Create README.md

README.md

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+---
+license: bsd-3-clause
+tags:
+- atmospheric-retrieval
+- exoplanets
+- simulation-based-inference
+pretty_name: SBI_INAF
+size_categories:
+- 10K<n<100K
+---
+# SBI_INAF
+
+**SBI_INAF** is a dataset designed for **Simulation-Based Inference (SBI)** on atmospheric retrieval of exoplanets at a spectral resolution of approximately **R = 40000**, tailored for the GIANO-B echelle spectrograph. It contains transmission spectra (stellar and telluric free) together with their associated physical parameters, auxiliary metadata, normalization statistics, and predefined train/validation/test splits.
+
+The dataset is built upon the Atmospheric Big Challenge (ABC) database, with major modifications to address the research goals of the research paper "Towards Scalable High-Resolution Atmospheric Retrieval of Exoplanets with Flow Matching" - M. Giordano Orsini et al., 2026.
+
+The dataset is intended for supervised learning tasks involving parameter estimation from synthetic or simulated transmission spectra.
+
+---
+
+## Dataset Structure
+
+```text
+SBI_INAF_R1500/
+├── AuxillaryTable.csv
+├── FM_Parameter_Table.csv
+├── h5s/
+├── norm_params.pkl
+├── QuartilesTable.csv
+├── test_indices.npy
+├── train_indices.npy
+├── val_indices.npy
+├── wavelengths.npy
+├── widths.npy
+```
+
+---
+
+## File Descriptions
+
+| File | Description |
+|------|-------------|
+| `h5s/` | Collection of HDF5 files containing the spectra and associated sample information. |
+| `FM_Parameter_Table.csv` | Physical parameters (forward-model parameters) associated with each simulated spectrum. These serve as prediction targets. |
+| `AuxillaryTable.csv` | Additional metadata describing each sample (planetary system-related parameters). |
+| `QuartilesTable.csv` | Summary statistics (quartiles) of selected parameters or features. Useful for exploratory data analysis. |
+| `norm_params.pkl` | Stored normalization parameters used during preprocessing. |
+| `wavelengths.npy` | Common wavelength grid for all spectra. |
+| `widths.npy` | Spectral bin widths corresponding to the wavelength grid. |
+| `train_indices.npy` | Indices defining the training split. |
+| `val_indices.npy` | Indices defining the validation split. |
+| `test_indices.npy` | Indices defining the held-out test split. |
+
+---
+
+## Citation
+
+If this dataset contributes to published work, please cite:
+
+```bibtex
+@article{GiordanoOrsini_2026,
+  author     = {Giordano Orsini, Massimiliano and Ferone, Alessio and Inno, Laura and Maratea, Antonio and Casolaro, Angelo and Giacobbe, Paolo and Pino, Lorenzo and Bonomo, Aldo S.}, 
+  title      = {Towards Scalable High-Resolution Atmospheric Retrieval of Exoplanets with Flow Matching},
+  year       = 2026,
+  journal    = {Journal of Computational Physics},
+  addendum   = {(Submitted)},
+}
+```
+
+---
+
+## License
+
+Please refer to the accompanying repository or publication for licensing information.
+
+---
+
+## Contact
+
+For questions regarding the dataset, please contact the dataset maintainers or the authors of the accompanying publication.