voa
Datasets
All datasets matching “voa”voa-2-opus
Voice of America 2 for 🇺🇦 Ukrainian (OPUS)
Community
Discord: https://bit.ly/discord-uds
Speech Recognition: https://t.me/speech_recognition_uk
Speech Synthesis: https://t.me/speech_synthesis_uk
Stats
Total files processed: x
Total duration: x
voa-opus
Voice of America for 🇺🇦 Ukrainian (OPUS)
Community
Discord: https://bit.ly/discord-uds
Speech Recognition: https://t.me/speech_recognition_uk
Speech Synthesis: https://t.me/speech_synthesis_uk
Stats
Total files processed: 326174
Total duration: 390h 59m 54s
Other
Labels generated by https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3
voa_myanmar_voices
VOA Myanmar Voices
Burmese (Myanmar) speech corpus chunked into 20-second FLAC clips with transcripts. Derived from VOA Burmese radio broadcasts (public domain, U.S. 17 U.S.C. § 105).
Contents
File
Size
Description
voa-00000000.tar … voa-00000238.tar
498 GB
149 WebDataset shards
voa_transcripts.parquet
404 MB
1,424,257 (key, text) pairs
voa_transcripts.jsonl
1.5 GB
Same data, line-oriented
Audio: 16 kHz mono FLAC, exactly 20.00 s per chunk… See the full description on the dataset page: https://huggingface.co/datasets/freococo/voa_myanmar_voices.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.hausa_voa_topics
Dataset Card for Hausa VOA News Topic Classification dataset (hausa_voa_topics)
Dataset Summary
A news headline topic classification dataset, similar to AG-news, for Hausa. The news headlines were collected from VOA Hausa.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Hausa (ISO 639-1: ha)
Dataset Structure
Data Instances
An instance consists of a news title sentence and the corresponding topic label.… See the full description on the dataset page: https://huggingface.co/datasets/UdS-LSV/hausa_voa_topics.hausa_voa_nerThe Hausa VOA NER dataset is a labeled dataset for named entity recognition in Hausa. The texts were obtained from
Hausa Voice of America News articles https://www.voahausa.com/ . We concentrate on
four types of named entities: persons [PER], locations [LOC], organizations [ORG], and dates & time [DATE].
The Hausa VOA NER data files contain 2 columns separated by a tab ('\t'). Each word has been put on a separate line and
there is an empty line after each sentences i.e the CoNLL format. The first item on each line is a word, the second
is the named entity tag. The named entity tags have the format I-TYPE which means that the word is inside a phrase
of type TYPE. For every multi-word expression like 'New York', the first word gets a tag B-TYPE and the subsequent words
have tags I-TYPE, a word with tag O is not part of a phrase. The dataset is in the BIO tagging scheme.
For more details, see https://www.aclweb.org/anthology/2020.emnlp-main.204/