Contributors: Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Ana Maguitman and Evangelos Milios
On this site, we made available the complete source code used for the experiments performed for the work titled: "Aprendizaje Causal y su Aplicación a Textos" (Causal learning and its text application).
We divided the source code into four Google Colab projects. Each Colab presents the complete source code for the experiment on one of four possible datasets sources: (I) sixty-four datasets generated with TETRAD, (II) eight datasets downloaded from CauseMe, (III) one real-world data provided by CAMMESA, and (IV) two real-world datasets built from the texts of the New York Times corpus.
This work was enabled by support provided by CONICET, Universidad Nacional del Sur (PGI-UNS 24/N051 and PGI-UNS 24/E145), a LARA project (Google Research Award for Latin America 2019-2020), Compute Canada and ACENET.
CC BY 4.0 You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.