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The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service

arXiv 1911.09969 ↗First posted 22 Nov 2019cs.CL cs.AI cs.IRcited by 47

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Abstract (arXiv)

Human conversations are complicated and building a human-like dialogue agent is an extremely challenging task. With the rapid development of deep learning techniques, data-driven models become more and more prevalent which need a huge amount of real conversation data. In this paper, we construct a large-scale real scenario Chinese E-commerce conversation corpus, JDDC, with more than 1 million multi-turn dialogues, 20 million utterances, and 150 million words. The dataset reflects several characteristics of human-human conversations, e.g., goal-driven, and long-term dependency among the context. It also covers various dialogue types including task-oriented, chitchat and question-answering. Extra intent information and three well-annotated challenge sets are also provided. Then, we evaluate several retrieval-based and generative models to provide basic benchmark performance on the JDDC corpus. And we hope JDDC can serve as an effective testbed and benefit the development of fundamental research in dialogue task

Key facts. Cited by 47 papers in the map (data through 13 Oct 2026). First posted on arXiv 22 Nov 2019.

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Citing papers per year: 2021: 14; 2022: 12; 2023: 12; 2024: 4; 2025: 1; 2026: 4.

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  2. 2023EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commercecited by 48
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  4. 2022EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Trainingcited by 31
  5. 2021CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarizationcited by 27
  6. 2022User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systemscited by 20
  7. 2021DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddingscited by 19
  8. 2021Probing Product Description Generation via Posterior Distillationcited by 15
  9. 2021Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimizationcited by 15
  10. 2023Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialoguecited by 15
  11. 2021Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generationcited by 14
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35 more
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  3. 2022Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systemscited by 9
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  5. 2023Schema-Guided User Satisfaction Modeling for Task-Oriented Dialoguescited by 8
  6. 2021Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Managementcited by 6
  7. 2023Modeling User Satisfaction Dynamics in Dialogue via Hawkes Processcited by 6
  8. 2021Conversational Query Rewriting with Self-supervised Learningcited by 5
  9. 2021The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Servicecited by 5
  10. 2022A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigmscited by 4
  11. 2024Fostering Natural Conversation in Large Language Models with NICO: a Natural Interactive COnversation datasetcited by 4
  12. 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directionscited by 3
  13. 2022DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlogcited by 3
  14. 2023From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialoguecited by 3
  15. 2023Visual-Aware Text-to-Speechcited by 2
  16. 2024From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classificationcited by 2
  17. 2026From Myopic Selection to Long-Horizon Awareness: Sequential LLM Routing for Multi-Turn Dialoguecited by 2
  18. 2026MUSE: Multi-Domain Chinese User Simulation via Self-Evolving Profiles and Rubric-Guided Alignmentcited by 2
  19. 2022MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Textscited by 1
  20. 2022Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systemscited by 1
  21. 2023A Pilot Study on Dialogue-Level Dependency Parsing for Chinesecited by 1
  22. 2023A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representationscited by 1
  23. 2026Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discoursecited by 1
  24. 2021SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysiscited by 0
  25. 2021VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Searchcited by 0
  26. 2021A Neural Conversation Generation Model via Equivalent Shared Memory Investigationcited by 0
  27. 2021Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generationcited by 0
  28. 2022Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectorscited by 0
  29. 2022Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networkscited by 0
  30. 2022Explanation-Guided Fairness Testing through Genetic Algorithmcited by 0
  31. 2022Using Graph Neural Networks for Program Terminationcited by 0
  32. 2023Tribe or Not? Critical Inspection of Group Differences Using TribalGramcited by 0
  33. 2024Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulationcited by 0
  34. 2024End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commercecited by 0
  35. 2026Reasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systemscited by 0