Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
parquet
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10M - 100M
ArXiv:
License:
metadata
language:
- en
paperswithcode_id: asnq
pretty_name: Answer Sentence Natural Questions
Dataset Card for "asnq"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- 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
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 and Leaderboards
Languages
Dataset Structure
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
The data fields are the same among all splits.
default
question
: astring
feature.sentence
: astring
feature.label
: a classification label, with possible values includingneg
(0),pos
(1).sentence_in_long_answer
: abool
feature.short_answer_in_sentence
: abool
feature.
Data Splits
name | train | validation |
---|---|---|
default | 20377568 | 930062 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing 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 for adding this dataset.