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2017-01-28 00:00:00
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numpy/lib/tests/test_packbits.py
178
from __future__ import division, absolute_import, print_function import numpy as np from numpy.testing import ( assert_array_equal, assert_equal, assert_raises, run_module_suite ) def test_packbits(): # Copied from the docstring. a = [[[1, 0, 1], [0, 1, 0]], [[1, 1, 0], [0, 0, 1]]] for dt in...
numpy_numpy
2017-01-24
c5e1773f0d77755e21d072eb106b8e51a672bfa8
wp-admin/js/customize-controls.min.js
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WordPress_WordPress
2017-01-28
1015c3b3a07ad6b530bb3aed7e0e11549da791cb
wp-admin/css/customize-nav-menus-rtl.min.css
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2017-01-28
1015c3b3a07ad6b530bb3aed7e0e11549da791cb
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2017-01-28
1015c3b3a07ad6b530bb3aed7e0e11549da791cb
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2017-01-28
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2017-01-28
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2017-01-28
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End of preview. Expand in Data Studio

RealTimeData Monthly Collection - Github Code

This datasets provides the monthly screenshots of the 500 cherry-picked open source projects on GitHub from 2017 to current.

To access articles in a specific month, simple run the following:

ds = datasets.load_dataset('RealTimeData/code_alltime', '2020-02')

This will give you the 2020-02 version of the 500 selected GitHub repos that were just updated in 2020-02.

Want to crawl the data by your own?

Please head to LatestEval for the crawler scripts.

Credit

This is resources is created in this AAAI'24 paper: LatestEval: Addressing data contamination through dynamic and time-sensitive test construction.

If you find this collection helpful, please consider cite this paper:

@inproceedings{li2024latesteval,
  title={Latesteval: Addressing data contamination in language model evaluation through dynamic and time-sensitive test construction},
  author={Li, Yucheng and Guerin, Frank and Lin, Chenghua},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={17},
  pages={18600--18607},
  year={2024}
}
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