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README.md
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pretty_name: Pens & Pencils (Tabular,
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tags:
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- tabular
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- education
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- augmentation
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license: cc-by-4.0
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task_categories:
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- tabular-classification
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configs:
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- config_name: default
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data_files:
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- split: original
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path: data/original-*
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- split: augmented
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path: data/augmented-*
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dataset_info:
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features:
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- name: length_cm
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dtype: float64
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- name: weight_g
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dtype: float64
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- name: is_metallic
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dtype: int64
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- name: body_shape
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dtype: string
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- name: has_clip
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dtype: int64
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- name: is_pen
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dtype: int64
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splits:
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- name: original
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num_bytes: 1532
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num_examples: 30
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- name: augmented
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num_bytes: 15361
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num_examples: 300
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download_size: 11536
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dataset_size: 16893
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---
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# Pens & Pencils (Tabular)
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- **length_cm** (float)
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- **weight_g** (float)
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- **is_metallic** (0/1)
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- **body_shape** (
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- **
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## Splits
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- `original`: 30 manually measured rows (≥30)
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- `augmented`: 300 synthetic rows (≥300), label-preserving jitter on numeric fields
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##
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---
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pretty_name: Pens & Pencils (Tabular, 6 columns)
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tags: [tabular, education, augmentation]
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license: cc-by-4.0
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task_categories: [tabular-classification]
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---
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# Pens & Pencils (Tabular)
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This dataset contains real-world measurements of pens and pencils collected manually,
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with augmentation for experimentation in ML education.
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## Features (6)
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- **length_cm** (float)
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- **weight_g** (float)
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- **is_metallic** (0/1)
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- **body_shape** (categorical; e.g., round, hexagonal, triangular)
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- **has_clip** (0/1)
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- **is_pen** (binary target; 1 = pen, 0 = pencil)
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## Splits
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- `original`: 30 manually measured rows (≥30)
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- `augmented`: 300 synthetic rows (≥300), label-preserving jitter on numeric fields
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## EDA
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- See `assets/feature_dists.png` and `assets/target_dist.png` for summary distributions.
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## Intended Use
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Educational use for practice with tabular data, augmentation, and Hugging Face Datasets.
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## Ethical Notes
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All data collected is from personal, non-sensitive objects (pens/pencils). No PII.
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## AI Usage
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Some augmentation code was assisted with GenAI, transparently documented in this notebook.
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