--- title: EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios description: EVA-Bench 2.0 is an open-source benchmark for evaluating enterprise voice agents, expanding from one domain to three: Airline Customer Service Management,... canonical: https://daily.dev/posts/eva-bench-data-2-0-3-domains-121-tools-213-scenarios-8h0ks6ujs twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios | daily.dev og:description: EVA-Bench 2.0 is an open-source benchmark for evaluating enterprise voice agents, expanding from one domain to three: Airline Customer Service Management,... og:url: https://daily.dev/posts/eva-bench-data-2-0-3-domains-121-tools-213-scenarios-8h0ks6ujs og:image: https://api.daily.dev/og/posts/8h0kS6ujs.png og:image:alt: EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios **[Hugging Face](https://daily.dev/sources/huggingface)** · 10 min read · 0 upvotes · 0 comments ## Summary EVA-Bench 2.0 is an open-source benchmark for evaluating enterprise voice agents, expanding from one domain to three: Airline Customer Service Management, Enterprise IT Service Management, and Healthcare HR Service Delivery. The release covers 213 evaluation scenarios across 121 tools — roughly 4x the original coverage. Scenarios are generated using SyGra, a graph-based synthetic data pipeline, and validated against three frontier models (GPT-5.4, Gemini 3.1 Pro, Claude Opus 4.6). Key design principles include voice-first scope, realism, scenario variety (single-intent, multi-intent, adversarial), authentication flows, and strict reproducibility via deterministic user goals and ground-truth database states. A multilingual extension is also previewed. All datasets are available on Hugging Face under the MIT license. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [A New Framework for Evaluation of Voice Agents \(EVA\)](https://daily.dev/posts/a-new-framework-for-evaluation-of-voice-agents-eva--k34p62hv2) · Hugging Face · 0 upvotes · 0 comments - [Enterprise AI benchmarks are broken](https://daily.dev/posts/enterprise-ai-benchmarks-are-broken-os7hvrdov) · The New Stack · 0 upvotes · 0 comments - [Evaluating AI agents: moving past the vibe check](https://daily.dev/posts/evaluating-ai-agents-moving-past-the-vibe-check-a4tuqyjqx) · Google Developers · 15 upvotes · 1 comments - [ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM](https://daily.dev/posts/itbench-aa-frontier-models-score-below-50-on-the-first-benchmark-for-agentic-enterprise-it-tasks--inm3wceim) · Hugging Face · 1 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#voice-ai](https://daily.dev/tags/voice-ai) [View this post on daily.dev](https://daily.dev/posts/eva-bench-data-2-0-3-domains-121-tools-213-scenarios-8h0ks6ujs) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios","url":"https://daily.dev/posts/eva-bench-data-2-0-3-domains-121-tools-213-scenarios-8h0ks6ujs","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/eva-bench-data-2-0-3-domains-121-tools-213-scenarios-8h0ks6ujs"},"datePublished":"2026-06-04T12:29:09.916Z","dateModified":"2026-10-15T02:25:01.128Z","description":"EVA-Bench 2.0 is an open-source benchmark for evaluating enterprise voice agents, expanding from one domain to three: Airline Customer Service Management,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8886f485c5a6cca8e81dc83c3210f402?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8886f485c5a6cca8e81dc83c3210f402?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Hugging Face","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Hugging Face","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/f1f55c67d81a4330acf5b90b26b0c8e1","url":"https://daily.dev/sources/huggingface"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/eva-bench-data-2-0-3-domains-121-tools-213-scenarios-8h0ks6ujs","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,llm,voice-ai","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Hugging Face","item":"https://daily.dev/sources/huggingface"},{"@type":"ListItem","position":3,"name":"EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios"}]} ```