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 theneuspell
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.