Topic
dataset
Creating Multilingual Mental Health Datasets: Study Reveals Limits of Persona-Based Localization via Nationality and Language
A new arxiv paper investigates whether persona-based methods can generate multilingual mental health dialogue datasets by modifying nationality and language. The study found that just adding these parameters introduces clinical inconsistencies across languages, and LLM judge models exhibit inaccuracies in assessing depression severity in non-English texts, highlighting the need for culturally responsive data generation.
SARLO-80: New Dataset Combines Very-High-Resolution SAR and Optical Imagery with Language Descriptions
Researchers have released SARLO-80, a large-scale dataset combining very-high-resolution synthetic aperture radar (SAR) imagery, aligned optical imagery, and natural-language descriptions. Built from Umbra spotlight acquisitions, the dataset contains 119,566 triplets across 72 countries, standardized to 80cm slant-range resolution. It aims to advance multimodal foundation models for SAR by providing complex-valued measurements and native acquisition geometry.
DF3DV-1K: Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Researchers introduced DF3DV-1K, a large-scale real-world dataset with 1,048 scenes and 89,924 images for distractor-free novel view synthesis. The dataset spans 128 distractor types and 161 scene themes, enabling benchmarking of nine radiance field methods and 3D Gaussian Splatting. Fine-tuning a diffusion-based 2D enhancer on DF3DV-1K achieved average improvements of 0.96 dB PSNR and 0.057 LPIPS.
IMPACTeen Dataset Provides New Resource for Detecting Manipulation in Teen Communication
Researchers have released IMPACTeen, a dataset of 1,021 textual social influence scenarios in adolescent contexts. Annotated by teenagers, parents, psychologists, communication experts, and teachers, it supports training AI models to detect manipulation, persuasion, and their consequences. The dataset, available in Polish and English, aims to advance research in social influence detection and language model safety.
FusionRS Dataset Advances Dual-Modal Vision-Language AI for Remote Sensing
Researchers introduced FusionRS, the first large-scale RGB-infrared-text dataset for dual-modal vision-language learning in remote sensing. The dataset pairs RGB and infrared images with scene and IR-aware captions, enabling models to achieve better alignment and retrieval than RGB-only approaches.
MASCOT-Android: Automated Pipeline and Curated Dataset for Android Malware Source Code Discovery
Researchers introduce MASCOT-Android, a curated dataset of Android malware source code and an automated collection framework. The key finding is that repository-level documentation alone provides a strong signal, enabling a LinearSVC classifier to achieve 96.28% accuracy with a 1.06% false positive rate. The model outputs confidence scores for threshold adjustment, making it practical for real-world malware source code collection.