datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
netryx-new-york-city-13km
Nyc-Core-Usethis 13km
Pre-computed MegaLoc index for Netryx Drishti geolocation.
Coverage
Center: 40.713200, -74.002500
Radius: 13.0 km
Panoramas: 663,084
Index entries: 2,652,336
Descriptor model: MegaLoc
Descriptor dim: 1024 (PCA from 8448)
Usage
from netryx_hub import NetryxHub
hub = NetryxHub()
hub.download("nyc-core-usethis-13km", output_dir="./netryx_data/index")
# Now open Netryx and search!
Or download manually and use Import Index in… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-new-york-city-13km.floorplans-cityscapes
Dataset Summary
This is a curated collection of floorplan images sourced from across the internet. It is intended for research in architectural AI, layout generation, and urban scene understanding.
Data format: Image files with associated integer labels.
Sources: Publicly available images from various web sources (This dataset is one unified collections).
Purpose: Educational and research use.
Dataset Structure
The dataset follows the standard Hugging Face Image… See the full description on the dataset page: https://huggingface.co/datasets/wheres-my-python/floorplans-cityscapes.CityCube-Benchcity-directory-synthgoogle_map_huggingface_fetch_8657_0ad41549_city_tournanochat-german-city-populations
🇩🇪 nanochat German: City Populations
This repository hosts a dataset of the largest 706 cities in Germany (with their populations in 1970, 1980, 2000, 2010, 2020 and 2024, including state name).
The data was retrieved from this Wikipedia article.
cityUnlTrainiran_city_population_statistics_2022
⚠️ نسخهٔ جایگزین
این مجموعهداده با روششناسیِ فعلیِ فرمانا بهروز نمیشود.
→ Farmaanaa/iran_population_by_province_county
فایلهای قبلی برای آرشیو در دسترس میمانند.
— farmaanaa.ir
citycityLoraQ_184151citymove-citiescityUnlValcity100Citywalk_planningDQual_048b4aDQual_db6224CityGeoEval-reasonQwenL_EvalLoSet_EvalDQual_090058DSNet_191916LoSet_6309LoSet_76dabfLoraQ_LossHFDQ_20250922LOFF_20250922HFDQ_8439e4EvalD_175048LOFF_20250925QwenL_2794