Add files using upload-large-folder tool

README.md

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+---
+license: mit
+task_categories:
+  - image-classification
+  - feature-extraction
+language:
+  - en
+tags:
+  - satellite
+  - sentinel-2
+  - remote-sensing
+  - geospatial
+  - satclip
+size_categories:
+  - 100K<n<1M
+pretty_name: S2-100K (SatCLIP)
+---
+
+# S2-100K
+
+A complete re-host of the **S2-100K** dataset used to train [SatCLIP](https://arxiv.org/abs/2311.17179) (Klemmer et al., 2023).
+
+100,000 globally sampled multi-spectral [Sentinel-2 L2A](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2) image patches (256×256 px, 12 bands, uint16), with longitude/latitude coordinates for each patch.
+
+## Why this re-host?
+
+The original Microsoft-hosted blob (`https://satclip.blob.core.windows.net/...`) is the canonical source. The only public mirror, [`davanstrien/satclip`](https://huggingface.co/datasets/davanstrien/satclip), is missing some patches ([discussion](https://huggingface.co/datasets/davanstrien/satclip/discussions/3)). This repo is a verified-complete copy: 100,000 / 100,000 patches present, sourced directly from the original Microsoft container.
+
+## File layout
+
+```
+metadata.parquet        # fn, lon, lat, patch_idx, shard  (100,000 rows)
+index.csv               # fn, lon, lat (verbatim from upstream)
+data/shard-00000.tar    # patches 0..999
+data/shard-00001.tar    # patches 1000..1999
+...
+data/shard-00099.tar    # patches 99000..99999
+satclip.tar             # all 100,000 patches in one tar (78 GB) - included as a safety copy
+```
+
+Each shard is a plain (uncompressed) tar containing 1000 `patch_<N>.tif` files. Sharding the original 78 GB tar makes resumable downloads and partial loads practical; the single `satclip.tar` is included as well so users can grab everything at once if they prefer.
+
+## Per-patch format
+
+Each `patch_<N>.tif` is a GeoTIFF with:
+
+- **Shape:** 256 × 256 pixels
+- **Bands:** 12 (Sentinel-2 L2A: B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B11, B12 — B10 is excluded)
+- **dtype:** uint16 (raw reflectance, scale by 10,000 to get [0,1])
+- **CRS:** UTM zone of the source raster (EPSG:326XX / 327XX)
+- **Resolution:** 10 m
+
+> **Note:** Pillow / `datasets.Image` cannot decode 12-band uint16 GeoTIFFs. Use `rasterio` (or `tifffile`) to read these files.
+
+## Loading
+
+### Stream a few shards directly
+
+```python
+import io
+import tarfile
+
+import rasterio
+from huggingface_hub import hf_hub_download
+
+shard_path = hf_hub_download(
+    repo_id="kklmmr/s2-100k",
+    filename="data/shard-00000.tar",
+    repo_type="dataset",
+)
+
+with tarfile.open(shard_path) as tar:
+    member = tar.getmember("patch_42.tif")
+    buf = tar.extractfile(member).read()
+
+with rasterio.MemoryFile(buf) as mem, mem.open() as src:
+    arr = src.read()           # shape: (12, 256, 256), dtype uint16
+    bounds = src.bounds        # UTM bbox
+    crs = src.crs              # e.g. EPSG:32610
+```
+
+### Pair patches with their coordinates
+
+```python
+import pandas as pd
+from huggingface_hub import hf_hub_download
+
+meta_path = hf_hub_download(
+    repo_id="kklmmr/s2-100k",
+    filename="metadata.parquet",
+    repo_type="dataset",
+)
+meta = pd.read_parquet(meta_path)
+# columns: fn, lon, lat, patch_idx, shard
+```
+
+### Download everything
+
+```python
+from huggingface_hub import snapshot_download
+
+local_dir = snapshot_download(
+    repo_id="kklmmr/s2-100k",
+    repo_type="dataset",
+    local_dir="./s2-100k",
+)
+```
+
+## Provenance
+
+- **Original dataset:** Sampled and released by the SatCLIP authors (Klemmer et al., 2023).
+- **Original host:** `https://satclip.blob.core.windows.net/$web/satclip/` (Microsoft Azure Blob Storage).
+- **Source code:** [microsoft/satclip](https://github.com/microsoft/satclip).
+- **Paper:** [SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery](https://arxiv.org/abs/2311.17179).
+
+This repository contains **only the dataset**. The pretrained SatCLIP model checkpoints are available from the original SatCLIP authors.
+
+## License
+
+MIT, matching the upstream SatCLIP project.
+
+## Citation
+
+```bibtex
+@article{klemmer2023satclip,
+  title={SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery},
+  author={Klemmer, Konstantin and Rolf, Esther and Robinson, Caleb and Mackey, Lester and Ru{\ss}wurm, Marc},
+  journal={arXiv preprint arXiv:2311.17179},
+  year={2023}
+}
+```

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