Datasets:
Sub-tasks:
abstractive-qa
Languages:
English
Multilinguality:
monolingual
Size Categories:
unknown
Source Datasets:
original
ArXiv:
metadata
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- expert-generated
- machine-generated
- crowdsourced
languages:
- en-US
licenses: []
multilinguality:
- monolingual
pretty_name: NMSQA
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
- automatic-speech-recognition
task_ids:
- abstractive-qa
- speech-recognition
Dataset Card for NMSQA(Natural Multi-speaker Spoken Question Answering)
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/DanielLin94144/DUAL-textless-SQA
- Repository: https://github.com/DanielLin94144/DUAL-textless-SQA
- Paper: https://arxiv.org/abs/2203.04911
- Leaderboard:
- Point of Contact:
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @voidful for adding this dataset.