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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - feature-extraction
+tags:
+  - astronomy
+  - spectroscopy
+  - gaia
+  - lamost
+  - stellar-spectra
+pretty_name: SpecCLIP Test Data
+size_categories:
+  - 1K<n<10K
+---
+
+# SpecCLIP Test Data
+
+Test data for [SpecCLIP](https://huggingface.co/astroshawn/SpecCLIP) - Cross-modal stellar spectral analysis.
+
+## Dataset Description
+
+This dataset contains paired Gaia XP and LAMOST LRS spectra for testing cross-modal retrieval and embedding analysis.
+
+### Files
+
+- **gaia_lamost_test_only.h5**: HDF5 file containing paired spectra
+  - `test/source_ids`: Gaia source identifiers
+  - `test/gaia_spectra`: Gaia XP spectra (N, 343)
+  - `test/lamost_spectra`: LAMOST LRS spectra (N, 1462)
+
+## Usage
+
+### Download
+
+```python
+from huggingface_hub import hf_hub_download
+
+# Download test data
+test_data_path = hf_hub_download(
+    repo_id="astroshawn/SpecCLIP-TestData-Small",
+    filename="gaia_lamost_test_only.h5",
+    repo_type="dataset",
+    local_dir="./test_data"
+)
+```
+
+Or using CLI:
+```bash
+huggingface-cli download astroshawn/SpecCLIP-TestData-Small --local-dir ./test_data --repo-type dataset
+```
+
+### Load Data
+
+```python
+import h5py
+import numpy as np
+
+with h5py.File(test_data_path, 'r') as f:
+    source_ids = np.array(f['test/source_ids'][:])
+    gaia_spectra = np.array(f['test/gaia_spectra'][:])
+    lamost_spectra = np.array(f['test/lamost_spectra'][:])
+
+print(f"Number of test samples: {len(source_ids)}")
+print(f"Gaia XP spectra shape: {gaia_spectra.shape}")
+print(f"LAMOST LRS spectra shape: {lamost_spectra.shape}")
+```
+
+## Use with SpecCLIP
+
+This test data is used for:
+- Building embedding databases for spectral retrieval
+- Cross-modal spectrum prediction
+- In-modal and cross-modal similarity search
+
+See the [SpecCLIP model repository](https://github.com/Xiaosheng-Zhao/SpecCLIP) for usage examples.
+
+## Citation
+
+If you use this data, please cite the SpecCLIP paper.