c4-faqs / README.md
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metadata
annotations_creators:
  - no-annotation
language:
  - en
language_creators:
  - machine-generated
license:
  - odc-by
multilinguality:
  - monolingual
pretty_name: C4-FAQs
size_categories:
  - 100K<n<1M
source_datasets:
  - extended|c4
tags:
  - question-generation
  - question_generation
  - open-domain-qg
  - qg
task_categories:
  - text2text-generation
  - text-generation
  - question-answering
task_ids:
  - text-simplification
  - language-modeling
  - open-domain-qa

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

  • Homepage:
  • Repository:
  • Paper:
  • Leaderboard:
  • Point of Contact:

Dataset Summary

This dataset comprises of open-domain question-answer pairs obtained from extracting 100K FAQ URLs from C4 dataset. Please refer to the original paper and dataset card for more details.

You can load C4-FAQs as follows:

from datasets import load_dataset
c4_faqs_dataset = load_dataset("vishal-burman/c4-faqs")

Supported Tasks and Leaderboards

C4-FAQs is mainly intended for open-domain end-to-end question generation. It can also be used for open-domain question answering.

Languages

C4-FAQs only supports English language.

Dataset Structure

Data Instances

An example of a single dataset point:

{'faq_pairs': [{'question': 'What should I bring for the tour?', 'answer': 'Nothing special, just be ready to walk for bit and potentially something to protect you from poltergeists and rain. Any kind of amulet or protection stone is also welcome.'}, {'question': 'Can kids join too ?', 'answer': 'Yes, we accept kids from 6 years old and on! We also have a family discount, if you book for 2 adults and 2 kids!'}, {'question': 'Where is the meeting point ?', 'answer': 'Brussels has many paved roads and those are hardly accessible with a wheelchair, for that reason we have to unfortunately label our tour as not wheelchair accessible.'}]}

Data Fields

The data have several fields:

  • url: URL of the webpage containing the FAQs
  • faq_pairs: A list of question-answer pairs extracted from the webpage
    • question: A single question as a string
    • answer: A single answer to the above question as a string

Data Splits

subset total
train 100K

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 @github-username for adding this dataset.