Update README.md

README.md

@@ -78,7 +78,15 @@ We release 35K scraped articles (in both raw and cleaned form) from 8 of 16 clin
 
 <!-- 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. -->
 
-[More Information Needed]
+Each row of the dataset represents one clinical practice guideline article, and consists of the following string dataset fields (all strings): 
+
+- `id`: Unique identifier for each article. 
+- `source`: Source tag ('cco', 'cdc', 'cma', 'icrc', 'nice', 'spor', 'who' or 'wikidoc')
+- `title`: Title of the article (only for CMA, NICE and WikiDoc)
+- `url`: URL of the article (only for NICE and WikiDoc)
+- `raw_text`: Unprocessed scraped article text
+- `clean_text`: Cleaned and formatted article text
+- `overview`: Short summary of the article (only for NICE)
 
 ## Dataset Creation
 
@@ -86,22 +94,38 @@ We release 35K scraped articles (in both raw and cleaned form) from 8 of 16 clin
 
 <!-- Motivation for the creation of this dataset. -->
 
-[More Information Needed]
+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. 
+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. 
 
 ### Source Data
 
 <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
 
+The \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.
+\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
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
-[More Information Needed]
+After extracting the raw text from each source, we cleaned data to exclude irrelevant or repetitive content that did not contribute to the textual content, such as URLs, references, figures, table delimiters, and ill-formatted characters. 
+Additionally, the text was standardized to a unified format with indicated section headers, homogenous space separating paragraphs, and normalized lists. 
+Finally, all samples were deduplicated using title matching, and articles that were too short or not English were filtered out. 
+
 
 #### Who are the source data producers?
 
 <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
 
+We employed pragmatic selection criteria over medical sources, seeking CPGs that were: 
+
+- (1) open-access,
+- (2) systematically formatted with homogenous textual structure (i.e., in a format in which automated processes could be deployed without excessive risk of misaligning textual sequences),
+- (3) in the language predominantly represented by the pre-training corpus of Llama (i.e., English)
+- (4) covering a breadth of medical sub-domains, audiences (clinician, nurse, patient), and resource settings (high, low, and humanitarian response settings).
+
 [More Information Needed]
 
 ### Annotations [optional]