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Published August 25, 2020 | Version 1

Cause-Effect-Context from Natural Questions (NQ-CE)

  • 1. RPI
  • 2. IBM Research

Contributors

  • 1. RPI
  • 2. IBM Research

Description

This dataset is derived from the Natural Questions (NQ) dataset which is a large benchmark for open question answering research (https://ai.google.com/research/NaturalQuestions).

This dataset contains a collection of cause-effect pairs along with their context (the text describing the causal relation between the cause and the effect) as well as the original question in the NQ data set.

This dataset is constructed by filtering questions in the NQ dataset that follow a certain pattern indicating that the question is causal. Either the cause or the effect is the (short) answer in the original NQ dataset, and the other side is manually derived from the context.

The data is shared in JSONL format with every line being a processed NQ question with relevant fields described above.

License: https://creativecommons.org/licenses/by-sa/3.0/

Contacts:
Gaurav Dass: dassg2 AT rpi.edu
Oktie Hassanazadeh

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