Update README.md

README.md

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 # Dataset Card for Clinical Guidelines corpus
 
-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. 
+The Clinical Guidelines corpus is a new dataset of 46K clinical practice guidelines from 16 high-quality online medical sources. 
 
-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. 
+This dataset serves as a crucial component of the original training corpus of the [Meditron](https://huggingface.co/epfl-llm/meditron-70b) Large Language Model (LLM). 
+
+We publicly release a subset of 36,000 articles from our Guidelines corpus, extracted from 8 of 16 sources that allow content redistribution, namely CCO, CDC, CMA, ICRC, NICE, SPOR, WHO and WikiDoc. 
 
 You can scrape and clean all 16 guideline sources using our web scrapers and pre-processing code in [epfLLM/meditron](https://github.com/epfLLM/meditron). 
 
@@ -47,7 +49,7 @@ You can scrape and clean all 16 guideline sources using our web scrapers and pre
 
 - **Curated by:** [EPFL LLM Team](https://huggingface.co/epfl-llm)
 - **Funded by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** English only
+- **Language(s):** English only
 - **License:** [More Information Needed]
 
 ### Dataset Sources
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 <!-- Address questions around how the dataset is intended to be used. -->
 
+
 ### Direct Use
 
 <!-- This section describes suitable use cases for the dataset. -->
+The dataset is intended for use in tasks related to text generation, specifically in the context of clinical practice guidelines. It can be employed for training language models and other natural language processing applications within the healthcare domain.
+
 
 [More Information Needed]
 
@@ -72,6 +77,8 @@ You can scrape and clean all 16 guideline sources using our web scrapers and pre
 
 <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
 
+The dataset may not be suitable for applications outside the realm of clinical practice guidelines or medical text analysis.
+
 [More Information Needed]
 
 ## Dataset Structure
@@ -94,7 +101,9 @@ Each row of the dataset represents one clinical practice guideline article, and
 
 <!-- Motivation for the creation of this dataset. -->
 
-Clinical practice guidelines (CPGs) are rigorously researched frameworks designed to guide healthcare practitioners and patients in making evidence-based decisions regarding diagnosis, treatment, and management. 
+The dataset was curated to provide a high-quality collection of clinical practice guidelines (CPGs) for the training of Large Language Models. 
+
+Clinical practice guidelines are rigorously researched frameworks designed to guide healthcare practitioners and patients in making evidence-based decisions regarding diagnosis, treatment, and management. 
 They are compiled through a systematic process of collaborative consensus between experts to establish recommendations from the latest evidence on best practices that would maximize benefit in light of practical concerns such as available resources and context. As a super-synthesis of meta-analyses, they sit atop the `evidence pyramid' and form the basis of actionable evidence-based practice. 
 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. 
 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. 
@@ -106,7 +115,8 @@ Our Clinical Guidelines corpus comprises $46,469$ guideline articles from 16 glo
 
 <img width=50% src="guidelines.png" alt="Sources of Clinical Practice Guidelines" title="CPG sources">
 
-The Clinical Guidelines corpus comprises a broad range of contexts. For instance, the geographic scope ranges from global (WHO) to national (CDC, NICE) and regional (Ontario, Melbourne) to institutional (ICRC, Mayo Clinic). The corpus also represents health care concerns from high- (Ontario, Melbourne), low- (WHO), and volatile- (ICRC) resource settings.
+The dataset is sourced from 16 globally recognized medical entities, covering a wide range of healthcare contexts and audiences. 
+For instance, the geographic scope ranges from global (WHO) to national (CDC, NICE) and regional (Ontario, Melbourne) to institutional (ICRC, Mayo Clinic). The corpus also represents health care concerns from high- (Ontario, Melbourne), low- (WHO), and volatile- (ICRC) resource settings.
 Guidelines also contains a range of technical and conversational vocabulary with target audiences of clinicians or patients (or both), and is sometimes highly specialized within a theme (cancer, pediatrics, infectious disease). The peer review processes also ranged from UN bodies (WHO), institutional review boards (ICRC), professional associations (AAFP) to publicly crowdsourced knowledge bases (WikiDoc). 
 
 #### Data Collection and Processing
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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. -->
 
-As the articles scraped are 
+As the articles are publicly accessible, no personal or sensitive information is included.
 
 ## Bias, Risks, and Limitations