Update README.md

README.md

@@ -30,11 +30,14 @@ NASA GeneLab VisionTransformer on BPS Microscopy Data
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 ## General:
-This Vision Transformer model has been fine-tuned on Solar Dynamics Observatory (SDO) data. The images used are available here:
-[Solar Dynamics Observatory Gallery](https://sdo.gsfc.nasa.gov/gallery/main). This is a Vision Transformer model fine-tuned on SDO data in an active region classification task. We aim to highlight the ease of use of the HuggingFace platform, integration with popular deep learning frameworks such as PyTorch, TensorFlow, or JAX, performance monitoring with Weights and Biases, and the ability to effortlessly utilize pre-trained large scale Transformer models for targeted fine-tuning purposes. This is to our knowledge the first Vision Transformer model on NASA SDO mission data and we are working on additional versions to address challenges in this domain. 
-
-<b>The data used was provided courtesy of NASA/SDO and the AIA, EVE, and HMI science teams.
-The authors gratefully acknowledge the entire NASA Solar Dynamics Observatory Mission Team.</b><br>
+This Vision Transformer model has been fine-tuned on BPS Microscopy data. The images used are available here:
+[Biological and Physical Sciences (BPS) Microscopy Benchmark Training Dataset](https://registry.opendata.aws/bps_microscopy/) or as a Huggingface dataset here:
+[kenobi/GeneLab_BPS_BenchmarkData](https://huggingface.co/datasets/kenobi/GeneLab_BPS_BenchmarkData).
+This is a Vision Transformer model trained on Fluorescence microscopy images of individual nuclei from mouse fibroblast cells,
+to classofy DNA damage caused by cell irradiation with Fe particles or X-rays.
+We aim to highlight the ease of use of the HuggingFace platform, integration with popular deep learning frameworks such as PyTorch, TensorFlow, or JAX, 
+performance monitoring with Weights and Biases, and the ability to effortlessly utilize pre-trained large scale Transformer models for targeted fine-tuning purposes. 
+This is to our knowledge the first Vision Transformer model on NASA Genelab data and we are working on additional versions to address challenges in this domain. 
 
 We will include more technical details here soon.