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Browse files- README.md +0 -43
- wits.json → Silvia--WITS/json-train-00000-of-00008.parquet +2 -2
- Silvia--WITS/json-train-00001-of-00008.parquet +3 -0
- Silvia--WITS/json-train-00002-of-00008.parquet +3 -0
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README.md
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# Dataset Card for WITS
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Repository:** https://github.com/slvcsl/WITS
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- **Paper:** http://ceur-ws.org/Vol-3033/paper65.pdf
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### Dataset Summary
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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.
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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.
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### Languages
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The dataset is in Italian.
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### Licensing Information
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The dataset uses text from Wikipedia. Please refer to Wikipedia's license.
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### Citation Information
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If you use the dataset, please cite:
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```
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@inproceedings{DBLP:conf/clic-it/CasolaL21,
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author={Silvia Casola and Alberto Lavelli},
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title={WITS: Wikipedia for Italian Text Summarization},
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year={2021},
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cdate={1609459200000},
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url={http://ceur-ws.org/Vol-3033/paper65.pdf},
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booktitle={CLiC-it},
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crossref={conf/clic-it/2021}
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}
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```
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