03 / Data / Missing Fundamental Labs

Know what goes in.

A model’s results begin with its data. This is where we’ll document sources, preparation, and evaluation.

Data releases
Preparing our first release

Documentation
before downloads.

No datasets are published here yet. Release entries will distinguish data we can redistribute from third-party sources that must be obtained separately.

Follow the Rivet project
What we intend to document

The details matter.

01

Provenance

Source, version, language, collection context, and the rights associated with each source.

02

Preparation

Cleaning, segmentation, filtering, and the steps that turn source audio into training examples.

03

Evaluation

How the splits are defined, what is held out, and how overlap is checked.

04

Limitations

Coverage gaps, known biases, exclusions, and the uses an evaluation does not support.

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