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update dataset card

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  # Collider-Bench
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  **Collider-Bench** is an AI benchmark for evaluating whether LLM agents can reproduce experimental analyses from the **Large Hadron Collider** (LHC) at CERN using only public papers and open scientific software.
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  Each task requires multi-step scientific reasoning by an autonomous coding agent, from reading a published CMS or ATLAS search and identifying the relevant signal region, to generating and processing simulated signal events, implementing the event selection, and predicting the binned signal yields reported by the analysis
 
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  # Collider-Bench
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+ ![Collider-Bench diagram](https://huggingface.co/datasets/Dariusfar/ColliderBench/resolve/main/Collider-Bench_diagram.png)
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  **Collider-Bench** is an AI benchmark for evaluating whether LLM agents can reproduce experimental analyses from the **Large Hadron Collider** (LHC) at CERN using only public papers and open scientific software.
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  Each task requires multi-step scientific reasoning by an autonomous coding agent, from reading a published CMS or ATLAS search and identifying the relevant signal region, to generating and processing simulated signal events, implementing the event selection, and predicting the binned signal yields reported by the analysis