Update README.md

README.md

@@ -13,7 +13,7 @@ multilinguality:
 size_categories: 
 - 1K<n<10K
 source_datasets:
-- extended|paws-x
+- extended|google-research-datasets/paws-x
 task_categories:
 - text-classification
 task_ids:
@@ -53,4 +53,90 @@ dataset_info:
     num_examples: 2000
   download_size: 577814
   dataset_size: 520861
----
+---
+
+# Dataset Card for PAWS-eu
+
+- **Point of Contact:** [hitz@ehu.eus](mailto:hitz@ehu.eus)
+
+## Dataset Description
+
+### Dataset Summary
+
+PAWS-eu is the professional translation to Basque of the PAWS dataset ([Zhang et al., 2019](https://aclanthology.org/N19-1131/)),
+in the spirit of the PAWS-X effort ([Yang et al., 2019](https://aclanthology.org/D19-1382/)). 
+PAWS consist of sentence pairs that have high lexical overlap but that may or may not be paraphrases.
+
+
+### Languages
+
+* eu-ES
+
+## Dataset Structure
+
+
+### Data Fields
+
+* `id` (str): A unique id for each pair.
+* `sentence1` (str): The first sentence.
+* `sentence2` (str): The second sentence.
+* `label` (int): (noisy) label for each pair; `0` indicates that the pair has different meaning, while `1` indicates the pair is a paraphrase.
+
+
+### Data Splits
+
+| name    |test|
+|---------|---:|
+| default |2000|
+
+## Dataset Creation
+
+This dataset is a professional translation of the English PAWS dataset into Basque, commissioned by HiTZ (UPV/EHU) within the ILENIA project.
+For more information on how PAWS was created, please refer to their articles (see above).
+
+## Additional Information
+
+This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215335. 
+
+### Licensing Information
+
+Original PAWS-X License:
+
+> The dataset may be freely used for any purpose, although acknowledgement of Google LLC ("Google") as the data source would be appreciated. The dataset is provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
+
+
+### Citation Information
+
+```
+@inproceedings{baucells-etal-2025-iberobench,
+    title = "{I}bero{B}ench: A Benchmark for {LLM} Evaluation in {I}berian Languages",
+    author = "Baucells, Irene  and
+      Aula-Blasco, Javier  and
+      de-Dios-Flores, Iria  and
+      Paniagua Su{\'a}rez, Silvia  and
+      Perez, Naiara  and
+      Salles, Anna  and
+      Sotelo Docio, Susana  and
+      Falc{\~a}o, J{\'u}lia  and
+      Saiz, Jose Javier  and
+      Sepulveda Torres, Robiert  and
+      Barnes, Jeremy  and
+      Gamallo, Pablo  and
+      Gonzalez-Agirre, Aitor  and
+      Rigau, German  and
+      Villegas, Marta",
+    editor = "Rambow, Owen  and
+      Wanner, Leo  and
+      Apidianaki, Marianna  and
+      Al-Khalifa, Hend  and
+      Eugenio, Barbara Di  and
+      Schockaert, Steven",
+    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
+    month = jan,
+    year = "2025",
+    address = "Abu Dhabi, UAE",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.coling-main.699/",
+    pages = "10491--10519",
+}
+```