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sulabhkatiyar/ne-asr-dataset-lus

Mizo (lus) — ASR dataset A small Mizo (lus) speech-to-text dataset for automatic speech recognition (ASR) of a low-resource North-East India language. Each example pairs a short audio clip with its Romanized (Latin-script) transcript. Source Derived from the ARTPARK-IISc Vaani project (https://vaani.iisc.ac.in/) Splits Split Samples train 9,850 validation 1,190 test 1,218 Data fields Each example has: audio — the… See the full description on the dataset page: https://huggingface.co/datasets/sulabhkatiyar/ne-asr-dataset-lus.

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Dataset Card

Mizo (lus) — ASR dataset

A small Mizo (lus) speech-to-text dataset for automatic speech recognition (ASR) of a low-resource North-East India language. Each example pairs a short audio clip with its Romanized (Latin-script) transcript.

Source

Derived from the ARTPARK-IISc Vaani project (https://vaani.iisc.ac.in/)

Splits

Split	Samples
train	9,850
validation	1,190
test	1,218

Data fields

Each example has:

—audio — the audio recording (16 kHz mono).
—text — the Romanized (Latin-script) transcript.
—language — the ISO 639-3 language code (lus).

Used by

This dataset trains and evaluates the paired ASR model `sulabhkatiyar/ne-asr-lus` — a character-level CTC adapter over a frozen `facebook/mms-1b-all` encoder. An augmented training variant is available at `sulabhkatiyar/ne-asr-dataset-lus-aug`.

Part of the [NE Speech AI V1](https://huggingface.co/collections/sulabhkatiyar/ne-speech-ai-v1-6a8efa7593551e32d63b876b) collection.

Limitations

—Mizo is a low-resource language; this dataset is small and may not cover the full range of speakers, dialects, domains, and recording conditions.
—Transcriptions are in Latin / Roman script (romanized); romanization conventions can introduce label noise.

License

cc-by-4.0, following the ARTPARK-IISc Vaani source dataset (https://vaani.iisc.ac.in/), from which this data is derived. Please retain that attribution and comply with the license terms when using this dataset.