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Table · dataset · 2022

RiddleSense

Listed in Hugging Face Datasets

Description

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… See the full description on the dataset page: huggingface.co/datasets/pszemraj/riddlesense_plusplus.

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Where it is published

Catalogue records · 1

Topics

Stated by source
text
Inferred from text
Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetspszemraj/riddlesense_plusplus13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0