Update ReadMe.md

README.md

@@ -7,4 +7,54 @@ language:
 pretty_name: LitMedImage
 size_categories:
 - 10K<n<100K
----
+---
+
+Dataset Name: LitMedImage – literature-derived Medical vs. Non-Medical Image Dataset
+
+-------------------
+Description:
+-------------------
+
+LitMedImage is a curated dataset of biomedical literature figures labeled as MEDICAL or NON-MEDICAL. The dataset is built from images extracted from PubMed Central Open Access (PMC-OA) articles and includes corresponding captions and parsed image metadata. Labels were generated using a large language model (LLM) following strict imaging definitions. This dataset is intended for research in figure classification, document parsing, and biomedical vision-language models.
+
+Columns:
+
+PMCID: PubMed Central article identifier (e.g., PMC1234567)
+Image_num: Index of the image within the article
+Online_file_path: Direct file path to the image under https://ftp.ncbi.nlm.nih.gov/pub/pmc/
+
+Image_info_Cleaned: Parsed metadata describing the image contents
+Caption_Clean: Cleaned image caption from the original publication
+label: Binary classification label ("yes" for MEDICAL images, "no" for NON-MEDICAL images)
+
+-------------------
+Label Definitions:
+-------------------
+
+Label = "yes" (MEDICAL)
+Images that belong to clinical or biomedical imaging modalities, including:
+Radiology, Echocardiography, Dermoscopy, Histopathology, X-ray (Radiography), CT, MRI, Ultrasound, Nuclear Medicine (PET, SPECT, PET-CT, PET-MRI), Optical Imaging, Thermography, Elastography, Mammography, Digital Breast Tomosynthesis, Fluoroscopy, Clinical Imaging
+
+Label = "no" (NON-MEDICAL)
+Images that are statistical plots or schematic illustrations, including:
+Bar charts, Histograms, Line graphs, Scatter or Bubble plots, Pie or Donut charts, Area charts, Heatmaps, Box or Violin plots, Radar or Spider charts, Treemaps, Network graphs, Drawings, Conceptual diagrams
+
+-------------------
+Task Instruction:
+-------------------
+
+Given an image, classify whether it is a MEDICAL image or a NON-MEDICAL image.
+
+Data Source:
+All images originate from the PubMed Central Open Access Subset via the public FTP archive at:
+https://ftp.ncbi.nlm.nih.gov/pub/pmc/
+
+Intended Use:
+
+- Binary image classification (medical vs. non-medical)
+- Multimodal image + caption classification
+- Figure filtering for automated document processing
+- Pre-filtering figures for vision-language model training or inference
+
+Citation:
+[To be added]