mlsanityData to 7 Oct 2026

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

arXiv 1711.05073 ↗First posted 14 Nov 2017cs.CLcited by 110

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Abstract (arXiv)

This paper introduces DuReader, a new large-scale, open-domain Chinese ma- chine reading comprehension (MRC) dataset, designed to address real-world MRC. DuReader has three advantages over previous MRC datasets: (1) data sources: questions and documents are based on Baidu Search and Baidu Zhidao; answers are manually generated. (2) question types: it provides rich annotations for more question types, especially yes-no and opinion questions, that leaves more opportunity for the research community. (3) scale: it contains 200K questions, 420K answers and 1M documents; it is the largest Chinese MRC dataset so far. Experiments show that human performance is well above current state-of-the-art baseline systems, leaving plenty of room for the community to make improvements. To help the community make these improvements, both DuReader and baseline systems have been posted online. We also organize a shared competition to encourage the exploration of more models. Since the release of the task, there are significant improvements over the baselines.

Key facts. Cited by 110 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Nov 2017.

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Citing papers per year: 2021: 19; 2022: 17; 2023: 21; 2024: 22; 2025: 25; 2026: 6.

110 papers.

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  2. 2024M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillationcited by 1,050
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  7. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
  8. 2023The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Datasetcited by 148
  9. 2021PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computationcited by 134
  10. 2024A Survey on Large Language Model Acceleration based on KV Cache Managementcited by 125
  11. 2023WebCPM: Interactive Web Search for Chinese Long-form Question Answeringcited by 93
  12. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
38 more
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  5. 2023PanGu-Sigma: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computingcited by 55
  6. 2024CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledgecited by 55
  7. 2023Huatuo-26M, a Large-scale Chinese Medical QA Datasetcited by 46
  8. 2021ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generationcited by 45
  9. 2024Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Modelscited by 44
  10. 2025KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Modelcited by 35
  11. 2023Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Trainingcited by 31
  12. 2024LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Acceleratorscited by 31
  13. 2021English Machine Reading Comprehension Datasets: A Surveycited by 26
  14. 2022Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrievalcited by 26
  15. 2021NoiseQA: Challenge Set Evaluation for User-Centric Question Answeringcited by 25
  16. 2024Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retrievercited by 25
  17. 2024Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmarkcited by 22
  18. 2022WeLM: A Well-Read Pre-trained Language Model for Chinesecited by 19
  19. 2025SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Modelscited by 19
  20. 2023SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understandingcited by 18
  21. 2024Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understandingcited by 16
  22. 2022DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Enginecited by 15
  23. 2022A Fine-grained Interpretability Evaluation Benchmark for Neural NLPcited by 15
  24. 2023M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Modelscited by 15
  25. 2023ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Humancited by 14
  26. 2021Sequence tagging for biomedical extractive question answeringcited by 12
  27. 2021Wizard of Search Engine: Access to Information Through Conversations with Search Enginescited by 11
  28. 2026F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual Worldcited by 10
  29. 2022PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Modelcited by 9
  30. 2023GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generationcited by 9
  31. 2025Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connectorcited by 9
  32. 2021More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answeringcited by 8
  33. 2024AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labelscited by 8
  34. 2021OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approachcited by 7
  35. 2022Bridging the Gap between Language Models and Cross-Lingual Sequence Labelingcited by 7
  36. 2022PolQA: Polish Question Answering Datasetcited by 7
  37. 2024CORM: Cache Optimization with Recent Message for Large Language Model Inferencecited by 7
  38. 2025Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learningcited by 7

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