Update README.md

README.md

@@ -13,35 +13,36 @@ task_categories:
 - token-classification
 task_ids:
 - named-entity-recognition
-licenses:
-- cc-by-4-0
+
 ---
 
-# CANTEMIST Corpus
+# CANTEMIST
 
 ## Dataset Description
 
+Manually classified collection of Spanish oncological clinical case reports.
+
+- **Homepage:** [zenodo](https://zenodo.org/record/3978041)
+- **Paper:** [Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and Results](https://www.researchgate.net/profile/Antonio-Miranda-Escalada-2/publication/352786464_Named_Entity_Recognition_Concept_Normalization_and_Clinical_Coding_Overview_of_the_Cantemist_Track_for_Cancer_Text_Mining_in_Spanish_Corpus_Guidelines_Methods_and_Results/links/60d98a3b458515d6fbe382d8/Named-Entity-Recognition-Concept-Normalization-and-Clinical-Coding-Overview-of-the-Cantemist-Track-for-Cancer-Text-Mining-in-Spanish-Corpus-Guidelines-Methods-and-Results.pdf)
+- **Point of Contact:** encargo-pln-life@bsc.es
+
 ### Dataset Summary
 
 Collection of 1301 oncological clinical case reports written in Spanish, with tumor morphology mentions manually annotated and mapped by clinical experts to a controlled terminology. Every tumor morphology mention is linked to an eCIE-O code (the Spanish equivalent of ICD-O).
 
 The training subset contains 501 documents, the development subsets 500, and the test subset 300. The original dataset is distributed in [Brat](https://brat.nlplab.org/standoff.html) format.
 
-This dataset was designed for the CANcer TExt Mining Shared Task, sponsored by [Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL)](https://plantl.mineco.gob.es/Paginas/index.aspx).
+This dataset was designed for the CANcer TExt Mining Shared Task, sponsored by [Plan-TL](https://plantl.mineco.gob.es/Paginas/index.aspx).
 
 For further information, please visit [the official website](https://temu.bsc.es/cantemist/).
 
-## Digital Object Identifier (DOI) and access to dataset files
-
-https://zenodo.org/record/3978041
-
 ### Supported Tasks
 
-Named Entity Recognition
+Named Entity Recognition (NER)
 
 ### Languages
 
-ES - Spanish
+- Spanish (es)
 
 ### Directory Structure
 
@@ -93,9 +94,11 @@ perineural          cc_onco101    808_818    O
 
 ### Data Splits
 
-* train: 19,397 sentences
-* validation: 18,165 sentences
-* test: 11,168 sentences
+| Split | Size |
+| ------------- | ------------- |
+| `train`  | 19,397  |
+| `dev`  | 18,165  |
+| `test`  | 11,168  |
 
 ## Dataset Creation
 
@@ -131,22 +134,26 @@ Clinical experts.
 
 No personal or sensitive information included.
 
-## Additional Information
+## Considerations for Using the Data
 
-### Dataset Curators
+### Social Impact of Dataset
 
-The Text Mining Unit from Barcelona Supercomputing center.
+This corpus contributes to the development of medical language models in Spanish.
 
-### Contact
+### Discussion of Biases
 
-encargo-pln-life@bsc.es
+Not applicable.
 
-### Citation Information
+## Additional Information
+
+### Dataset Curators
 
-If you use these resources in your work, please cite the following paper:
+The Text Mining Unit from Barcelona Supercomputing Center.
+
+### Citation Information
 
 ```bibtex
-@article{miranda2020named,
+@article{cantemist,
   title={Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and Results.},
   author={Miranda-Escalada, Antonio and Farr{\'e}, Eul{\`a}lia and Krallinger, Martin},
   journal={IberLEF@ SEPLN},
@@ -155,6 +162,10 @@ If you use these resources in your work, please cite the following paper:
 }
 ```
 
+### Contact Information
+
+For further information, send an email to encargo-pln-life@bsc.es.
+
 ### Funding
 
 This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL.