A dataset made up of 9 years of transaction (scanner) data for 26 different categories in 100 stores sold by Dominick's finer foods (a now defunct retailer in Chicago in the 90s).

This is a collection of scanner data on the sale of rice, sugar and milk products in one of Polish supermarkets in the period from December 2024 to January 2026. Data was collected by Statistics Poland.

Note: When opening the dataset, skip the index column and use ";" as a separator. For example: Using Python: pd.read_csv("https://zenodo.org/records/18342253/files/dataRSM.csv?download=1", sep=";", index_col=False)

Modified version of an original dataset created by Ralph Turvey in 1979. Turvey (1979) shared an artificial dataset for 5 seasonal commodities over 4 years. The original dataset was modified twice. This is the version most commonly used, as taken from the ILO et al (2004) CPI Manual: Theory and Practice.

This web scraped dataset includes retail prices for meat, fruit, and vegetable products collected over a period spanning from December 2020 to March 2023 (2 years and 4.5 months or 862 days). Dataset facilitates comprehensive analyses, enabling exploration of regional price variations, comparisons across product categories, and time-series investigations into price dynamics within the Italian retail food market.

A modified dataset that was based on real scanner data obtained from GfK. The dataset contains sales (both quanitity and total sales) by month for 459 unique products in a single consumer electronic category for a total of 26 months (2017-01-01 to 2019-02-01). The dataset includes 11 different quality chacacteristics (all are obfuscated to hide their true values). Distribution of quality characteristis and their relationships to quality adjustment was maintained during the modification process.

Dataset facilitates evaluation of quality adjustment methods with scanner data.

Dataset developed by Eurostat for the 'Guide on Multilateral Methods in the HICP' with seasonal data to help demonstrate multilateral methods