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doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

arXiv 2011.06623 ↗First posted 12 Nov 2020cs.CLcited by 88

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Abstract (arXiv)

We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the associated documents. Inspired by how the authors compose documents for guiding end users, we first construct dialogue flows based on the content elements that corresponds to higher-level relations across text sections as well as lower-level relations between discourse units within a section. Then we present these dialogue flows to crowd contributors to create conversational utterances. The dataset includes about 4800 annotated conversations with an average of 14 turns that are grounded in over 480 documents from four domains. Compared to the prior document-grounded dialogue datasets, this dataset covers a variety of dialogue scenes in information-seeking conversations. For evaluating the versatility of the dataset, we introduce multiple dialogue modeling tasks and present baseline approaches.

Key facts. Cited by 88 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Nov 2020.

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Citing papers per year: 2021: 10; 2022: 20; 2023: 20; 2024: 18; 2025: 13; 2026: 7.

88 papers.

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  1. 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMscited by 200
  2. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  3. 2024A Survey on Large Language Model Acceleration based on KV Cache Managementcited by 125
  4. 2025On Memory Construction and Retrieval for Personalized Conversational Agentscited by 101
  5. 2023MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversationcited by 94
  6. 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAGcited by 90
  7. 2022Dialog Inpainting: Turning Documents into Dialogscited by 56
  8. 2021MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documentscited by 53
  9. 2023InstructRetro: Instruction Tuning post Retrieval-Augmented Pretrainingcited by 53
  10. 2022InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuningcited by 39
  11. 2024DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systemscited by 37
  12. 2022SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generationcited by 34
38 more
  1. 2023Opportunities and Challenges in Neural Dialog Tutoringcited by 33
  2. 2021Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoringcited by 29
  3. 2022SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understandingcited by 28
  4. 2022INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactionscited by 27
  5. 2021DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualizationcited by 21
  6. 2025A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applicationscited by 21
  7. 2021End-to-End Learning of Flowchart Grounded Task-Oriented Dialogscited by 19
  8. 2024DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applicationscited by 18
  9. 2023ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?cited by 15
  10. 2024Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answerscited by 15
  11. 2022Dialog Acts for Task-Driven Embodied Agentscited by 13
  12. 2022Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goalscited by 12
  13. 2023Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representationcited by 11
  14. 2023Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generationcited by 11
  15. 2021DG2: Data Augmentation Through Document Grounded Dialogue Generationcited by 10
  16. 2023SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentationcited by 10
  17. 2023Diversify Question Generation with Retrieval-Augmented Style Transfercited by 10
  18. 2025WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generationcited by 9
  19. 2022UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialoguecited by 8
  20. 2024CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generationcited by 8
  21. 2025EnronQA: Towards Personalized RAG over Private Documentscited by 8
  22. 2022Task2Dial: A Novel Task and Dataset for Commonsense enhanced Task-based Dialogue Grounded in Documentscited by 7
  23. 2022Mediators: Conversational Agents Explaining NLP Model Behaviorcited by 7
  24. 2022Ontologically Faithful Generation of Non-Player Character Dialoguescited by 7
  25. 2023Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialoguescited by 7
  26. 2023Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarizationcited by 7
  27. 2024Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialoguecited by 7
  28. 2025Post-training for Efficient Communication via Convention Formationcited by 7
  29. 2021HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Managementcited by 6
  30. 2023PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialoguecited by 6
  31. 2023Coarse-to-Fine Knowledge Selection for Document Grounded Dialogscited by 6
  32. 2023The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intentscited by 6
  33. 2023"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledgecited by 6
  34. 2024Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcriptscited by 6
  35. 2021Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Modelcited by 5
  36. 2023NewsDialogues: Towards Proactive News Grounded Conversationcited by 5
  37. 2024INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Modelscited by 5
  38. 2021Cascaded Span Extraction and Response Generation for Document-Grounded Dialogcited by 4

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