← Call Datasets

Fiund / Quality & provenance

Keep the source, signal, and review connected.

A useful call datasets collection needs traceable context as well as usable files. Define what will be checked, how findings will be recorded, and which questions remain open.

Technical criteria

Category-specific acceptance starts here.

Source and scenario

Real or staged; inbound or outbound; industry, date range, and interaction types.

Audio channels

Mono mixture, stereo separation, or independent tracks; source encoding and sample rate.

Transcript scope

Verbatim or normalized text, timestamps, speaker labels, overlap, and non-speech conventions.

Permission and privacy

The specific proposed training uses, relevant source permissions, and de-identification requirements.

Review framework

Four separate questions for each collection.

Review layerWhat to establishEvidence to request
Source lineageWhere this exact file or record came from and how it relates to other versions.Stable identifiers, source references, and derivative relationships.
Technical fitWhether the recorded fields and signal support the defined model task.A representative inspection, file-level metadata, and issue records.
Annotation fitWhether labels have the required meaning, timing, and consistency.Written conventions, reviewed examples, and known limitations.
Permission scopeWhether the proposed use has been reviewed for the selected material.Project-specific source documentation and agreed terms.

Illustrative manifest

A manifest should describe the state of review.

Example structure only. These values do not describe an available collection or a completed permission review.

{
  "record_id": "illustrative-record-001",
  "source_reference": "to-be-established",
  "category": "Call Datasets",
  "specification_fields": [
    "Source and scenario",
    "Audio channels",
    "Transcript scope",
    "Permission and privacy"
  ],
  "permission_review": "requires_project_review",
  "technical_review": "not_yet_reviewed",
  "accepted_exceptions": []
}

Further reading

Read before choosing your acceptance criteria.

Your project, in focus

Tell us which conversations your voice model needs.

Speak directly with Jaeden Schafer at Fiund about the source material, specifications, and review your project needs.

Source fit, permissions, samples, pricing, and delivery are reviewed for the individual project.

Start with these details

  1. Languages, dialects, and regions
  2. Call scenarios and real-versus-staged requirements
  3. Hours, call lengths, and channel layout
  4. Transcript and redaction specifications
  5. Intended model use and licensing terms
Build your project brief ↗