README.md

metadata

license: mit
task_categories:
  - question-answering
  - sentence-similarity
language:
  - en
size_categories:
  - 100K<n<1M

Dataset Card for "NLQuAD"

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Additional Information
  • Licensing Information

Dataset Description

• Homepage: https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb

Dataset Summary

This is a simplified version of vblagoje's lfqa_support_docs and lfqa datasets. It was generated by me to have a more straight forward way to train Seq2Seq models on context based long form question answering tasks.

Dataset Structure

Data Instances

An example of 'train' looks as follows.

{
    "question": "Khashoggi murder: Body 'dissolved in acid'",
    "answer": "2 November 2018",
    "context": [

    ]
}

Data Fields

The data fields are the same among all splits.

• question: a string feature.
• answer: a string feature.
• context: a list feature containing string features.

Data Splits

name	train	test	validation
	10259	1280	1280

Additional Information

Licensing Information

This dataset is distributed under the MIT licence.