Update README.md

README.md

@@ -17,7 +17,7 @@ task_categories: []
 task_ids: []
 ---
 
-# Ancora-Ca-NER
+# AnCora-Ca-NER
  
 ## Dataset Description
 
@@ -28,11 +28,12 @@ task_ids: []
 
 ### Dataset Summary
 
-This is a dataset for Named Entity Recognition (NER) in Catalan. It adapts <a href="http://clic.ub.edu/corpus/">Ancora corpus</a> for Machine Learning and Language Model evaluation purposes.
+This is a dataset for Named Entity Recognition (NER) in Catalan. It adapts <a href="http://clic.ub.edu/corpus/">AnCora corpus</a> for Machine Learning and Language Model evaluation purposes.
 
-AnCora corpus is used under [CC-by](https://creativecommons.org/licenses/by/4.0/) licence. 
+[AnCora corpus](http://clic.ub.edu/corpus/) is used under [CC-by](https://creativecommons.org/licenses/by/4.0/) licence. 
+
+This dataset was developed by [BSC TeMU](https://temu.bsc.es/) as part of the [projecte Aina](https://politiquesdigitals.gencat.cat/ca/tic/aina-el-projecte-per-garantir-el-catala-en-lera-digital/), to enrich the [Catalan Language Understanding Benchmark (CLUB)](https://temu-bsc.github.io/catalan-language-understanding-benchmark/). 
 
-This dataset was developed by BSC TeMU as part of the AINA project, and to enrich the Catalan Language Understanding Benchmark (CLUB). 
 
 ### Supported Tasks and Leaderboards
 
@@ -72,7 +73,7 @@ Every file has two columns, with the word form or punctuation symbol in the firs
 
 ### Data Splits
 
-We took the original train, dev and test splits from the [UD version of the corpus] (https://huggingface.co/datasets/universal_dependencies)
+We took the original train, dev and test splits from the [UD version of the corpus](https://huggingface.co/datasets/universal_dependencies)
 
 - train: 10,630 examples
 - validation: 1,429 examples
@@ -83,7 +84,7 @@ We took the original train, dev and test splits from the [UD version of the corp
 
 ### Methodology
 
-We adapted the NER labels from Ancora corpus to a word-per-line format. 
+We adapted the NER labels from [AnCora corpus](http://clic.ub.edu/corpus/) to a word-per-line format. 
 
 ### Curation Rationale
 
@@ -92,22 +93,23 @@ We adapted the NER labels from Ancora corpus to a word-per-line format.
 
 #### Initial Data Collection and Normalization
 
-AnCora consists of a Catalan corpus (AnCora-CA) and a Spanish corpus (AnCora-ES), each of them of 500,000 tokens (some multi-word). The corpora are annotated for linguistic phenomena at different levels.
+[AnCora](http://clic.ub.edu/corpus/) consists of a Catalan corpus (AnCora-CA) and a Spanish corpus (AnCora-ES), each of them of 500,000 tokens (some multi-word). The corpora are annotated for linguistic phenomena at different levels.
 AnCora corpus is mainly based on newswire texts. For more information, refer to Taulé, M., M.A. Martí, M. Recasens (2009). <a href="http://www.lrec-conf.org/proceedings/lrec2008/pdf/35_paper.pdf">"AnCora: Multilevel Annotated Corpora for Catalan and Spanish”, Proceedings of 6th International Conference on language Resources and Evaluation"</a>.
 
 #### Who are the source language producers?
 
-Catalan Ancora corpus is compiled from articles from the following news outlets: <a href="https://www.efe.com">EFE</a>, <a href="https://www.acn.cat">ACN</a>, <a href="https://www.elperiodico.cat/ca/">El Periodico</a>.
+Catalan [AnCora corpus](http://clic.ub.edu/corpus/) is compiled from articles from the following news outlets: <a href="https://www.efe.com">EFE</a>, <a href="https://www.acn.cat">ACN</a>, <a href="https://www.elperiodico.cat/ca/">El Periodico</a>.
 
 ### Annotations
 
 #### Annotation process
 
-We adapted the NER labels from Ancora corpus to a token-per-line, multi-column format. 
+We adapted the NER labels from [AnCora corpus](http://clic.ub.edu/corpus/) to a token-per-line, multi-column format. 
 
 #### Who are the annotators?
 
-Original annotators from Ancora corpus.
+Original annotators from [AnCora corpus](http://clic.ub.edu/corpus/).
+
 ### Personal and Sensitive Information
 
 No personal or sensitive information included.