mistrjirka/Predicting-Experts-for-MOE-Suite
Predicting Experts for MoE: A Coverage-First Routing Benchmark Goal: predict the complete set of experts that a future Mixture-of-Experts layer will activate, using only information that is causally available before that layer executes. This dataset turns expert prefetch prediction into a standalone machine-learning problem. It contains 98,292 routed generated tokens and 7,371,900 ordered expert-route labels from 12 synthetic, realistic coding tasks evaluated with… See the full description on the dataset page: https://huggingface.co/datasets/mistrjirka/Predicting-Experts-for-MOE-Suite.
| Author / organization | mistrjirka |
|---|---|
| License (as declared) | mit |
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 August 2026 |
| Last updated at source | 7 August 2026 |
Popularity, last 4 days
214 now (-9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.