datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FriendlyHousewifeDadosmedquad-patient-friendly-rewrites
MedQuAD Patient-Friendly Rewrites
This dataset contains source-grounded, patient-friendly medical rewriting
examples derived from
lavita/MedQuAD.
It was prepared for the model:
AiLLMBS/phi35-medquad-patient-explainer-lora
Dataset Structure
Files:
medquad_train.jsonl: 895 examples
medquad_eval.jsonl: 99 examples
Total retained examples: 994
Each row contains:
{
"messages": [
{"role": "system", "content": "..."},
{"role": "user", "content": "..."}… See the full description on the dataset page: https://huggingface.co/datasets/AiLLMBS/medquad-patient-friendly-rewrites.places-census-tract-data-gis-friendly-format-2024
PLACES: Census Tract Data (GIS Friendly Format), 2024 release
Description
This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/places-census-tract-data-gis-friendly-format-2024.korean_chat_friendly
Korean Chat Friendly Dataset
Dataset Summary
The Korean Chat Friendly dataset is a curated combination of two publicly available datasets:
Korean Safe Conversation
Mental Health Counseling Conversations
This dataset was created by translating and summarizing the original conversations and then modifying the tone to resemble friendly conversations between friends. It is ideal for applications related to conversational AI, natural language understanding, and empathetic… See the full description on the dataset page: https://huggingface.co/datasets/JaeJiMin/korean_chat_friendly.Simple-FriendlyMath
Simple-FriendlyMath
Simple-FriendlyMath is a lightweight dataset focused on basic math with a friendly, conversational style.It's designed to help small and medium models learn not just to calculate — but also to explain answers in a natural, helpful way.
Built as a natural follow-up to SimpleMath, this dataset keeps things easy while adding warmth, chat phrasing, and simple explanations.
What's Inside
10,000 examples of addition, subtraction, multiplication, and… See the full description on the dataset page: https://huggingface.co/datasets/ProCreations/Simple-FriendlyMath.diabetic-friendly-recipes
Durban University of Technology - Diabetic Friendly Recipes
Description
This dataset features a collection of recipes that prioritise the use of low and medium glycemic index (GI) ingredients to create flavourful and nutritious dishes aimed at reducing the risk of type-2 diabetes.
In a collaborative effort between the Food and Nutrition academics and students at the Durban University of Technology, along with a Senior Developer, a database of thoroughly tested… See the full description on the dataset page: https://huggingface.co/datasets/Ashikan/diabetic-friendly-recipes.friendly-extent-07b08c
friendly-extent-07b08c
Synthetic sensors test data: 32 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/zenithridge/friendly-extent-07b08c.places-zcta-data-gis-friendly-format-2023-release
PLACES: ZCTA Data (GIS Friendly Format), 2023 release
Description
This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/places-zcta-data-gis-friendly-format-2023-release.synthetic-friendly-characters
Dataset Card for "synthetic-friendly-characters"
More Information needed
Eco_friendly_pest_solutionsplaces-zcta-data-gis-friendly-format-2024-release
PLACES: ZCTA Data (GIS Friendly Format), 2024 release
Description
This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/places-zcta-data-gis-friendly-format-2024-release.verified-ai-friendly-web-index
Verified AI-Friendly Web Index (2026)
This dataset contains a compiled, structured directory of online business platforms, SaaS websites, and portals that have been scanned and verified as AI-friendly (allowing crawler access, providing semantic Schema.org annotations, or optimized with AEO tags).
Data Schema
domain: Verified domain name.
name: Business or website name.
niche: Market vertical or category.
status: Current verification status.
detected_at:… See the full description on the dataset page: https://huggingface.co/datasets/pixeloffice/verified-ai-friendly-web-index.places-county-data-gis-friendly-format-2024-releas
PLACES: County Data (GIS Friendly Format), 2024 release
Description
This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC)… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/places-county-data-gis-friendly-format-2024-releas.places-zcta-data-gis-friendly-format-2022-release
PLACES: ZCTA Data (GIS Friendly Format), 2022 release
Description
This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/places-zcta-data-gis-friendly-format-2022-release.prompt-friendly-repos-mini500-cities-census-tract-level-data-gis-friendly-fo
500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release
Description
2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/500-cities-census-tract-level-data-gis-friendly-fo.500-cities-city-level-data-gis-friendly-format-201
500 Cities: City-level Data (GIS Friendly Format), 2016 release
Description
2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/500-cities-city-level-data-gis-friendly-format-201.places-zcta-data-gis-friendly-format-2021-release
PLACES: ZCTA Data (GIS Friendly Format), 2021 release
Description
This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/places-zcta-data-gis-friendly-format-2021-release.friendly-rb-2025-fine-tune