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Shopping queries dataset: A large-scale ESCI benchmark for improving product search

Chandan Reddy, Nurendra Choudhary, Lluís Marquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas
2022
Last updated May 13, 2023
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We introduce the “Shopping Queries Data Set”, a large dataset of difficult search queries, released with the aim of fostering research in the area of semantic matching of queries and products. For each query, the dataset provides a list of up to 40 potentially relevant results, together with ESCI relevance judgements (Exact, Substitute, Complement, Irrelevant) indicating the relevance of the product to the query. Each query-product pair is accompanied by additional information. The dataset is multilingual, as it contains queries in English, Japanese, and Spanish. The primary objective of releasing this dataset is to create a benchmark for building new ranking strategies and simultaneously identifying interesting categories of results (i.e., substitutes) that can be used to improve the customer experience when searching for products.

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