Datasets:
File size: 1,217 Bytes
ede814c c0d6d32 3707c1a c0d6d32 ede814c 3707c1a c0d6d32 3707c1a c0d6d32 3707c1a c0d6d32 f31b816 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
pretty_name: Pens & Pencils (Tabular, 6 columns)
tags: [tabular, education, augmentation]
license: cc-by-4.0
task_categories: [tabular-classification]
---
# 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
|