Duplicate from 2imi9/OlmoEarth-v1-FT-Karst-Groundwater-Base

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README.md

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+---
+license: apache-2.0
+task_categories:
+  - image-segmentation
+  - object-detection
+language:
+  - en
+tags:
+  - geospatial
+  - remote-sensing
+  - olmoearth
+  - karst
+  - groundwater
+  - sentinel-1
+  - sentinel-2
+  - pennsylvania
+  - geology
+size_categories:
+  - 10K<n<100K
+pretty_name: Pennsylvania Karst Features for OlmoEarth Fine-Tuning
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data.parquet
+---
+
+# OlmoEarth-v1-FT-Karst-Groundwater-Base
+
+Fine-tuning dataset for [OlmoEarth-v1-Base](https://huggingface.co/allenai/OlmoEarth-v1-Base) to detect karst terrain features in Pennsylvania from Sentinel-1 SAR backscatter and Sentinel-2 optical imagery.
+
+**47,020 labeled points · 4 classes · ~50,000 km² · 3 AOI regions**
+
+---
+
+## Quick Start
+
+Two formats are provided for the two upload paths:
+
+### Option A — OlmoEarth Studio Web UI (`studio/import.geojson`)
+Upload via Studio's "Import your own dataset" feature. Map the properties to your project's tags during import.
+
+```python
+import json
+with open("studio/import.geojson") as f:
+    data = json.load(f)
+```
+
+### Option B — Pipeline / rslearn (`rslearn/annotation_features.geojson`)
+For direct use with `olmoearth_run prepare_labeled_windows` or any rslearn-compatible workflow.
+
+```python
+import json
+with open("rslearn/annotation_features.geojson") as f:
+    annotations = json.load(f)
+with open("rslearn/annotation_task_features.geojson") as f:
+    tasks = json.load(f)
+```
+
+---
+
+## Files
+
+| Path | Records | Purpose |
+|---|---|---|
+| `rslearn/annotation_features.geojson` | 47,020 points | OlmoEarth `oe_*` schema (rslearn / olmoearth_projects pipeline) |
+| `rslearn/annotation_task_features.geojson` | 3 polygons | AOI region boundaries with `oe_annotations_task_id` |
+| `studio/import.geojson` | 47,020 points | Studio Web UI import format (`task_name`, `karst_status`, etc.) |
+| `data.parquet` | 47,020 rows | Flat tabular preview for HF Data Studio |
+
+---
+
+## Schemas
+
+### rslearn / pipeline schema (`rslearn/annotation_features.geojson`)
+
+```json
+{
+  "type": "Feature",
+  "geometry": {"type": "Point", "coordinates": [lon, lat]},
+  "properties": {
+    "oe_labels": {"category": 0},
+    "oe_start_time": "2020-01-01 00:00:00+00:00",
+    "oe_end_time": "2025-12-31 00:00:00+00:00",
+    "oe_annotations_task_id": "uuid",
+    "confidence": 0.83,
+    "quality_flags": ["on_carbonate", "dense_cluster", "source_pageode"]
+  }
+}
+```
+
+### Studio import schema (`studio/import.geojson`)
+
+```json
+{
+  "type": "Feature",
+  "geometry": {"type": "Point", "coordinates": [lon, lat]},
+  "properties": {
+    "task_name": "pa_karst_central",
+    "observation_time": "2020-01-01T00:00:00Z",
+    "sample_category": "sinkhole",
+    "sample_number": 0.83,
+    "sample_true_false": false
+  }
+}
+```
+
+Field mapping:
+- `sample_category` → karst class (training field, enum: `surface_depression`, `sinkhole`, `surface_mine`, `other`)
+- `sample_number` → confidence score (0-1)
+- `sample_true_false` → auto-generated flag (true for "other" class samples)
+
+These names are required for Studio's auto-detection of training fields.
+
+---
+
+## Classes
+
+| ID | Tag | Count | % |
+|---|---|---|---|
+| 0 | surface_depression | 16,295 | 34.66% |
