ReadMe Update

README.md

@@ -20,7 +20,7 @@ size_categories:
 
 # Dataset Card for ALIA biomedical Corpus
 
-The **ALIA biomedical Corpus** constitutes a strategic data infrastructure designed to support research in life sciences, healthcare, and clinical computational linguistics. By ensuring systematic access to multiple official medical repositories in a single consolidated dataset, it provides a robust foundation for Spanish-language BioNLP. With over 10 million instances and more than 5 billion tokens, it represents the most comprehensive corpus of biomedical and clinical-related texts in Spanish, combining source heterogeneity with advanced technical curation via datatrove.
+The **ALIA biomedical Corpus** constitutes a strategic data infrastructure designed to support research and innovation in the biomedical domain. By ensuring systematic access to multiple official medical repositories in a single consolidated dataset, it provides a robust foundation for Spanish-language BioNLP. With over 10 million instances and more than 5 billion tokens, it represents a relevant comprehensive corpus of biomedical and clinical-related texts in Spanish used in Spain, combining source heterogeneity with advanced technical curation.
 
 ## Table of Contents
 - [Dataset Card for ALIA biomedical Corpus](#dataset-card-for-alia-biomedical-corpus)
@@ -35,7 +35,7 @@ The **ALIA biomedical Corpus** constitutes a strategic data infrastructure desig
     - [Data Splits](#data-splits)
     - [Example Usage](#example-usage)
   - [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
+    - [Corpus Creation Rationale](#corpus-creation-rationale)
     - [Source Data](#source-data)
       - [Clinical Guidelines and Protocols](#clinical-guidelines-and-protocols)
       - [Pharmaceutical and Toxicological Data](#pharmaceutical-and-toxicological-data)
@@ -56,11 +56,12 @@ The **ALIA biomedical Corpus** constitutes a strategic data infrastructure desig
 
 ### Dataset Description
 
-The ALIA Biomedical Corpus is an open-access strategic data infrastructure that compiles and organizes an extensive collection of official documents and scientific texts from the Spanish biomedical and clinical domain. Its purpose is to provide a homogeneous, structured, and accessible documentary base for researchers, healthcare professionals, and computational linguists interested in the analysis and exploitation of medical, pharmacological, and clinical texts in Spanish.
+The ALIA Biomedical Corpus is an open-access and transparent strategic data infrastructure that compiles and organizes an extensive collection of official documents and scientific texts from the Spanish biomedical domain. It has been created from reliable and verifiable sources, ensuring data traceability and the lawful reuse of materials. The corpus guarantees free and open availability of the data, in accordance with its usage license. Its purpose is to provide a homogeneous, structured, and accessible documentary base for researchers, healthcare professionals, and computational linguists interested in the analysis and exploitation of medical, pharmacological, and clinical texts in Spanish.
+
 
 This corpus has been designed with an integrative approach that encompasses clinical guidelines, medical registries, scientific publications, and official health bulletins. It covers key areas such as pharmacology, epidemiology, public health, and specialized medical research. This diversity allows for comprehensive coverage of the documentary ecosystem that regulates and records medical and scientific activity in the Spanish-speaking world.
 
-The scope of the corpus, with approximately **10 million instances** and over **5.5 billion tokens**, makes it an unprecedented source for the development of Large Language Models (LLMs) specialized in medicine, Natural Language Processing (NLP) tools applied to clinical language, and research in medical informatics. Its processed nature facilitates advanced utilization in text mining, semantic modeling, information retrieval, and the construction of artificial intelligence systems specialized in healthcare and life sciences.
+The scope of the corpus, with approximately **10 million instances** and over **5.5 billion tokens**, makes it an unprecedented source for the development of Large Language Models (LLMs) specialized in medicine, Natural Language Processing (NLP) tools applied to clinical language, and research in medical informatics in Spanish. Its processed nature facilitates advanced utilization in text mining, semantic modeling, information retrieval, and the construction of artificial intelligence systems specialized in healthcare and life sciences.
 
 
 - **Curated by:** SINAI Research Group (Intelligent Systems for Information Access) - Universidad de Jaén, through the Center for Advanced Studies in Information and Communication Technologies (CEATIC).
@@ -156,7 +157,7 @@ print(f"Text: {example['text'][:200]}...")
 
 ## Dataset Creation
 
-### Curation Rationale
+### Corpus Creation Rationale
 
 This corpus was created to address the need for specialized linguistic resources in Spanish biomedical language, fundamental for the development of the ALIA foundational model within the Spanish Government's Artificial Intelligence Strategy 2024. Its design responds to the demand from researchers, legal professionals, and data scientists who require systematic access to Spanish official documentation for AI model training and specialized linguistic analysis.
 
@@ -228,7 +229,7 @@ The dataset does not contain additional annotations beyond the structural metada
 The corpus has been subjected to cleaning processes to remove sensitive or identifiable information according to data protection regulations. Documents come from public official sources, although some may contain references to names in official contexts (legislators, public officials in the exercise of their duties). Users are advised to apply additional controls depending on the specific use of the corpus.
 
 ### Citation
-[N/A]
+SINAI research group - Universidad de Jaén. ALIA Biomedical Corpus, versión 1.0. 2026. https://huggingface.co/datasets/SINAI/ALIA-biomedical
 
 ## Considerations for Using the Data
 
@@ -238,7 +239,7 @@ This corpus represents a significant advance in democratizing access to biomedic
 
 ### Discussion of Biases
 
-The corpus reflects the biomedical language used in Spanish, which may present biases inherent to:
+The corpus reflects the biomedical language used in the Spanish language used in Spain, which may present biases inherent to:
 
 - Formal Scientific Language: The corpus primarily consists of formal, clinical, and academic language. It may not be representative of colloquial Spanish or informal patient-doctor interactions (e.g., social media health discussions or medical forums).