# 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}
}
```
region:us
{}
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# Dataset Card for WITS
## Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Additional Information
  - Licensing Information
  - Citation Information

## Dataset Description

- Repository: URL
- Paper: URL

### 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.



If you use the dataset, please cite:


# Dataset Card for WITS ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Additional Information
  - Licensing Information
  - Citation Information ## Dataset Description

- Repository: URL
- Paper: URL ### 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.



If you use the dataset, please cite:
TAGS
#region-us 
 # Dataset Card for WITS ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Additional Information
  - Licensing Information
  - Citation Information ## Dataset Description

- Repository: URL
- Paper: URL ### 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.



If you use the dataset, please cite:
passage: TAGS
#region-us 
# Dataset Card for WITS## Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Additional Information
  - Licensing Information
  - Citation Information## Dataset Description

- Repository: URL
- Paper: URL### 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.



If you use the dataset, please cite: