CodeXGLUE
A suite of 10 code tasks across 14 datasets, grouped as code to code, text to code, code to text and text to text. Tasks include clone detection, defect detection, code completion, code repair, code search, code generation and code summarization. Each task has its own metric, such as accuracy, BLEU or MRR.
Built for fine-tuned code models such as CodeBERT, and its leaderboard has few recent entries. Several datasets come from earlier work. About 1,850 GitHub stars.
- Made by
- Microsoft Research Asia and Microsoft
- Released
- February 2021
- Kind
- Function-level problems
- Level
- School
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- All public
In the authors’ words
Benchmark datasets have a significant impact on accelerating research in programming language tasks. In this paper, we introduce CodeXGLUE, a benchmark dataset to foster machine learning research for program understanding and generation. CodeXGLUE includes a collection of 10 tasks across 14 datasets and a platform for model evaluation and comparison. CodeXGLUE also features three baseline systems, including the BERT-style, GPT-style, and Encoder-Decoder models, to make it easy for researchers to use the platform. The availability of such data and baselines can help the development and validation of new methods that can be applied to various program understanding and generation problems.
CodeBERT Baseline tops the leaderboard with 57.5
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 1 CodeBERT Baseline 57.5
Source: Official CodeXGLUE leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | CodeBERT Baseline | 57.5 | Aug 2020 | Official leaderboard |
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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