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PenDigits — AI-MED AGH convenience mirror
This repository is an AI-MED AGH convenience mirror of the UCI Machine Learning
Repository's Pen-Based Recognition of Handwritten Digits (UCI dataset ID 81).
It preserves the official UCI ZIP unchanged in original/; no extracted source
files are published at this mirror's upload root.
Dataset facts
- 10,992 instances: 7,494 official training instances and 3,498 official test instances.
- 16 integer features representing eight
(x, y)coordinate pairs. - Ten target classes: digits 0–9.
- The official split is writer-independent: training and test writers are disjoint.
Provenance
- Source landing page: https://archive.ics.uci.edu/dataset/81/pen+based+recognition+of+handwritten+digits
- DOI: https://doi.org/10.24432/C5MG6K
- Direct source archive: https://archive.ics.uci.edu/static/public/81/pen%2Bbased%2Brecognition%2Bof%2Bhandwritten%2Bdigits.zip
- UCI dataset ID: 81
- Retrieved: 2026-09-10
The source data are licensed under Creative Commons Attribution 4.0 International.
See SOURCE.md for source-record details and SHA256SUMS for file integrity hashes.
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