RS Glossary
Dataset
A dataset is a structured collection of data used for training, testing, evaluation, or analysis.
- Review state
- Reviewed in POC
- Freshness
- Current
- Version
- 2
- Dataset
- Data Set
Remember it this wayA dataset is a designed collection, not raw reality.
In plain language
A dataset is an organized collection of examples used for training, testing, evaluation, or analysis. Its records may contain inputs, labels, metadata, or other measurements.
Why it matters
A model inherits important limits from the data selected, excluded, labeled, and maintained. Dataset provenance and intended use are therefore part of system quality, not clerical detail.
Example
A maintenance dataset contains equipment photos, failure labels, capture dates, locations, and the inspection method used to verify each label.
Common misconception
A dataset is not neutral simply because it is large. Collection choices, missing groups, label quality, and leakage can shape the result.
Related terms
Sources
- Google for Developers, “Machine Learning Glossary”provides established boundaries for core machine-learning vocabulary.
- NIST, “The Language of Trustworthy AI”provides a use-case-neutral vocabulary foundation for AI and machine learning.
Learn more
- Compare [[training-data|Training Data]], [[data-provenance|Data Provenance]], [[synthetic-data|Synthetic Data]], and [[data-leakage|Data Leakage]] to place Dataset in the surrounding system.
- Follow the cited source material above for the method, standard, or research context behind this draft.
Public history
23 recorded events · 23 public summaries
A potential shared concept was discussed and selected for initial glossary drafting.
The captured candidate received a complete initial draft and entered section-level human review.
Radar reviewed the initial definition draft for human consideration.
Radar reviewed the initial plain-language-explanation draft for human consideration.
Radar reviewed the initial why-it-matters draft for human consideration.
Radar reviewed the initial example draft for human consideration.
Radar reviewed the initial common-misconception draft for human consideration.
Radar reviewed the initial remember-it-this-way draft for human consideration.
Radar reviewed the initial related-terms draft for human consideration.
Radar reviewed the initial sources draft for human consideration.
Radar reviewed the initial learn-more draft for human consideration.
Definition review recorded as approve.
Plain-Language Explanation review recorded as approve.
Why It Matters review recorded as approve.
Example review recorded as approve.
Common Misconception review recorded as approve.
Remember It This Way review recorded as approve.
Related Terms review recorded as approve.
Sources review recorded as approve.
Learn More review recorded as approve.
Sources review recorded as replace.
Radar verified the learner-facing sources after personal origin provenance was removed.
All nine current wording approvals were reconciled to Approved term status.
Source: vault/Glossary/terms/dataset/term.md · sha256:75a0940963ea29d5333196d122eb5261943543254087b19e59cdd98c1f8b9061 · Release: rs-glossary-glossary-team-poc-0.5.5-2026-09-02