Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
conversational-qa
License:
metadata
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- expert-generated
languages:
- en
licenses:
- cc-by-sa-3-0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
- question-answering-other-conversational-qa
paperswithcode_id: sharc
pretty_name: Shaping Answers with Rules through Conversation
Dataset Card Creation Guide
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: ShARC
- Repository: If the dataset is hosted on github or has a github homepage, add URL here
- Paper: Interpretation of Natural Language Rules in Conversational Machine Reading
- Leaderboard: leaderboard
- Point of Contact: Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sebastian Riedel
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
[More Information Needed]
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
[More Information Needed]
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 @patil-suraj for adding this dataset.