Our paper was accepted to ICML 2024.
ECInstruct comprises 10 tasks, including attribute value extraction, product relation prediction,
product matching, sentiment analysis, sequential recommendation, multiclass product classification, product
substitute identification, query product rank, answerability prediction, and answer generation.
ECInstruct is split into training sets, validation sets, in-domain (IND)
test sets, and out-of-domain (OOD) test sets.… See the full description on the dataset page:
https://huggingface.co/datasets/NingLab/ECInstruct.
