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source_id
int64
1
521
source_agency
stringclasses
5 values
endpoint_url
stringlengths
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123
retrieved_at
stringdate
2026-07-13 16:28:56
2026-07-13 17:45:04
raw_payload_bytes
int64
28.4k
308M
raw_payload_sha256
stringlengths
64
64
1
FSIS
https://www.fsis.usda.gov/fsis/api/recall/v/1
2026-07-13 16:28:56
11,570,810
0f20099894997943ee13a006220b3dd952aec4955f0781a288e7644fd35b1941
319
CPSC
https://www.saferproducts.gov/RestWebServices/Recall?format=json&RecallDateStart=2026-06-01&RecallDateEnd=2026-06-30
2026-07-13 16:36:31
135,628
b13d4af80ea156d65213a5bf0844d88802828344f5d6dae9479cef7657f0498b
320
CPSC
https://www.saferproducts.gov/RestWebServices/Recall?format=json&RecallDateStart=2026-07-01&RecallDateEnd=2026-07-13
2026-07-13 16:36:33
61,089
bc4fc42fe952c4c179a85c8bd3e7829f3b459facbdc0fd2b9e768524b90183d3
321
NHTSA
https://static.nhtsa.gov/odi/ffdd/rcl/FLAT_RCL_POST_2010.zip
2026-07-13 16:36:37
307,655,881
256357c6e9ef2622a46250768721223af32ce006b5f63adc55f6955f3616a0fa
363
FDA
https://api.fda.gov/food/enforcement.json?limit=1000&skip=0&search=recall_initiation_date%3A%5B20260101+TO+20260713%5D
2026-07-13 16:47:06
738,056
776c305c08159102470d9e2e4f710d50b93f0611b6ec1d8cdef07510f7bc02da
393
FDA
https://api.fda.gov/drug/enforcement.json?limit=1000&skip=0&search=recall_initiation_date%3A%5B20260101+TO+20260713%5D
2026-07-13 16:51:10
540,910
48c980758f8b2397b4ab572a683613de7bff12cbc099c3ced938c4de70490bc5
448
FDA
https://api.fda.gov/device/enforcement.json?limit=1000&skip=1000&search=recall_initiation_date%3A%5B20260101+TO+20260713%5D
2026-07-13 17:01:20
3,014,173
b203cf38d784ed8ce3d1850efb8d42da5e5c0ec5cf3d7fb545d371709984b571
450
USCG
https://www.uscgboating.org/content/recalls.php?pageNum_allRecalls=0
2026-07-13 17:42:55
32,061
73c5d157efc81d7efece5168b5b44df97cca3ab995675d9db248bcdef16dfda7
519
USCG
https://www.uscgboating.org/content/recalls.php?pageNum_allRecalls=69
2026-07-13 17:44:50
32,066
2dca870d1ee7d6f5b27fdbda9581007ef5bd6dd3ee70c1bf8156302a53af1b58
520
USCG
https://www.uscgboating.org/content/recalls.php?pageNum_allRecalls=70
2026-07-13 17:44:51
28,385
57dfa470bf0f3be248bc188f8eb42aaf8ed22b4cc57cbfe873989988bb93af4d
521
FDA
https://www.fda.gov/safety/recalls-market-withdrawals-safety-alerts/datatables-data?_format=xlsx
2026-07-13 17:45:04
300,239
278bffe0729a3ddb212ca135c0e91cce632ea8833c4da6e26b7682d6b5bdb8bf

RecallDB

RecallDB — U.S. Product Recall Database (Sample)

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 plus FDA Safety Alerts enrichment, USDA FSIS food safety recalls, and USCG recreational boating recalls.

Full dataset & documentation: https://recalldb-public.pages.dev/

Public sample vs paid full dataset

This Hugging Face dataset is the free public sample. The full CSV + SQLite export is not published here.

Table Full dataset Public sample
Recalls 127,783 200
Recalled products 292,790 428
Source pulls 521 11
Firms 20,886 147
Hazard taxonomy 11 11

Files / configs

Each table is exposed as a separate config for the Datasets viewer:

  • recalls — balanced sample of recalls from all five agencies
  • recalled_products — linked products, vehicles, lots and categories
  • data_sources — endpoint URLs, retrieval timestamps and raw payload hashes
  • firms — canonical firm names observed in the sample
  • hazards — hazard taxonomy with recall counts

Quick start

from datasets import load_dataset

recalls = load_dataset("Ichlibitiche/recalldb-product-recalls-sample", "recalls", split="train")
print(recalls.to_pandas().groupby("source_agency").size())

Or with pandas directly:

import pandas as pd

recalls = pd.read_csv("hf://datasets/Ichlibitiche/recalldb-product-recalls-sample/recalls.csv")

Provenance

Every recall carries source_agency, external_id, source_url, and source_id. source_id joins into data_sources, which exposes endpoint_url, retrieved_at, raw_payload_bytes, and raw_payload_sha256. The paid SQLite release also stores the archived raw payload for replay and audit.

Source coverage

Agency Full rows Domain
CPSC 8,179 Consumer product recalls
FDA 86,476 Food, drugs, devices, cosmetics, biologics, animal/veterinary alerts
FSIS 1,222 Meat, poultry and egg product recalls
NHTSA 30,143 Vehicle and equipment recalls
USCG 1,763 Recreational boating recalls

EPA is intentionally excluded from v1 (no stable official recall-specific structured feed was identified).

Full dataset access

The full CSV + SQLite export with the complete provenance ledger is available as a one-time $49 snapshot or an enterprise custom request via https://recalldb-public.pages.dev/#pricing

License

Public sample: CC0-1.0 (source records are U.S. federal government publications). Attribution is appreciated for auditability — see https://recalldb-public.pages.dev/SOURCES.md

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