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length_cm
float64
weight_g
float64
is_metallic
int64
body_shape
string
has_clip
int64
is_pen
int64
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Pens & Pencils (Tabular)

This dataset contains real-world measurements of pens and pencils collected manually, with augmentation for experimentation in ML education.

Features (6)

  • length_cm (float)
  • weight_g (float)
  • is_metallic (0/1)
  • body_shape (categorical; e.g., round, hexagonal, triangular)
  • has_clip (0/1)
  • is_pen (binary target; 1 = pen, 0 = pencil)

Splits

  • original: 30 manually measured rows (≥30)
  • augmented: 300 synthetic rows (≥300), label-preserving jitter on numeric fields

EDA

  • See assets/feature_dists.png and assets/target_dist.png for summary distributions.

Intended Use

Educational use for practice with tabular data, augmentation, and Hugging Face Datasets.

Ethical Notes

All data collected is from personal, non-sensitive objects (pens/pencils). No PII.

AI Usage

Some augmentation/plot code was assisted with GenAI, transparently documented in this notebook. The majority of code was referenced from the inclass tabular dataset example refactored for my use case

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