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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<stream_numeral: string, stream_slug: string, title_en: string, title_pl: string, lede_pl: string, entries_count: int64, polish_edition_count: int64, open_access_count: int64, thematic_groups_pl: list<item: string>, canonical_url_pl: string, canonical_url_en: string>
to
{'id': Value('string'), 'stream_slug': Value('string'), 'stream_numeral': Value('string'), 'stream_title_en': Value('string'), 'stream_title_pl': Value('string'), 'group_pl': Value('string'), 'group_en': Value('string'), 'authors': Value('string'), 'title': Value('string'), 'imprint': Value('string'), 'companion_works': List(Value('string')), 'has_polish_edition': Value('bool'), 'is_open_access': Value('bool'), 'critical_annotation_pl': Value('string'), 'critical_annotation_en': Value('string'), 'canonical_url_pl': Value('string'), 'canonical_url_en': Value('string'), 'home_url_pl': Value('string'), 'home_url_en': Value('string')}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<stream_numeral: string, stream_slug: string, title_en: string, title_pl: string, lede_pl: string, entries_count: int64, polish_edition_count: int64, open_access_count: int64, thematic_groups_pl: list<item: string>, canonical_url_pl: string, canonical_url_en: string>
              to
              {'id': Value('string'), 'stream_slug': Value('string'), 'stream_numeral': Value('string'), 'stream_title_en': Value('string'), 'stream_title_pl': Value('string'), 'group_pl': Value('string'), 'group_en': Value('string'), 'authors': Value('string'), 'title': Value('string'), 'imprint': Value('string'), 'companion_works': List(Value('string')), 'has_polish_edition': Value('bool'), 'is_open_access': Value('bool'), 'critical_annotation_pl': Value('string'), 'critical_annotation_en': Value('string'), 'canonical_url_pl': Value('string'), 'canonical_url_en': Value('string'), 'home_url_pl': Value('string'), 'home_url_en': Value('string')}

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taxonomy.works — Annotated Bibliography of Taxonomy, Knowledge Organization & Philosophy of Classification

An open scholarly and practitioner reference dataset from taxonomy.works, documenting 81 canonical works (plus companion editions) with critical annotations across the four disciplines that independently developed the theory and practice of classification:

  1. Stream I — Biological Systematics (systematics): Founding texts of cladistics, numerical taxonomy, and evolutionary systematics (Hennig, Hull, Mayr, Sokal & Sneath, Felsenstein), the species problem (Coyne & Orr, Wilkins, de Queiroz), and the International Codes of Nomenclature (ICZN, ICN Shenzhen, ICNP, PhyloCode).
  2. Stream II — Information & Knowledge Organization (information): Faceted classification and the Classification Research Group (Ranganathan, Vickery, Broughton), thesaurus construction and international standards (Aitchison, Gilchrist & Bawden, ISO 25964, ANSI/NISO Z39.19, Svenonius, Soergel, Lancaster), SKOS & semantic ontologies (W3C SKOS, Arp, Smith & Spear — BFO, Allemang, Hendler & Gandon), and digital information architecture (Lambe, Hedden, Glushko).
  3. Stream III — History & Philosophy of Classification (philosophy): Cognitive categorization (Lakoff, Rosch, Berlin), sociology and politics of classification infrastructure (Bowker & Star — Sorting Things Out, Foucault, Hacking, Borges), and the metaphysics of natural kinds (Kripke, Putnam, Dupré, Boyd, Khalidi, Magnus).
  4. Stream IV — Polish School of Information-Retrieval Languages & Logical Division (polish): Original Polish-language scholarship on information-retrieval languages (Bożenna Bojar, Jadwiga Woźniak-Kasperek, Wiesław Babik, Eugeniusz Ścibor, Barbara Sosińska-Kalata, Olgierd Ungurian) and the Lvov-Warsaw tradition of logical division, typology, and natural kinds (Kazimierz Ajdukiewicz — Logika pragmatyczna, Tadeusz Pawłowski — Tworzenie pojęć w naukach humanistycznych, Joanna Odrowąż-Sypniewska).

Package Contents (open-data/)

File Records Description
annotated-taxonomy-bibliography.json / .csv 81 works Complete bibliography with id (I.1–IV.16), stream_slug, group_pl, authors, title, imprint, companion_works, has_polish_edition, is_open_access, critical_annotation_pl, and canonical links to taxonomy.works.
taxonomy-bibliography-streams.json / .csv 4 streams Overview of the four intellectual streams (I–IV), thematic sub-groups, Polish edition counts, open-access counts, and canonical URLs.

License & Citation (CC BY 4.0)

This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

When citing or reusing this bibliography in knowledge-organization curricula, RAG/ontology engineering documentation, or research papers, please attribute:

Source: Piotr Pytlarz, taxonomy.works — Annotated Bibliography of Taxonomy, Knowledge Organization, and Philosophy of Classification (https://taxonomy.works/en/bibliography/ | https://taxonomy.works/pl/bibliografia/), licensed under CC BY 4.0.

@dataset{taxonomy_works_bibliography_2026,
  title        = {taxonomy.works: Annotated Bibliography of Taxonomy, Knowledge Organization, and Philosophy of Classification},
  author       = {Pytlarz, Piotr},
  year         = {2026},
  version      = {1.0.0},
  publisher    = {taxonomy.works},
  url          = {https://taxonomy.works/en/bibliography/},
  license      = {CC-BY-4.0}
}
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