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Datasets:
deepkyu
/
github-as-altmetric

Tasks:
Tabular Regression
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Libraries:
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metadata
license: apache-2.0
task_categories:
  - tabular-regression
language:
  - en

About dataset

We construct this dataset for our study, which investigates the correlation between GitHub communication metrics and citation counts, examining the potential of the metrics as an altmetric.

Currently, it contains about 12,000 samples of publications, which are published by top-tier AI conferences. The citation counts and the corresponding GitHub metrics might need to be updated. We strive our best to update more conferences and keep values up-to-date.

Target conferences

We collect publications from 2018 to 2022 in the following conferences:

  • CVPR
  • ECCV
  • ICML
  • ICLR
  • NeurIPS

Those are conferences which are to be included.

  • ICCV
  • ACL
  • EMNLP
  • NAACL
  • AAAI
  • INTERSPEECH
  • ICASSP

Contributors

Please note that most contributors in this project major in library science, so there might be a need for more knowledge about ML/DL and AI fields.