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Update GitHub URL to weavebench/WeaveBench (org-owned)

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  1. README.md +5 -5
README.md CHANGED
@@ -20,8 +20,8 @@ pretty_name: WeaveBench
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  > A long-horizon, real-world benchmark for computer-use agents with **hybrid GUI + CLI + code** interfaces.
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- ๐Ÿ“„ **Paper**: [github.com/Wanli-Lee/WeaveBench (paper.pdf)](https://github.com/Wanli-Lee/WeaveBench/blob/main/paper.pdf)
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- ๐Ÿ’ป **Code**: [github.com/Wanli-Lee/WeaveBench](https://github.com/Wanli-Lee/WeaveBench)
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  WeaveBench evaluates whether a single agent can orchestrate **visual desktop control, command-line execution, code editing, browsers, and external tools** within one long-horizon workflow. Best observed pairing in the paper: **Claude Opus 4.7 + Claude Code at 41.2 % PassRate** โ€” far from saturation.
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@@ -56,7 +56,7 @@ Total: **114 tasks** across 8 domains, ~203 MB of task content + ~815 MB of runt
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  ```bash
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  # Install the code package first:
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- pip install git+https://github.com/Wanli-Lee/WeaveBench.git
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  # Then fetch dataset + runtimes:
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  weavebench-download-dataset --dest ./cache # tasks/
@@ -103,7 +103,7 @@ Each task file has these sections in order:
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  ```
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  The grader returns `{"score": float โˆˆ [0, 1], "scores": {sub_rubric: float, ...}, "msg": "..."}`.
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- **The grader never sees the chat transcript** (`transcript=[]`), so it must be reproducible from artifacts alone. The paper's trajectory-aware judge ([`weavebench/eval/agent_judge`](https://github.com/Wanli-Lee/WeaveBench/tree/main/weavebench/eval/agent_judge)) is the second-pass defense against fabricated visual evidence.
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  ## 5. Citation
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@@ -119,4 +119,4 @@ The grader returns `{"score": float โˆˆ [0, 1], "scores": {sub_rubric: float, ..
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  ## 6. License
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  - **Tasks**: MIT.
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- - **Runtime tarballs**: each tarball repackages third-party software (Codex CLI is Apache-2.0; Claude Code, Hermes, OpenClaw retain their upstream terms). See [NOTICE](https://github.com/Wanli-Lee/WeaveBench/blob/main/NOTICE) in the code repo for full attribution.
 
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  > A long-horizon, real-world benchmark for computer-use agents with **hybrid GUI + CLI + code** interfaces.
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+ ๐Ÿ“„ **Paper**: [github.com/weavebench/WeaveBench (paper.pdf)](https://github.com/weavebench/WeaveBench/blob/main/paper.pdf)
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+ ๐Ÿ’ป **Code**: [github.com/weavebench/WeaveBench](https://github.com/weavebench/WeaveBench)
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  WeaveBench evaluates whether a single agent can orchestrate **visual desktop control, command-line execution, code editing, browsers, and external tools** within one long-horizon workflow. Best observed pairing in the paper: **Claude Opus 4.7 + Claude Code at 41.2 % PassRate** โ€” far from saturation.
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  ```bash
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  # Install the code package first:
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+ pip install git+https://github.com/weavebench/WeaveBench.git
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  # Then fetch dataset + runtimes:
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  weavebench-download-dataset --dest ./cache # tasks/
 
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  ```
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  The grader returns `{"score": float โˆˆ [0, 1], "scores": {sub_rubric: float, ...}, "msg": "..."}`.
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+ **The grader never sees the chat transcript** (`transcript=[]`), so it must be reproducible from artifacts alone. The paper's trajectory-aware judge ([`weavebench/eval/agent_judge`](https://github.com/weavebench/WeaveBench/tree/main/weavebench/eval/agent_judge)) is the second-pass defense against fabricated visual evidence.
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  ## 5. Citation
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  ## 6. License
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  - **Tasks**: MIT.
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+ - **Runtime tarballs**: each tarball repackages third-party software (Codex CLI is Apache-2.0; Claude Code, Hermes, OpenClaw retain their upstream terms). See [NOTICE](https://github.com/weavebench/WeaveBench/blob/main/NOTICE) in the code repo for full attribution.