Dataset · Hugging Face

ibm-research/VAKRA

Name: VAKRA
Creator: ibm-research
License: cc-by-nc-sa-4.0
Keywords: task_categories:question-answering, task_categories:text-retrieval, task_categories:text-generation, language:en, license:cc-by-nc-sa-4.0, size_categories:1K<n<10K, modality:text, region:us, LLM Agent, tool-calling, multi-hop, multi-source, rag

🔷 VAKRA: A Benchmark for Evaluating Multi-Hop, Multi-Source Tool-Calling Capabilities in AI Agents VAKRA (eValuating API and Knowledge Retrieval Agents using multi-hop, multi-source dialogues) is a tool-grounded, executable benchmark designed to evaluate how well AI agents reason end-to-end in enterprise-like settings. Rather than testing isolated skills, VARKA measures compositional reasoning across APIs and documents, using full execution traces to assess whether agents can… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/VAKRA.

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Author / organization	ibm-research
License (as declared)	cc-by-nc-sa-4.0
Downloads	17.3K (as reported by Hugging Face)
Likes	48
Created	4 March 2026
Last updated at source	14 September 2026

LLM Agenttool-callingmulti-hopmulti-sourcerag

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