region:us
This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
@InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
}
[Needs More Information]

# Dataset Card for squad_it_exp

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Additional Information](#additional-information)
  - [Citation Information](#citation-information)

## Dataset Description

- **Homepage:** [Needs More Information]
- **Repository:** [Needs More Information]
- **Paper:** [Needs More Information]
- **Leaderboard:** [Needs More Information]
- **Point of Contact:** [Needs More Information]

### Dataset Summary
SQuAD-it-exp is a dataset derived from the SQuAD-it dataset originally created by Croce et al. to 2018.<br/>
SQuAD-it-exp has been enriched by adding new unanswerable questions in SQuAD v2 format.<br/>
The dataset contains nearly 90,000 pairs of questions/answers in Italian.

### Languages
The dataset is for the ITALIAN language

### Citation Information

```
@InProceedings{10.1007/978-3-030-03840-3_29,
	author="Croce, Danilo and Zelenanska, Alexandra and Basili, Roberto",
	editor="Ghidini, Chiara and Magnini, Bernardo and Passerini, Andrea and Traverso, Paolo",
	title="Neural Learning for Question Answering in Italian",
	booktitle="AI*IA 2018 -- Advances in Artificial Intelligence",
	year="2018",
	publisher="Springer International Publishing",
	address="Cham",
	pages="389--402",
	isbn="978-3-030-03840-3"
}
```