Update README.md

README.md

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-# Dataset Card for "mri-sym2"
+# Dataset Card for mri-sym2
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+### Dataset Summary
+
+SymBrain, an annotated dataset of brain MRI images designed to advance the field of brain symmetry detection and segmentation. 
+Our dataset comprises a diverse collection of brain MRI T1w and T2w scans from the [dHCP](https://biomedia.github.io/dHCP-release-notes/download.html) dataset.
+Each annotated to highlight the ideal **straight** mid-sagittal plane (MSP), demarcating the brain into two symmetrical hemispheres. 
+The accurate extraction of the MSP has the potential to greatly enhance segmentation precision. 
+
+Researchers and practitioners can utilize this dataset to devise innovative methods for enhanced brain MRI image segmentation. 
+SymBrain's rich and extensive content empowers the research community to address complex challenges in neuroimaging analysis, 
+ultimately contributing to advancements in medical diagnostics and treatment planning.
+
+Symmetry analysis plays an important role in medical image processing, particularly in the detection of diseases and malformations. 
+SymBrain leverages the inherent bilateral symmetry observed in brain MRI images, 
+making it an invaluable resource for the development and evaluation 
+of automated algorithms aimed at detecting the symmetry axis within brain MRI data. 
+
+
+## Dataset Structure
+
+The dataset contains 1476 T1w images types and 1674 T2w images. 
+The differences between the modalities lie in the intensity variations of the different brain areas. 
+All the images are accessible in the 'train' part of the dataset. 
+
+
+## Dataset Creation
+
+### Loading the data
+
+The dataset contains a 'train' split of 1476 rows, containing the t1 type images, and a 'test' split of 1674 rows, with the t2 type images.  
+
+```python
+dataset = load_dataset("agucci/mri-sym2")
+# first dataset example selection:
+dataset['train'][0]
+```
+
+**Attributes :**
+- *image:* PIL image, shape (290, 290)
+- *line:* Straight line annotation coordinates on the image. ({'x':x1, 'y':y1}, {'x':x2, 'y':y2}).  Where (x1,y1), (x2,y2) are the starting and end points of the line.  
+- *radscore:* Radiology score of the volume the image was extracted from. Please refer to [dHCP doc](https://biomedia.github.io/dHCP-release-notes/download.html#metadata) for scores explanation.  
+- *session:* Session-ID of the original dataset, used for scan retrieval.  
+
+### Source Data
+
+
+[dHCP](https://biomedia.github.io/dHCP-release-notes/download.html) dataset.  
+Three slices have been extracted from each of the 1050 3D volumes, creating 3150 images.
+
+### Annotations
+
+The authors did Annotations manually with the [V7lab tools](https://www.v7labs.com/).
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+When using the data please cite : 
+
+**authors papers coming soon** 
+
+and 
+
+**dhcp dataset**
+Data were provided by the developing Human Connectome Project, KCL-Imperial-
+Oxford Consortium funded by the European Research Council under the Eu-
+ropean Union Seventh Framework Programme (FP/2007-2013) / ERC Grant
+Agreement no. [319456]. We are grateful to the families who generously sup-
+ported this trial.