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updated README.md

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  1. README.md +39 -27
README.md CHANGED
@@ -28,23 +28,42 @@ Original data are available on [Zenodo](https://zenodo.org/records/8009680). Mor
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  <figcaption>Example MRI scan with segmentation masks</figcaption>
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  </figure>
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- ## Table of Contents
 
 
 
 
 
 
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  1. [Getting Started](https://huggingface.co/datasets/cdoswald/SPIDER#getting-started)
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- 2. [Dataset Description]()
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- a. [Dataset Summary](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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- b. [Data Modifications]()
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- 3. [Dataset Structure]()
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- a. [Data Instances]()
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- b. [Data Format/Fields]()
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- c. [Data Splits]()
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- 4. [Image Resolution]()
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- 5. [Additional Information]()
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- a. [License]()
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- b. [Citation]()
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- c. [Disclaimer]()
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-
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- ## Getting Started
 
 
 
 
 
 
 
 
 
 
 
 
 
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  First, you will need to install the following dependencies:
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@@ -62,13 +81,7 @@ dataset = load_dataset("cdoswald/SPIDER, name="default", trust_remote_code=True)
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  More detailed examples for [loading](tutorials/load_data.ipynb) the dataset with different configurations
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  and using the dataset for [segmentation tasks](tutorials/segment_anything.ipynb) are provided in the [tutorials](tutorials) folder.
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- ## Dataset Description
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-
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- - **Paper:** [Lumbar spine segmentation in MR images: a dataset and a public benchmark](https://www.nature.com/articles/s41597-024-03090-w)
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- - **Repository:** [Zenodo](https://zenodo.org/records/8009680)
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- - **Grand Challenge:** [SPIDER Grand Challenge](https://spider.grand-challenge.org/)
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-
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- ### Dataset Summary
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  The dataset includes 447 sagittal T1 and T2 MRI series collected from 218 patients across four hospitals.
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  Segmentation masks indicating the vertebrae, intervertebral discs (IVDs), and spinal canal are also included.
@@ -78,7 +91,7 @@ In addition to MR images and segmentation masks, additional metadata (e.g., scan
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  patient characteristics (biological sex and age, when available), and radiological gradings indicating specific degenerative
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  changes can be loaded with the corresponding image data.
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- ### Data Modifications
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  This version of the SPIDER dataset (i.e., available through the HuggingFace `datasets` library) differs from the original
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  data available on [Zenodo](https://zenodo.org/records/8009680) in two key ways:
@@ -98,8 +111,7 @@ and 39 (15%) studies for the SPIDER Grand Challenge [hidden test set](https://sp
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  their models to the SPIDER Grand Challenge, the original 218 studies that comprised the public training/validation set were further partitioned using a 60%/20%/20% split. The original split
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  for each study (i.e., training or validation set) is recorded in the `OrigSubset` variable in the study's linked metadata.
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-
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- ## Dataset Structure
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  ### Data Instances
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@@ -192,7 +204,7 @@ An additional hidden test set provided by the paper authors
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  (i.e., not available via HuggingFace) is available on the
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  [SPIDER Grand Challenge](https://spider.grand-challenge.org/spiders-challenge/).
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- ## Image Resolution
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  > Standard sagittal T1 and T2 image resolution ranges from 3.3 x 0.33 x 0.33 mm to 4.8 x 0.90 x 0.90 mm.
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  > Sagittal T2 SPACE sequence images had a near isotropic spatial resolution with a voxel size of 0.90 x 0.47 x 0.47 mm.
@@ -203,7 +215,7 @@ for compatibility with the HuggingFace `datasets` library. If you want to use th
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  load the original images from the local cache indicated in each example's `image_path` and `mask_path` features.
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  See the data loading [tutorial](tutorials/load_data.ipynb) for more information.
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- ## Additional Information
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  ### License
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  <figcaption>Example MRI scan with segmentation masks</figcaption>
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  </figure>
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+ # Dataset Description
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+
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+ - **Paper:** [Lumbar spine segmentation in MR images: a dataset and a public benchmark](https://www.nature.com/articles/s41597-024-03090-w)
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+ - **Repository:** [Zenodo](https://zenodo.org/records/8009680)
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+ - **Grand Challenge:** [SPIDER Grand Challenge](https://spider.grand-challenge.org/)
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+
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+ # Table of Contents (TOC)
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  1. [Getting Started](https://huggingface.co/datasets/cdoswald/SPIDER#getting-started)
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+
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+ 2. [Dataset Summary](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ 3. [Data Modifications](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ 4. [Dataset Structure](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ - [Data Instances](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ - [Data Format/Fields](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ - [Data Splits](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ 5. [Image Resolution](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ 6. [Additional Information](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ - [License](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ - [Citation](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+ - [Disclaimer](https://huggingface.co/datasets/cdoswald/SPIDER#dataset-summary)
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+
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+
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+ <br>
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+
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+ # Getting Started
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  First, you will need to install the following dependencies:
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  More detailed examples for [loading](tutorials/load_data.ipynb) the dataset with different configurations
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  and using the dataset for [segmentation tasks](tutorials/segment_anything.ipynb) are provided in the [tutorials](tutorials) folder.
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+ # Dataset Summary
 
 
 
 
 
 
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  The dataset includes 447 sagittal T1 and T2 MRI series collected from 218 patients across four hospitals.
87
  Segmentation masks indicating the vertebrae, intervertebral discs (IVDs), and spinal canal are also included.
 
91
  patient characteristics (biological sex and age, when available), and radiological gradings indicating specific degenerative
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  changes can be loaded with the corresponding image data.
93
 
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+ # Data Modifications
95
 
96
  This version of the SPIDER dataset (i.e., available through the HuggingFace `datasets` library) differs from the original
97
  data available on [Zenodo](https://zenodo.org/records/8009680) in two key ways:
 
111
  their models to the SPIDER Grand Challenge, the original 218 studies that comprised the public training/validation set were further partitioned using a 60%/20%/20% split. The original split
112
  for each study (i.e., training or validation set) is recorded in the `OrigSubset` variable in the study's linked metadata.
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+ # Dataset Structure
 
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  ### Data Instances
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  (i.e., not available via HuggingFace) is available on the
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  [SPIDER Grand Challenge](https://spider.grand-challenge.org/spiders-challenge/).
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+ # Image Resolution
208
 
209
  > Standard sagittal T1 and T2 image resolution ranges from 3.3 x 0.33 x 0.33 mm to 4.8 x 0.90 x 0.90 mm.
210
  > Sagittal T2 SPACE sequence images had a near isotropic spatial resolution with a voxel size of 0.90 x 0.47 x 0.47 mm.
 
215
  load the original images from the local cache indicated in each example's `image_path` and `mask_path` features.
216
  See the data loading [tutorial](tutorials/load_data.ipynb) for more information.
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+ # Additional Information
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  ### License
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