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Release Date: 11/11/2026
Format: FLAC, TSV
Size: 32.32 MB
What it is. "Dataset Audio Perkataan Vulgar Bahasa Jawa Dialek Surabaya" (Hugging Face Jaal047/profanity-speech-suroboyoan, revision e2f7c810; https://huggingface.co/datasets/Jaal047/profanity-speech-suroboyoan): short recordings in the Surabaya (Suroboyoan, East Java) variety of Javanese with transcripts, built for profanity-detection research. Licence. CC BY-SA 4.0 (dataset card). Attribution: Rijal Akhdan Khairulah (dataset author, as named on the card). This package is a re-publication of the subset we used, under the same licence (share-alike). Contents. 300 clips (0.72 h) as 16 kHz mono FLAC under audio/train/ (250 clips) and audio/test/ (50 clips), the source's two splits, both of which we trained on; manifest.tsv gives file, duration, transcript as distributed and split. Clips longer than 30 s were excluded from training by the trainer; they are included here unchanged. Targets passed through the competition's own text normaliser at training time; the text in manifest.tsv is as distributed by the source. Context. Lost In Transcription: Indonesian-Javanese Track (Mozilla Data Collective / DrivenData, Sept–Oct 2026); prize-finalist submission id-3284 (University of Hawaii at Manoa). Published at the close of the competition to satisfy the rule that external training data be made available on the Mozilla Data Collective. Contact. Samuel Watson, University of Hawaii at Manoa — [email protected] by the University of Hawaii at Manoa team at the close of the Lost In Transcription competition to satisfy the rule that external training data be made available on the Mozilla Data Collective. The package holds the audio of the subset we trained on, a manifest (file, duration, transcript), a datasheet, the licence and SHA-256 sums of every file. The data are re-published under their original open licence with attribution to the original creators (see DATASHEET.md and LICENSE).
Licensing
Creative Commons Attribution Share Alike 4.0 International (CC-BY-SA-4.0)
https://spdx.org/licenses/CC-BY-SA-4.0.htmlNone beyond the source licence (CC-BY-SA-4.0): attribution to the original creators is required and derivatives must be shared under the same licence.
No prohibitions beyond the source licence.
Intended Use
Training and evaluation of speech-recognition models; ASR research. Re-publication of an openly licensed corpus subset.
What it is. "Dataset Audio Perkataan Vulgar Bahasa Jawa Dialek Surabaya" (Hugging Face Jaal047/profanity-speech-suroboyoan, revision e2f7c810; https://huggingface.co/datasets/Jaal047/profanity-speech-suroboyoan): short recordings in the Surabaya (Suroboyoan, East Java) variety of Javanese with transcripts, built for profanity-detection research.
Licence. CC BY-SA 4.0 (dataset card). Attribution: Rijal Akhdan Khairulah (dataset author, as named on the card). This package is a re-publication of the subset we used, under the same licence (share-alike).
Contents. 300 clips (0.72 h) as 16 kHz mono FLAC under audio/train/ (250 clips) and audio/test/ (50 clips), the source's two splits, both of which we trained on; manifest.tsv gives file, duration, transcript as distributed and split. Clips longer than 30 s were excluded from training by the trainer; they are included here unchanged. Targets passed through the competition's own text normaliser at training time; the text in manifest.tsv is as distributed by the source.
Context. Lost In Transcription: Indonesian-Javanese Track (Mozilla Data Collective / DrivenData, Sept–Oct 2026); prize-finalist submission id-3284 (University of Hawaii at Manoa). Published at the close of the competition to satisfy the rule that external training data be made available on the Mozilla Data Collective.
Contact. Samuel Watson, University of Hawaii at Manoa — [email protected]
Package. 300 files / 0.72 h. Package sha256: a3fdd66cc5d89ab72a2f565eb87b152c3226e69fcf4c96dada66939610586dcd.
