1 to 10 of 19 Results
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
ZIP Archive - 50.9 MB -
MD5: 174acb07aa594e6894520042f9038498
Dataset |
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
ZIP Archive - 54.7 MB -
MD5: 58da50cc5d7a27484673a55769105516
Dataset |
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Jupyter Notebook - 6.7 KB -
MD5: 77cd5eee398628fc467b4da048ac5f55
Generate pairs for the pair of problems to be compared |
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Python Source Code - 1.8 KB -
MD5: eb1d31c22a9e32bc601b6f1a7ead84af
CPSC model file |
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Jupyter Notebook - 64.0 KB -
MD5: 71368741aa3ee413af1aab1c2748f1bf
Notebook for preliminary tests |
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Python Source Code - 12.9 KB -
MD5: 42615d85a0c47cbe646862a387af1fbd
CPSC run file |
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Python Source Code - 16.8 KB -
MD5: a96bbdaedd2ba810cc5d2a7b00bc7bf7
Code file for preliminary tests |
May 8, 2023 -
Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Jupyter Notebook - 9.1 KB -
MD5: a6310d6fcc3c8ed39371cfbe7e795f44
Results for UniXcoder model (0.905) |
Jul 27, 2021 -
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study
Jupyter Notebook - 5.3 KB -
MD5: 90a460a48256ad819b76dbb3f13295f8
Python notebook for crawling Reddit comments using Pushshift API |
Jul 27, 2021 -
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study
Jupyter Notebook - 17.7 MB -
MD5: 3b574943513e96b9cf5764af147d1bd1
Python notebook for comment data exploration |
