datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
voice-code-bench
VoiceCodeBench
VoiceCodeBench is a test-only benchmark for evaluating whether automatic
speech recognition (ASR) systems preserve exact structured values in English
workplace speech.
Paper: VoiceCodeBench: Evaluating Exact Structured-Token Recovery in Automatic Speech Recognition
The benchmark targets cases where a transcript is software input: callback
numbers, email addresses, command-line flags, file paths, URLs, account
identifiers, dates, measurements, and similar values… See the full description on the dataset page: https://huggingface.co/datasets/besimple-ai/voice-code-bench.voice-code-bench
VoiceCodeBench
VoiceCodeBench is a test-only benchmark for evaluating whether automatic
speech recognition (ASR) systems preserve exact structured values in English
workplace speech.
Paper: VoiceCodeBench: Evaluating Exact Structured-Token Recovery in Automatic Speech Recognition
The benchmark targets cases where a transcript is software input: callback
numbers, email addresses, command-line flags, file paths, URLs, account
identifiers, dates, measurements, and similar values… See the full description on the dataset page: https://huggingface.co/datasets/yunqi1766/voice-code-bench.quantized-common-voice-encommon-voice-en-revoiceSPS-Bopha-Voice-Dataset-v1
VibeVoice Fine-Tuning Dataset: SPS-Bopha-Voice-Dataset-v1
This dataset is formatted for fine-tuning VibeVoice.
Structure
training_data.jsonl: The main manifest file containing transcriptions and paths.
chunks_staging/: Directory containing the audio clips.
Usage with VibeVoice
Clone this repository:
git clone https://huggingface.co/datasets/Tnaot/SPS-Bopha-Voice-Dataset-v1
cd SPS-Bopha-Voice-Dataset-v1
Run the training script pointing to… See the full description on the dataset page: https://huggingface.co/datasets/Tnaot/SPS-Bopha-Voice-Dataset-v1.