datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nug_myanmar_asr
366 Hours NUG Myanmar ASR Dataset
The NUG Myanmar ASR Dataset is the first large-scale open Burmese speech dataset — now expanded to over 521,476 audio-text pairs, totaling ~366 hours of clean, segmented audio. All data was collected from public-service educational broadcasts by the National Unity Government (NUG) of Myanmar and the FOEIM Academy.
This dataset is released under a CC0 1.0 Universal license — fully open and public domain. No attribution required.
🕊️… See the full description on the dataset page: https://huggingface.co/datasets/freococo/nug_myanmar_asr.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_1.115hours_pvtv_myanmar_asr
115 Hours PVTV Myanmar ASR
This dataset contains 156,262 audio-transcript pairs of spoken Burmese, totaling approximately 115.31 hours. The audio segments were extracted from publicly available YouTube videos published by PVTV and aligned using subtitle timestamps.
Dedication
This dataset would not exist without the persistent voices of PVTV editors, journalists, narrators, and production teams, who continue to speak to the people under difficult conditions. PVTV is the… See the full description on the dataset page: https://huggingface.co/datasets/freococo/115hours_pvtv_myanmar_asr.myanmar_cele_voices
Myanmar Celebrity Voices
A high-quality speech dataset extracted from the official TikTok channel of Myanmar Celebrity TV.
Myanmar Celebrity Voices is a collection of 69,781 short audio segments (≈46 hours total) derived from public TikTok videos by The Official TikTok Channel of Myanmar Celebrity TV — one of the most popular digital media platforms in Myanmar.
The source channel regularly publishes:
Interviews with Myanmar’s top movie actors and actresses
Behind-the-scenes… See the full description on the dataset page: https://huggingface.co/datasets/freococo/myanmar_cele_voices.myanmar-english-accent-speech
Myanmar English Accent Speech (PVTV & FOEIM)
This dataset contains English speech by Myanmar speakers, collected from public videos published by PVTV and FOEIM — two media channels operating under the National Unity Government (NUG).
The clips reflect a wide range of spoken English contexts: interviews, announcements, sermons, and educational content. The speakers vary in tone, pace, and emotion — but all share the characteristic sound of Burmese-accented English.
This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/freococo/myanmar-english-accent-speech.google_myanmar_asr_voices
Google Myanmar ASR Dataset (WebDataset Version)
This repository provides a clean, user-friendly, and robust version of the Google Myanmar ASR Dataset, which is derived from the OpenSLR-80 Burmese Speech Corpus.
This version has been carefully re-processed into the WebDataset format. Each sample consists of a .wav audio file and a clean .json metadata file, packaged into sharded .tar archives. This format is highly efficient for large-scale training of ASR models.… See the full description on the dataset page: https://huggingface.co/datasets/freococo/google_myanmar_asr_voices.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.