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ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation

arXiv 1912.00903 ↗First posted 2 Dec 2019cs.CL cs.HCcited by 65

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Abstract (arXiv)

We recorded and preprocessed ZuCo 2.0, a new dataset of simultaneous eye-tracking and electroencephalography during natural reading and during annotation. This corpus contains gaze and brain activity data of 739 sentences, 349 in a normal reading paradigm and 390 in a task-specific paradigm, in which the 18 participants actively search for a semantic relation type in the given sentences as a linguistic annotation task. This new dataset complements ZuCo 1.0 by providing experiments designed to analyze the differences in cognitive processing between natural reading and annotation. The data is freely available here: https://osf.io/2urht/.

Key facts. Cited by 65 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Dec 2019.

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Citing papers per year: 2021: 10; 2022: 7; 2023: 7; 2024: 16; 2025: 13; 2026: 12.

65 papers.

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  1. 2024Large Language Models for Time Series: A Surveycited by 113
  2. 2021Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classificationcited by 67
  3. 2022minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Modelscited by 58
  4. 2025A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontierscited by 34
  5. 2024Are EEG-to-Text Models Working?cited by 32
  6. 2021Multilingual Language Models Predict Human Reading Behaviorcited by 29
  7. 2025Multi-modal Time Series Analysis: A Tutorial and Surveycited by 24
  8. 2021Relative Importance in Sentence Processingcited by 22
  9. 2021EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Predictioncited by 21
  10. 2023Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Readingcited by 18
  11. 2024Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)cited by 18
  12. 2021Decoding EEG Brain Activity for Multi-Modal Natural Language Processingcited by 13
38 more
  1. 2022Can Brain Signals Reveal Inner Alignment with Human Languages?cited by 12
  2. 2024Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Modelscited by 11
  3. 2024Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Textcited by 10
  4. 2023Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decodingcited by 9
  5. 2024MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Modelscited by 9
  6. 2024BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decodingcited by 9
  7. 2022The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Textscited by 7
  8. 2022Connecting Neural Response measurements & Computational Models of language: a non-comprehensive guidecited by 6
  9. 2022A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applicationscited by 6
  10. 2023WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Datasetcited by 6
  11. 2024SEE: Semantically Aligned EEG-to-Text Translationcited by 6
  12. 2021LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approachcited by 5
  13. 2021Reading Task Classification Using EEG and Eye-Tracking Datacited by 5
  14. 2023Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learningcited by 5
  15. 2023BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervisioncited by 5
  16. 2023Probing Large Language Models from A Human Behavioral Perspectivecited by 5
  17. 2024PoTeC: A German Naturalistic Eye-tracking-while-reading Corpuscited by 5
  18. 2024EMTeC: A Corpus of Eye Movements on Machine-Generated Textscited by 5
  19. 2024Decoding Reading Goals from Eye Movementscited by 5
  20. 2025Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generationcited by 4
  21. 2025Large Language Models for EEG: A Comprehensive Survey and Taxonomycited by 4
  22. 2022Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Modelscited by 3
  23. 2023Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networkscited by 3
  24. 2024CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Modelscited by 3
  25. 2025A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyondcited by 3
  26. 2025OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responsescited by 3
  27. 2026Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decodingcited by 3
  28. 2024EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and Morecited by 2
  29. 2025On Creating A Brain-To-Text Decodercited by 2
  30. 2025ETS: Open Vocabulary Electroencephalography-To-Text Decoding and Sentiment Classificationcited by 2
  31. 2021Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identificationcited by 1
  32. 2024Decoding Linguistic Representations of Human Braincited by 1
  33. 2024Reverse-Engineering the Readercited by 1
  34. 2025Unknown Word Detection for English as a Second Language (ESL) Learners Using Gaze and Pre-trained Language Modelscited by 1
  35. 2026Statistical Opportunities in Neuroimagingcited by 1
  36. 2021Retrieving Event-related Human Brain Dynamics from Natural Sentence Readingcited by 0
  37. 2021Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Predictioncited by 0
  38. 2022NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Spacecited by 0

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