Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
riddle_sense
DOI:
License:
| 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](https://huggingface.co/datasets/riddle_sense) 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. | |