README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
  - expert-generated
language:
  - en
license:
  - cc-by-sa-3.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - extractive-qa
paperswithcode_id: sharc
pretty_name: Shaping Answers with Rules through Conversation
tags:
  - conversational-qa
dataset_info:
  features:
    - name: id
      dtype: string
    - name: utterance_id
      dtype: string
    - name: source_url
      dtype: string
    - name: snippet
      dtype: string
    - name: question
      dtype: string
    - name: scenario
      dtype: string
    - name: history
      list:
        - name: follow_up_question
          dtype: string
        - name: follow_up_answer
          dtype: string
    - name: evidence
      list:
        - name: follow_up_question
          dtype: string
        - name: follow_up_answer
          dtype: string
    - name: answer
      dtype: string
    - name: negative_question
      dtype: bool_
    - name: negative_scenario
      dtype: bool_
  config_name: sharc
  splits:
    - name: train
      num_bytes: 15088577
      num_examples: 21890
    - name: validation
      num_bytes: 1469172
      num_examples: 2270
  download_size: 5230207
  dataset_size: 16557749

Dataset Card for Shaping Answers with Rules through Conversation

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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
  • Contributions

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.