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README.md

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 # ORION Evaluation Results
 
-ORION is a multilingual benchmark designed to evaluate open-domain reasoning over long-tail entities across diverse web-related domains. Each example in the dataset requires multi-step logical composition grounded in verifiable sources, challenging advanced AI assistants and retrieval-augmented models. The dataset consists of 310 questions (170 in Chinese and 140 in English), each accompanied by verified answers, diverse acceptable variants (e.g., aliases or synonymous expressions, separated by `|`), and evidence URLs to ensure fair and flexible evaluation.
+ORION is a multilingual benchmark designed to evaluate open-domain reasoning across diverse web-related domains. Each example in the dataset requires multi-step logical composition grounded in verifiable sources, challenging advanced AI assistants and retrieval-augmented models. The dataset consists of 310 questions (170 in Chinese and 140 in English), each accompanied by verified answers, diverse acceptable variants (e.g., aliases or synonymous expressions, separated by `|`), and evidence URLs to ensure fair and flexible evaluation.The table below reports the accuracy of three AI systems on ORION.
 
-## Accuracy of AI Systems on ORION
 
 | **AI System**             | **Chinese (%)** | **English (%)** | **Overall (%)** |
 |--------------------------|------------------|------------------|------------------|