Humanity's Last Exam (HLE)
Humanity's Last Exam (HLE) is an evaluation tool maintained by Center for AI Safety1239 and Scale AI19, version HLE (2,500 questions, finalized April 2025); HLE-Rolling; HLE-Diamond (September 2026), released Jan 2025. Its code is public23 under the MIT License (evaluation code)3.
A multimodal benchmark of 2,500 expert-written, closed-ended academic questions across more than a hundred subjects, including mathematics, the humanities, and the natural sciences, in multiple-choice and short-answer formats suited to automated grading. It was organized by teams at the Center for AI Safety and Scale AI with questions from nearly 1,000 subject-matter contributors, and was published in Nature in January 2026.12
- Website: Website (external site: lastexam.ai)
- Repository: GitHub repository (external site: github.com)
- Dataset hub: Dataset (Hugging Face, cais/hle) (external site: huggingface.co)
- Paper: Paper (arXiv 2501.14249) (external site: arxiv.org)
- Paper: Nature paper (external site: nature.com)
- Release notes: HLE-Diamond release notes (external site: lastexam.ai)
On AI on Hugging Face: cais/hle, cais/hle-diamond
Availability and license
Overall availability
The public question set is on Hugging Face behind an automatic access gate that asks users to share contact information; the evaluation code is public on GitHub. A private held-out question set is not released.4521
Availability is separate from permission: read the license before using or redistributing.
MIT License (dataset) (external site: huggingface.co)45
Plain-language guide to the MIT LicenseMIT License (evaluation code) (external site: raw.githubusercontent.com)3
Plain-language guide to the MIT License
The dataset and repository include a canary string intended to help model developers keep the benchmark out of training data. The separate cais/hle-diamond dataset's metadata also lists the MIT license and uses the same automatic access gate.246
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| CodeIs the evaluation code published? | Public | The hle_eval scripts generate model predictions through the openai-python interface and grade them with a judge model; MIT license.23 |
| Tasks / dataAre the tasks or test data available? | Partial | The 2,500 public questions are downloadable after accepting the Hugging Face access prompt; a private held-out set is kept back to assess overfitting.451 |
| MethodologyIs the method for scoring described? | Public | The paper (arXiv, with a Nature version) describes the benchmark, whose questions each have a known, unambiguous, verifiable answer that cannot be quickly found by internet search. The website explains that calibration error is measured by asking models for an answer and a 0-100% confidence, with answers graded by a judge model.81 |
| ReproducibilityAre instructions for reproducing results published? | Public | The README gives commands for running predictions and the judge, notes temperature 0 as the default, and advises at least 8,192 completion tokens for reasoning models.2 |
| LimitationsAre known limitations documented? | Public | The website states that HLE tests structured academic problems rather than open-ended research or creative problem solving, and that high accuracy alone would not indicate autonomous research ability. Changes to the question set (removals, re-additions, updates, and additions) are listed in the public HLE-Rolling change log, and HLE-Diamond is described as a subset refined over a year of cleaning.1109 |
What it is useful for
Run and use notes
Organization context
In the news
CAIS and Scale AI release HLE-Diamond, a refined 1,000-question subset of Humanity's Last Exam
On September 22, 2026, the Center for AI Safety and Scale AI released HLE-Diamond, which the release notes describe as a refined subset of the Humanity's Last Exam (HLE) question collection, produced through a year-long process of cleaning and refinement with input from research communities. HLE-Diamond has 1,000 questions, split evenly into 500 reasoning and 500 knowledge questions, and is designed to be answered closed-book, with separate recommended settings for evaluations that use tools. The dataset is on Hugging Face as cais/hle-diamond, where the card lists an MIT license, requires agreeing to share contact information before access, and asks that the dataset not be publicly shared or re-uploaded.
U.S. eligibility
Eligible · basis: U.S.-governed project
The benchmark's organizing team is drawn from the Center for AI Safety and Scale AI; its GitHub repository is in the centerforaisafety organization under an MIT license held by centerforaisafety, and its dataset is published under CAIS's Hugging Face organization. The Center for AI Safety is a San Francisco 501(c)(3) nonprofit listed by the IRS. Scale AI is covered by its own catalog record.12371112
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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USASI. (2026, September 29). Humanity's Last Exam (HLE). United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/humanitys-last-exam/
BibTeX
@misc{usasi_humanitys_last_exam,
author = {{USASI}},
title = {Humanity's Last Exam (HLE)},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/humanitys-last-exam/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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