Create README.md

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- summarization
+- text-generation
+- text-classification
+language:
+- es
+pretty_name: Thesis Chile
+size_categories:
+- 1K<n<10K
+---
+
+## Dataset Description
+
+- **Homepage:** 
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+### Thesis Chile Dataset
+
+Thesis Chile is the dataset partially used to create the [DiscoEval in Spanish benchmark](https://github.com/OpenCENIA/Spanish-Sentence-Evaluation). 
+This dataset was created by scraping titles and abstracts of Chilean thesis from public repositories of the Pontificia Universidad Catolica de Chile (repositorio.uc.cl), Universidad de Chile (repositorio.uchile.cl) and Universidad Técnica Federico Santa María (biblioteca.usm.cl).
+
+### Supported Tasks
+
+We see the potential utility of this data for both discriminative and generative tasks. For classification purposes, the title-abstract pairs offer the opportunity to assess semantic similarity or entailment. Conversely, in generative tasks, the abstracts can serve as inputs for models to generate titles (summary).
+
+### Citation Information
+
+```
+@inproceedings{araujo-etal-2022-evaluation,
+    title = "Evaluation Benchmarks for {S}panish Sentence Representations",
+    author = "Araujo, Vladimir  and
+      Carvallo, Andr{\'e}s  and
+      Kundu, Souvik  and
+      Ca{\~n}ete, Jos{\'e}  and
+      Mendoza, Marcelo  and
+      Mercer, Robert E.  and
+      Bravo-Marquez, Felipe  and
+      Moens, Marie-Francine  and
+      Soto, Alvaro",
+    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.lrec-1.648",
+    pages = "6024--6034",
+}
+```