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Upload README.md with huggingface_hub

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  ---
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- dataset_info:
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- features:
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- - name: container_length_mm
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- dtype: int64
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- - name: grip_diameter_mm
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- dtype: float64
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- - name: length_to_diameter
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- dtype: float64
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- - name: ink_family
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- dtype: string
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- - name: color
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- dtype: string
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- - name: label
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- dtype:
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- class_label:
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- names:
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- '0': fine
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- '1': bold
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- splits:
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- - name: original
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- num_bytes: 1557
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- num_examples: 30
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- - name: augmented
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- num_bytes: 15540
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- num_examples: 300
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- download_size: 9378
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- dataset_size: 17097
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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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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ dataset_name: markers-tip-binary
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+ tags:
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+ - tabular
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+ - classification
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+ - augmentation
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+ - education
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+ task_categories:
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+ - tabular-classification
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ size_categories:
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+ - n<1K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Markers Grip Dataset — Binary Tip Size
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+
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+ ## Purpose
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+ Educational dataset for binary **tabular classification** predicting marker tip style (fine vs bold) from physical/container features.
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+
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+ ## Dataset composition
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+ - **Original split**: 30 unique, real‑world measurements (no duplicates).
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+ - **Augmented split**: 300 rows via label‑preserving Gaussian jitter of numeric features.
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+ - **Features (5)**: `container_length_mm` (int), `grip_diameter_mm` (float), `length_to_diameter` (float), `ink_family` (str), `color` (str).
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+ - **Target (binary)**: `label` ∈ {0: fine, 1: bold}. Mapping: bold iff original `tip_size_mm ≥ 1.0`.
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+
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+ Class balance (original): **fine=9**, **bold=21**.
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+
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+ ## Data collection
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+ Physical measurements of consumer markers (length and grip diameter) plus categorical attributes (ink family, color). No web‑scraped or synthetic sources in the original split.
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+
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+ ## Preprocessing & augmentation
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+ - **Engineering**: `length_to_diameter = container_length_mm / grip_diameter_mm`.
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+ - **Augmentation**: Gaussian jitter with σ = 0.05×std per numeric feature; values clipped to the original min/max; integer fields rounded back to int; **labels unchanged**.
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+ Rationale: introduces small, measurement‑scale perturbations without changing semantics (label).
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+
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+ ## Labels
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+ - `label`: 0 = fine, 1 = bold. Derived deterministically from original `tip_size_mm` (≥1.0 → bold).
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+
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+ ## Splits
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+ Two splits in the Hub repo: `original`, `augmented`.
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+
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+ ## Intended use & limits
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+ - Intended for classroom exercises on tabular pipelines (EDA, preprocessing, training, evaluation).
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+ - Not suitable for high‑stakes decisions. Tiny sample size; narrow domain.
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+
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+ ## Ethical notes
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+ - Consumer product measurements; no personal data.
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+ - Avoid over‑interpreting fairness metrics due to small N and categorical sparsity.
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+
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+ ## License
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+ - **CC BY 4.0**. Provide attribution if you reuse.
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+
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+ ## AI usage disclosure
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+ - No generative models used to create data or labels.
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+ - This README and augmentation code were authored with assistance from an LLM; human verified.
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+
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+ ## EDA (original split)
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+ Summary stats (numeric): see dataset preview.
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+
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+ ![hist_length_to_diameter](figs/hist_length_to_diameter.png)
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+ ![bar_label_dist](figs/bar_label_dist.png)