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---
dataset_info:
features:
- name: question_id
dtype: string
- name: category
dtype: string
- name: turns
sequence: string
- name: ground_truth
dtype: string
- name: task
dtype: string
- name: livebench_release_date
dtype: timestamp[s]
splits:
- name: test
num_bytes: 305248
num_examples: 150
download_size: 149329
dataset_size: 305248
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
arxiv: 2406.19314
---
# Dataset Card for "livebench/data_analysis"
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).
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