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This dataset contains crowdsourced image descriptions for 7471 images from the DEArt dataset. There are typically 4-5 descriptions per image, provided by volunteers of the Zooniverse crowdsourcing platform. The guidelines we used, together with some examples of possible captions, are also published in Zooniverse. We are in debt with all the Zooniverse volunteers and coordinators, and in particular with Samantha Blickhan, for making this possible. Some image descriptions were filtered out whenever they did not contain any textual data, nevertheless the dataset may still contain some descriptions that are not according to the guidelines we provided to the annotators. The dataset is a data export from Zooniverse in CSV format, in which the user information has been anonymized. The CSV also includes a field with the filename of the described image in the DEArt dataset.
{"references": ["Zooniverse project (including annotation guidelines): https://www.zooniverse.org/projects/artem-dot-reshetnikov/saint-george-on-a-bike/about/research", "Zooniverse data exports: https://help.zooniverse.org/next-steps/data-exports/"]}
This research has been supported by the Saint George on a Bike project 2018-EU-IA-0104, co-financed by the Connecting Europe Facility of the European Union.
Visual Content Description, Crowdsourcing, 2D Art, Cultural Heritage
Visual Content Description, Crowdsourcing, 2D Art, Cultural Heritage
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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