Datasets:

adimyth
/

indic-smart-turn-data

license: cc-by-4.0
language:
  - hi
  - mr
  - ta
  - kn
  - ml
  - gu
  - pa
  - te
  - as
  - or
  - bn
task_categories:
  - audio-classification
pretty_name: Indic Smart Turn data

Indic Smart Turn data

Turn-boundary labels for training an Indic end-of-turn detector with the Pipecat Smart Turn v3.

Source audio is ai4bharat/IndicVoices (CC BY 4.0), conversational rows only: one speaker's side of real two-party phone calls, split into transcript segments.

Files

index/<lang>.parquet: conversational rows selected per language (shard, row, session, chunk, speaker, duration, text). No audio.
labels/<lang>.jsonl: text label per segment end, from an LLM reading the ordered transcript of a session (endpoint_bool, llm_conf, label_model).
labels/<lang>.audio.jsonl: Gemini audio verdict per built clip (verdict, confidence, reason), keyed by session|chunk|dataset|md5(audio)[:10]. This is the primary label. Includes verdicts for pause-cut clips (dataset ends in _pausecut).
built/<lang>.parquet: 8 s 16 kHz WAV clips (audio struct of bytes) with endpoint_bool (Gemini audio verdict, primary), text_label, audio_conf, audio_reason, ambiguous, spoken_text, speaker_id, session, chunk, and a speaker-disjoint split (train, dev, test, test_ambiguous). Pause-cut rows (dataset ends in _pausecut) are kept only when the audio verdict is incomplete. 50,421 samples in total.

Languages: Hindi, Marathi, Tamil, Kannada, Malayalam, Gujarati, Punjabi, Telugu, Assamese, Odia, Bengali (ISO-639-3 codes in file names).

How labels were made

See the project repository for the full method and code. Short version: a text LLM reads each session's transcript and labels every segment end complete/incomplete; gemini-3.7-flash then hears every built clip and gives the deciding verdict. Text and audio agree on 89.5–93.3% of segments per language; only 39–50% of pause-cut clips are truly incomplete, so pause-cuts are kept only when the audio verdict says incomplete.

Attribution: AI4Bharat (IndicVoices), SPRING Lab IIT Madras / TamilEOT, Pipecat.