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TL/ZTT 快慢刀数据集

Append dataset

python ./append_to_dataset.py "https://www.youtube.com/watch?v=Rfsxbw5bHgk&pp=0gcJCaIKAYcqIYzv" --ass '/home/metricv/tl-whisper-dyncut/ass/intel_is_so_back.en.ass-translated.ass'

Build and push dataset

./prepare_audio_dataset.py --max-merge-duration 20 --push-to-hub metricv/tl-whisper-new

Train Whisper

python ./train-whisper.py

Build translation SFT JSONL

uv run build_translation_sft_jsonl.py --ass-dir ass --output translation_sft.jsonl --max-chars 2000

--max-chars controls chunk size (lower = shorter samples).

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