遇见数据集

智能票务客服中英双语知识库数据集

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针对国际旅客冬奥出行场景,我们共梳理总结了13类、115个中文常见问题及标准答案,形成标准的中英双语问答知识内容,辅助支撑英语专席客服受理解答国际旅客咨询业务。主要包括网购注册、登录、操作,网购车票,网购支付,改签、变更到站、退票,预售期、实名制、挂失补,儿童票,电子票,身份核验,进站乘车等常见问题,数据量181KB。采用人工方式对既有客票业务办理过程中与旅客交互的信息进行逐一梳理,再进行翻译、校对、审核,最终形成本数据。

For the travel scenario of international passengers during the Winter Olympics, we sorted out and summarized 115 common Chinese questions and their standard answers across 13 categories, creating standardized Chinese-English bilingual Q&A knowledge content to support dedicated English-speaking customer service agents in receiving and responding to inquiries from international passengers. The covered common issues mainly include online ticket purchase registration, login and operation, online ticket booking, online payment, ticket modification, destination change, refund, booking advance period, real-name authentication, loss reporting and reissuance, child ticket, electronic ticket, identity verification, station entry and boarding, etc. The total data size is 181 KB. This dataset was ultimately developed by manually sorting out the interactive information between customer service staff and passengers during the handling of existing ticket business one by one, followed by translation, proofreading and review.

搜集汇总
数据集介绍
智能票务客服中英双语知识库数据集 数据集图片
背景与挑战
背景概述
该数据集针对国际旅客冬奥出行场景,整理了13类共115个中文常见问题及其标准答案,形成中英双语问答知识库,旨在辅助英语专席客服处理旅客咨询。内容覆盖网购注册、车票购买、支付、改签退票、实名制等多个票务主题,数据量约为181KB,通过人工梳理和翻译审核构建而成。
以上内容由遇见数据集搜集并总结生成
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