Datasets:
language:
- it
license: other
license_name: copyrighted-research-purposes
license_link: LICENSE
tags:
- word-game
- rebus
- italian
- word-puzzle
- crossword
language_creators:
- expert-generated
pretty_name: eureka-rebus-calamita-2024
size_categories:
- 100K<n<1M
source_datasets:
- gsarti/eureka-rebus
task_categories:
- text2text-generation
configs:
- config_name: calamita
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
extra_gated_prompt: >-
### Verbalized Rebus Dataset License Agreement
"Agreement" means the terms and conditions for use, reproduction, distribution
and modification of the materials set forth herein.
1. Data Source and Redistribution
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.
2. Copyright of Individual Entries
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.
3. 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have been replaced by crossword definitions.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.
4. Terms of Use
a. Non-commercial Use Only: All data and derivative works in this repository
may be used solely for non-commercial research purposes.
b. Attribution: Users must provide appropriate attribution to the original
copyright holders and the Associazione Culturale "Biblioteca Enigmistica
Italiana - G. Panini" when using these data for research purposes.
e. Derivative Works: The creation of derivative works is permitted only for
research purposes and such works must be shared under terms no less
restrictive than this license.
5. Disclaimer
This data is provided "as is" without any warranties, express or implied. The
licensors make no representations or warranties regarding the accuracy,
completeness, or fitness for a particular purpose of the data.
6. Right of Removal
We reserve the right to remove any part of the data from the repository at any
time, particularly in the event that a copyright holder requests its removal.
7. Termination
This license will terminate automatically if you fail to comply with the terms
stated herein. Upon termination, you must destroy all copies of the data in
your possession.
8. Governing Law
This license shall be governed by and interpreted in accordance with the laws
of Italy, particularly in relation to copyright law and fair use for research
purposes.
By accessing or using the data in this repository, you agree to be bound by
the terms of this license. If you do not agree to these terms, you are not
permitted to access or use the data.
For any questions regarding this license or requests for additional
permissions, please contact [email protected].
Last updated: July 30th, 2024
extra_gated_fields:
I understand that the rights over EurekaRebus contents belong to the respective copyright holders: checkbox
I agree to use this dataset exclusively for non-commercial research purposes: checkbox
I agree to comply with the data license for this dataset: checkbox
Dataset Card for EurekaRebus CALAMITA 2024
Dataset Description
- Homepage: Eureka5
- Repository: Github
- Original dataset: Huggingface
- Paper: Arxiv
- Contact: Gabriele Sarti
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)).