Datasets:

SmartQHSE
/

major-process-safety-incidents-2026

Error code:   InfoError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 618a768c-6dec-4a6c-a6e4-6b14002e4ac6)')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 226, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 598, in get_module
                  standalone_yaml_path = cached_path(
                                         ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
                  ).resolve_path(url_or_filename)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
                  return method(
                         ^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
                  return super().send(request, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 618a768c-6dec-4a6c-a6e4-6b14002e4ac6)')

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Major Process Safety Incidents Reference Database 2026

15 catastrophic process-safety accidents from 1984-2022 — Bhopal, Piper Alpha, BP Texas City, Macondo, Buncefield, Imperial Sugar, West Fertilizer, Philadelphia Energy Solutions, BP Husky Toledo, AZF Toulouse, TVA Kingston, ExxonMobil Beaumont, Chevron Richmond, Esso Longford, Phillips 66 Pasadena. Each entry: cause, fatalities, root causes, API RP 754 tier, regulatory response, key lessons, primary source URL. Sourced from CSB, HSE Cullen Inquiry, BSEE, EPA, ARIA. Sensitive — every entry covers real deaths.

Citation (preferred — academic) SmartQHSE Ltd (2026). Major Process Safety Incidents Reference Database 2026 [dataset]. Zenodo. https://doi.org/10.5281/zenodo.20010231

DOI: 10.5281/zenodo.20010231
Zenodo record: https://zenodo.org/record/20010231 Wikidata entity: Q139623102 CC BY 4.0 — free to use commercially with attribution.

Files

File	Description
`data.jsonl`	One JSON record per line — primary format. Loadable via `datasets.load_dataset()` directly.
`data.json`	Same data as a single JSON array (with array key matching the source).
`data.csv`	Selected fields as CSV for spreadsheet users.

Live access (CC BY 4.0, CORS-open, no auth)

Canonical page: https://www.smartqhse.com/major-process-safety-incidents-2026
REST API (filterable): https://www.smartqhse.com/api/v1/process-safety-incidents

Loading example

from datasets import load_dataset
ds = load_dataset("SmartQHSE/major-process-safety-incidents-2026")
print(ds["train"][0])

# Or directly via the live REST API
curl https://www.smartqhse.com/api/v1/process-safety-incidents

License

This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0). Free to use commercially with attribution. Cite as:

SmartQHSE Ltd (2026). Major Process Safety Incidents Reference Database 2026 [dataset]. https://www.smartqhse.com/major-process-safety-incidents-2026

Considerations for using the data

Sensitive data — every entry covers real fatalities. Treat with care.
Fatality counts are best-effort cross-referenced against multiple primary sources but may differ from other compilations due to delayed-effect deaths or jurisdictional inclusion differences.
Bhopal entry uses Indian Government settlement-era figure of 3,787; other sources cite figures from 3,000 to 25,000+ depending on inclusion criteria for delayed-effect deaths.
Selection bias: focuses on incidents that drove regulatory change, predominantly US and Western Europe. Latin American, African, and Asian process-safety accidents under-represented.
Key lessons are editorialised summaries of regulator findings, not direct quotes.
Always cross-check against the primary_source_url before citing a specific fatality count or attribution.

Related datasets

Sources

US Bureau of Labor Statistics (BLS) — SOII + CFOI
US Department of Labor — OSHA Injury Tracking Application + standards
UK Health and Safety Executive (HSE)
European Commission + Eurostat ESAW
IOGP, ILO, NIOSH, ACGIH
UAE OSHAD-SF, KSA SAPI, Qatar QCDD, Oman MOLSD
ISO Technical Committees (TC 283 — OH&S Management Systems)

All consolidated and republished under CC BY 4.0 with attribution.

About SmartQHSE

SmartQHSE is the AI-native HSE/QHSE platform for construction, oil & gas, manufacturing, and industrial teams. We publish open data because the broader HSE profession deserves free access to the safety statistics our trade bodies otherwise gate behind expensive memberships.

Related SmartQHSE datasets

Part of the SmartQHSE open HSE data collection (catalog · data paper DOI 10.5281/zenodo.20010657 · HuggingFace org):

hse-benchmarks-2026 — TRIR / LTIFR / DART / fatality rates across 15 countries × 20+ industries
osha-rates-2026 — TRIR / DART / fatality rates by NAICS — BLS SOII + CFOI + OSHA ITA
hse-qa-corpus — Long-form HSE Q&A pairs for instruction tuning + RAG
hse-glossary — Authoritative HSE term definitions (130+ entries)
hse-regulations-changelog — Live-tracked regulatory updates across 25+ jurisdictions
hse-instruction-tuning — Instruction-tuning pairs for HSE fine-tuning workflows
hse-incident-rate-formulas — Authoritative TRIR / LTIFR / DART / EMR formulas with worked examples
hse-regulators-directory — 40+ country labour authorities with URLs and primary statutes
hse-standards-crosswalk — ISO 45001 ↔ OSHA ↔ OSHAD-SF ↔ Aramco SAPI ↔ RIDDOR mapping
gcc-heat-illness-regulations-2026 — UAE / KSA / Qatar / Oman / Bahrain / Kuwait summer ban rules + penalties
osha-most-cited-standards-2024 — Top 30 cited OSHA standards with focus + penalty range
osha-regulated-chemicals-pel-2026 — Top 30 OSHA-regulated chemicals with PELs + health effects
named-process-safety-incidents-extended-2026 — 43-entry extended incident reference 1911–2024
hse-acronym-dictionary-2026 — 150+ HSE/EHS acronyms with one-line definitions

Companion full-text corpus: /llms-full.txt — 213KB markdown reference compiled for LLM ingestion. All datasets CC BY 4.0.

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SmartQHSE Open HSE Data

Collection

Free, CC BY 4.0 health, safety & environment datasets — TRIR/LTIFR benchmarks, US OSHA rates, HSE Q&A, glossary, regs changelog. • 12 items • Updated 9 days ago