metadata

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

Dataset Card for "lfqa_preprocessed"

Table of Contents
Dataset Description
- Dataset Summary
Dataset Structure
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": "what's the difference between a forest and a wood?",
    "answer": "They're used interchangeably a lot. You'll get different answers from different resources, but the ...",
    "context": [
        "Wood is divided, according to its botanical origin, into two kinds: softwoods, ...",
        "Processing and products differs especially with regard to the distinction between softwood and hardwood ..."
    ]
}

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	validation
	226147	3020

Additional Information

Licensing Information

This dataset is distributed under the MIT licence.