metadata

library_name: transformers
license: mit
language:
  - en
metrics:
  - seqeval
base_model:
  - microsoft/codebert-base
pipeline_tag: token-classification

CodeBERT base for detecting software engineering terminology

This model detects software engineering terminology in developer forums (e.g., Stack Overflow) as 'Data_Structure', 'Application', 'Code_Block', 'Function", 'Data_Type', 'Language', 'Library', 'Variable', 'Device', 'User_Name', 'User_Interface_Element', 'Class', 'Website', 'Version', 'File_Name', 'File_Type', 'Operating_System', 'Output_Block', 'Algorithm' or 'HTML_XML_Tag'.

Developed by: Fabian C. Peña, Steffen Herbold
Finetuned from: microsoft/codebert-base
Replication kit: https://github.com/aieng-lab/senlp-benchmark
Language: English
License: MIT

Citation

@misc{pena2025benchmark,
  author    = {Fabian Peña and Steffen Herbold},
  title     = {Evaluating Large Language Models on Non-Code Software Engineering Tasks},
  year      = {2025}
}