Update README.md

README.md

@@ -1,81 +1,54 @@
 ---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
 languages:
-- ca
+- catalan
+licenses:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: sts-ca
+size_categories:
+- unknown
+source_datasets: []
+task_categories:
+- text-scoring
+task_ids:
+- semantic-similarity-scoring
 ---
-# Semantic Textual Similarity in Catalan
-
-## BibTeX  citation
-
-If you use any of these resources (datasets or models) in your work, please cite our latest paper:
 
-```bibtex
-@inproceedings{armengol-estape-etal-2021-multilingual,
-    title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
-    author = "Armengol-Estap{\'e}, Jordi  and
-      Carrino, Casimiro Pio  and
-      Rodriguez-Penagos, Carlos  and
-      de Gibert Bonet, Ona  and
-      Armentano-Oller, Carme  and
-      Gonzalez-Agirre, Aitor  and
-      Melero, Maite  and
-      Villegas, Marta",
-    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
-    month = aug,
-    year = "2021",
-    address = "Online",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2021.findings-acl.437",
-    doi = "10.18653/v1/2021.findings-acl.437",
-    pages = "4933--4946",
-}
-```
-
-
-## Digital Object Identifier (DOI) and access to dataset files
-
-https://doi.org/10.5281/zenodo.4529184
+# Semantic Textual Similarity in Catalan
 
+## Dataset Description
+- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
 
-## Introduction
+- **Point of Contact:** Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es)
 
-STS corpus is a benchmark for evaluating Semantic Text Similarity in Catalan.
-It consists of more than 3000 sentence pairs, annotated with the semantic similarity between them, using a scale from 0 (no similarity at all) to 5 (semantic equivalence). It is done manually by 4 different annotators following our guidelines based on previous work from the SemEval challenges (https://www.aclweb.org/anthology/S13-1004.pdf).
 
-The source data are scraped sentences from the Catalan Textual Corpus (https://doi.org/10.5281/zenodo.4519349), used under CC-by-SA-4.0 licence (https://creativecommons.org/licenses/by-sa/4.0/). The dataset is released under the same licence.
 
-This dataset was developed by BSC TeMU as part of the AINA project, to enrich the Catalan Language Understanding Benchmark (CLUB). 
+### Dataset Summary
 
-This is the version 1.0.1 of the dataset with the complete human and automatic annotations, as well as the QA analysis scripts. It also has a more accurate license.
+STS corpus is a benchmark for evaluating Semantic Text Similarity in Catalan. This dataset was developed by BSC TeMU as part of the AINA project, to enrich the Catalan Language Understanding Benchmark (CLUB). 
 
-This dataset can be used to build and score semantic similarity models.
 
 ### Supported Tasks and Leaderboards
 
-Semantic textual similiarity, Language Model
+This dataset can be used to build and score semantic similarity models in Catalan.
 
 ### Languages
 
 CA - Catalan
 
-### Directory structure
-
-    * dev.tsv
-    * sts-ca.py
-    * test.tsv
-    * train.tsv
-    * README
-   
 ## Dataset Structure
 
 ### Data Instances
 
 Follows SemEval challenges (https://www.aclweb.org/anthology/S13-1004.pdf).
 
-### Data Fields
-
-SemEval challenges formats and conventions (https://www.aclweb.org/anthology/S13-1004.pdf).
+#### Example
 
-### Example:
  |  index  |  id  |  sentence 1  |  sentence 2  |  avg  | 
  | ------- | ---- | ------------ | ------------ | ----- | 
 | 19 | ACN2_131 | Els manifestants ocupen l'Imperial Tarraco durant una hora fent jocs de taula | Els manifestants ocupen l'Imperial Tarraco i fan jocs de taula | 4 |
@@ -85,17 +58,25 @@ SemEval challenges formats and conventions (https://www.aclweb.org/anthology/S13
 | 27 | ACN2_1072 | Mentre han estat davant la comandància, els manifestants han cridat consignes a favor de la independència i han cantat cançons com 'L'estaca'. | Entre les consignes que han cridat s'ha pogut escoltar càntics com 'els carrers seran sempre nostres' i contínues consignes en favor de la independència. | 3 |
 | 28 | Viqui2_587 | Els cinc municipis ocupen una superfície de poc més de 100 km2 i conjuntament sumen una població total aproximada de 3.691 habitants (any 2019). | Té una població d'1.811.177 habitants (2005) repartits en 104 municipis d'una superfície total de 14.001 km2. | 2.67 |
 
