Dataset · Hugging Face

mteb/Core17InstructionRetrieval

Name: Core17InstructionRetrieval
Creator: mteb
License: mit
Keywords: task_categories:text-ranking, annotations_creators:derived, multilinguality:monolingual, source_datasets:jhu-clsp/core17-instructions-mteb, language:eng, license:mit, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2403.15246

Core17InstructionRetrieval An MTEB dataset Massive Text Embedding Benchmark Measuring retrieval instruction following ability on Core17 narratives for the FollowIR benchmark. Task category t2t Domains News, Written Referencehttps://arxiv.org/abs/2403.15246 Source datasets: jhu-clsp/core17-instructions-mteb How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Core17InstructionRetrieval.

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Author / organization	mteb
License (as declared)	mit
Downloads	7.1K (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	5 March 2026

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