atc-validation-v2

Speech dataset prepared with Trelis Studio.

Statistics

Metric	Value
Source files	1
Validation samples	13
Total duration	5.0 minutes

Columns

Column	Type	Description
audio	Audio	Audio segment (16kHz) - speech only, silence stripped via VAD
text	string	Plain transcription (no timestamps) - backwards compatible
text_ts	string	Transcription WITH Whisper timestamp tokens (e.g., `<
start_time	string	Segment start in original audio (HH:MM:SS.mmm)
end_time	string	Segment end in original audio (HH:MM:SS.mmm)
speech_duration	float	Duration of speech in segment (excluding silence)
word_timestamps	list	Word-level timestamps (relative to speech-only audio)
source_file	string	Original audio filename

VAD Processing

Audio segments are processed with Silero VAD to match faster-whisper inference:

• Silence is stripped from audio (only speech regions remain)
• Timestamps are relative to the concatenated speech audio
• This ensures training data matches inference behavior

Training Usage

For Whisper timestamp training, use the two-bucket approach:

• Bucket A (50%): Use text - plain transcription without timestamps
• Bucket B (50%): Use text_ts - transcription with Whisper timestamp tokens

Usage

from datasets import load_dataset

dataset = load_dataset("Trelis/atc-validation-v2")

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Prepared with Trelis Studio