The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
metadata: struct<name: string, canonical: string, api: string, license: string, license_url: string, cite_as: (... 122 chars omitted)
child 0, name: string
child 1, canonical: string
child 2, api: string
child 3, license: string
child 4, license_url: string
child 5, cite_as: string
child 6, doi: string
child 7, zenodo_url: string
child 8, wikidata_qid: string
child 9, publisher: string
child 10, last_updated: timestamp[s]
child 11, rows: int64
data: list<item: struct<slug: string, term: string, aliases: list<item: string>, short_definition: string, (... 42 chars omitted)
child 0, item: struct<slug: string, term: string, aliases: list<item: string>, short_definition: string, category: (... 30 chars omitted)
child 0, slug: string
child 1, term: string
child 2, aliases: list<item: string>
child 0, item: string
child 3, short_definition: string
child 4, category: string
child 5, canonical_url: string
@context: struct<@language: string, @vocab: string, citeAs: string, column: string, conformsTo: string, cr: st (... 552 chars omitted)
child 0, @language: string
child 1, @vocab: string
child 2, citeAs: string
child 3, column: string
child 4, conformsTo: string
child 5, cr: string
child 6, data: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 7, dataType: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
...
child 17, isLiveDataset: string
child 18, jsonPath: string
child 19, key: string
child 20, md5: string
child 21, parentField: string
child 22, path: string
child 23, recordSet: string
child 24, references: string
child 25, regex: string
child 26, repeated: string
child 27, replace: string
child 28, sc: string
child 29, separator: string
child 30, source: string
child 31, subField: string
child 32, transform: string
isLiveDataset: bool
publisher: struct<@type: string, name: string, url: string>
child 0, @type: string
child 1, name: string
child 2, url: string
conformsTo: string
sameAs: list<item: string>
child 0, item: string
version: string
datePublished: timestamp[s]
distribution: list<item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: stri (... 20 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: string, sha256: (... 8 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, contentUrl: string
child 4, encodingFormat: string
child 5, sha256: string
keywords: list<item: string>
child 0, item: string
citeAs: string
license: string
name: string
dateModified: timestamp[s]
@type: string
description: string
url: string
inLanguage: string
creator: struct<@type: string, name: string, url: string>
child 0, @type: string
child 1, name: string
child 2, url: string
to
{'@context': {'@language': Value('string'), '@vocab': Value('string'), 'citeAs': Value('string'), 'column': Value('string'), 'conformsTo': Value('string'), 'cr': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'dct': Value('string'), 'examples': {'@id': Value('string'), '@type': Value('string')}, 'extract': Value('string'), 'field': Value('string'), 'fileProperty': Value('string'), 'fileObject': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'isLiveDataset': Value('string'), 'jsonPath': Value('string'), 'key': Value('string'), 'md5': Value('string'), 'parentField': Value('string'), 'path': Value('string'), 'recordSet': Value('string'), 'references': Value('string'), 'regex': Value('string'), 'repeated': Value('string'), 'replace': Value('string'), 'sc': Value('string'), 'separator': Value('string'), 'source': Value('string'), 'subField': Value('string'), 'transform': Value('string')}, '@type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'url': Value('string'), 'sameAs': List(Value('string')), 'license': Value('string'), 'creator': {'@type': Value('string'), 'name': Value('string'), 'url': Value('string')}, 'publisher': {'@type': Value('string'), 'name': Value('string'), 'url': Value('string')}, 'datePublished': Value('timestamp[s]'), 'dateModified': Value('timestamp[s]'), 'version': Value('string'), 'keywords': List(Value('string')), 'inLanguage': Value('string'), 'conformsTo': Value('string'), 'citeAs': Value('string'), 'isLiveDataset': Value('bool'), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in 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/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
metadata: struct<name: string, canonical: string, api: string, license: string, license_url: string, cite_as: (... 122 chars omitted)
child 0, name: string
child 1, canonical: string
child 2, api: string
child 3, license: string
child 4, license_url: string
child 5, cite_as: string
child 6, doi: string
child 7, zenodo_url: string
child 8, wikidata_qid: string
child 9, publisher: string
child 10, last_updated: timestamp[s]
child 11, rows: int64
data: list<item: struct<slug: string, term: string, aliases: list<item: string>, short_definition: string, (... 42 chars omitted)
child 0, item: struct<slug: string, term: string, aliases: list<item: string>, short_definition: string, category: (... 30 chars omitted)
child 0, slug: string
child 1, term: string
child 2, aliases: list<item: string>
child 0, item: string
child 3, short_definition: string
child 4, category: string
child 5, canonical_url: string
@context: struct<@language: string, @vocab: string, citeAs: string, column: string, conformsTo: string, cr: st (... 552 chars omitted)
child 0, @language: string
child 1, @vocab: string
child 2, citeAs: string
child 3, column: string
child 4, conformsTo: string
child 5, cr: string
child 6, data: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 7, dataType: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
...
