Fiund / Dataset directory
A directory for a specific data need.
Podcast datasets can range from a finished episode to separate participant recordings with aligned text. These are materially different inputs for a speech pipeline. This Fiund sourcing site focuses on the formats, conversational coverage, and participant considerations that matter when evaluating podcast audio for AI.
Browse the category
Start with the intended use.
| Source focus | Project definition | Sourcing status |
|---|---|---|
| Podcast speech for recognition research | Scope long-form conversational audio and transcript requirements. | Project-specific review |
| Speaker diarization and conversational turns | Specify speaker attribution, overlapping speech, and session grouping. | Project-specific review |
| Domain-specific podcast conversation | Plan topic coverage for specialist conversational language. | Project-specific review |
| Paired podcast audio and video | Review edition matching and audiovisual synchronization. | Project-specific review |
| Publisher archive preparation | Map source recordings, contributors, and derivative files. | Project-specific review |
This directory describes sourcing options and specification questions. It is not a live inventory or a promise of available files, volume, samples, or cleared rights.
Source requirements
What belongs in the specification.
Recording level
Published episode, original session, mixed master, or independent participant tracks.
Dialogue coverage
Speaker count, recurring hosts, guest diversity, topics, languages, and recording conditions.
Editorial exclusions
Advertising, music, licensed inserts, intros, synthetic voices, and excluded contributors.
Speaker and source review
Permission scope, contributor documentation, attribution requirements, and any onward-use restrictions.
Project workflow
A reviewable route to a dataset.
Define the target
Podcast datasets can range from a finished episode to separate participant recordings with aligned text. These are materially different inputs for a speech pipeline. This Fiund sourcing site focuses on the formats, conversational coverage, and participant considerations that matter when evaluating podcast audio for AI.
Write the specification
Languages, topics, and conversation styles; Hours and preferred speaker diversity; Mixed audio or independent tracks; Transcript, diarization, and edit exclusions; Training use and participant-permission requirements. These details establish the project’s review criteria and reveal where further clarification is needed.
Review sourcing fit
Discuss which existing sources or collection approaches could address the brief. Identify access constraints, source documentation, and unanswered permission questions before treating a category as usable inventory.
Inspect representative material
Where appropriate material can be shared, agree on handling and inspect it against the specification. Record defects, coverage gaps, and annotation questions against exact source identifiers.
Agree the project scope
Confirm the selected material, intended uses, preparation work, acceptance criteria, commercial terms, and delivery arrangements in a project-specific agreement.
Review the handoff
Check file references, manifests, documented processing, and accepted exceptions. Keep permission review and technical acceptance explicit, and resolve open issues before the collection is treated as approved for the intended use.
Common questions
Before you source.
Does a publicly available podcast come with AI training permission?
Public availability does not establish permission for a particular commercial training use. Ask which parties control the relevant material and what documentation supports the proposed license.
Can I request participant tracks instead of the finished episode?
Yes. Include that requirement. A published mix cannot be assumed to have recoverable original speaker tracks; availability depends on the source recordings and the owner’s delivery options.
Should I count episodes or unique conversations?
Include both where useful. An episode may be an excerpt, compilation, or alternate edit of a recording. Source session identifiers help distinguish unique conversations from multiple published versions.