Dataset · Hugging Face

nyralabs/disfluency_speech_english

Name: disfluency_speech_english
Creator: nyralabs
License: apache-2.0
Keywords: task_categories:automatic-speech-recognition, language:en, license:apache-2.0, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:audio, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2406.08820, region:us

Nyra Disfluency Speech English nyrahealth/disfluency_speech_english is an English speech dataset for evaluating verbatim ASR: models that should transcribe not only the intended words, but also fillers, cutoffs, repetitions, and sound events. This dataset is based on the AMAAI Lab DisfluencySpeech dataset and reformatted for verbatim-transcription benchmarking with paired: verbatim_transcript: what the speaker actually said intended_transcript: a cleaned version of what the… See the full description on the dataset page: https://huggingface.co/datasets/nyralabs/disfluency_speech_english.

View on Hugging FaceReport an issue

Author / organization	nyralabs
License (as declared)	apache-2.0
Downloads	237 (as reported by Hugging Face)
Likes	4
Created	7 April 2026
Last updated at source	15 July 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/f4693a79-8761-42a5-a984-3a94bcba7dbc" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

237 now (-21 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from nyralabs

nyralabs/disfluency_speech_germanDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.