Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
natural-language-inference
Languages:
Italian
Size:
< 1K
License:
metadata
language:
- it
language_details: it-IT
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
task_ids:
- natural-language-inference
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: dev
path: valid.jsonl
- split: test
path: test.jsonl
The Textual Entailment dataset contains 800 pairs of Italian sentences, extracted from Wikipedia, and annotated for the presence of textual entailment. A pair of texts consists of T (for text) and H (hypothesis). Textual entailment is defined as a directional relationship between such pairs. The hypothesis must be fully entailed by the text. The dataset has been created and used for the Textual Entailment Task (http://www.evalita.it/2009/tasks/te), organised as part of the EVALITA 2009 evaluation campaign (http://www.evalita.it/2009).
The development and test data each consist of 400 examples of pairs, equally divided into positive and negative examples.
@article{bos2009textual,
title={Textual entailment at EVALITA 2009},
author={Bos, Johan and Zanzotto, Fabio Massimo and Pennacchiotti, Marco},
journal={Proceedings of EVALITA},
volume={2009},
number={6.4},
pages={2},
year={2009},
publisher={Citeseer}
}