Datasets:

SmartQHSE
/

osha-regulated-chemicals-pel-2026

Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 5 fields in line 15, saw 6

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 247, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4196, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 5 fields in line 15, saw 6

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Canonical landing page: https://www.smartqhse.com/datasets/osha-regulated-chemicals-pel-2026

OSHA-Regulated Hazardous Chemicals — PEL Reference 2026

Top 30 OSHA-regulated hazardous chemicals with Permissible Exposure Limits (PEL, 8-hour TWA), primary health effects, and the OSHA standard reference (e.g. 1910.1028 for benzene). Useful for SDS authoring, industrial-hygiene programs, exposure-control planning, and respirator selection. ACGIH TLVs (generally lower than OSHA PEL) noted where relevant. Sourced from OSHA 29 CFR 1910 Subpart Z and substance-specific standards.

Dataset details

Publisher: SmartQHSE Ltd (https://www.smartqhse.com)
License: CC BY 4.0 — please cite with link to https://www.smartqhse.com
Format: CSV (UTF-8)
Schema: see data.csv first row (header)
Update cadence: annual or on regulatory change
Canonical home: https://www.smartqhse.com/datasets

Suggested citation

SmartQHSE Ltd (2026). OSHA-Regulated Hazardous Chemicals — PEL Reference 2026 [dataset]. https://www.smartqhse.com/datasets

Related SmartQHSE resources

SmartQHSE platform — full QHSE software with ARIA AI assistant
Open datasets catalog
HSE Benchmarks 2026
HSE Glossary
HSE Q&A Corpus
Companion full-text corpus (LLM-optimised SmartQHSE knowledge base, ~213 KB markdown)

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
major-process-safety-incidents-2026 — Original reference DB — Bhopal, Piper Alpha, Texas City, Deepwater Horizon, Buncefield, Flixborough, Seveso
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
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.

Disclaimer

This dataset is published for reference, training, and research. Regulatory text and exposure limits are summarised; consult the authoritative source listed in each row before basing operational or compliance decisions on this dataset. SmartQHSE Ltd accepts no liability for errors or omissions.

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