Dataset Open Access
A Code Token Type Taxonomy-enhanced dataset with pre-computed token types for Python150k
Le, Kim Tuyen; Rashidi, Gabriel; Andrzejak, Artur
Code Token Type Taxonomy (CT3) is a methodology for refined evaluation of ML-based code completion approaches.
We published the CT3-enhanced dataset with pre-computed token types for each token in the Python150k dataset.
The dataset was obtained from an empirical study of the below paper:
Kim Tuyen Le, Gabriel Rashidi, and Artur Andrzejak. A Methodology for Refined Evaluation of ML-based Code Completion Approaches. In Special Issue on Programming Language Processing, Data Mining and Knowledge Discovery.
Please read the README.txt file for detailed information of structuring the enhanced dataset.
Files
(1.1 GB)
| Name | Size | |
|---|---|---|
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CT3-dataset-journal-20211128.zip
md5:52f69f659e875a8c4f937552bb96830a |
1.1 GB | Download |
48
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views
downloads
| All versions | This version | |
|---|---|---|
| Views | 48 | 28 |
| Downloads | 2 | 2 |
| Data volume | 2.1 GB | 2.1 GB |
| Unique views | 35 | 21 |
| Unique downloads | 2 | 2 |
Indexed in
- Publication date:
- November 28, 2021
- DOI:
-
- Keyword(s):
- code completion accuracy evaluation code token types
- License (for files):
- Creative Commons Attribution 4.0 International