child 17, isLiveDataset: string
child 18, jsonPath: string
child 19, key: string
child 20, md5: string
child 21, parentField: string
child 22, path: string
child 23, recordSet: string
child 24, references: string
child 25, regex: string
child 26, repeated: string
child 27, replace: string
child 28, sc: string
child 29, separator: string
child 30, source: string
child 31, subField: string
child 32, transform: string
isLiveDataset: bool
publisher: struct<@type: string, name: string, url: string>
child 0, @type: string
child 1, name: string
child 2, url: string
conformsTo: string
sameAs: list<item: string>
child 0, item: string
version: string
datePublished: timestamp[s]
distribution: list<item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: stri (... 20 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: string, sha256: (... 8 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, contentUrl: string
child 4, encodingFormat: string
child 5, sha256: string
keywords: list<item: string>
child 0, item: string
citeAs: string
license: string
name: string
dateModified: timestamp[s]
@type: string
description: string
url: string
inLanguage: string
creator: struct<@type: string, name: string, url: string>
child 0, @type: string
child 1, name: string
child 2, url: string
to
{'@context': {'@language': Value('string'), '@vocab': Value('string'), 'citeAs': Value('string'), 'column': Value('string'), 'conformsTo': Value('string'), 'cr': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'dct': Value('string'), 'examples': {'@id': Value('string'), '@type': Value('string')}, 'extract': Value('string'), 'field': Value('string'), 'fileProperty': Value('string'), 'fileObject': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'isLiveDataset': Value('string'), 'jsonPath': Value('string'), 'key': Value('string'), 'md5': Value('string'), 'parentField': Value('string'), 'path': Value('string'), 'recordSet': Value('string'), 'references': Value('string'), 'regex': Value('string'), 'repeated': Value('string'), 'replace': Value('string'), 'sc': Value('string'), 'separator': Value('string'), 'source': Value('string'), 'subField': Value('string'), 'transform': Value('string')}, '@type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'url': Value('string'), 'sameAs': List(Value('string')), 'license': Value('string'), 'creator': {'@type': Value('string'), 'name': Value('string'), 'url': Value('string')}, 'publisher': {'@type': Value('string'), 'name': Value('string'), 'url': Value('string')}, 'datePublished': Value('timestamp[s]'), 'dateModified': Value('timestamp[s]'), 'version': Value('string'), 'keywords': List(Value('string')), 'inLanguage': Value('string'), 'conformsTo': Value('string'), 'citeAs': Value('string'), 'isLiveDataset': Value('bool'), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SmartQHSE HSE Glossary v1
Authoritative HSE / occupational-safety term definitions: TRIR, LTIFR, near-miss, risk assessment, permit-to-work, hierarchy of controls, ALARP, OSHA, hazard identification, root-cause analysis. Each term has aliases, short definition, and links back to a long-form explainer. v1 = 10 terms; v2 will expand to 50+.
Citation (preferred — academic) SmartQHSE Ltd (2026). SmartQHSE HSE Glossary v1 [dataset]. Zenodo. https://doi.org/10.5281/zenodo.20010227
DOI:
10.5281/zenodo.20010227
Zenodo record: https://zenodo.org/record/20010227 Wikidata entity: Q139623112 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/hse-glossary
- REST API (filterable): https://www.smartqhse.com/api/v1/glossary
Loading example
from datasets import load_dataset
ds = load_dataset("SmartQHSE/hse-glossary")
print(ds["train"][0])
# Or directly via the live REST API
curl https://www.smartqhse.com/api/v1/glossary
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). SmartQHSE HSE Glossary v1 [dataset]. https://www.smartqhse.com/hse-glossary
Considerations for using the data
- Very small at v1 (10 entries). Expansion to 50+ planned for v2 (Aug 2026 snapshot).
- Definitions reflect US OSHA terminology primarily. UK HSE / EU equivalents noted where they differ.
- Each term links to a longer explainer at canonical_url; the dataset is intentionally a quick-reference layer, not a textbook.
Related datasets
- SmartQHSE/hse-benchmarks-2026
- SmartQHSE/osha-rates-2026
- SmartQHSE/hse-qa-corpus
- SmartQHSE/hse-glossary
- SmartQHSE/hse-regulations-changelog
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.
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