metadata
dataset_info:
features:
- name: Description
dtype: string
- name: Label
dtype: string
splits:
- name: original
num_bytes: 8415
num_examples: 50
- name: augmented
num_bytes: 165260
num_examples: 1000
download_size: 13985
dataset_size: 173675
configs:
- config_name: default
data_files:
- split: original
path: data/original-*
- split: augmented
path: data/augmented-*
Dataset Card for aedupuga/cards-image-dataset
Dataset Description
This Dataset consists of food descriptions of different food and beverage items labelled with Ingredient, Dish or Beverage. It was created as part of a practice in generatign and augmenting text datasets.
- Curated by: Anuhya Edupuganti
Uses
Direct Use
- Training and evaluating text classification models
- Experimenting with preporcessing of text datasets.
Dataset Structure
This data set contains teo splits:
- original: 50 samples of handwritten descriptions of differnt food items.
- augmented: 300 examples generated by augmentation to expand data diversity and variety.
Each row includes:
Description(string): text description of the food.label(string): string class label 'Dish', 'Ingredient' and 'Beverage'
Curation Rationale
This dataset was generated as a practice in text dataset creation and augmentation.
Data Collection and Processing
- Original data handwritten.
- Augmentation with backtranslation technique.
Bias, Risks, and Limitations
- Small sample size: Only 50 original samples.
- Synthetic augmentation: May not accurately describe food realisticly.
Recommendations
- Use primarily to practice classification methods.
Dataset Card Contact
Anuhya Edupuganti (Carnegie Mellon Univerity)- aedupuga@andrew.cmu.edu