ChronoQA

<b>ChronoQA: A Benchmark for Temporal-Sensitive Question Answering</b><br>ChronoQA is a novel dataset designed to evaluate and advance retrieval-augmented generation (RAG) systems in handling time-sensitive queries. Featuring diverse question types—including explicit/implicit time expressions, multi-hop reasoning, and varying temporal scopes—ChronoQA is automatically constructed from dynamic news sources to ensure scalability and up-to-date relevance. With over 5,000 high-quality QA pairs, it supports single- and multi-document reasoning, addressing critical gaps in existing benchmarks by emphasizing temporal alignment and complex event dependencies. ChronoQA serves as a foundational resource for developing robust models capable of navigating evolving real-world knowledge.<br>Paper Title: Chrono-O1: Advancing Temporal Sensitive RAG through Progressive Multi-Step Reflection

<b>ChronoQA：时间敏感型问答基准数据集</b><br>ChronoQA是一个新型数据集，旨在评估和推进检索增强生成（retrieval-augmented generation, RAG）系统处理时间敏感查询的能力。该数据集涵盖多种问题类型——包括显式/隐式时间表达式、多跳推理（multi-hop reasoning）和不同时间范围（temporal scopes）——通过动态新闻源自动构建，以确保可扩展性和最新相关性。它包含超过5000个高质量问答对，支持单文档和多文档推理，通过强调时间对齐（temporal alignment）和复杂事件依赖关系（complex event dependencies），填补了现有基准数据集中的关键空白。ChronoQA是开发能够应对不断演变的现实世界知识的稳健模型的基础资源。<br>论文标题：Chrono-O1：通过渐进式多步反思推进时间敏感型RAG系统