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metadata
annotations_creators:
  - crowdsourced
language_creators:
  - found
language:
  - en
license:
  - other
multilinguality:
  - monolingual
pretty_name: RiddleSense
size_categories:
  - 1K<n<10K
source_datasets:
  - riddle_sense
tags:
  - riddles
  - riddler
  - non-commercial

RiddleSense ++: Evaluating LLMs' Riddling abilities

Some cleaning and other modifications to make the riddle_sense dataset more suitable for training language models to generate riddles via standard text generation

Notable changes

  • reformatting to use special tags indicating the question and answer components
  • normalization: whitespace normalization, etc with clean-text
  • spell correction the original dataset has numerous spelling errors; these are fixed using BertChecker from the neuspell library for the questions only. The answers were left as-is as there is some specific terminology/puns that get changed by SC.

Notes & Gotchas

  • the original dataset has a non-commercial clause, so this does too.