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01alibaba-multimodal-industrial-ai /IndustryBench IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs 💻Github | 📝Paper IndustryBench is a multi-lingual benchmark for evaluating the industrial domain knowledge of large language models. It comprises 2,049 expert-curated QA pairs spanning 12 industrial sectors, with human-reviewed translations in Chinese, English, Russian, and Vietnamese. Overview Dimension Details Total questions 2,049 Languages Chinese (zh), English (en), Russian (ru)… See the full description on the dataset page: https://huggingface.co/datasets/alibaba-multimodal-industrial-ai/IndustryBench.textquestion-answering1K<n<10K30 likes302 downloads5mo agoHugging Face02multimodal-reframing /mirror MIRROR Dataset MIRROR is a synthetic vision–language dataset for multimodal cognitive reframing under client resistance. Paper: 🪞 MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistance The dataset includes: Client profile metadata (CACTUS idx, CelebA idx) Dialogue written in a screenplay format, including stage directions that describe facial expressions ⚠️ Images themselves are not included to comply with the CelebA license. However, we provide the full image… See the full description on the dataset page: https://huggingface.co/datasets/multimodal-reframing/mirror.tabulartext-generationn<1K2 likes26 downloads11mo agoHugging Face03Orib24 /Roomly-Student-Bios-Multimodal Roomly: Multimodal Roommate Matching Dataset 🎯 Problem Statement Finding a roommate is often reduced to dry filters like "budget" and "location". Roomly aims to revolutionize this by focusing on personality, lifestyle, and visual preferences. This dataset provides synthetic student profiles and their ideal room environments. 📊 Exploratory Data Analysis (EDA) 1. User Persona Distribution Our dataset contains a balanced mix of different student… See the full description on the dataset page: https://huggingface.co/datasets/Orib24/Roomly-Student-Bios-Multimodal.texttext-generationn<1K0 likes9 downloads9mo agoHugging Face

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