This colab notebook supports OpenReview API review processes. This particular notebook is using the API for NeurIPS 2021 Dataset and Benchmark Track (rounds 1 and 2).
The invitation code for it is NeurIPS.cc/2021/Track/Datasets_and_Benchmarks/Round2/.
The call for papers can be found here: https://neurips.cc/Conferences/2021/CallForDatasetsBenchmarks.
If you wish to embellish the notebook and add much more functionality, I would advise you to check out this excellent repository:
https://github.com/shaohua0116/ICLR2020-OpenReviewData.
Watch the mean paper mark rise as reviewers ignore your rebuttals and your paper slips below the acceptance threshold! In all seriousness, engagement in Round 2 of this track appears to have been excellent, for which reviewers and area chairs can be applauded.
Some basic summary statistics:
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Mean mark before rebuttals: 5.5
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Mean mark after rebuttals: 5.8
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Total number of submissions (not withdrawn): 254
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The notebook is based heavily on the openreview-py client, be sure to check it out for many more comprehensive options and general instructions for connecting to arbitrary venues.
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If you are the original author of
ICLRdata2020.ipynb, please contact me so I can give appropriate credit: I cannot find the original link to the notebook.
Enjoy responsibly!