Upload resized CT volumes with metadata

README.md

@@ -21,15 +21,25 @@ This dataset contains resized chest CT scans from the RadGenome-ChestCT dataset.
 - **Original Resolution**: 900x900xN
 - **Resized Resolution**: 300x300xN
 - **Format**: NIfTI (.nii.gz)
-- **Number of Volumes**: 1570
+- **Number of Volumes**: 253
 - **Space Reduction**: ~89% (resized to 1/9th of original spatial dimensions)
 
 ## Dataset Structure
 
 Each entry contains:
-- `volumename`: Name of the CT volume file
-- `volume_path`: Relative path to the .nii.gz file
-- Additional metadata columns from the original dataset
+- `volumename`: Name of the CT volume file (string)
+- `anatomy`: Anatomical region information (string)
+- `sentence`: Associated radiology report sentence (string)
+- `volume_path`: Relative path to the .nii.gz file (string)
+
+## Columns
+
+| Column | Type | Description |
+|--------|------|-------------|
+| volumename | string | CT volume filename |
+| anatomy | string | Anatomical region |
+| sentence | string | Radiology report text |
+| volume_path | string | Path to .nii.gz file |
 
 ## Usage
 
@@ -38,13 +48,22 @@ from datasets import load_dataset
 import nibabel as nib
 
 # Load the dataset
-dataset = load_dataset("nahidhasan/radgenome-ct-reshaped-tiny")
+ds = load_dataset("nahidhasan/radgenome-ct-reshaped-tiny")
+
+# Access dataset information
+print(f"Number of samples: {len(ds['train'])}")
+
+# Access a single entry
+sample = ds['train'][0]
+print(f"Volumename: {sample['volumename']}")
+print(f"Anatomy: {sample['anatomy']}")
+print(f"Sentence: {sample['sentence']}")
+print(f"Volume path: {sample['volume_path']}")
 
-# Access a volume
-volume_path = dataset['train'][0]['volume_path']
 # Download and load the NIfTI file
-# nii = nib.load(volume_path)
+# nii = nib.load(sample['volume_path'])
 # data = nii.get_fdata()
+# print(f"Volume shape: {data.shape}")
 ```
 
 ## Source

data.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9029433bc6f1168693a6ea9e3f8bac4648187042979be5b3a3b59eecb9f1ba7
-size 67107
+oid sha256:e3f25e7b60dc0bf1537e68090ae1ed51110d44769992c6c93df9f67d1cf2de20
+size 13359