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：面向时序敏感型问答的基准数据集</b><br>ChronoQA是一款旨在评估并推动检索增强生成（Retrieval-Augmented Generation，RAG）系统处理时序敏感查询能力的新型数据集。其涵盖丰富多样的问答类型——包括显式/隐式时间表述、多跳推理以及不同时序范围——且通过动态新闻源自动构建，以保障数据集的可扩展性与实时相关性。该数据集包含逾5000组高质量问答样本，支持单文档与多文档推理，通过着重强调时序对齐与复杂事件依赖关系，填补了现有基准数据集的关键空白。ChronoQA可作为开发能够适配不断演进的真实世界知识的鲁棒模型的基础资源。<br>论文标题：Chrono-O1：通过渐进式多步反思推进时序敏感型RAG系统发展

搜集汇总

背景与挑战

背景概述

ChronoQA是一个用于评估和提升检索增强生成（RAG）系统处理时间敏感查询能力的数据集。它包含超过5,000个高质量问答对，支持单文档和多文档推理，特别强调时间对齐和复杂事件依赖关系，适用于自然语言处理领域。