Dataset · Hugging Face

NingLab/ECInstruct

Name: ECInstruct
Creator: NingLab
License: cc-by-4.0
Keywords: task_categories:text-classification, task_categories:question-answering, task_categories:zero-shot-classification, task_categories:feature-extraction, task_categories:text-generation, language:en, license:cc-by-4.0, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us

Dataset Card for ECInstruct 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… See the full description on the dataset page: https://huggingface.co/datasets/NingLab/ECInstruct.

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Author / organization	NingLab
License (as declared)	cc-by-4.0
Downloads	213 (as reported by Hugging Face)
Likes	28
Created	14 February 2024
Last updated at source	8 July 2024

Large Language Models

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16 Oct 2026 Description: Dataset Card for ECInstruct 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 p → Dataset Card for ECInstruct 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 p

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