The-AI-Alliance/open-trusted-data-initiative

Clarify "canonical" labels to support

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#108 opened on Mar 4, 2025

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catalogenhancementgood first issuehelp wantedopen data spec

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Description

I added two links in the references to general categories used in advertising and NLP. They are hierarchical with the lowest layers probably too fine-grained, but the higher layers could be good categories to provide canned labels for users searching for domain-specific datasets.

Other important labels include: synthetic, training, tuning, materials, healthcare, time series, science, math, tech, audio, video, multimedia, language, particular languages, etc.

Contributor guide

Research direction
Review the existing references and propose additional canonical labels based on the suggested categories.
Tech stack
None
Domain
documentationdata
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
None
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
85