Update README.md

README.md

@@ -15,9 +15,9 @@ size_categories:
 
 The Clinical Guidelines corpus is a new dataset of 46K clinical practice guidelines from various medical sources. This dataset is part of the original training corpus of the [Meditron](https://huggingface.co/epfl-llm/meditron-70b) LLM. 
 
-<img width=50% src="guidelines.png" alt="Sources of Clinical Practice Guidelines" title="CPG 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. 
 
-We release 35K scraped articles (in both raw and cleaned form) from 8 of 16 clinical guidelines sources allowing redistribution (namely CCO, CDC, CMA, ICRC, NICE, SPOR, WHO & 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). 
+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). 
 
 | Source | Full Name | Source tag | Total guidelines | Total words | Audience | Released |
 |-|-|-|-|-|-|-|
@@ -51,7 +51,7 @@ We release 35K scraped articles (in both raw and cleaned form) from 8 of 16 clin
 - **Language(s) (NLP):** English only
 - **License:** [More Information Needed]
 
-### Dataset Sources [optional]
+### Dataset Sources
 
 <!-- Provide the basic links for the dataset. -->
 
@@ -82,7 +82,7 @@ We release 35K scraped articles (in both raw and cleaned form) from 8 of 16 clin
 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')
+- `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
@@ -104,6 +104,8 @@ Our Clinical Guidelines corpus comprises $46,469$ guideline articles from 16 glo
 
 <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
 
+<img width=30% src="guidelines.png" alt="Sources of Clinical Practice Guidelines" title="CPG sources">
+
 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). 
 
@@ -111,8 +113,9 @@ The \guidelines corpus comprises a broad range of contexts. For instance, the ge
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
-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. 
+PDF documents were converted to text using [GROBID](https://github.com/kermitt2/grobid). 
+After extracting the raw text from each source, we cleaned data with an ad-hoc process 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 section headers indicated by `#`, homogenous spacing `\n\n` separating paragraphs, and normalized lists formatted with `- ` bullet points. 
 Finally, all samples were deduplicated using title matching, and articles that were too short or not English were filtered out. 
 
 
@@ -122,28 +125,14 @@ Finally, all samples were deduplicated using title matching, and articles that w
 
 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),
+- (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]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+- (4) covering a breadth of medical sub-domains, audiences (clinician, nurse, patient), and resource settings (high, low, and humanitarian response settings)
 
+<img width=30% src="guidelines.png" alt="Sources of Clinical Practice Guidelines" title="CPG sources">
 [More Information Needed]
 
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
 
 #### Personal and Sensitive Information
 
@@ -163,7 +152,7 @@ We employed pragmatic selection criteria over medical sources, seeking CPGs that
 
 Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
@@ -175,15 +164,6 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 [More Information Needed]
 
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
 
 ## Dataset Card Authors [optional]