---
title: livebench_language
canonical_url: "https://www.modelscope.cn/datasets/AI-ModelScope/livebench_language"
md_url: "https://www.modelscope.cn/datasets/AI-ModelScope/livebench_language.md"
repository: AI-ModelScope/livebench_language
chinese_name: livebench_language
last_updated: 2025-04-08
license: "Apache License 2.0"
storage_size: "558 KB"
downloads: 1015
stars: 0
---

# livebench_language

> livebench_language - AI-ModelScope 在 ModelScope 开源的数据集。Dataset Card for "livebench/language" LiveBench is a benchmark for LLMs designed with test set contamination and objective evaluation in mind. It has the following properties: LiveBench is designed to…

AI-ModelScope/livebench_language 是 ModelScope 魔搭社区上的数据集，存储大小 558 KB，采用 Apache License 2.0 许可。

- **Repository**: AI-ModelScope/livebench_language
- **License**: Apache License 2.0
- **Storage size**: 558 KB
- **Downloads**: 1015
- **Stars**: 0
- **Last updated**: 2025-04-08

Source: https://www.modelscope.cn/datasets/AI-ModelScope/livebench_language

---

# Dataset Card for "livebench/language"
LiveBench is a benchmark for LLMs designed with test set contamination and objective evaluation in mind. It has the following properties:
- LiveBench is designed to limit potential contamination by releasing new questions monthly, as well as having questions based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses.
- Each question has verifiable, objective ground-truth answers, allowing hard questions to be scored accurately and automatically, without the use of an LLM judge.
- LiveBench currently contains a set of 18 diverse tasks across 6 categories, and we will release new, harder tasks over time.
This is the instruction_following category of livebench.

See more in our [paper](https://arxiv.org/abs/2406.19314), [leaderboard](https://livebench.ai/), and [datasheet](https://github.com/LiveBench/LiveBench/blob/main/docs/DATASHEET.md).