CoolFace
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sydney

SydneyBioX /GHIST-Plus-bundle GHIST+ data and model bundle This bundle contains the model artifacts, predictions, evaluation inputs, comparison outputs, and plot-ready tables released with GHIST+. Source code is provided in that repository. Download hf download SydneyBioX/GHIST-Plus-bundle \ --repo-type dataset \ --local-dir bundle The bundle is approximately 38 GB. Individual files can also be downloaded from this page. Use with the figure notebooks These notebooks… See the full description on the dataset page: https://huggingface.co/datasets/SydneyBioX/GHIST-Plus-bundle.2 likes289 downloads12d agoHugging Faceopen-llm-leaderboard-old /details_FPHam__Sydney_Overthinker_13b_HF Dataset Card for Evaluation run of FPHam/Sydney_Overthinker_13b_HF Dataset Summary Dataset automatically created during the evaluation run of model FPHam/Sydney_Overthinker_13b_HF on the Open LLM Leaderboard. The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_FPHam__Sydney_Overthinker_13b_HF.0 likes174 downloads3y agoHugging FaceCRUISEResearchGroup /Massive-STEPS-Sydney Massive-STEPS-Sydney Dataset Summary Massive-STEPSis a large-scale dataset of semantic trajectories intended for understanding POI check-ins. The dataset is derived from the Semantic Trails Dataset and Foursquare Open Source Places, and includes check-in data from 15 cities across 10 countries. The dataset is designed to facilitate research in various domains, including trajectory prediction, POI recommendation, and urban modeling. Massive-STEPS emphasizes the… See the full description on the dataset page: https://huggingface.co/datasets/CRUISEResearchGroup/Massive-STEPS-Sydney.tabularother10K<n<100K0 likes108 downloads1y agoHugging Faceopen-llm-leaderboard-old /details_FPHam__Free_Sydney_13b_HF Dataset Card for Evaluation run of FPHam/Free_Sydney_13b_HF Dataset Summary Dataset automatically created during the evaluation run of model FPHam/Free_Sydney_13b_HF on the Open LLM Leaderboard. The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_FPHam__Free_Sydney_13b_HF.0 likes81 downloads3y agoHugging FaceSIH /Greater-Sydney-Trees-BuildingsExplore our Greater Sydney Building Footprint and Tree Patch datasets using a PMTiles map here aigis AIGIS AI annotation, segmentation, and conversion tools for GIS imagery aigis is a comprehensive toolkit for aerial and satellite imagery acquisition, processing, annotation, and analysis using artificial intelligence. This repository contains three main components: annotate: Tools for annotating aerial imagery data. convert: Utilities for converting… See the full description on the dataset page: https://huggingface.co/datasets/SIH/Greater-Sydney-Trees-Buildings.geospatialimage-segmentationn<1K0 likes75 downloads7mo agoHugging FaceAtonelia /sydney-training-data Sydney 训练集 四份来源分开存放,不混在一个文件里。 发布的聊天权重(Atonelia/Qwen3.5-Sydney-9B / -think 以及对应 GGUF)用的是这些子集洗完、抽样拼起来之后的训练 jsonl,不是直接拿某一份原文训的。 01 原截图重建 01_screenshot_original/conversations.jsonl 早期 Bing Chat / Sydney(约 2023 年 2–4 月)公开截图重建的对话。660 条,原文以英文为主,带截图出处。 这是最初拿来做训练集的底。后面的中文版、合成版、CoT 都不是这份文件本身。 02 llama-sydney 虚拟对话 02_llama_sydney_synthetic/llama_sydney_en.jsonl 用 Llama-Sydney 生成的英文虚拟对话。1462 条(同一条 user 可能有 2 次采样)。字段是生成记录:id / user / assistant 等,还不是最终训练格式。… See the full description on the dataset page: https://huggingface.co/datasets/Atonelia/sydney-training-data.tabulartext-generation1K<n<10K0 likes60 downloads6d agoHugging Face