PingL/StraTune_dataset

StraTune benchmark data Fixed training and test splits of the four benchmarks used in the paper StraTune: Adaptive Selection of Revision Operators for Self-Evolving LLM Skills. The code is at https://github.com/seai-lab/StraTune. This repository holds the exact task payloads and split lists behind the numbers in the paper, in the layout that the code reads directly. Dataset Train Test Task Metric DocVQA 500 1,000 document question answering over page images ANLS… See the full description on the dataset page: https://huggingface.co/datasets/PingL/StraTune_dataset.

<iframe src="https://silytics.si/embed/item/3dc4225d-2eae-4f67-aef5-243203811b78" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.