| # Dataset Card for WITS | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Languages](#languages) | |
| - [Additional Information](#additional-information) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| ## Dataset Description | |
| - **Repository:** https://github.com/slvcsl/WITS | |
| - **Paper:** http://ceur-ws.org/Vol-3033/paper65.pdf | |
| ### Dataset Summary | |
| WITS (Wikipedia for Italian Text Summarization) is a large-scale dataset for abstractive summarization in Italian, built exploiting Wikipedia articles' structure. WITS contains almost 700,000 Wikipedia articles, together with their human-written summaries. | |
| Compared to existing data for text summarization in Italian, WITS is more than an order of magnitude larger and more challenging, given its lengthy sources. | |
| ### Languages | |
| The dataset is in Italian. | |
| ### Licensing Information | |
| The dataset uses text from Wikipedia. Please refer to Wikipedia's license. | |
| ### Citation Information | |
| If you use the dataset, please cite: | |
| ``` | |
| @inproceedings{DBLP:conf/clic-it/CasolaL21, | |
| author={Silvia Casola and Alberto Lavelli}, | |
| title={WITS: Wikipedia for Italian Text Summarization}, | |
| year={2021}, | |
| cdate={1609459200000}, | |
| url={http://ceur-ws.org/Vol-3033/paper65.pdf}, | |
| booktitle={CLiC-it}, | |
| crossref={conf/clic-it/2021} | |
| } | |
| ``` |