datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
recalldb-product-recalls-sample
RecallDB — U.S. Product Recall Database (Sample)
Full dataset: recalldb.dataengineered.io · $49 one-time snapshot → Buy on Stripe · the same sample on Kaggle
127,783 official recalls · 292,790 recalled products · CPSC · FDA · FSIS · NHTSA · USCG · 100% source-linked
RecallDB is a normalized, provenance-tracked dataset of official U.S. federal product recalls. It joins five official source families into one relational model: CPSC consumer products, NHTSA vehicles, FDA/openFDA… See the full description on the dataset page: https://huggingface.co/datasets/Ichlibitiche/recalldb-product-recalls-sample.kids-product-recalls
KindlyKiddo Kids’ Product Recall Data
Machine-readable CPSC, NHTSA, and FDA recall records for products made for or primarily used by children. The dataset is normalized by KindlyKiddo and refreshed weekly from official U.S. federal sources.
Files
kids-product-recalls.csv — flat tabular dataset used by the Hugging Face viewer.
kids-product-recalls.json — records plus refresh time, coverage, source, license, and repository metadata.
data-dictionary.csv — field… See the full description on the dataset page: https://huggingface.co/datasets/kindlykiddo/kids-product-recalls.vett-cpsc-recalls
Vett CPSC Product Recall Corpus
Normalized U.S. Consumer Product Safety Commission (CPSC) product recall records,
refreshed periodically from CPSC's live recall feed.
Source: U.S. Consumer Product Safety Commission (cpsc.gov). As a work of the U.S.
federal government, the underlying data is in the public domain under 17 U.S.C. Section 105,
not subject to copyright. This normalization/compilation is provided by
Vett (Wimberly Solutions LLC).
Fields: recall_id, source… See the full description on the dataset page: https://huggingface.co/datasets/Wim-Sol/vett-cpsc-recalls.nhtsa-vehicle-recalls
NHTSA Vehicle Recalls 1966–March 2026
One-time dated snapshot.
Recall campaign and affected-product records with defect and remedy text.
Verified coverage: Recall dates: 1966-01-19 through 2026-03-26.
Records: 176,073 product rows; 29,865 distinct campaign IDs.
This repository contains a 1,000-row public sample, not the full package. A sample does not establish complete historical coverage.
Limitations
Multiple product/model rows can belong to the same campaign.… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/nhtsa-vehicle-recalls.recalls-by-barcode
ProductGuru — Consumer Product Recalls by Barcode (EAN/GTIN)
36,654 recall notices across 32,668 distinct retail barcodes, compiled from
11 government registers. One row per (barcode, authority, notice).
100% of rows link to the issuing authority's own notice.
Why this exists
Most official recall registers do not publish a barcode. Across the registers we mirror, only
29.3% of consumer-product recalls carry one — France's RappelConso publishes a barcode on
100% of… See the full description on the dataset page: https://huggingface.co/datasets/PROGU2026/recalls-by-barcode.ppb-kenya-recalls-dataset
PPB Kenya Recalls
Structured data on medicine and medical device recalls and rapid alerts issued by the Pharmacy and Poisons Board (PPB) of Kenya, covering 2016 to 2025.
Load the dataset
from datasets import load_dataset
# Recall notices (default)
recalls = load_dataset("afiadata/ppb-kenya-recalls", "recalls")
# Rapid alerts
alerts = load_dataset("afiadata/ppb-kenya-recalls", "rapid_alerts")
Or with pandas directly:
import pandas as pd
recalls =… See the full description on the dataset page: https://huggingface.co/datasets/AfiadataKe/ppb-kenya-recalls-dataset.pet-food-recall-risk
Pet Food Recall Risk Classification
A small supervised multi-label text classification dataset for categorising
pet food recall and safety-alert records into risk categories.
Built as an academic assignment for an Information Retrieval course.
All source records come from official public recall and safety-alert portals.
Task
Supervised multi-label text classification.
Given a structured text constructed from brand name, product description, and
recall reason, predict one… See the full description on the dataset page: https://huggingface.co/datasets/ShurongSR/pet-food-recall-risk.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.recall-gap-index
Recall-Gap Index
High-complaint failure patterns that have NO corresponding NHTSA recall — defects owners report in volume that regulators never forced a fix for. Every row is cross-checked against the live NHTSA recalls API, so vehicles that WERE recalled for the component (even when our local DB missed it) are excluded.
Columns
column
meaning
year
Model year
make
Manufacturer
model
Model
component
Failure category with no NHTSA recall… See the full description on the dataset page: https://huggingface.co/datasets/ProblemsByVin/recall-gap-index.recallPhantom_Recall