+| 1 | sinkhole | 3,810 | 8.10% |
+| 2 | surface_mine | 1,916 | 4.07% |
+| 3 | other | 24,999 | 53.17% |
+
+`other` represents non-karst terrain inside the AOI (sampled from non-carbonate bedrock). 191 cave records are included in the sinkhole class and tagged with `merged_from_cave: true`.
+
+---
+
+## AOI Regions
+
+| Region | Longitude | Area | Annotations |
+|---|---|---|---|
+| `pa_karst_east` | -76.2 to -75.0 | ~12,000 km² | 16,009 |
+| `pa_karst_central` | -77.4 to -76.2 | ~16,000 km² | 14,841 |
+| `pa_karst_west` | -78.7 to -77.4 | ~16,000 km² | 16,170 |
+
+Covers the full Pennsylvania karst belt across 3 task regions, each within OlmoEarth Studio's 20,000 km² limit.
+
+---
+
+## Per-Label Confidence
+
+Every annotation carries a `confidence` score (0-1) and `quality_flags` list.
+
+**Signals:**
+
+| Signal | Weight | Description |
+|---|---|---|
+| Bedrock alignment | 0.5 | Karst classes on carbonate; "other" off carbonate |
+| Local class density | 0.3 | Same-class neighbors within 500m |
+| Source provenance | 0.2 | PaGEODE (0.2) vs auto-generated (0.1) |
+
+**Distribution:**
+
+| Class | Mean | High-confidence (≥0.8) |
+|---|---|---|
+| surface_depression | 0.83 | 73.9% |
+| sinkhole | 0.77 | 28.3% |
+| surface_mine | 0.76 | 40.3% |
+| other | 0.69 | 26.3% |
+
+**Quality flag values:** `on_carbonate`, `off_carbonate_karst`, `dense_cluster`, `isolated`, `auto_generated`, `source_pageode`, `merged_from_cave`.
+
+**Recommended uses:**
+- Filter: train only on `confidence >= 0.8`
+- Weight: use `confidence` as per-sample loss weight
+- Triage: prioritize manual review of low-confidence labels
+
+---
+
+## Studio Configuration
+
+| Setting | Value |
+|---|---|
+| Data sources | Sentinel-1 (VV/VH) + Sentinel-2 (12 bands) |
+| Time range | 2020-01-01 to 2025-12-31 |
+| Grid size | 2 km |
+| Window resolution | 10 m |
+| Window buffer | 31 px (~310 m) |
+| Train / val split | 75% / 25% spatial split (128px grid) |
+
+---
+
+## Caveats
+
+- **"Other" class is auto-generated** from non-carbonate bedrock polygons; pending domain review.
+- **Cave merged into sinkhole** — 191 records traceable via `merged_from_cave: true`.
+- **2,768 outside-carbonate karst labels retained** pending review (some may be valid non-carbonate features).
+- **Class imbalance** — use class weighting or oversampling for sinkhole (8%) and surface_mine (4%) during training.
+
+---
+
+## Sources
+
+All data is public domain.
+
+- **PaGEODE Karst Features** — [PA DCNR](https://gis.dcnr.state.pa.us/pageode/) (last updated 2026-02-24)
+- **PA Bedrock Geology** — [PA DCNR](https://gis.dcnr.state.pa.us/) (DCNR_Bedrock_Geology_Pa_Geologic_Units52023)
+- **Satellite imagery** — Sentinel-1/2 via OlmoEarth Studio (Microsoft Planetary Computer)
+
+## Related
+
+- [allenai/OlmoEarth-v1-Base](https://huggingface.co/allenai/OlmoEarth-v1-Base)
+- [olmoearth_projects](https://github.com/allenai/olmoearth_projects)
+- [rslearn](https://github.com/allenai/rslearn)
+- [OlmoEarth Studio docs](https://olmoearth.allenai.org/docs)
+
+## Citation
+
+```bibtex
+@dataset{qi2026karst,
+  author    = {Qi, Ziming and BAI Group},
+  title     = {OlmoEarth-v1-FT-Karst-Groundwater-Base: Pennsylvania Karst Features for OlmoEarth Fine-Tuning},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/datasets/2imi9/OlmoEarth-v1-FT-Karst-Groundwater-Base}
+}
+```
+
+## License
+
+Apache 2.0. PaGEODE and PA Bedrock source data are public domain.

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