datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
whisper_transcriptions.reazon_speech_allwhisper_transcriptions.mls.wer_10.0whisper_transcriptions.reazonspeech.allwhisper_transcriptions.reazonspeech.all.wer_10.0linustechtips-transcript-audio
Dataset Card for "linustechtips"
Dataset Summary
This dataset is created by applying whisper to the videos of the Youtube channel Linus Tech Tips. The dataset was created a medium size whisper model.
Languages
Language: English
Dataset Structure
The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips.
Data Fields
The dataset is composed by:
id: Id of the youtube video.
channel: Name of the… See the full description on the dataset page: https://huggingface.co/datasets/Whispering-GPT/linustechtips-transcript-audio.lex-fridman-podcast-transcript-audio
Dataset Card for "lexFridmanPodcast-transcript-audio"
Dataset Summary
This dataset is created by applying whisper to the videos of the Youtube channel Lex Fridman Podcast. The dataset was created a medium size whisper model.
Languages
Language: English
Dataset Structure
The dataset contains all the transcripts plus the audio of the different videos of Lex Fridman Podcast.
Data Fields
The dataset is composed by:
id: Id of the youtube… See the full description on the dataset page: https://huggingface.co/datasets/Whispering-GPT/lex-fridman-podcast-transcript-audio.wavepulse-radio-raw-transcripts
WavePulse Radio Raw Transcripts
Dataset Summary
WavePulse Radio Raw Transcripts is a large-scale dataset containing segment-level transcripts from 396 radio stations across the United States, collected between June 26, 2024, and Dec 29th, 2024. The dataset comprises >250 million text segments derived from 750,000+ hours of radio broadcasts, primarily covering news, talk shows, and political discussions.
The summarized version of these transcripts is available here. For… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/wavepulse-radio-raw-transcripts.whisper_transcriptions.mlskumawood-speech-transcriptions
Kumawood Speech Transcriptions
Speech segments from Ghanaian films, each paired with the film's human-authored
English subtitle and a machine Twi transcript.
Total number of hours 249.8 hours
Fields
field
meaning
audio
16 kHz mono FLAC segment
text
English subtitle displayed during the segment (human-authored, recovered by OCR)
twi_text
Twi transcript from Google STT (ak) — machine output
twi_words_per_sec
transcript words per second of audio… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/kumawood-speech-transcriptions.youtube-transcriptionsThe YouTube transcriptions dataset contains technical tutorials (currently from James Briggs, Daniel Bourke, and AI Coffee Break) transcribed using OpenAI's Whisper (large). Each row represents roughly a sentence-length chunk of text alongside the video URL and timestamp.
Note that each item in the dataset contains just a short chunk of text. For most use cases you will likely need to merge multiple rows to create more substantial chunks of text, if you need to do that, this code snippet will… See the full description on the dataset page: https://huggingface.co/datasets/jamescalam/youtube-transcriptions.youtube_transcriptions
Dataset Description
A speech dataset of Uzbek language audio clips sourced from YouTube videos. Audio segments were extracted, separated by speaker using vocal isolation, and transcribed using Google's Gemini 2.0 Flash model. Speaker identities were clustered using ECAPA-TDNN embeddings.
Use Cases
Automatic Speech Recognition (ASR) for Uzbek
Text-to-Speech (TTS) synthesis for Uzbek
Fine-tuning speech models on Uzbek language data (e.g., Qwen3-TTS)
Speaker-conditioned TTS… See the full description on the dataset page: https://huggingface.co/datasets/openbank-uz/youtube_transcriptions.whisper_transcriptions.reazon_speech_all.wer_10.0whisper_transcriptions.reazonspeech.largekumawood-speech-transcriptions
Kumawood Speech Transcriptions
Speech segments from Ghanaian films, each paired with the film's human-authored
English subtitle and a machine Twi transcript.
Total number of hours 249.8 hours
Fields
field
meaning
audio
16 kHz mono FLAC segment
text
English subtitle displayed during the segment (human-authored, recovered by OCR)
twi_text
Twi transcript from Google STT (ak) — machine output
twi_words_per_sec
transcript words per second of audio… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/kumawood-speech-transcriptions.whisper_transcriptions.reazonspeech.mediumsynthetic_transcript_pt
Portuguese Speech Dataset with Multiple Training Configurations
A comprehensive Portuguese speech dataset offering three distinct training configurations for speech recognition research, each designed for different experimental scenarios and training paradigms.
