Datasets:
Fix links to the TraitGym eval scripts
Browse filesThe `evo2-evals` branch no longer exists on the Carbon GitHub repo, so these links 404. This points them at `carbon/evaluation/vep_eval.py` and the Slurm launchers on `main`, which now run the TraitGym eval.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
README.md
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@@ -39,7 +39,7 @@ The variants, labels and matched controls are **identical** to the original `son
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| `pos` | 1-indexed hg38 position |
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| `ref`, `alt` | single bases (SNVs only) |
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| `label` | int 0/1 (1 = causal/positive, 0 = matched control) |
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| `class` | `"LOF"` (label=1) or `"FUNC/INT"` (label=0) — added so the standard `
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| `consequence` | molecular consequence from the source dataset |
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| `tss_dist` | distance to nearest TSS |
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| `match_group` | matched-controls group ID (preserve from source) |
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@@ -51,8 +51,8 @@ The variants, labels and matched controls are **identical** to the original `son
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Same recipe as our other VEP evals (BRCA1, BRCA2, ClinVar): `delta = LL(var_seq) − LL(ref_seq)` from a centered 8,192 bp window. Score per-variant; AUROC / AUPRC / `AUPRC_by_chrom_weighted_average` (the TraitGym leaderboard convention) against the binary label. Optional `--rev_comp_avg` averages the LLR computed on the forward window and on its reverse-complement, exactly as TraitGym does.
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Eval scripts:
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## Citation
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| 39 |
| `pos` | 1-indexed hg38 position |
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| 40 |
| `ref`, `alt` | single bases (SNVs only) |
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| 41 |
| `label` | int 0/1 (1 = causal/positive, 0 = matched control) |
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| 42 |
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| `class` | `"LOF"` (label=1) or `"FUNC/INT"` (label=0) — added so the standard `vep_eval.py` AUROC code path works without changes |
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| `consequence` | molecular consequence from the source dataset |
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| 44 |
| `tss_dist` | distance to nearest TSS |
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| 45 |
| `match_group` | matched-controls group ID (preserve from source) |
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Same recipe as our other VEP evals (BRCA1, BRCA2, ClinVar): `delta = LL(var_seq) − LL(ref_seq)` from a centered 8,192 bp window. Score per-variant; AUROC / AUPRC / `AUPRC_by_chrom_weighted_average` (the TraitGym leaderboard convention) against the binary label. Optional `--rev_comp_avg` averages the LLR computed on the forward window and on its reverse-complement, exactly as TraitGym does.
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Eval scripts:
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- [`carbon/evaluation/vep_eval.py`](https://github.com/huggingface/carbon/blob/main/carbon/evaluation/vep_eval.py) — gene-agnostic centered+full-LL eval
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- Slurm launchers: [`carbon/evaluation/slurm/`](https://github.com/huggingface/carbon/tree/main/carbon/evaluation/slurm) — one `vep_traitgym.sbatch` per model, including Evo2 7B/20B/40B
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## Citation
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