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Data · dataset · 2026

cowWhySo/unslop-pairs

Listed in Hugging Face Datasets

Description

unslop-pairs Paired human / AI-slop text samples for training a model to detect and reverse "AI slop" (the tics of unedited LLM prose: hedging, bullet-itis, corporate throat-clearing, inflated vocabulary) while preserving the original meaning. Each pair is a human-written passage from a public corpus alongside a synthetic rewrite pushed toward a specific slop style, then fact-checked by an independent judge model. Ships in four formats: SFT chat pairs, Alpaca-format instructions… See the full description on the dataset page: huggingface.co/datasets/cowWhySo/unslop-pairs.

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Where it is published

Catalogue records · 1

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Inferred from text
Text 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetscowWhySo/unslop-pairs15 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].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:text-generationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
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