livebench/model_judgment

Dataset

Dataset Card for "livebench/model_judgment"

2

13 commits

1 linked in READMEs

updated Apr 7, 2025

See the code

README

Dataset Card for "livebench/model_judgment"

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 dataset contains all model judgments (scores) currently used to create the leaderboard. Our github readme contains instructions for downloading the model judgments (specifically see the section for download_leaderboard.py).

For more information, see our paper.

Contributors

livebench/model_judgment

Dataset

Dataset Card for "livebench/model_judgment"

2

13 commits

1 linked in READMEs

updated Apr 7, 2025

See the code

README

Dataset Card for "livebench/model_judgment"

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 dataset contains all model judgments (scores) currently used to create the leaderboard. Our github readme contains instructions for downloading the model judgments (specifically see the section for download_leaderboard.py).

For more information, see our paper.

Contributors