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_all.wer_10.0.vectorizedwhisper_transcriptions.reazon_speech_allwhisper_transcriptions.mls.wer_10.0.vectorizedwhisper_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.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.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.sp500_earnings_transcripts
S&P 500 Earnings Transcripts Dataset
This comprehensive dataset contains earnings call transcripts for S&P 500 companies and US large-caps, spanning from 2005 to 2025. Earnings calls provide valuable insights into company performance, strategic initiatives, and management perspectives that are essential for financial analysis, natural language processing research, and market sentiment studies.
Dataset Description
This collection includes:
Complete transcripts: Full… See the full description on the dataset page: https://huggingface.co/datasets/Bose345/sp500_earnings_transcripts.Vaani-transcription-partThis dataset is part of the Vaani dataset and consists of only transcribed speech data. It has a total duration of 2041.54 hours, covering 59 languages.
This table represents the audio and transcription duration data for various languages.
Language
Angami
Angika
Ao
Assamese
Awadhi
Bajjika
Bearybashe
Bengali
Bhili
Bhojpuri
Bundeli
Chakhesang
Chakma
Chhattisgarhi
English
Garhwali
Garo
Gondi
Gujarati
Halbi
Haryanvi
Hindi
IduMishmi
Kannada
Kashmiri
Karbi
Khariboli
Khortha
Kokborok
Konkani… See the full description on the dataset page: https://huggingface.co/datasets/ARTPARK-IISc/Vaani-transcription-part.whisper_transcriptions.reazonspeech.all.wer_10.0.vectorizedwavepulse-radio-summarized-transcripts
WavePulse Radio Summarized Transcripts
Dataset Summary
WavePulse Radio Summarized Transcripts is a large-scale dataset containing summarized transcripts from 396 radio stations across the United States, collected between June 26, 2024, and October 3, 2024. The dataset comprises approximately 1.5 million summaries derived from 485,090 hours of radio broadcasts, primarily covering news, talk shows, and political discussions.
The raw version of the transcripts is available… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/wavepulse-radio-summarized-transcripts.earnings-call-transcriptslanguage:
en
tags:
finance
earnings-calls
transcripts
nlp
llm
rag
financial-analysis
license: other
pretty_name: Earnings Call Transcripts
size_categories:
- 10K<n<100K
Earnings Call Transcripts Dataset
A cleaned financial NLP dataset containing earnings call transcripts collected from publicly available earnings call pages.
Dataset Overview
This dataset contains:
Company earnings call transcripts
Ticker symbols
Earnings quarters
Earnings years
Call dates… See the full description on the dataset page: https://huggingface.co/datasets/Rogersurf/earnings-call-transcripts.whisper_transcriptions.reazon_speech_all.wer_10.0whisper_transcriptions.mlssp500-earnings-transcripts
S&P 500 Earnings Call Transcripts
Dataset Description
This dataset provides earnings call transcripts for S&P 500 companies, primarily covering 2014-2024, along with quarterly financial metrics and company fundamentals.
📄 Paper: This dataset was prepared for and used in Ca'Zorzi, Manu, Lopardo. Verba Volant, Transcripta Manent: What Corporate Earnings Calls Reveal About the AI Stock Rally. No. 3093. European Central Bank, 2025.
Coverage Statistics
Time… See the full description on the dataset page: https://huggingface.co/datasets/glopardo/sp500-earnings-transcripts.sp500_earnings_transcripts
S&P 500 Earnings Transcripts Dataset
This comprehensive dataset contains earnings call transcripts for S&P 500 companies and US large-caps, spanning from 2005 to 2025. Earnings calls provide valuable insights into company performance, strategic initiatives, and management perspectives that are essential for financial analysis, natural language processing research, and market sentiment studies.
Dataset Description
This collection includes:
Complete transcripts: Full… See the full description on the dataset page: https://huggingface.co/datasets/kurry/sp500_earnings_transcripts.kumawood-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.large.wer_10.0transcripts
My Weird Prompts — Transcript Corpus
Every published transcript from the My Weird Prompts
podcast, shaped for textual analysis: narrowed metadata, the full transcript, the
same transcript segmented into speaker turns, and per-episode text statistics.
5,329 episodes · 464,859 speaker turns. Rebuilt daily from the
production database.
Configs
from datasets import load_dataset
episodes = load_dataset("My-Weird-Prompts/transcripts", "episodes", split="train") # one… See the full description on the dataset page: https://huggingface.co/datasets/My-Weird-Prompts/transcripts.kumawood-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_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.arc_whisper_transcriptions.reazonspeech.small.wer_10.0.vectorized
Dataset Card for "arc_whisper_transcriptions.reazonspeech.small.wer_10.0.vectorized"
More Information needed
whisper_transcriptions.reazonspeech.largewhisper_transcriptions.reazonspeech.mediumindonesian-voice-transcription-1.4.9a-rindonesian-voice-transcription-1.4.9a.2entity-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.pair_tamil_malayalam_ipa_transcription_romanized