Add dataset card with full documentation

README.md

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+---
+license: cc-by-nc-sa-4.0
+task_categories:
+  - image-segmentation
+tags:
+  - medical
+  - neuroimaging
+  - stroke
+  - CT
+  - MRI
+  - perfusion
+  - ISLES
+  - BIDS
+size_categories:
+  - n<1K
+---
+
+# ISLES'24 Stroke Training Dataset
+
+Multi-center longitudinal multimodal acute ischemic stroke training dataset from the ISLES'24 Challenge.
+
+## Dataset Description
+
+- **Source:** [Zenodo Record 17652035](https://zenodo.org/records/17652035) (v7, November 2025)
+- **Challenge:** [ISLES 2024](https://isles-24.grand-challenge.org/)
+- **Paper:** [Riedel et al., arXiv:2408.11142](https://arxiv.org/abs/2408.11142)
+- **License:** CC BY-NC-SA 4.0
+- **Size:** 99 GB (compressed)
+
+## Overview
+
+149 acute ischemic stroke training cases with:
+- **Admission imaging (ses-01):** Non-contrast CT, CT angiography, 4D CT perfusion
+- **Follow-up imaging (ses-02):** Post-treatment MRI (DWI, ADC)
+- **Clinical data:** Demographics, patient history, admission NIHSS, 3-month mRS outcomes
+- **Annotations:** Infarct masks, large vessel occlusion masks, Circle of Willis anatomy
+
+> **Note:** The ISLES'24 paper describes a training set of 150 cases; the Zenodo v7 training archive contains 149 publicly released subjects.
+
+## Dataset Structure
+
+### Imaging Modalities
+
+| Session | Modality | Description |
+|---------|----------|-------------|
+| ses-01 (Acute) | `ncct` | Non-contrast CT |
+| ses-01 (Acute) | `cta` | CT Angiography |
+| ses-01 (Acute) | `ctp` | 4D CT Perfusion time series |
+| ses-01 (Acute) | `tmax` | Time-to-maximum perfusion map |
+| ses-01 (Acute) | `mtt` | Mean transit time map |
+| ses-01 (Acute) | `cbf` | Cerebral blood flow map |
+| ses-01 (Acute) | `cbv` | Cerebral blood volume map |
+| ses-02 (Follow-up) | `dwi` | Diffusion-weighted MRI |
+| ses-02 (Follow-up) | `adc` | Apparent diffusion coefficient |
+
+### Derivative Masks
+
+| Mask | Description |
+|------|-------------|
+| `lesion_mask` | Binary infarct segmentation (from follow-up MRI) |
+| `lvo_mask` | Large vessel occlusion mask (from CTA) |
+| `cow_mask` | Circle of Willis anatomy (multi-label, auto-generated from CTA) |
+
+### Clinical Variables
+
+Clinical variables are sourced from the `phenotype/` directory and `clinical_data-description.xlsx`:
+
+| Variable | Description |
+|----------|-------------|
+| `nihss_admission` | NIH Stroke Scale score at admission |
+| `mrs_3month` | Modified Rankin Scale at 3 months |
+| Demographics | Age, sex, patient history |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("hugging-science/isles24-stroke", split="train")
+
+# Access a subject
+example = ds[0]
+print(example["subject_id"])      # "sub-stroke0001"
+print(example["ncct"])            # Non-contrast CT array
+print(example["dwi"])             # Diffusion-weighted MRI
+print(example["lesion_mask"])     # Ground truth segmentation
+print(example["nihss_admission"]) # Stroke severity score
+```
+
+## Data Organization
+
+The source data follows BIDS structure. This tree shows the actual Zenodo v7 layout:
+
+```
+train/
+├── clinical_data-description.xlsx
+├── raw_data/
+│   └── sub-stroke0001/
