datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
practice-radar-behavioral-health-npi-sample
New behavioral-health organization NPIs — weekly NPPES sample
A 15-row public sample from a weekly, reproducible selection of newly enumerated Type 2 behavioral-health organizations in the U.S. Centers for Medicare & Medicaid Services National Plan and Provider Enumeration System (NPPES).
Edition at a glance
Measured period: July 6–12, 2026
New Type 2 organizations screened: 2,722
Behavioral-health organizations selected: 486
States and territories represented:… See the full description on the dataset page: https://huggingface.co/datasets/unitedideas/practice-radar-behavioral-health-npi-sample.humanoid-robot-radarscore
Roboterradar Humanoid & Quadruped Robot Dataset
Curated editorial assessments of 21 commercially relevant humanoid robots (16) and
quadruped robots (5), with a frozen scoring methodology, evidence grades and a complete
source register.
This Hugging Face repository is a versioned distribution mirror. The canonical,
citeable publication is the Zenodo release:
Version 1.0.0 DOI: https://doi.org/10.5281/zenodo.21797689
Concept DOI for all versions:… See the full description on the dataset page: https://huggingface.co/datasets/roboterradar/humanoid-robot-radarscore.recall-radar
Cross-Border Product Recall Dataset
A structured, machine-readable dataset of consumer-facing product recalls in three high-stakes categories (cosmetic, baby_product, food) across three regions (US, EU, JP), drawn from four authoritative agencies. Designed for cross-border e-commerce sellers and AI shopping assistants.
Overview
Product recalls are scattered across CPSC's web table, FDA's RSS feed, Safety Gate's search interface, and 消費者庁's Japanese-language… See the full description on the dataset page: https://huggingface.co/datasets/Aulvem/recall-radar.radarpoliticaldatasetredditscrap11272024bias-neutrality-corpus
Bias Neutrality Corpus
This dataset is designed for identifying and neutralizing biased language in text. It combines samples from several existing datasets along with synthetic examples to provide a comprehensive resource for bias mitigation tasks.
Dataset Structure
Biased Sentence: The original text containing bias.
Bias Type: Category of bias (e.g., Ageism, Gender, Religion, Racial, Ableism).
Source Dataset: Origin of the sample (Crows Pairs, StereoSet, GBNC… See the full description on the dataset page: https://huggingface.co/datasets/radastatine/bias-neutrality-corpus.