README.md

metadata

paperswithcode_id: coqa

Dataset Card for "coqa"

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: https://stanfordnlp.github.io/coqa/
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 55.40 MB
• Size of the generated dataset: 18.35 MB
• Total amount of disk used: 73.75 MB

Dataset Summary

CoQA: A Conversational Question Answering Challenge

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

• Size of downloaded dataset files: 55.40 MB
• Size of the generated dataset: 18.35 MB
• Total amount of disk used: 73.75 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "answers": "{\"answer_end\": [179, 494, 511, 545, 879, 1127, 1128, 94, 150, 412, 1009, 1046, 643, -1, 764, 724, 125, 1384, 881, 910], \"answer_...",
    "questions": "[\"When was the Vat formally opened?\", \"what is the library for?\", \"for what subjects?\", \"and?\", \"what was started in 2014?\", \"ho...",
    "source": "wikipedia",
    "story": "\"The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, l..."
}

Data Fields

The data fields are the same among all splits.

default

• source: a string feature.
• story: a string feature.
• questions: a list of string features.
• answers: a dictionary feature containing:
  • input_text: a string feature.
  • answer_start: a int32 feature.
  • answer_end: a int32 feature.

Data Splits

name	train	validation
default	7199	500

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

@InProceedings{SivaAndAl:Coca,
       author = {Siva, Reddy and Danqi, Chen and  Christopher D., Manning},
        title = {WikiQA: A Challenge Dataset for Open-Domain Question Answering},
      journal = { arXiv},
         year = {2018},

}

Contributions

Thanks to @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham, @ojasaar, @lhoestq for adding this dataset.