Training data & datasets
Publication dates and source age
Sources counted: 2
Publication dates are unavailable.
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Open in the glossary Reading notes · Structured record
In plain language
Examples used to adjust a model. Their choice affects what the model learns. [1]
Reference this explanation or suggest a correction
Link to this explanation · Suggest a correction · How corrections work
Limits & distinctions
A large dataset can still miss relevant situations. Testing on duplicated training examples can make a model look better than it is on new data. [1] [2]
Reference this explanation or suggest a correction
Link to this explanation · Suggest a correction · How corrections work
A fuller explanation
A dataset is a collection of examples, such as text or images. The training portion is used to fit the model; separate validation and test portions help assess its performance. [1] [2]
Reference this explanation or suggest a correction
Link to this explanation · Suggest a correction · How corrections work
How it relates to the map
Ask where the examples came from and whether the evaluation uses genuinely separate material. [2]
Reference this explanation or suggest a correction
Link to this explanation · Suggest a correction · How corrections work
Share this page
https://theaiatlas.org/ideas/training-data/
Download a share image · Vector image
Image previews are summaries. Keep the page link so readers can check the evidence.
Sources and what we read
1. Supervised Learning
Publication dates and source age
Sources counted: 1
Publication dates are unavailable.
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Read labeled examples, training, evaluation and inference. Used for the training procedure, without treating labels as infallible or adopting the page’s wording about understanding.
2. Datasets: Dividing the original dataset
Publication dates and source age
Sources counted: 1
Publication dates are unavailable.
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Read training, validation and test separation, duplicate examples and repeated test reuse. Course examples illustrate evaluation problems; no model was tested here.
Edition and machine-readable evidence
Content version 0.20.0. Evidence cutoff 2026-09-15; this does not mean every source was read on that day.
Pinned complete dataset · Complete evidence page · Agent consumption guide