MT-Bench — LLM Evaluation & Benchmarks Dataset

Multi-turn benchmark with 80 challenging questions across 8 domains (writing, reasoning, math, coding, STEM, humanities, roleplay, extraction). Uses GPT-4-as-judge to score responses, enabling automated preference evaluation. Powers the Chatbot Arena leaderboard methodology.

Dataset Details

Providerlmsys
CategoryEvaluation & Benchmarks
Size80 Questions
LicenseApache 2.0
Downloads900k
TagsBenchmark, Multi-Turn, LLM-Judge, GPT-4, Chatbot-Arena
 
from datasets import load_dataset
ds = load_dataset("lmsys/mt_bench_human_judgments")

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Frequently asked questions

Can I use MT-Bench commercially?
Yes — MT-Bench is released under Apache 2.0, a permissive license that allows commercial use, including training models you ship in a product. Check the dataset card for attribution requirements before release.
How much data does MT-Bench contain, and do I need all of it?
MT-Bench contains 80 Questions. It is an evaluation benchmark, so it is used in full to measure models — never mix it into training data, or your benchmark scores become meaningless.
What is MT-Bench best used for?
Judging multi-turn chat quality with LLM-as-judge. It belongs to the Evaluation & Benchmarks section of our dataset hub, where you'll find alternatives and complementary sets.

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