+
+### Data Fields
+
+This dataset follows [SemEval](https://www.aclweb.org/anthology/S13-1004.pdf) challenges formats and conventions.
+
 ### Data Splits
-* sts_cat_dev_v1.tsv (493 annotated pairs)
-* sts_cat_train_v1.tsv (492 annotated pairs)
-* sts_cat_test_v1.tsv (2043 annotated pairs)
 
+- sts_cat_dev_v1.tsv (493 annotated pairs)
+
+- sts_cat_train_v1.tsv (492 annotated pairs)
+
+- sts_cat_test_v1.tsv (2043 annotated pairs)
 
 ## Dataset Creation
 
 ### Methodology
 
 Random sentences were extracted from 3 Catalan corpus: ACN, Oscar and Wikipedia, and we generated candidate pairs using a combination of metrics from Doc2Vec, Jaccard and a BERT-like model (“distiluse-base-multilingual-cased-v2”, [link](https://huggingface.co/distilbert-base-multilingual-cased)). Finally, we  manually reviewed the generated pairs to reject non-relevant pairs (identical or ungrammatical sentences, etc.) before providing them to the annotation team.
+
 The average of the four annotations was selected as a “ground truth” for each sentence pair, except when an annotator diverged in more than one unit from the average. In these cases, we discarded the divergent annotation and recalculated the average without it. We also discarded 45 sentence pairs because the annotators disagreed too much.
 
 ### Curation Rationale
@@ -106,7 +87,7 @@ For compatibility with similar datasets in other languages, we followed as close
 
 #### Initial Data Collection and Normalization
 
-The source data are scraped sentences from the Catalan Textual Corpus.
+The source data are scraped sentences from the [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519348).
 
 #### Who are the source language producers?
 
@@ -122,10 +103,6 @@ We comissioned the manual annotation of the similiarity between the sentences of
 
 A team of native language speakers from 2 different companies, working independently.
 
-### Dataset Curators
-
-Carlos Rodríguez and Carme Armentano, from BSC-CNS
-
 ### Personal and Sensitive Information
 
 No personal or sensitive information included.
@@ -144,12 +121,60 @@ No personal or sensitive information included.
 
 [More Information Needed]
 
+## Additional Information
 
-## Contact
+### Dataset Curators
 
 Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es)
 
+### Licensing Information
+
+This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
+
+### Citation Information
 
-## License
 
-<a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/"><img alt="Attribution-ShareAlike 4.0 International License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
+
+```
+
+@inproceedings{armengol-estape-etal-2021-multilingual,
+
+    title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
+
+    author = "Armengol-Estap{\'e}, Jordi  and
+
+      Carrino, Casimiro Pio  and
+
+      Rodriguez-Penagos, Carlos  and
+
+      de Gibert Bonet, Ona  and
+
+      Armentano-Oller, Carme  and
+
+      Gonzalez-Agirre, Aitor  and
+
+      Melero, Maite  and
+
+      Villegas, Marta",
+
+    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
+
+    month = aug,
+
+    year = "2021",
+
+    address = "Online",
+
+    publisher = "Association for Computational Linguistics",
+
+    url = "https://aclanthology.org/2021.findings-acl.437",
+
+    doi = "10.18653/v1/2021.findings-acl.437",
+
+    pages = "4933--4946",
+
+}
+
+```
+
+[DOI](https://doi.org/10.5281/zenodo.4529183)