docs: describe built parquet schema

README.md

@@ -16,7 +16,7 @@ Source audio is [ai4bharat/IndicVoices](https://huggingface.co/datasets/ai4bhara
 - `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` (added after the merge step): 8 s 16 kHz WAV clips with both labels, `ambiguous`, speaker-disjoint `split`.
+- `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).