lfqa_preprocessed / README.md
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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

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.