| library_name: transformers | |
| license: mit | |
| language: | |
| - en | |
| metrics: | |
| - seqeval | |
| base_model: | |
| - t5-base | |
| pipeline_tag: token-classification | |
| # T5 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:** [t5-base](https://huggingface.co/t5-base) | |
| - **Replication kit:** [https://github.com/aieng-lab/senlp-benchmark](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} | |
| } | |
| ``` | |