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metadata
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype: int64
    - name: intensity
      dtype: int64
  splits:
    - name: original
      num_bytes: 4586
      num_examples: 30
    - name: augmented
      num_bytes: 187640
      num_examples: 1200
  download_size: 32454
  dataset_size: 192226
configs:
  - config_name: default
    data_files:
      - split: original
        path: data/original-*
      - split: augmented
        path: data/augmented-*

Yash Gym Machines Text Dataset

Dataset Summary

This dataset contains descriptive text about gym machines, with both binary and numerical targets.
It includes:

  • original: 100+ manually authored samples (~200 characters each)
  • augmented: 1000+ synthetic samples created using NLTK-based word-swapping augmentation.

Intended Use

Educational dataset for text classification and augmentation tasks.
Not suitable for medical, fitness, or training prescriptions.


Features

  • text (string): ~200-character description of a gym machine
  • label (binary): 0 = Lower Body, 1 = Upper Body
  • intensity (int): Muscle intensity score from 1 (light) to 5 (heavy)

Preprocessing & Augmentation

  • Original samples: Self-authored text descriptions
  • Augmentation: Random word-swapping using NLTK tokenization
  • Splits:
    • original → 100+ samples
    • augmented → 1200+ samples

Exploratory Data Analysis (EDA)

  • Checking dataset size
  • Checking label distribution
  • Checking intensity distribution

Ethical Notes

  • Dataset contains no personal or sensitive data.
  • Labels (upper vs lower body, intensity) are subjective.
  • Augmentation may produce awkward grammar but preserves label meaning.
  • For educational purposes only.

AI Usage Disclosure

  • Generative AI was not used to create the original dataset.
  • ChatGPT (OpenAI GPT-5) was used to draft this README. """