Team Ai
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scope

Cooolder /SCOPE-OOD-set SCOPE-60K-OOD: Out-of-Distribution LLM Routing Dataset Dataset Description SCOPE-60K-OOD is an out-of-distribution (OOD) evaluation dataset for LLM routing systems. It contains evaluation results from 5 frontier language models that were not seen during training, designed to test the generalization capabilities of routing methods. Authors Qi Cao - UC San Diego, PXie Lab Shuhao Zhang - UC San Diego, PXie Lab Affiliation University of California, San… See the full description on the dataset page: https://huggingface.co/datasets/Cooolder/SCOPE-OOD-set.tabulartext-classification1K<n<10K0 likes2k downloads8mo agoHugging FaceMichaelqaz /SCoPE-Gallery SCoPE Project Gallery This dataset contains the 182 generated result videos used by the project page for SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers. Each clip is generated from a single input frame and a target camera trajectory. The picture-in-picture overlay visualizes the commanded camera motion. Links Project page Paper Code Model Structure The MP4 files remain individually addressable so the project page… See the full description on the dataset page: https://huggingface.co/datasets/Michaelqaz/SCoPE-Gallery.textimage-to-videon<1K0 likes725 downloads2mo agoHugging Facedreadnode /scopebench-pilot ScopeBench pilot trajectories This dataset contains the 2,160 ATIF trajectories produced for ScopeBench: Do Agents Preserve Engagement Boundaries Under Goal Pressure? at AISec 2026. The corresponding frozen tasks, evaluation runner, and verifiers are available in the dreadnode/scopebench-pilot GitHub repository. Dataset structure The pilot crosses 30 tasks, three instruction conditions, eight acting-model families, and three repetitions. Each JSONL file contains… See the full description on the dataset page: https://huggingface.co/datasets/dreadnode/scopebench-pilot.1K<n<10K1 likes647 downloads26d agoHugging Facemldljyh /SCoPE SCoPE Dataset Dataset · Code · Paper SCoPE contains 189 images and 756 image–category questions for evaluating controllable image captioning. Each image is paired with four semantic focuses: Attribute, Relation, Foreground, and Background. Download From the cloned GitHub repository, install the dependencies and download the benchmark: hf download mldljyh/SCoPE \ --repo-type dataset \ --local-dir . \ --include "benchmark_images_final/*" \ --include… See the full description on the dataset page: https://huggingface.co/datasets/mldljyh/SCoPE.imageimage-to-textn<1K0 likes494 downloads12d agoHugging Faceintrovoyz043 /ScopeBOtext0 likes470 downloads4d agoHugging Faceglacierscopessegmentation /scopes_test Dataset Card for "scopes_test" More Information needed imageimage-segmentation10K<n<100K0 likes243 downloads2y agoHugging Face