task_categories:summarization task_categories:text-generation task_categories:text-classification size_categories:1K<n<10K language:es license:cc-by-4.0 region:us
---
license: cc-by-4.0
task_categories:
- summarization
- text-generation
- text-classification
language:
- es
pretty_name: Thesis Chile
size_categories:
- 1K<n<10K
---

### Thesis Chile Dataset

### Dataset Summary

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",
}
```
