01Buyer request
Dataset brief
- Natural conversation audio
- Language: English
- Region: UK and US
- Volume target: 50 recordings
Request received
Training data infrastructure
Rights-cleared training data for AI models.
Buyers request custom datasets. Byser turns requests into contributor tasks. Submissions are reviewed for quality and consent. Approved data is organized for your review or delivery.
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Dataset catalog
What we collect
Rights-cleared training data from approved contributor submissions. Scoped to your modality, metadata schema, QA workflow, and delivery format—no off-the-shelf inventory claims.
CUSTOMANY MODALITYBUYER-SCOPED
Build a Custom Dataset
Create a buyer-scoped dataset around your model objective, target modality, metadata schema, annotation needs, QA requirements, and delivery format.
CUSTOMAUDIODIALOGUE
Natural English Dialogue Sets
Multi-speaker English dialogue sets with speaker-labeled transcripts, timestamped turns, accent/session metadata, optional separated-channel audio, and buyer-scoped annotations for ASR, diarization, and voice-agent evaluation.
CUSTOMAUDIOMULTILINGUAL
Cross-Language Dialogue Sets
Multilingual dialogue sets with speaker-labeled transcripts, locale metadata, language-span fields, accent or dialect notes, and aligned transcript structures for multilingual ASR and voice-agent evaluation.
CUSTOMAUDIOACCENT COVERAGE
Accent and Regional Speech Sets
Accent-focused speech sets with speaker profile metadata, region fields, prompt categories, transcript alignment, and QA status fields for ASR robustness and voice-agent coverage.
CUSTOMAUDIOLANGUAGE COVERAGE
Rare and Low-Resource Language Sets
Low-resource language speech sets with speaker metadata, language codes, transcript structure, prompt categories, QA fields, and delivery schema for multilingual ASR and coverage expansion.
CUSTOMAUDIOCOMMAND SPEECH
Instruction and Command Voice Sessions
Command-style voice sessions with prompt IDs, intent categories, correction markers, transcript alignment, speaker metadata, and QA fields for instruction-following voice systems.
How Byser fits your pipeline
From buyer brief to reviewed assets
Request work is structured for contributors. Uploads are checked before anything ships to you.
Buyer request
Structured briefs
Teams describe what they need. Byser shapes that into tasks contributors can execute against.
Contributor tasks
Real-world capture
Contributors complete scoped work: recordings, imagery, screen capture, or multimodal bundles you define.
Review and handoff
Quality and consent gates
Submissions are reviewed for suitability and consent alignment before files are packaged for buyer review.
End-to-end flow
Request to contributor to review to delivery
The same sequence your team sees in the hero: brief, tasks, submission checks, then buyer-ready packages.
01
Buyer request
Submit a dataset brief. We confirm scope and feasibility before work is assigned.
02
Contributor tasks
Tasks are created from your brief so contributors know exactly what to capture or upload.
03
Submission review
Uploads go through quality, consent, and suitability checks before approval.
04
Buyer review
Approved files are organized with metadata and consent records for your review or delivery.
Need a dataset that does not exist off the shelf?
Tell us what you are trying to collect. We will review the request and reply with a practical next step.