Dataset · Hugging Face

SalutefaceAAC/data-cleaning-recipes

Name: data-cleaning-recipes
Creator: SalutefaceAAC
License: apache-2.0
Keywords: task_categories:text-generation, language:en, license:apache-2.0, size_categories:n<1K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, data-cleaning, code-generation, synthetic, pandas

Data Cleaning Recipes A curated synthetic dataset of 129 data-cleaning recipes spanning Python (pandas, polars, pandera, Great Expectations), SQL (PostgreSQL), and R (dplyr/tidyr). Each record pairs a real-world data-quality problem with a working code solution, a concrete dirty-data example, and a plain-English explanation. Dataset Summary Split Examples train 103 val 13 test 13 total 129 Schema Field Type Description… See the full description on the dataset page: https://huggingface.co/datasets/SalutefaceAAC/data-cleaning-recipes.

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Author / organization	SalutefaceAAC
License (as declared)	apache-2.0
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	25 October 2026
Last updated at source	25 October 2026

data-cleaningcode-generationsyntheticpandassqldplyrpolarsdata-qualitydata-engineering

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