mlsanityData to 7 Oct 2026

CORD-19: The COVID-19 Open Research Dataset

arXiv 2004.10706 ↗First posted 22 Apr 2020cs.DL cs.CLcited by 179

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Abstract (arXiv)

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval systems over its rich collection of metadata and structured full text papers. Since its release, CORD-19 has been downloaded over 200K times and has served as the basis of many COVID-19 text mining and discovery systems. In this article, we describe the mechanics of dataset construction, highlighting challenges and key design decisions, provide an overview of how CORD-19 has been used, and describe several shared tasks built around the dataset. We hope this resource will continue to bring together the computing community, biomedical experts, and policy makers in the search for effective treatments and management policies for COVID-19.

Key facts. Cited by 179 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Apr 2020.

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Citing papers per year: 2021: 62; 2022: 32; 2023: 26; 2024: 31; 2025: 20; 2026: 8.

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  1. 2021BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Modelscited by 1,225
  2. 2022RealTime QA: What's the Answer Right Now?cited by 239
  3. 2021BookSum: A Collection of Datasets for Long-form Narrative Summarizationcited by 184
  4. 2023MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrievalcited by 182
  5. 2023A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethicscited by 162
  6. 2021MultiVerS: Improving scientific claim verification with weak supervision and full-document contextcited by 140
  7. 2021DEMix Layers: Disentangling Domains for Modular Language Modelingcited by 130
  8. 2022Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answeringcited by 126
  9. 2022SciRepEval: A Multi-Format Benchmark for Scientific Document Representationscited by 124
  10. 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 123
  11. 2021GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrievalcited by 119
  12. 2024RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systemscited by 115
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  1. 2021COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemiccited by 100
  2. 2021CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmarkcited by 99
  3. 2021Pre-trained Language Models in Biomedical Domain: A Systematic Surveycited by 87
  4. 2024Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrieverscited by 83
  5. 2021The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Modelscited by 81
  6. 2021MS2: Multi-Document Summarization of Medical Studiescited by 80
  7. 2022Do Language Models Plagiarize?cited by 72
  8. 2021Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translationcited by 62
  9. 2023FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledgecited by 55
  10. 2021Biomedical Question Answering: A Survey of Approaches and Challengescited by 46
  11. 2024A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicinecited by 45
  12. 2022Synthetic Disinformation Attacks on Automated Fact Verification Systemscited by 44
  13. 2024Uncertainty in Language Models: Assessment through Rank-Calibrationcited by 40
  14. 2024BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrieverscited by 38
  15. 2023UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankerscited by 37
  16. 2021Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Reviewcited by 35
  17. 2021Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similaritycited by 35
  18. 2025KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Modelcited by 35
  19. 2024A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directionscited by 34
  20. 2024Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extractioncited by 33
  21. 2024Evidence-Driven Retrieval Augmented Response Generation for Online Misinformationcited by 32
  22. 2022Explainable Deep Learning Methods in Medical Image Classification: A Surveycited by 31
  23. 2021A Systematic Collection of Medical Image Datasets for Deep Learningcited by 29
  24. 2021MS MARCO: Benchmarking Ranking Models in the Large-Data Regimecited by 28
  25. 2021Simplified Data Wrangling with ir_datasetscited by 27
  26. 2021VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groupscited by 27
  27. 2023Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidencecited by 25
  28. 2024Retrieval Augmented Fact Verification by Synthesizing Contrastive Argumentscited by 25
  29. 2022A Computational Inflection for Scientific Discoverycited by 22
  30. 2021Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategiescited by 21
  31. 2022Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reductioncited by 21
  32. 2024Fine-Tuned Machine Translation Metrics Struggle in Unseen Domainscited by 21
  33. 2021COVID-19 Named Entity Recognition for Vietnamesecited by 19
  34. 2021Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 19
  35. 2022Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twittercited by 19
  36. 2021How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impactcited by 18
  37. 2021Overview and Insights from the SciVer Shared Task on Scientific Claim Verificationcited by 17
  38. 2024Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutionscited by 17

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