Dataset · Hugging Face

category271/whispernow-cleanup

Name: whispernow-cleanup
Creator: category271
License: mit
Keywords: task_categories:text-generation, source_datasets:shantanugoel/aawaaz-transcript-cleanup-dataset, source_datasets:MagicNoThief/handy-dictation-editing, source_datasets:google-research-datasets/disfl_qa, source_datasets:edinburghcstr/ami, language:en, license:mit, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars

WhisperNow Cleanup 66,557 English pairs of a dictation transcript and its cleaned-up text, for training the local cleanup models of WhisperNow, a desktop dictation app. Examples A dictation with several self-corrections (self_correction, from aawaaz, test split): alright so the hides need to soak in the lime bath for uh three days no actually five days for these thicker buffalo hides and the ph should be around 11 no wait 12.5 to properly loosen the hair and… See the full description on the dataset page: https://huggingface.co/datasets/category271/whispernow-cleanup.

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Author / organization	category271
License (as declared)	mit
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	26 October 2026
Last updated at source	27 October 2026

dictationtranscript-cleanupspeech-to-textdisfluencysynthetic

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mradermacher/whispernow-lfm2.5-2.6b-GGUFModel · used to train
mradermacher/whispernow-qwen3.5-4b-GGUFModel · used to train
mradermacher/whispernow-lfm2.5-1.2b-GGUFModel · used to train

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