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fix: scoring docs path eval/scoring.md

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  1. README.md +2 -2
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@@ -51,7 +51,7 @@ Live results — pulled from [`leaderboard/results.csv`](https://huggingface.co/
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  [![Open the live ClawBench Leaderboard ↗](https://img.shields.io/badge/%F0%9F%8F%86%20Open%20the%20live%20Leaderboard-NAIL--Group%2Fclawbench--leaderboard-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000)](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard)
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- **V2 snapshot — refreshed 2026-05-12** (full scoring logic: [`docs/scoring.md`](https://github.com/reacher-z/ClawBench/blob/main/docs/scoring.md))
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  | Rank | Model | Harness | Intercepted | Reward | Pass / Total |
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  |------|-------|---------|-------------|--------|--------------|
@@ -63,7 +63,7 @@ Live results — pulled from [`leaderboard/results.csv`](https://huggingface.co/
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  | 6 | `deepseek-v4-flash` | hermes | 3.1% | **1.5%** | 2 / 130 |
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  | 7 | `glm-5.1` | openclaw | 0.0% | **0.0%** | 0 / 130 |
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- **Reward** = fraction that intercepted the final HTTP request AND the LLM judge confirmed the payload fulfilled the instruction. **Intercepted** alone = Stage 1 only. *Partial* = batch attempted fewer than 130 V2 tasks (mid-run abort / queue cap); rates are over attempted, not over 130. Companion traces in [`NAIL-Group/ClawBenchV2Trace`](https://huggingface.co/datasets/NAIL-Group/ClawBenchV2Trace). See [scoring.md](https://github.com/reacher-z/ClawBench/blob/main/docs/scoring.md) for the two-stage rubric, [live leaderboard Space](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard) for fresh data + V1.
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  **Submit a result** → run [`clawbench-eval`](https://pypi.org/project/clawbench-eval/) on your model and open a PR to [`leaderboard/results.csv`](https://huggingface.co/datasets/NAIL-Group/ClawBench/blob/main/leaderboard/results.csv) — one row per (model × harness × corpus).
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  [![Open the live ClawBench Leaderboard ↗](https://img.shields.io/badge/%F0%9F%8F%86%20Open%20the%20live%20Leaderboard-NAIL--Group%2Fclawbench--leaderboard-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000)](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard)
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+ **V2 snapshot — refreshed 2026-05-12** (full scoring logic: [`eval/scoring.md`](https://github.com/reacher-z/ClawBench/blob/main/eval/scoring.md))
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  | Rank | Model | Harness | Intercepted | Reward | Pass / Total |
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  |------|-------|---------|-------------|--------|--------------|
 
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  | 6 | `deepseek-v4-flash` | hermes | 3.1% | **1.5%** | 2 / 130 |
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  | 7 | `glm-5.1` | openclaw | 0.0% | **0.0%** | 0 / 130 |
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+ **Reward** = fraction that intercepted the final HTTP request AND the LLM judge confirmed the payload fulfilled the instruction. **Intercepted** alone = Stage 1 only. *Partial* = batch attempted fewer than 130 V2 tasks (mid-run abort / queue cap); rates are over attempted, not over 130. Companion traces in [`NAIL-Group/ClawBenchV2Trace`](https://huggingface.co/datasets/NAIL-Group/ClawBenchV2Trace). See [scoring.md](https://github.com/reacher-z/ClawBench/blob/main/eval/scoring.md) for the two-stage rubric, [live leaderboard Space](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard) for fresh data + V1.
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  **Submit a result** → run [`clawbench-eval`](https://pypi.org/project/clawbench-eval/) on your model and open a PR to [`leaderboard/results.csv`](https://huggingface.co/datasets/NAIL-Group/ClawBench/blob/main/leaderboard/results.csv) — one row per (model × harness × corpus).
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