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README.md

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 ---
 license: cc-by-nc-sa-4.0
+tags:
+- genomics
+- dna
+- benchmark
+pretty_name: GLMap Probe Panels
 ---
+
+# GLMap Probe Panels
+
+Prebuilt DNA probe panels for [GLMap](https://github.com/ai4nucleome/GLMap)
+— a training-free framework for profiling genomic language models by their
+likelihood responses over a fixed panel of DNA sequences.
+
+## Files
+
+| File | Description |
+|---|---|
+| `main_panel.parquet` | 10,000-probe biological panel (14 functional elements × 4 categories) |
+| `MLM_k1ablation_1000_main_panel.parquet` | 1,000-probe stratified subset for the k=1 vs k=6 stride PLL ablation |
+| `panel_manifest.json` | Per-element / per-dataset counts and sampling seeds |
+| `panel_summary.md` | Human-readable panel composition summary |
+
+## Usage
+
+```python
+import glmap
+panel = glmap.load_panel()   # auto-downloads from this dataset if not local
+```
+
+Or directly:
+
+```python
+import pandas as pd
+from huggingface_hub import hf_hub_download
+path = hf_hub_download("Tim419/GLMap-panels", "main_panel.parquet", repo_type="dataset")
+panel = pd.read_parquet(path)
+```
+
+## License
+
+**CC-BY-NC-SA-4.0.** The panel was assembled from three upstream benchmarks:
+
+- GUE (DNABERT-2) — Apache-2.0
+- Plant Genomic Benchmark (PGB) — CC-BY-NC-SA-4.0
+- DNA Foundation Benchmark (DFB) — Apache-2.0
+
+Because the panel contains 1,600 probes drawn from PGB, the combined
+artefact inherits PGB's CC-BY-NC-SA-4.0 license (ShareAlike). For
+non-commercial research use with attribution. Please cite all three
+upstream benchmarks plus the GLMap paper.