Dataset · Hugging Face

mteb/DS1000Retrieval

Name: DS1000Retrieval
Creator: mteb
License: mit
Keywords: task_categories:text-retrieval, annotations_creators:expert-annotated, multilinguality:multilingual, source_datasets:embedding-benchmark/DS1000, language:code, language:eng, license:mit, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant

DS1000Retrieval An MTEB dataset Massive Text Embedding Benchmark A code retrieval task based on 1,000 data science programming problems from DS-1000. Each query is a natural language description of a data science task (e.g., 'Create a scatter plot of column A vs column B with matplotlib'), and the corpus contains Python code implementations using libraries like pandas, numpy, matplotlib, scikit-learn, and scipy. The task is to retrieve the correct code snippet that solves the… See the full description on the dataset page: https://huggingface.co/datasets/mteb/DS1000Retrieval.

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Author / organization	mteb
License (as declared)	mit
Downloads	151 (as reported by Hugging Face)
Likes	1
Created	21 October 2025
Last updated at source	21 October 2025

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