CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
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Abstract (arXiv)
We present a new dataset for machine comprehension in the medical domain. Our dataset uses clinical case reports with around 100,000 gap-filling queries about these cases. We apply several baselines and state-of-the-art neural readers to the dataset, and observe a considerable gap in performance (20% F1) between the best human and machine readers. We analyze the skills required for successful answering and show how reader performance varies depending on the applicable skills. We find that inferences using domain knowledge and object tracking are the most frequently required skills, and that recognizing omitted information and spatio-temporal reasoning are the most difficult for the machines.
Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Mar 2018.
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Citing papers per year: 2021: 9; 2022: 9; 2023: 7; 2024: 7; 2025: 2.
34 papers.
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- 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 525
- 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
- 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 123
- 2023CMB: A Comprehensive Medical Benchmark in Chinesecited by 113
- 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
- 2023Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Datasetcited by 90
- 2021Pre-trained Language Models in Biomedical Domain: A Systematic Surveycited by 87
- 2023Towards Mitigating Hallucination in Large Language Models via Self-Reflectioncited by 81
- 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Paperscited by 75
- 2021Biomedical Question Answering: A Survey of Approaches and Challengescited by 46
- 2023Huatuo-26M, a Large-scale Chinese Medical QA Datasetcited by 46
- 2024A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Taskscited by 46
22 more
- 2021AMMU : A Survey of Transformer-based Biomedical Pretrained Language Modelscited by 32
- 2021Conversational Question Answering: A Surveycited by 31
- 2021English Machine Reading Comprehension Datasets: A Surveycited by 26
- 2022Modern Question Answering Datasets and Benchmarks: A Surveycited by 23
- 2022DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queriescited by 17
- 2022Learning to Ask Like a Physiciancited by 16
- 2024Large Language Model Benchmarks in Medical Taskscited by 16
- 2021Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecturecited by 9
- 2024SyllabusQA: A Course Logistics Question Answering Datasetcited by 9
- 2023Question Answering for Electronic Health Records: A Scoping Review of datasets and modelscited by 7
- 2022SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Textscited by 5
- 2022To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answeringcited by 5
- 2021Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notescited by 4
- 2022Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Recordscited by 4
- 2024SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Modelscited by 2
- 2024Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehensioncited by 1
- 2022Multi Document Reading Comprehensioncited by 0
- 2022InDEX: Indonesian Idiom and Expression Dataset for Cloze Testcited by 0
- 2023Fine-tuning pre-trained extractive QA models for clinical document parsingcited by 0
- 2024Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasetscited by 0
- 2025End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systemscited by 0
- 2025Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answeringcited by 0
- 2025Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering21 Oct 2025
- 2025End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems8 Apr 2025
- 2024Large Language Model Benchmarks in Medical Tasks28 Oct 2024
- 2024Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets4 Aug 2024
- 2024A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks17 Jul 2024
- 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers12 Jul 2024
- 2024Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension29 May 2024
- 2024SyllabusQA: A Course Logistics Question Answering Dataset3 Mar 2024
- 2024SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models1 Feb 2024
- 2023Fine-tuning pre-trained extractive QA models for clinical document parsing4 Dec 2023
- 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challenge9 Nov 2023
- 2023Question Answering for Electronic Health Records: A Scoping Review of datasets and models12 Oct 2023
22 more
- 2023Towards Mitigating Hallucination in Large Language Models via Self-Reflection10 Oct 2023
- 2023CMB: A Comprehensive Medical Benchmark in Chinese17 Aug 2023
- 2023Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset5 Jun 2023
- 2023Huatuo-26M, a Large-scale Chinese Medical QA Dataset2 May 2023
- 2022To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering20 Dec 2022
- 2022InDEX: Indonesian Idiom and Expression Dataset for Cloze Test24 Nov 2022
- 2022Modern Question Answering Datasets and Benchmarks: A Survey30 Jun 2022
- 2022SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts20 Jun 2022
- 2022Learning to Ask Like a Physician6 Jun 2022
- 2022DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries3 May 2022
- 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering27 Mar 2022
- 2022Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records14 Mar 2022
- 2022Multi Document Reading Comprehension5 Jan 2022
- 2021Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture14 Nov 2021
- 2021Pre-trained Language Models in Biomedical Domain: A Systematic Survey11 Oct 2021
- 2021Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes1 Aug 2021
- 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension27 Jul 2021
- 2021Conversational Question Answering: A Survey2 Jun 2021
- 2021AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models16 Apr 2021
- 2021Biomedical Question Answering: A Survey of Approaches and Challenges10 Feb 2021
- 2021English Machine Reading Comprehension Datasets: A Survey25 Jan 2021
- 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering4 Jan 2021
- 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 525
- 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
- 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 123
- 2023CMB: A Comprehensive Medical Benchmark in Chinesecited by 113
- 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
- 2023Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Datasetcited by 90
- 2021Pre-trained Language Models in Biomedical Domain: A Systematic Surveycited by 87
- 2023Towards Mitigating Hallucination in Large Language Models via Self-Reflectioncited by 81
- 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Paperscited by 75
- 2021Biomedical Question Answering: A Survey of Approaches and Challengescited by 46
- 2023Huatuo-26M, a Large-scale Chinese Medical QA Datasetcited by 46
- 2024A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Taskscited by 46
12 most cited of 34 All 34 (JSON)
- 2025Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering21 Oct 2025
- 2025End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems8 Apr 2025
- 2024Large Language Model Benchmarks in Medical Tasks28 Oct 2024
- 2024Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets4 Aug 2024
- 2024A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks17 Jul 2024
- 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers12 Jul 2024
- 2024Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension29 May 2024
- 2024SyllabusQA: A Course Logistics Question Answering Dataset3 Mar 2024
- 2024SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models1 Feb 2024
- 2023Fine-tuning pre-trained extractive QA models for clinical document parsing4 Dec 2023
- 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challenge9 Nov 2023
- 2023Question Answering for Electronic Health Records: A Scoping Review of datasets and models12 Oct 2023
12 newest of 34 All 34 (JSON)