indic-hle

Humanity's Last Exam (HLE), from the Center for AI Safety and Scale AI, is a benchmark at the frontier of human knowledge: 2,500 multiple-choice and short-answer questions written by subject-matter experts across dozens of subjects, including mathematics, the humanities and the natural sciences, and built for automated grading. This dataset translates the 2,158 text-only questions; those that need an image are left out.

indic-hle is Humanity's Last Exam (text-only questions) translated into 14 Indian languages by an LLM translation pipeline with automatic quality checks, with a portion of the translations reviewed and corrected by human annotators. It is part of the Indic-LLM-Eval-Suite.

Upstream source: cais/hle

Languages

Assamese (as), Bengali (bn), Gujarati (gu), Hindi (hi), Kannada (kn), Malayalam (ml), Marathi (mr), Nepali (ne), Odia (or), Punjabi (pa), Sanskrit (sa), Tamil (ta), Telugu (te), Urdu (ur)

Layout

One row per original benchmark item, with every language on that same row. The original columns are carried through unchanged; each translated field gains one column per language:

question -> question_Hindi_translation, question_Bengali_translation, ...

rows	2158
languages	14
translated fields	question
columns	23

More details

For how the translations were made and verified, and for model results on the suite, see the report and the blog:

• Report: coming soon
• Blog: Introducing Indic-LLM-Eval-Suite

Citation

If you use this dataset, please cite:

@misc{indicllmevalsuite2026blog,
  title        = {Introducing Indic-LLM-Eval-Suite: Better Indic Models Need Better Benchmarks},
  author       = {Kunchukuttan, Anoop and Kamath, Anusha and Khapra, Mitesh M. and
                  Khan, Mohammed Safi Ur Rahman and Agarwal, Niket and Thethy, Rajpreet and
                  Akkati, Ramani and Joshi, Raviraj and Murthy, Rudra and
                  Jayakumar, Thanmay and Vaidya, Utkarsh},
  year         = {2026},
  month        = oct,
  howpublished = {\url{https://ai4bharat.github.io/indic-llm-eval-suite-blog/}},
  note         = {AI4Bharat, IIT Madras and NVIDIA}
}