Datasetpublic

niloy629/s2m-bang

s2m-bang Bangla Stage-1 speech→transcript dataset used for speech-to-LLM adapter training (Moonshine-BN encoder + LLM adapter). Splits Manifest n Role manifests/train.json 89,275 Train (Kathbath + CV/OpenSLR short + FLEURS train) manifests/dev.json 2,638 Dev manifests/dev_fast.json 256 Fast mid-train gate manifests/fleurs_test.json 920 Held-out FLEURS test manifests/cv_bn_eval.json 260 Held-out Common Voice eval Schema Each… See the full description on the dataset page: https://huggingface.co/datasets/niloy629/s2m-bang.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face

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Dataset Card

s2m-bang

Bangla Stage-1 speech→transcript dataset used for speech-to-LLM adapter training (Moonshine-BN encoder + LLM adapter).

Splits

Manifest	n	Role
`manifests/train.json`	89,275	Train (Kathbath + CV/OpenSLR short + FLEURS train)
`manifests/dev.json`	2,638	Dev
`manifests/dev_fast.json`	256	Fast mid-train gate
`manifests/fleurs_test.json`	920	Held-out FLEURS test
`manifests/cv_bn_eval.json`	260	Held-out Common Voice eval

Schema

Each JSON row:

json

{
  "video_id": "kathbath_train-00000-of-00022_000000",
  "start": 0.0,
  "end": 6.57,
  "dur": 6.57,
  "text": "...",
  "src": "kathbath",
  "wav_dir": "audio/kathbath_bn"
}

WAV path = {wav_dir}/{video_id}.wav (16 kHz mono).

Sources

—Kathbath Bengali
—Common Voice / OpenSLR short utterances
—FLEURS Bengali

Note

CV eval IDs are excluded from train. FLEURS test is never in train/dev.