This folder contains the data used in the EMNLP 2023 paper Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications.
Code is available on Github at
https://github.com/ManuelFay/IFTEval.
Instruction Fine-Tuning (IFT) is a powerful paradigm that strengthens the zero-shot capabilities of Large Language Models (LLMs), but in doing so induces new evaluation… See the full description on the dataset page:
https://huggingface.co/datasets/manu/IFTEval.
