article, and consists of the following dataset fields (all strings):
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- `id`: Unique identifier for each article.
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- `source`: Source tag (`cco`, `cdc`, `cma`, `icrc`, `nice`, `spor`, `who` or `wikidoc`)
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CPGs are produced at various geographic and organizational granularities, ranging from global to hospital-level initiatives directed by international professional medical associations to informal consortia, regional or national governmental bodies to individual NGOs and hospitals.
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Our Clinical Guidelines corpus comprises $46,469$ guideline articles from 16 globally recognized sources for clinician and patient-directed guidance across high and low-resource settings, multiple medical domains (internal medicine, pediatrics, oncology, infectious disease, etc.), and various geographic granularities.
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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As the articles scraped are
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## Bias, Risks, and Limitations
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[More Information Needed]
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## Authors
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- **Curation**: Mary-Anne Hartley
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- **Scraping**: Alexandre Sallinen, Antoine Bonnet, Igor Krawczuk
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- **Cleaning**: Antoine Bonnet
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## Dataset Card Contact
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