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1 to 10 of 23 Results
May 8, 2023
Yeo, Geremie Yun Siang, 2023, "Dataset and Code for: Code problem similarity detection using code clones and pretrained models", https://doi.org/10.21979/N9/VPCR7H, DR-NTU (Data), V1
This dataset complements the following study: Code problem similarity detection using code clones and pretrained models (SCSE22-0384). This study explores a new approach of detecting similar algorithmic-style code problems from websites such as LeetCode and Codeforces, by compari...
ZIP Archive - 50.9 MB - MD5: 174acb07aa594e6894520042f9038498
Dataset
ZIP Archive - 54.7 MB - MD5: 58da50cc5d7a27484673a55769105516
Dataset
Jupyter Notebook - 6.7 KB - MD5: 77cd5eee398628fc467b4da048ac5f55
Generate pairs for the pair of problems to be compared
Python Source Code - 1.8 KB - MD5: eb1d31c22a9e32bc601b6f1a7ead84af
CPSC model file
Jupyter Notebook - 64.0 KB - MD5: 71368741aa3ee413af1aab1c2748f1bf
Notebook for preliminary tests
Python Source Code - 12.9 KB - MD5: 42615d85a0c47cbe646862a387af1fbd
CPSC run file
Python Source Code - 16.8 KB - MD5: a96bbdaedd2ba810cc5d2a7b00bc7bf7
Code file for preliminary tests
Jupyter Notebook - 9.1 KB - MD5: a6310d6fcc3c8ed39371cfbe7e795f44
Results for UniXcoder model (0.905)
Jul 27, 2021
Tan, Meng Jie Zachary, 2021, "The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study", https://doi.org/10.21979/N9/0LGZYN, DR-NTU (Data), V1
The dataset complements the following study: This study looks at the content on Reddit’s COVID-19 community, r/Coronavirus, to capture and understand the main themes and discussions around the global pandemic, and their evolution, over the first year. It is based on 356,690 submi...
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