The contents of the 'rebus.csv' file are extracted directly from the open database 'Eureka5', hosted by the Associazione Culturale "Biblioteca Enigmistica Italiana - G. Panini" at the address http://www.eureka5.it. This data is redistributed with the explicit approval of the association for research purposes only.

The rights to each entry in this collection are the property of the respective copyright holders. These copyright holders are identified by the acronym in the 'RIVISTA' field in the 'rebus.csv' file. A comprehensive list of these acronyms and their corresponding publications is available at http://www.eureka5.it/public/Leg_RivisteSearchCrud.

Derivative Works

Other files in this repository contain derivatives of the original data, specifically derivatives of the 'PRIMALET' field from 'rebus.csv' where words have been replaced by crossword definitions. All such derivative works remain under copyright protection. These derivative works, like the original data, are to be used exclusively for non-commercial research purposes in accordance with Article 70 of the Italian Copyright Law. Any further derivative work building upon these resources should remain licensed with a non-commercial license allowing research applications.

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Last updated: July 30th, 2024

Dataset Card for EurekaRebus CALAMITA 2024

Dataset Summary

This dataset contains a frozen version of the EurekaRebus dataset (Sarti et al. 2024) used for LLM evaluation in the 2024 CALAMITA evaluation campaign.

Refer to the original dataset for an overview of the contents.

Data Splits

Train: 80158 examples, ignored for the purpose of the CALAMITA evaluation campaign unless fine-tuning is involved.

Test: 3167 examples, used for the CALAMITA evaluation campaign. The examples are divided as follows (in order of appearance in the file):

2000 examples matching the in-domain setting for models fine-tuned by Sarti et al. (2024).
999 examples matching the OOD setting for models fine-tuned by Sarti et al. (2024).
168 new verbalized rebuses added in EurekaRebus v1.1 (possibly ID or OOD, but guaranteed to be unseen by models fine-tuned by Sarti et al. (2024)).

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