Dataset · Hugging Face

AaryanK/ExecRetrieval

Name: ExecRetrieval
Creator: AaryanK
License: cc-by-4.0
Keywords: task_categories:sentence-similarity, task_categories:text-retrieval, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2609.01865, region:us, code-retrieval, code-search

ExecRetrieval — Released Artifacts Paper: https://arxiv.org/abs/2609.01865 Accepted to EMNLP 2026 — Main Conference (Budapest, October 2026). This bundle accompanies "ExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding Retrieval" by Aaryan Kapoor and Md Abdullah Al Hafiz Khan (Kennesaw State University), accepted to the main conference of EMNLP 2026. Everything required to (a) inspect the dataset, (b) recompute every metric and table cell in the paper… See the full description on the dataset page: https://huggingface.co/datasets/AaryanK/ExecRetrieval.

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Author / organization	AaryanK
License (as declared)	cc-by-4.0
Downloads	192 (as reported by Hugging Face)
Likes	1
Created	23 August 2026
Last updated at source	4 September 2026

code-retrievalcode-searchfunctional-correctnessembedding-evaluationbenchmarkpython

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