Labeled code vectors pre trained code2vec (not issue but link share)

[CasperSchroder]

G drive link:

https://drive.google.com/open?id=1G0JtgelCNjjIHiGolUpF-4DbIrGyUdxO

[jan-gerling]

Latest version:
https://drive.google.com/file/d/1ah6_wNtE_7yFHtFfB-WZSos3KsZDgIEr/view?usp=sharing

[Dekelv]

small preprocced dataset:
https://drive.google.com/drive/folders/19YT1Od8ME-q-48kfd-79LOIJHcj1ZM_b?usp=sharing

[jan-gerling]

220.000 codevectors, names and labels, balanced with 20% positive and shuffled:
https://drive.google.com/file/d/1xd24wG7lpcw1SF8SwZAtshEl1W6jZsu8/view?usp=sharing

[Dekelv]

https://drive.google.com/drive/folders/180Lqpmp4X4YPwbAf_94uBiuj0B8pSM8D?usp=sharing
complete preprocessed data train is 24k positive and 96k negative

[jan-gerling]

Test set with 104K methods, 3k positive, shuffled, from elastic search:
https://drive.google.com/file/d/1u1thXBhpmdaANGtSp4daSeEpe-tfG8S2/view?usp=sharing

[jan-gerling]

test data set with 20K methods from apache projects:
https://drive.google.com/file/d/1NTLQyrDPUaivfvzCLWmhloyT_IQxmUp1/view?usp=sharing

[jan-gerling]

codevectors_labeled_shuffled_test02 :

• sample_count: 19486
• positive_count: 735
• negative_count: 18751

codevectors_labeled_shuffled_test :

• sample_count: 104982
• positive_count: 2865
• negative_count: 102117

codevectors_labeled_rebalanced-0-2_shuffled :

• sample_count: 220365
• positive_count: 44073
• negative_count: 176292