VoxPopuli-Platinum-en-full

Complete 142,066-row / ~404-hour English VoxPopuli Platinum dataset.

Reach out to [email protected] to purchase access or discuss a larger custom-curation engagement.

Training Results

These results show why the Platinum labels matter. We compare the base model, fine-tuning on raw VoxPopuli transcripts, and fine-tuning on this internally filtered Platinum dataset. Evaluation uses the same english-spoken corpus WER setup across four held-out ASR test sets.

Qwen3-ASR-0.6B WER

Training data	VP-test	FLEURS	CV-scripted	CV-spontaneous
Base model, no fine-tune	2.39%	4.40%	7.31%	9.16%
Raw VoxPopuli transcripts	4.49%	4.70%	19.45%	16.77%
VoxPopuli Platinum	2.17%	4.02%	7.73%	9.90%

Whisper Large v3 Turbo WER

Training data	VP-test	FLEURS	CV-scripted	CV-spontaneous
Base model, no fine-tune	8.26%	4.41%	8.38%	10.93%
Raw VoxPopuli transcripts	3.77%	7.08%	15.75%	24.27%
VoxPopuli Platinum	3.12%	5.90%	11.41%	11.36%

Raw VoxPopuli labels are useful in-domain but can damage out-of-domain behavior. The Platinum set is filtered with Trelis internal heuristics to keep the useful VoxPopuli signal while rejecting or repairing label/audio mismatches. The training results above are the evidence for that quality filter; the filtering recipe itself is proprietary.

Contents

• 10 parquet shards: data/train-00000.parquet through data/train-00009.parquet
• 142,066 rows / about 404 hours
• 16 kHz English speech from VoxPopuli
• Cleaned training text
• Word-level timestamps
• Speaker IDs for every row
• Original VoxPopuli raw_text and normalized_text for auditability

Recommended Use

This dataset is suitable for ASR fine-tuning, timestamp-aware ASR experiments, captioning/alignment workflows, speaker-aware filtering, and TTS experiments. For TTS, treat it as parliamentary speech with cleaned text and speaker IDs, not as studio-recorded voice-cloning data.

Speaker IDs

source	rows	meaning
voxpopuli	91,482	Original VoxPopuli speaker ID was present and preserved
inferred_matched	16,104	Missing-source row was matched to an existing speaker identity
inferred_cluster	34,480	Missing-source row was assigned to an inferred speaker cluster

The speaker_id_source column tells you whether the speaker ID came directly from VoxPopuli or was inferred by Trelis.

Schema

field	description
id	Trelis row ID
audio	16 kHz audio
text	cleaned ASR/TTS training text
text_source	internal label-source marker
voxpopuli_id	original VoxPopuli audio_id
duration_s	clip duration
language	en
gender, accent, is_gold_transcript	source VoxPopuli metadata
voxpopuli_raw_text	original VoxPopuli raw transcript text
voxpopuli_normalized_text	original VoxPopuli normalized transcript text
word_timestamps	list of {word, start, end, score}
speaker_id	preserved or inferred speaker ID
speaker_id_source	voxpopuli, inferred_matched, or inferred_cluster

License

Commercial Trelis license required. Redistribution is not permitted.