🎯 Dataset Configurations Overview
This dataset provides three carefully curated subsets to enable comprehensive speech recognition research:
Configuration
Training Data
Validation
Test
Total Samples
Use Case… See the full description on the dataset page: https://huggingface.co/datasets/yuriyvnv/synthetic_transcript_pt.transcription-corpus
UN Transcription Corpus
Two splits of UN meeting audio paired with official verbatim records.
Splits
sessions — Whole meeting sessions (SC + GA plenary)
One row per meeting. Audio from UN Web TV, verbatim records from documents.un.org.
Column
Description
symbol
UN document symbol, e.g. S/PV.9826
webtv_url
URL on UN Web TV
duration_ms
Session duration in milliseconds
num_speakers
Number of speaker turns in the verbatim record
audio_floor
Floor… See the full description on the dataset page: https://huggingface.co/datasets/united-nations/transcription-corpus.indonesian-voice-transcription-1.4.9a-rwhisper_transcriptions.reazonspeech.large.wer_10.0entity-transcription-benchmark
Entity Transcription Benchmark
Measures whether a speech recognition system transcribes named entities
correctly — as distinct from word error rate.
WER weights every token equally. The tokens that matter for redaction, lookup,
routing and search are proper nouns, and they are a small fraction of any
transcript. A system can improve WER while getting worse at exactly the words a
downstream consumer needs, and nothing in the standard evaluation will show it.
2,151 clips, 6.0… See the full description on the dataset page: https://huggingface.co/datasets/modulate/entity-transcription-benchmark.indonesian-voice-transcription-1.4.9a.2yannick-kilcher-transcript-audio
Dataset Card for "yannic-kilcher-transcript-audio"
Dataset Summary
This dataset is created by applying whisper to the videos of the Youtube channel Yannic Kilcher. The dataset was created a medium size whisper model.
Languages
Language: English
Dataset Structure
The dataset contains all the transcripts plus the audio of the different videos of Yannic Kilcher.
Data Fields
The dataset is composed by:
id: Id of the youtube video.
channel:… See the full description on the dataset page: https://huggingface.co/datasets/Whispering-GPT/yannick-kilcher-transcript-audio.ami_ihm_with_transcriptsnoagenda-transcripts
noagenda transcripts
This is the dataset for transcripts of the noagendashow.net podcast. The transcripts are in the data folder.
It also contains the source code for generating the transcripts, and the source code for the noagenda-transcripts.net website which searches the transcripts and plays the audio clips for each search result and takes you to the location in the transcript.
The code in the repo consists of 2 main parts:
A Go CLI for transcribing the audio, creating the… See the full description on the dataset page: https://huggingface.co/datasets/surry-hills-druid/noagenda-transcripts.apptek_callcenter_dialogues_travel_hospitality_no_transcripts
AppTek Call-Center Dialogues — Travel and Hospitality (No Transcripts)
This is a filtered derivative of AppTek Call-Center Dialogues, prepared for a specific use case.
Changes from the source dataset
Restricted the dataset to the travel and hospitality domains.
Removed the transcript field (text) entirely.
Kept the original audio and the domain, gender, and accent metadata.
Preserved the source dataset's test split.
This dataset has transcripts removed and is… See the full description on the dataset page: https://huggingface.co/datasets/josemancharo/apptek_callcenter_dialogues_travel_hospitality_no_transcripts.indonesian-voice-transcription-1.4.85aindonesian-voice-transcription-1.3.9cindicvoices_hi_tagged_transcripts
Dataset Card for indicvoices_hi_tagged_transcripts
Dataset Description
This dataset contains audio files and their corresponding transcriptions in Hindi for automatic speech recognition (ASR) tasks.
Languages
The dataset is primarily in Hindi.
Data Collection
The dataset was collected through automated processes and manual transcription.
Dataset Structure
The dataset contains:
Audio files (.wav format)
Transcriptions
Duration information… See the full description on the dataset page: https://huggingface.co/datasets/WhissleAI/indicvoices_hi_tagged_transcripts.indonesian-voice-transcription-1.4.9rcvindonesian-voice-transcription-1.4.9a