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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.
"""
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