TIGER-Lab/MMLU-Pro

TIGER-Lab/MMLU-Pro is a benchmark dataset for evaluating large language models. It is a massive multi-task understanding dataset designed to test model capabilities more rigorously. It contains 12K complex questions spanning various disciplines, which models answer so their performance can be measured.

Appearances
1
Categories
1
First seen
1 November 2026
Latest
1 November 2026
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Recorded measurements

Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.

Hugging Face dataset · downloads

Hugging Face models & datasets · 2 dated measurements

Rolling download counts, not lifetime totals or downloads gained between these dates.

Latest value shown: 300,900 downloads ·

Higher values appear higher on the chart. The scale covers the recorded values.

Hugging Face dataset: downloads recorded measurements2 dated points, 2 Oct 2026 to 27 Oct 2026. Values range from 217,470 to 300,900 downloads. Higher values appear higher. Open the exact values and published evidence below for the data table. Dots are not connected; missing dates are not zero.2 Oct 2026: 217,470 downloads27 Oct 2026: 300,900 downloads
View 2 exact dated values and published evidence
Exact values and their published evidence
Measured onValue (downloads)Published in
217,470
300,900

“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.

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Appearance history

1 appearance
This page records every appearance of the same entity in the reviewed RiseFinder exports. Rankings keep the original category, period and measurement direction.

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