monthly · 30d window · Hugging Face dataset
All hugging face models & datasets editions →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
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.
View 2 exact dated values and published evidence
| Measured on | Value (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.
Appearance history
1 appearanceIf you investigated this riser, tell us what helped—or what was missing.
Share feedback →Get email updates
Join the listGet early signals on the websites, apps, repositories and startups gaining momentum. Join the list for Risefinder email briefings.
By subscribing, you ask us to store your email and send Risefinder updates. You can unsubscribe at any time. Privacy.
Want a sample first? Read past daily emails.