Classified samples are very important to evaluation and building of linguist models.
The file data/random_batch_18_nov_2020.csv contains randomly samples commits of the repositories described at the CCP paper
It contains 5000 commits but even labeling few commits will be useful.
The labeling should follow the protocols
Be sure to justify your labels in order to improve the clarity.
Cases not described in the protocol are rare and valuable to the protocol improvement.
Please raise them as modification to the protocol.
The folowing data set can be use as example of the classification
Classified samples are very important to evaluation and building of linguist models.
The file data/random_batch_18_nov_2020.csv contains randomly samples commits of the repositories described at the CCP paper
It contains 5000 commits but even labeling few commits will be useful.
The labeling should follow the protocols
Be sure to justify your labels in order to improve the clarity.
Cases not described in the protocol are rare and valuable to the protocol improvement.
Please raise them as modification to the protocol.
The folowing data set can be use as example of the classification