dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 1108945726.54
num_examples: 6060
download_size: 1108991167
dataset_size: 1108945726.54
task_categories:
- image-to-text
language:
- en
tags:
- medical
size_categories:
- 1K<n<10K
Indiana University Chest Xray Dataset Card
Data sources:
This is a converted and processed version of the open access pneumonia chest x-ray dataset provided by the indiana university.
You can see its information page here.
The compressed images in the png format were downloaded from here and the corresponding reports from here.
Data fields:
There are two fields: image and text. The images are the x-rays and the texts are their associated findings.
Preprocessing done:
Make all text lowercase: Convert all text to lowercase to ensure consistent and case-insensitive processing.
Remove all punctuation: Eliminate any punctuation marks (e.g., periods, commas, exclamation marks) from the text to avoid interference in language analysis.
Remove all numbers: Eliminate all numeric characters from the text since they might not be relevant for certain natural language processing tasks.
Remove all words with 2 or more Xs in a row: Remove any words that contain two or more consecutive occurrences of the letter "X" as they may not contribute meaningful information.
Remove the bottom and top 2% of text by length: Discard the shortest and longest text samples, removing the bottom 2% and top 2% of the text's length, respectively. This step is aimed at reducing the impact of outliers and ensuring a more balanced dataset.