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---
---
# Dataset Card for "asnq"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits Sample Size](#data-splits-sample-size)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## [Dataset Description](#dataset-description)
- **Homepage:** [https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq](https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 3398.76 MB
- **Size of the generated dataset:** 3647.70 MB
- **Total amount of disk used:** 7046.46 MB
### [Dataset Summary](#dataset-summary)
ASNQ is a dataset for answer sentence selection derived from
Google's Natural Questions (NQ) dataset (Kwiatkowski et al. 2019).
Each example contains a question, candidate sentence, label indicating whether or not
the sentence answers the question, and two additional features --
sentence_in_long_answer and short_answer_in_sentence indicating whether ot not the
candidate sentence is contained in the long_answer and if the short_answer is in the candidate sentence.
For more details please see
https://arxiv.org/pdf/1911.04118.pdf
and
https://research.google/pubs/pub47761/
### [Supported Tasks](#supported-tasks)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Languages](#languages)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## [Dataset Structure](#dataset-structure)
We show detailed information for up to 5 configurations of the dataset.
### [Data Instances](#data-instances)
#### default
- **Size of downloaded dataset files:** 3398.76 MB
- **Size of the generated dataset:** 3647.70 MB
- **Total amount of disk used:** 7046.46 MB
An example of 'validation' looks as follows.
```
{
"label": 0,
"question": "when did somewhere over the rainbow come out",
"sentence": "In films and TV shows ( edit ) In the film Third Finger , Left Hand ( 1940 ) with Myrna Loy , Melvyn Douglas , and Raymond Walburn , the tune played throughout the film in short sequences .",
"sentence_in_long_answer": false,
"short_answer_in_sentence": false
}
```
### [Data Fields](#data-fields)
The data fields are the same among all splits.
#### default
- `question`: a `string` feature.
- `sentence`: a `string` feature.
- `label`: a classification label, with possible values including `neg` (0), `pos` (1).
- `sentence_in_long_answer`: a `bool` feature.
- `short_answer_in_sentence`: a `bool` feature.
### [Data Splits Sample Size](#data-splits-sample-size)
| name | train |validation|
|-------|-------:|---------:|
|default|20377568| 930062|
## [Dataset Creation](#dataset-creation)
### [Curation Rationale](#curation-rationale)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Source Data](#source-data)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Annotations](#annotations)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Personal and Sensitive Information](#personal-and-sensitive-information)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## [Considerations for Using the Data](#considerations-for-using-the-data)
### [Social Impact of Dataset](#social-impact-of-dataset)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Discussion of Biases](#discussion-of-biases)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Other Known Limitations](#other-known-limitations)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## [Additional Information](#additional-information)
### [Dataset Curators](#dataset-curators)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Licensing Information](#licensing-information)
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### [Citation Information](#citation-information)
```
@article{garg2019tanda,
title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection},
author={Siddhant Garg and Thuy Vu and Alessandro Moschitti},
year={2019},
eprint={1911.04118},
}
```
### Contributions
Thanks to [@mkserge](https://github.com/mkserge) for adding this dataset.