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@@ -12,6 +12,25 @@ dataset_info:
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  download_size: 1108991167
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  dataset_size: 1108945726.54
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  ---
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- # Dataset Card for "cxiu_hf_dataset"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  download_size: 1108991167
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  dataset_size: 1108945726.54
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  ---
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+ # Indiana University Chest Xray Dataset Card
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+ ## Data sources:
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+ This is a converted and processed version of the open access pneumonia chest x-ray dataset provided by the indiana university
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+ You can see its information page [here](https://openi.nlm.nih.gov/faq).
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+ The compressed images in the png format were downloaded from [here](https://openi.nlm.nih.gov/imgs/collections/NLMCXR_png.tgz) and the corresponding reports from [here](https://openi.nlm.nih.gov/imgs/collections/NLMCXR_reports.tgz).
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+ ## Data fields:
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+ There are two fields: image and text.
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+ The images are the x-rays and the texts are their associated findings.
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+ ## Preprocessing done:
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+ 1. **Make all text lowercase**: Convert all text to lowercase to ensure consistent and case-insensitive processing.
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+ 2. **Remove all punctuation**: Eliminate any punctuation marks (e.g., periods, commas, exclamation marks) from the text to avoid interference in language analysis.
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+ 3. **Remove all numbers**: Eliminate all numeric characters from the text since they might not be relevant for certain natural language processing tasks.
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+ 4. **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.
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+ 5. **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.