Datasets:
asnq

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- found
	language:
	- en
	license:
	- cc-by-nc-sa-3.0
	multilinguality:
	- monolingual
	size_categories:
	- 10M<n<100M
	source_datasets:
	- extended\|natural_questions
	task_categories:
	- multiple-choice
	task_ids:
	- multiple-choice-qa
	paperswithcode_id: asnq
	pretty_name: Answer Sentence Natural Questions (ASNQ)
	dataset_info:
	features:
	- name: question
	dtype: string
	- name: sentence
	dtype: string
	- name: label
	dtype:
	class_label:
	names:
	'0': neg
	'1': pos
	- name: sentence_in_long_answer
	dtype: bool
	- name: short_answer_in_sentence
	dtype: bool
	splits:
	- name: train
	num_bytes: 3656865072
	num_examples: 20377568
	- name: validation
	num_bytes: 168004403
	num_examples: 930062
	download_size: 2496835395
	dataset_size: 3824869475
	configs:
	- config_name: default
	data_files:
	- split: train
	path: data/train-*
	- split: validation
	path: data/validation-*
	---

	# Dataset Card for "asnq"

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [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

	- 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: [TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection](https://arxiv.org/abs/1911.04118)
	- 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: 3.56 GB
	- Size of the generated dataset: 3.82 GB
	- Total amount of disk used: 7.39 GB

	### 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/abs/1911.04118

	and

	https://research.google/pubs/pub47761/

	### Supported Tasks and Leaderboards

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Languages

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Dataset Structure

	### Data Instances

	#### default

	- Size of downloaded dataset files: 3.56 GB
	- Size of the generated dataset: 3.82 GB
	- Total amount of disk used: 7.39 GB

	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

	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

	\| name \| train \|validation\|
	\|-------\|-------:\|---------:\|
	\|default\|20377568\| 930062\|

	## Dataset Creation

	### Curation Rationale

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### 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

	### 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

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Licensing Information

	The data is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License:
	https://github.com/alexa/wqa_tanda/blob/master/LICENSE

	### Citation Information

	```
	@article{Garg_2020,
	title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection},
	volume={34},
	ISSN={2159-5399},
	url={http://dx.doi.org/10.1609/AAAI.V34I05.6282},
	DOI={10.1609/aaai.v34i05.6282},
	number={05},
	journal={Proceedings of the AAAI Conference on Artificial Intelligence},
	publisher={Association for the Advancement of Artificial Intelligence (AAAI)},
	author={Garg, Siddhant and Vu, Thuy and Moschitti, Alessandro},
	year={2020},
	month={Apr},
	pages={7780–7788}
	}
	```

	### Contributions

	Thanks to [@mkserge](https://github.com/mkserge) for adding this dataset.