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01tdemin16 /ProactiveBench ProactiveBench (ECCV 26) Thomas De Min, Subhankar Roy, Stéphane Lathuilière, Elisa Ricci, and Massimiliano Mancini Abstract. Effective collaboration begins with knowing when to ask for help. For example, when trying to identify an occluded object, a human would ask someone to remove the obstruction. Can MLLMs exhibit a similar “proactive” behavior by requesting simple user interventions? To investigate this, we introduce ProactiveBench, a benchmark built from seven repurposed… See the full description on the dataset page: https://huggingface.co/datasets/tdemin16/ProactiveBench.image10K<n<100K0 likes654 downloads3mo agoHugging Face02EurekaTian /ROMA_proactive ROMA Proactive Streaming Dataset Figure: Overview of ROMA's Streaming Dataset. This repository contains the Proactive subset (Green and Purple sections). Dataset Summary This repository contains the Proactive Interaction subset of the dataset introduced in the paper ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding. This dataset is designed to train multimodal models for streaming video understanding, specifically focusing on tasks… See the full description on the dataset page: https://huggingface.co/datasets/EurekaTian/ROMA_proactive.textvisual-question-answering100K<n<1M1 likes519 downloads8mo agoHugging Face03Proactive-LMM /traintext100K<n<1M0 likes232 downloads2y agoHugging Face04ChengyiX /proactive-execution-context-review-cases Proactive Execution Context Review Cases An original, synthetic teaching dataset for reviewing whether an AI system should prepare a next step, refresh its Context, or return a decision to a person. What this is Each record describes a fictional work scenario with an available Session summary, a candidate next step, and an expected review boundary. The material is intentionally small and illustrative; it is not a benchmark, model evaluation, product telemetry… See the full description on the dataset page: https://huggingface.co/datasets/ChengyiX/proactive-execution-context-review-cases.texttext-classificationn<1K0 likes59 downloads28d agoHugging Face05LCZZZZ /proactive-video-eval-suite Proactive Video Evaluation Suite This public repository contains four proactive/streaming-video evaluation collections with their original task annotations and packaged source videos. license: other is intentional: public accessibility does not replace the source-specific terms, and the annotations and upstream videos do not share one blanket license. Contents Directory Rows found in the supplied source Description data/table2_timing_400/ 400 Frozen… See the full description on the dataset page: https://huggingface.co/datasets/LCZZZZ/proactive-video-eval-suite.textvisual-question-answeringn<1K0 likes42 downloads1mo agoHugging Face06KeithXi /Qwen3.5_Proactive_SFTgatedimage10K<n<100K0 likes25 downloads3d agoHugging Face07erbacher /personalized-proactive-conversations Dataset Card for "personalized-proactive-conversations" More Information needed tabular10K<n<100K2 likes22 downloads3y agoHugging Face08hiimbach /proactive-ai-2000-splittext1K<n<10K0 likes20 downloads10mo agoHugging Face09erbacher /proactive_image_generation Dataset Card for "proactive_image_generation" More Information needed tabular1K<n<10K0 likes18 downloads3y agoHugging Face10Proactive-Interactive-R1 /DeepSeek-R1-Distill-Data-5ktabularquestion-answering1K<n<10K0 likes17 downloads8mo agoHugging Face11hungphongtrn /proactive-ai-2000text1K<n<10K0 likes12 downloads1y agoHugging Face12Proactive-Interactive-R1 /Reasoning-While-Asking-SFT-Datasettextquestion-answering1K<n<10K0 likes10 downloads8mo agoHugging Face13VietMedTeam /proactive-ai-dataset-2000 Dataset Card for "proactive-ai-dataset-2000" More Information needed text1K<n<10K0 likes10 downloads8mo agoHugging Face14submission19025 /ProactiveBenchgatedThis is the benchmark associated with submission 19025 at ICLR 2026. The benchmark is intended to be used with the proposed submission environments (see the source code). The .jsonl files do not contain proper image paths but rather image path templates, as each .jsonl entry is a sample, and each sample corresponds to a different environment with its own images. See the submitted code README for information about dataset downloading and preprocessing, and to re-run the evaluations. tabularquestion-answering10K<n<100K0 likes7 downloads1y agoHugging Face

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