Upload CREMI dataset (ssTEM neuron segmentation)

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
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+train/sample_A.hdf filter=lfs diff=lfs merge=lfs -text
+train/sample_B.hdf filter=lfs diff=lfs merge=lfs -text
+train/sample_C.hdf filter=lfs diff=lfs merge=lfs -text

README.md

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+# CREMI - Circuit Reconstruction from Electron Microscopy Images
+
+## Dataset Description
+
+CREMI is a benchmark dataset for evaluating algorithms for automatic reconstruction of neurons and neuronal connectivity from serial section electron microscopy data.
+
+### Modality
+- Serial section Transmission Electron Microscopy (ssTEM)
+
+### Anatomy
+- Adult Drosophila melanogaster brain
+
+### Segmentation Targets
+- **Neuron segmentation** (`volumes/labels/neuron_ids`)
+- **Synaptic cleft segmentation** (`volumes/labels/clefts`)
+
+### Volume Size
+- 125 slices × 1250 × 1250 pixels per sample
+- Resolution: 4×4×40 nm (x,y,z)
+
+## Dataset Structure
+
+```
+CREMI/
+└── train/
+    ├── sample_A.hdf    # 167 MB
+    ├── sample_B.hdf    # 160 MB
+    └── sample_C.hdf    # 165 MB
+```
+
+Note: Test files (A+, B+, C+) are not included as they have no labels.
+
+## HDF5 Structure
+
+Each training file contains:
+- `volumes/raw`: (125, 1250, 1250) uint8 - grayscale EM images
+- `volumes/labels/neuron_ids`: (125, 1250, 1250) uint64 - neuron instance segmentation
+- `volumes/labels/clefts`: (125, 1250, 1250) uint64 - synaptic cleft segmentation
+- `annotations/` - synaptic partner annotations
+
+## Usage
+
+```python
+import h5py
+from huggingface_hub import hf_hub_download
+
+# Download a training volume
+path = hf_hub_download(
+    repo_id="Angelou0516/CREMI",
+    filename="train/sample_A.hdf",
+    repo_type="dataset"
+)
+
+# Load data
+with h5py.File(path, 'r') as f:
+    raw = f['volumes/raw'][:]  # (125, 1250, 1250)
+    neuron_ids = f['volumes/labels/neuron_ids'][:]  # (125, 1250, 1250)
+    clefts = f['volumes/labels/clefts'][:]  # (125, 1250, 1250)
+```
+
+## Citation
+
+```bibtex
+@misc{cremi2016,
+    title={CREMI: MICCAI Challenge on Circuit Reconstruction from Electron Microscopy Images},
+    author={Funke, Jan and Saalfeld, Stephan and Bock, Davi and Turaga, Srini and Perlman, Eric},
+    year={2016},
+    url={https://cremi.org/}
+}
+```
+
+## License
+
+Please refer to the original dataset website: https://cremi.org/
+
+## Links
+- [CREMI Challenge Website](https://cremi.org/)
+- [CREMI Data Page](https://cremi.org/data/)
+- [CREMI Metrics](https://cremi.org/metrics/)

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