Update README.md

README.md

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 ---
 license: mit
+language:
+- en
 ---
-Repository in construction.
+# CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisions
+
+This repository contains the CASIMIR dataset, a dataset of the multiple revised versions of 15,646 scientific articles from OpenReview, along with their peer
+reviews. Pairs of consecutive versions of an article are aligned at sentence-level while keeping paragraph location
+information as metadata for supporting future revision studies at the discourse level. Each pair of revised sentences
+is enriched with automatically extracted edits and associated revision intention.
+
+
+### Please cite this work as:
+```
+@inproceedings{jourdan-etal-2024-casimir,
+    title = "{CASIMIR}: A Corpus of Scientific Articles Enhanced with Multiple Author-Integrated Revisions",
+    author = "Jourdan, L{\'e}ane  and
+      Boudin, Florian  and
+      Hernandez, Nicolas  and
+      Dufour, Richard",
+    editor = "Calzolari, Nicoletta  and
+      Kan, Min-Yen  and
+      Hoste, Veronique  and
+      Lenci, Alessandro  and
+      Sakti, Sakriani  and
+      Xue, Nianwen",
+    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
+    month = may,
+    year = "2024",
+    address = "Torino, Italia",
+    publisher = "ELRA and ICCL",
+    url = "https://aclanthology.org/2024.lrec-main.257/",
+    pages = "2883--2892",
+    abstract = "Writing a scientific article is a challenging task as it is a highly codified and specific genre, consequently proficiency in written communication is essential for effectively conveying research findings and ideas. In this article, we propose an original textual resource on the revision step of the writing process of scientific articles. This new dataset, called CASIMIR, contains the multiple revised versions of 15,646 scientific articles from OpenReview, along with their peer reviews. Pairs of consecutive versions of an article are aligned at sentence-level while keeping paragraph location information as metadata for supporting future revision studies at the discourse level. Each pair of revised sentences is enriched with automatically extracted edits and associated revision intention. To assess the initial quality on the dataset, we conducted a qualitative study of several state-of-the-art text revision approaches and compared various evaluation metrics. Our experiments led us to question the relevance of the current evaluation methods for the text revision task."
+}
+```
+
+### References:
+
+- Léane Jourdan, Florian Boudin, Nicolas Hernandez, and Richard Dufour. 2024. [CASIMIR: A Corpus of Scientific Articles Enhanced with Multiple Author-Integrated Revisions.](https://aclanthology.org/2024.lrec-main.257/) In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 2883–2892, Torino, Italia. ELRA and ICCL.
+- Léane Jourdan, Florian Boudin, Richard Dufour, and Nicolas Hernandez. 2023. [CASIMIR : un Corpus d’Articles Scientifiques Intégrant les ModIfications et Révisions des auteurs.](https://aclanthology.org/2023.jeptalnrecital-arts.10/) In Actes de CORIA-TALN 2023. Actes de l'atelier "Analyse et Recherche de Textes Scientifiques" (ARTS)@TALN 2023, pages 60–65, Paris, France. ATALA.