datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
voa_myanmar_asr_audio_1
📢 This is the first publicly released ASR-ready Burmese speech dataset with over 1 million audio chunks — a milestone in the history of Myanmar language technology.
Overview
This dataset was created by scraping and segmenting the full archive of the VOA Burmese morning radio program. Out of a total of 3,687 full-length MP3 broadcasts, this release processes 3,267 of them, resulting in approximately 1.8 million sentence-level audio chunks, totaling ~3,267 hours of segmented audio.… See the full description on the dataset page: https://huggingface.co/datasets/freococo/voa_myanmar_asr_audio_1.rohingya_asr_audioThis is the first public Rohingya language ASR dataset in AI history.
Overview
This dataset contains broadcast audio recordings from the Voice of America (VOA) Rohingya Service. Each file represents a daily news segment, typically 30 minutes in length, automatically segmented into chunks of 5–15 seconds for use in self-supervised ASR, pretraining, language identification, and more.
The content was aired publicly as part of VOA’s Rohingya-language radio program and is therefore… See the full description on the dataset page: https://huggingface.co/datasets/freococo/rohingya_asr_audio.mon_language_asr_audio
RFA Mon Language Voices
This dataset contains 14.8 hours of audio in the Mon language, sourced from news broadcasts by Radio Free Asia (RFA) Burmese. This is one of the largest publicly accessible audio resources for the Mon language, designed to support research in low-resource automatic speech recognition (ASR), voice activity detection, and other speech-related tasks.
This dataset was created by freococo.
The audio has been automatically segmented into 3,634 manageable chunks and… See the full description on the dataset page: https://huggingface.co/datasets/freococo/mon_language_asr_audio.karenni_language_asr_audio
RFA Karenni (Kayah) Language Voices
This dataset contains 17 hours of audio in the Karenni (Kayah) language, sourced from news broadcasts by Radio Free Asia (RFA) Burmese. This is one of the largest publicly accessible audio resources for the Karenni language family, designed to support research in low-resource automatic speech recognition (ASR), voice activity detection, and other speech-related tasks.
This dataset was created by freococo.
The audio has been automatically segmented… See the full description on the dataset page: https://huggingface.co/datasets/freococo/karenni_language_asr_audio.kachin_asr_audio
Dataset Summary
This is the first public Kachin language ASR dataset in history.
Kachin ASR Audio is a collection of speech data in the Kachin (Jinghpaw) language, sourced entirely from publicly available PVTV (People’s Voice Television) broadcasts. The dataset includes narration, interviews, and spoken reports intended to support the development of automatic speech recognition (ASR) systems for rare-resource indigenous languages in Myanmar.
Each audio file is paired with metadata… See the full description on the dataset page: https://huggingface.co/datasets/freococo/kachin_asr_audio.voa_myanmar_asr_audio_2⸻
Overview
This dataset was created by scraping and segmenting over 4,000 episodes of the VOA Burmese morning radio program. From that archive, 3,687 MP3 files were extracted and processed. This dataset contains sentence-level audio chunks suitable for ASR and speech-related model training.
The current release (voa_batch_001.tar and voa_batch_003.tar) contains a combined total of ~152,300 sentence-level audio chunks derived from the first 420 MP3 files in the archive, totaling… See the full description on the dataset page: https://huggingface.co/datasets/freococo/voa_myanmar_asr_audio_2.