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CodeSearchNet Challenge Evaluating the State of Semantic Code

8 June 2020 the CodeSearchNet Corpus and are presenting the CodeSearch-. Net Challenge which consists of 99 natural language queries with.

Learning Deep Semantic Model for Code Search using

28 Jan 2022 the CodeSearchNet challenge [1] about semantic code search. We align cross-lingual embed- ding for multi-modality learning with large ...

PyTorrent: A Python Library Corpus for Large-scale Language Models

4 Oct 2021 Firstly Unlike CodeSearchNet

Multimodal Representation for Neural Code Search

Bag-of-Words Baselines for Semantic Code Search

1 Aug 2021 RM3 on the CodeSearchNet Corpus

AugmentedCode: Examining the Effects of Natural Language

16 Oct 2021 gramming language which outperforms on CodeSearchNet and CodeBERT with a Mean Reciprocal Rank (MRR) of 0.73 and 0.96 respectively.

Code Summarization: Do Transformers Really Understand Code?

our analysis on CodeSearchNet TL-CodeSum and. 108. Python datasets for Python and Java programming. 109 languages. The data statistics are provided in Ap-.

GraphSearchNet: Enhancing GNNs via Capturing Global

9 Feb 2022 The extensive experiments on Java and Python programming language from the public benchmark CodeSearchNet confirm that. GraphSearchNet ...

CoDesc: A Large Code–Description Parallel Dataset

1 Aug 2021 Code Search and Summarization CODE-NN. (Iyer et al. 2016) is a pioneering work in data- driven code summarization. The CodeSearchNet dataset ...

Automatic Code Generation using Pre-Trained Language Models

Figure 4 explains the general architecture of the baseline models from the CodeSearchNet task. We successfully trained and evaluated two baselines: Neural-Bag-