Add dataset card README for TCGA-mini

README.md

@@ -1,3 +1,88 @@
----
-license: mit
----
+---
+license: mit
+pretty_name: TCGA-mini
+size_categories:
+- 1K<n<10K
+tags:
+- pathology
+- whole-slide-imaging
+- tcga
+- medical-imaging
+---
+
+# TCGA-mini
+
+`TCGA-mini` is a curated whole-slide imaging (WSI) dataset composed of TCGA `.svs` pathology slides.
+
+- Number of slides: `1319` (`.svs`)
+- Location in repo: `slides/`
+- Storage footprint on the Hub: about `1.42 TiB` (`1450.94 GiB`, Git LFS-backed)
+
+## Dataset structure
+
+```text
+TCGA-mini/
+├── README.md
+└── slides/
+    ├── TCGA-xxxx-xxxx-xxZ-00-DX1.svs
+    └── ...
+```
+
+## Data format
+
+- File type: Aperio whole-slide image files (`.svs`)
+- Naming: Original TCGA-style slide identifiers are preserved
+- Labels/annotations: Not included in this repo
+
+## Download
+
+Download all slides:
+
+```bash
+hf download W8Yi/TCGA-mini \
+  --repo-type dataset \
+  --include "slides/*.svs" \
+  --local-dir ./TCGA-mini
+```
+
+Download a single slide:
+
+```bash
+hf download W8Yi/TCGA-mini \
+  --repo-type dataset \
+  --include "slides/TCGA-06-0743-01Z-00-DX1.svs" \
+  --local-dir ./TCGA-mini
+```
+
+## Quick usage example (OpenSlide)
+
+```python
+from openslide import OpenSlide
+
+slide = OpenSlide("TCGA-mini/slides/TCGA-06-0743-01Z-00-DX1.svs")
+print("levels:", slide.level_count)
+print("dimensions:", slide.dimensions)
+```
+
+## Intended use
+
+This dataset is intended for research and educational use in computational pathology and WSI pipelines.
+It is not intended for clinical diagnosis or direct patient care.
+
+## Source and attribution
+
+Slides originate from The Cancer Genome Atlas (TCGA) program.
+Users are responsible for complying with all applicable TCGA/GDC data-use and publication policies.
+
+## Limitations
+
+- No train/val/test split is provided
+- No labels or clinical tables are included in this repo
+- Whole-slide files are very large and require substantial storage and I/O throughput
+
+## Citation
+
+If you use this dataset, please cite:
+
+1. This Hugging Face dataset repository: `W8Yi/TCGA-mini`
+2. The TCGA program and relevant data source publications