📄 中文摘要
随着 AI 驱动的文档理解和处理工具在实际应用中的日益普及,对严格评估标准的需求变得愈发迫切。现有的基准和评估往往集中于孤立的能力或简化场景,未能捕捉到实际环境中所需的端到端任务有效性。为了解决这一问题,AIDABench 被提出,作为评估 AI 系统在复杂数据分析任务中的全面基准。AIDABench 包含 600 多个多样化的文档分析任务,涵盖三个核心能力维度:问答、数据可视化和文件生成。这些任务基于涉及异构数据的现实场景,旨在提供更为全面的评估标准。
📄 English Summary
AIDABench: AI Data Analytics Benchmark
The increasing prevalence of AI-driven document understanding and processing tools in real-world applications has heightened the urgency for rigorous evaluation standards. Existing benchmarks often focus on isolated capabilities or simplified scenarios, failing to capture the end-to-end task effectiveness required in practical settings. To bridge this gap, AIDABench is introduced as a comprehensive benchmark for evaluating AI systems on complex data analytics tasks in an end-to-end manner. AIDABench encompasses over 600 diverse document analysis tasks across three core capability dimensions: question answering, data visualization, and file generation. These tasks are grounded in realistic scenarios involving heterogeneous data, aiming to provide a more holistic evaluation standard.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等