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anx

An-Xiao /CHOICE CHOICE: Benchmarking The Remote Sensing Capabilities of Large Vision-Language Models Abstract: The rapid advancement of Large Vision-Language Models (VLMs), both general-domain models and those specifically tailored for remote sensing, has demonstrated exceptional perception and reasoning capabilities in Earth observation tasks. However, a benchmark for systematically evaluating their capabilities in this domain is still lacking. To bridge this gap, we propose CHOICE, an extensive… See the full description on the dataset page: https://huggingface.co/datasets/An-Xiao/CHOICE.imagequestion-answering1K<n<10K0 likes730 downloads2y agoHugging FaceAn-Xiao /MIG-RS-Bench Beyond Single and Earthbound: Advancing Multi-image Grounding in Remote Sensing with Large Vision-Language Models image10K<n<100K0 likes669 downloads1y agoHugging Facetunahanf /pgc-anxiety PGC Anxiety Disorder — GWAS Summary Statistics Dataset Description Genome-wide association study (GWAS) summary statistics for Anxiety Disorder phenotypes from the Psychiatric Genomics Consortium (PGC). Each publication is available as a separate subset (config) and can be loaded independently. Usage from datasets import load_dataset # Load a specific GWAS ds = load_dataset("OpenMed/pgc-anxiety", "anx2016") print(ds) List all… See the full description on the dataset page: https://huggingface.co/datasets/tunahanf/pgc-anxiety.tabulartabular-regression10M<n<100M0 likes308 downloads5mo agoHugging Faceintrovoyz041 /pgc-anxiety PGC Anxiety Disorder — GWAS Summary Statistics Dataset Description Genome-wide association study (GWAS) summary statistics for Anxiety Disorder phenotypes from the Psychiatric Genomics Consortium (PGC). Each publication is available as a separate subset (config) and can be loaded independently. Usage from datasets import load_dataset # Load a specific GWAS ds = load_dataset("OpenMed/pgc-anxiety", "anx2016") print(ds) List all available subsets… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz041/pgc-anxiety.tabulartabular-regression10M<n<100M1 likes255 downloads6mo agoHugging FaceAnxForever /chinese-ai-detection-dataset Chinese AI Detection Dataset 中文AI文本检测数据集 数据集简介 用于训练中文AI生成文本检测模型的综合数据集,包含纯人类、纯AI以及混合文本(人类+AI)。 核心特色:使用[SEP]标记显式标注混合文本的人类/AI边界。 数据统计 类型 样本数 说明 总计 66,001 训练/验证/测试集 纯人类 27,719 多领域人类文本 纯AI 27,719 多模型生成 C2 (续写) 3,781 人类开头+AI续写 C3 (改写) 3,781 AI改写人类文本 C4 (润色) 3,001 AI润色人类文本 数据格式 { "text": "文本内容(混合文本包含[SEP]标记)", "label": 0, // 0=Human, 1=AI "category": "C2", // Human/AI/C2/C3/C4 "source": "数据来源" }… See the full description on the dataset page: https://huggingface.co/datasets/AnxForever/chinese-ai-detection-dataset.tabular10K<n<100K1 likes149 downloads4d agoHugging FaceAnxion /LeCaRDv2 LeCaRDv2 An MTEB dataset Massive Text Embedding Benchmark The task involves identifying and retrieving the case document that best matches or is most relevant to the scenario described in each of the provided queries. Task category t2t Domains Legal, Written Reference https://github.com/THUIR/LeCaRDv2 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/Anxion/LeCaRDv2.texttext-retrieval1K<n<10K0 likes51 downloads6d agoHugging Face