The Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart is an institute of the department of computer science in the faculty of computer science, electrical engineering and information technology. Around 70 people are conducting research and teaching in the areas of visualisation and computer graphics, human-computer interaction and cognitive systems, computer vision and pattern recognition as well as augmented and virtual reality. This DataVerse contains the research data produced by the institute in these fields. Large-scale projects – like collaborative research centres – the institute is participating in might have additional DataVerses containing data produced at VIS. Furthermore, we recommend also visiting the DataVerse of VISUS, our closely related central research institute for the area of visualisation.
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11 to 20 of 10,152 Results
air-mhug-jr_gaze.pickle
Feb 24, 2026 - VQA-MHUG
Unknown - 2.8 MB - MD5: 6cd4347565f02a9651729c592c2836b3
[pickled pandas dataframe] [AiR stimuli] [joint presentation] fixation data of both eyes on joint stimulus
difficulty_scores.pickle
Feb 24, 2026 - VQA-MHUG
Unknown - 77.9 KB - MD5: ca16888f3058978738fc5b9cc5f7e80f
[pickled pandas dataframe] difficulty scores calculated for all question-image pairs
generate_deliverables.py
Feb 24, 2026 - VQA-MHUG
Python Source Code - 10.5 KB - MD5: d40a07143b7e3c28adb58e5617cac3de
script to generate fixation maps and scanpaths from fixation data
README.md
Feb 24, 2026 - VQA-MHUG
Markdown Text - 6.3 KB - MD5: f7b5548fdcf70fed8894e40b5f72db38
Dataset information and usage description
reasoning_types.pickle
Feb 24, 2026 - VQA-MHUG
Unknown - 85.9 KB - MD5: 6f754082c2efb34ea8c14b382b279a9a
[pickled pandas dataframe] reasoning type for all question-image pairs
tools.py
Feb 24, 2026 - VQA-MHUG
Python Source Code - 3.0 KB - MD5: e8da34592737b60024a227ca9745f4be
additional tools to process dataset
vqa-mhug_answers.pickle
Feb 24, 2026 - VQA-MHUG
Unknown - 247.8 KB - MD5: 6619f923c4a30772e6dc7e89e5185ee4
[pickled pandas dataframe] [VQA stimuli] [sequential presentation] participant answers to VQA question after viewing both stimuli
vqa-mhug_bboxes.pickle
Feb 24, 2026 - VQA-MHUG
Unknown - 1.5 MB - MD5: babf3d958ab5b6560c14f1009bac63a8
[pickled pandas dataframe] [VQA stimuli] [sequential presentation] bounding box coordinates of text (words) and image
vqa-mhug_gaze.pickle
Feb 24, 2026 - VQA-MHUG
Unknown - 49.0 MB - MD5: adb4cc0da1318911775480564b0dd7bd
[pickled pandas dataframe] [VQA stimuli] [sequential presentation] fixation data of both eyes on both stimuli
vqa-mhug-jr_answers.pickle
Feb 24, 2026 - VQA-MHUG
Unknown - 51.8 KB - MD5: cc75e69cc01d76df475e9920e4288d8e
[pickled pandas dataframe] [VQA stimuli] [joint presentation] participant answers to VQA question after viewing joint stimulus
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