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mlc

MLCommons /peoples_speech Dataset Card for People's Speech Dataset Summary The People's Speech Dataset is among the world's largest English speech recognition corpus today that is licensed for academic and commercial usage under CC-BY-SA and CC-BY 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license. Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/peoples_speech.audioautomatic-speech-recognition1M<n<10M285 likes37k downloads2y agoHugging FaceMLCommons /unsupervised_peoples_speech Dataset Card for Unsupervised Peoples Speech Dataset Description Dataset Summary The Unsupervised Peoples Speech Dataset is a compilation of audiofiles extracted from Archive.org that is licensed for academic and commercial usage under CC-BY and CC-BY-SA licenses. It includes more than one million hours of audio with a diverse set of speakers. Point of Contact: MLCommons Datasets Discord Dataset Structure This dataset is a collection of audio… See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/unsupervised_peoples_speech.audioautomatic-speech-recognition81 likes26k downloads2y agoHugging FaceMLCommons /speech-wikimedia Dataset Card for Speech Wikimedia Dataset Summary The Speech Wikimedia Dataset is a compilation of audiofiles with transcriptions extracted from wikimedia commons that is licensed for academic and commercial usage under CC and Public domain. It includes 2,000+ hours of transcribed speech in different languages with a diverse set of speakers. Each audiofile should have one or more transcriptions in different languages. Transcription languages English German… See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/speech-wikimedia.audion<1K14 likes23k downloads3y agoHugging FaceMLCommons /peoples_speech_v1.0 Dataset Card for People's Speech Dataset Summary The People's Speech Dataset is among the world's largest English speech recognition corpus today that is licensed for academic and commercial usage under CC-BY-SA and CC-BY 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license. Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/peoples_speech_v1.0.automatic-speech-recognition8 likes4.7k downloads2y agoHugging FaceMLCommons /ml_spoken_wordsMultilingual Spoken Words Corpus is a large and growing audio dataset of spoken words in 50 languages collectively spoken by over 5 billion people, for academic research and commercial applications in keyword spotting and spoken term search, licensed under CC-BY 4.0. The dataset contains more than 340,000 keywords, totaling 23.4 million 1-second spoken examples (over 6,000 hours). The dataset has many use cases, ranging from voice-enabled consumer devices to call center automation. This dataset is generated by applying forced alignment on crowd-sourced sentence-level audio to produce per-word timing estimates for extraction. All alignments are included in the dataset.audio-classification10M<n<100M37 likes2.8k downloads4y agoHugging Facemlcglab /synwtsgated SynWTS: Synthetic Woven Traffic Safety Dataset SynWTS is a high-fidelity synthetic dataset built as a Digital Twin of the Woven Traffic Safety (WTS) dataset. It is developed for the 2026 AI City Challenge (Track 2) to advance Sim2Real research in transportation safety understanding. Dataset Summary Participants in the Sim2Real challenge must train models exclusively on this synthetic data and evaluate performance on real-world video. SynWTS provides a geometric… See the full description on the dataset page: https://huggingface.co/datasets/mlcglab/synwts.videovisual-question-answering12 likes306 downloads2mo agoHugging Face