+│       └── ses-01/
+│           ├── sub-stroke0001_ses-01_ncct.nii.gz
+│           ├── sub-stroke0001_ses-01_cta.nii.gz
+│           ├── sub-stroke0001_ses-01_ctp.nii.gz
+│           └── perfusion-maps/
+│               ├── sub-stroke0001_ses-01_tmax.nii.gz
+│               ├── sub-stroke0001_ses-01_mtt.nii.gz
+│               ├── sub-stroke0001_ses-01_cbf.nii.gz
+│               └── sub-stroke0001_ses-01_cbv.nii.gz
+├── derivatives/
+│   └── sub-stroke0001/
+│       ├── ses-01/
+│       │   ├── perfusion-maps/
+│       │   │   ├── sub-stroke0001_ses-01_space-ncct_tmax.nii.gz
+│       │   │   ├── sub-stroke0001_ses-01_space-ncct_mtt.nii.gz
+│       │   │   ├── sub-stroke0001_ses-01_space-ncct_cbf.nii.gz
+│       │   │   └── sub-stroke0001_ses-01_space-ncct_cbv.nii.gz
+│       │   ├── sub-stroke0001_ses-01_space-ncct_cta.nii.gz
+│       │   ├── sub-stroke0001_ses-01_space-ncct_ctp.nii.gz
+│       │   ├── sub-stroke0001_ses-01_space-ncct_lvo-msk.nii.gz
+│       │   └── sub-stroke0001_ses-01_space-ncct_cow-msk.nii.gz
+│       └── ses-02/
+│           ├── sub-stroke0001_ses-02_space-ncct_dwi.nii.gz
+│           ├── sub-stroke0001_ses-02_space-ncct_adc.nii.gz
+│           └── sub-stroke0001_ses-02_space-ncct_lesion-msk.nii.gz
+└── phenotype/
+    └── sub-stroke0001/
+        ├── ses-01/
+        └── ses-02/
+```
+
+## Citation
+
+When using this dataset, please cite:
+
+```bibtex
+@article{riedel2024isles,
+  title={ISLES'24 -- A Real-World Longitudinal Multimodal Stroke Dataset},
+  author={Riedel, Evamaria Olga and de la Rosa, Ezequiel and Baran, The Anh and
+          Hernandez Petzsche, Moritz and Baazaoui, Hakim and Yang, Kaiyuan and
+          Musio, Fabio Antonio and Huang, Houjing and Robben, David and
+          Seia, Joaquin Oscar and Wiest, Roland and Reyes, Mauricio and
+          Su, Ruisheng and Zimmer, Claus and Boeckh-Behrens, Tobias and
+          Berndt, Maria and Menze, Bjoern and Rueckert, Daniel and
+          Wiestler, Benedikt and Wegener, Susanne and Kirschke, Jan Stefan},
+  journal={arXiv preprint arXiv:2408.11142},
+  year={2024}
+}
+
+@article{delarosa2024isles,
+  title={ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?},
+  author={de la Rosa, Ezequiel and Su, Ruisheng and Reyes, Mauricio and
+          Wiest, Roland and Riedel, Evamaria Olga and Kofler, Florian and
+          others and Menze, Bjoern},
+  journal={arXiv preprint arXiv:2408.10966},
+  year={2024}
+}
+```
+
+If using Circle of Willis masks, also cite:
+
+```bibtex
+@article{yang2023benchmarking,
+  title={Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical
+         Segmentation of the Circle of Willis for CTA and MRA},
+  author={Yang, Kaiyuan and Musio, Fabio and Ma, Yue and Juchler, Norman and
+          Paetzold, Johannes C and Al-Maskari, Rami and others and Menze, Bjoern},
+  journal={arXiv preprint arXiv:2312.17670},
+  year={2023}
+}
+```
+
+## Related Resources
+
+- [ISLES 2024 Challenge](https://isles-24.grand-challenge.org/)
+- [Zenodo Dataset (DOI: 10.5281/zenodo.17652035)](https://doi.org/10.5281/zenodo.17652035)
+- [Dataset Paper (arXiv:2408.11142)](https://arxiv.org/abs/2408.11142)
+- [Challenge Paper (arXiv:2408.10966)](https://arxiv.org/abs/2408.10966)