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@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+dataset_index.jsonl filter=lfs diff=lfs merge=lfs -text
+source_manifest_strict_v2_x2_v1.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - image-to-image
+tags:
+  - astronomy
+  - super-resolution
+  - blind-restoration
+  - atmospheric-turbulence
+  - cassini
+size_categories:
+  - 10K<n<100K
+configs:
+  - config_name: default
+    data_files: archives/*.tar.gz
+---
+
+# ASTRA-SR Dataset
+
+Physics-degraded planetary super-resolution benchmark accompanying
+**ASTRA-SR: Atmospheric Seeing and Turbulence Restoration for Astronomical
+Image Super-Resolution** (ICASSP 2027, under review).
+
+Clean sources are curated NASA/ESA **Cassini ISS** RAW observations
+(~400k collected frames -> ~20k high-dynamic-range clean sources).
+Paired degraded LR inputs are synthesized with:
+
+- turbulence strengths at six altitudes {0.5, 1, 2, 4, 8, 16} km sampled
+  from **real MASS observation records**,
+- propagated moving phase screens and exposure-averaged, spatially varying
+  PSF fields (mean kernel + 12 PCA basis kernels),
+- Gaussian sensor/read noise.
+
+| split | samples                      | compressed shards |
+|-------|------------------------------|-------------------|
+| train | 63,582 (57,860 real + 5,722 png) | archives/train-*.tar.gz |
+| val   | 1,355 (677 real + 678 png)     | archives/val-*.tar.gz |
+| test  | 1,356 (678 real + 678 png)     | archives/test-*.tar.gz |
+
+Splits are disjoint by `source_id`. Validation follows the frozen protocol
+`strict_noleak_x2_sr_256to512_lrdegrade_gaussian_v2_20260821`.
+
+## Layout
+
+Each shard extracts to
+`<split>/<kind>/<array>/<source_id>_<hash>.fits` with six aligned float32
+arrays per sample:
+`clean_hr512` (512x512), `clean_lr256`, `degraded_lr256`,
+`noise_map_lr256`, `noise_only_lr256`, `psf_only_lr256` (each 256x256).
+
+- `dataset_index.jsonl` - public per-sample index (source_id, split, kind,
+  sample_seed, protocol/psf SHA-256; internal paths stripped)
+- `x2_dataset_protocol_lrdegrade_v2.json` - frozen degradation protocol
+- `source_manifest_strict_v2_x2_v1.jsonl` - split construction manifest
+  (66,293 records)
+- `SHA256SUMS.txt` - SHA-256 of every archive
+- `checkpoints/astra_sr_control_epoch20.pt` - released ASTRA-SR (CONTROL)
+  weights, SHA-256 `79adb6c8dc158d7d0365fa9d21178fa0d32f7c65ffa8a7bca64436343bfa2fad`
+- `psf_bank/psf_row_34239_M5_d0.333.npy` - PSF bank row (32x32 field of
+  33x33 kernels), SHA-256 `c09a24b516fc048559cd26a28e913e329972e44c948916299549a05db6404285`
+
+## Usage
+
+```python
+from huggingface_hub import snapshot_download
+root = snapshot_download("xiningning/astrasr_data")
+# extract the splits you need, then verify with SHA256SUMS.txt
+```
+
+Training code, model definition, evaluation protocol and a ready-made
+`infer.py` live in the companion code repository (I2WM GitHub org).
+
+## Data attribution
+
+Underlying Cassini ISS raw images are courtesy of
+NASA / JPL-Caltech / Space Science Institute. Derivative clean sources
+are distributed under CC BY 4.0 with credit to the original archive.
+
+## Citation
+
+```bibtex
+@inproceedings{astra-sr-2027,
+  title  = {ASTRA-SR: Atmospheric Seeing and Turbulence Restoration for
+             Astronomical Image Super-Resolution},
+  author = {Ge, Xining and Cui, Ziteng and Liu, Shuhong},
+  booktitle = {ICASSP},
+  year   = {2027},
+  note   = {under review},
+}
+```

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+  "phase_name": "冻结数据集与协议",
+  "status": "FROZEN_SCIENTIFIC_DEFINITION",
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+    "source_to_lr_operator": "Pillow float32 BILINEAR 1024_to256",
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+  },
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+    "degraded_lr256",
+    "records.jsonl",
+    "summary.json",
+    "validation_report.json"
+  ]
+}