Skip to main content
zenodorestricted

Towards Explainable Classification of Non-Functional Requirements Using Fine-Tune-Chain-of-Thought Reasoning - Repo 2

<p>Supplementary material for <em>Towards Explainable Classification of Non-Functional Requirements Using Fine-Tune-Chain-of-Thought Reasoning&nbsp;</em></p> <div> <div>&nbsp;</div> <div>This version contains the llama2-7B model generated output for NFR identification on the PURE dataset. As discussed, the llama2-7B model mostly generated extraneous text.&nbsp;</div> <div>&nbsp;</div> <div>Llama2-7B generated output can be found in the column &gt; <em>Model_output</em></div> <div>Input to Llama2-7B column &gt; &nbsp;<em>llama_input_pure_test</em></div> <div>&nbsp;</div> <div><strong>Here is the link to repo 1 for accessing the fine-tuned models, code, and datasets &gt; <a href="../records/10574330">https://zenodo.org/records/10574330</a></strong></div> </div>

ShareScore

16/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
0
Engagement
0