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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cpc_code: string
name: string
definition: string
glossary: struct<plant: string, Plant: string, Planting: string, Sowing: string, Fertilising: string, Combine  (... 113749 chars omitted)
  child 0, plant: string
  child 1, Plant: string
  child 2, Planting: string
  child 3, Sowing: string
  child 4, Fertilising: string
  child 5, Combine (noun): string
  child 6, Fork: string
  child 7, Harvest (verb): string
  child 8, Hay: string
  child 9, Haymaking: string
  child 10, Mow (verb): string
  child 11, Thresh (verb): string
  child 12, Transversal: string
  child 13, Longitudinal: string
  child 14, bale: string
  child 15, bundle: string
  child 16, combine: string
  child 17, harvest: string
  child 18, mow: string
  child 19, threshing: string
  child 20, Screens or sieves: string
  child 21, angling: string
  child 22, game: string
  child 23, honeycomb: string
  child 24, poultry: string
  child 25, stock: string
  child 26, halter: string
  child 27, neck-bar: string
  child 28, fetlock ring: string
  child 29, hobble: string
  child 30, frass: string
  child 31, Animal: string
  child 32, Destruction: string
  child 33, Fumigator: string
  child 34, Insect: string
  child 35, Killing: string
  child 36, Noxious: string
  child 37, Snare: string
  child 38, Vermin: string
  child 39, Insects: string
  child 40, Atomiser: string
  child 41, Repelling: string
  child 42, acaricide: string
  child 43, alkali metal: string
  child 44, alkaline earth metal: string
  child 4
...
hild 4894, organic device: string
  child 4895, radiation-sensitive: string
  child 4896, tandem OLED: string
  child 4897, tandem PV cell: string
  child 4898, tiled display: string
  child 4899, OLED display: string
  child 4900, TOLED display: string
  child 4901, AMOLED display: string
  child 4902, PMOLED display: string
  child 4903, OTFT array: string
  child 4904, TFT array: string
  child 4905, RGBW: string
  child 4906, thermocouple: string
  child 4907, thermopile: string
  child 4908, stacked or multilayer(ed) structure: string
  child 4909, Abrikosov vortex: string
  child 4910, cryotron: string
  child 4911, Tc: string
  child 4912, high Tc: string
synonyms_text: string
parents: list<item: string>
  child 0, item: string
parent_titles: list<item: string>
  child 0, item: string
level: int64
processing: struct<parser: string, parsed_terms: string>
  child 0, parser: string
  child 1, parsed_terms: string
artifact_type: string
source: struct<name: string, release: string, archive: string>
  child 0, name: string
  child 1, release: string
  child 2, archive: string
term_type: string
embedding: struct<model: string, dimension: int64, normalized: bool>
  child 0, model: string
  child 1, dimension: int64
  child 2, normalized: bool
data: struct<num_terms: int64, terms_file: string, embedding_file: string, metadata_file: string>
  child 0, num_terms: int64
  child 1, terms_file: string
  child 2, embedding_file: string
  child 3, metadata_file: string
version: string
to
{'artifact_type': Value('string'), 'term_type': Value('string'), 'version': Value('string'), 'source': {'name': Value('string'), 'release': Value('string'), 'archive': Value('string')}, 'processing': {'parser': Value('string'), 'parsed_terms': Value('string')}, 'embedding': {'model': Value('string'), 'dimension': Value('int64'), 'normalized': Value('bool')}, 'data': {'num_terms': Value('int64'), 'terms_file': Value('string'), 'embedding_file': Value('string'), 'metadata_file': Value('string')}}
because column names don't match
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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              cpc_code: string
              name: string
              definition: string
              glossary: struct<plant: string, Plant: string, Planting: string, Sowing: string, Fertilising: string, Combine  (... 113749 chars omitted)
                child 0, plant: string
                child 1, Plant: string
                child 2, Planting: string
                child 3, Sowing: string
                child 4, Fertilising: string
                child 5, Combine (noun): string
                child 6, Fork: string
                child 7, Harvest (verb): string
                child 8, Hay: string
                child 9, Haymaking: string
                child 10, Mow (verb): string
                child 11, Thresh (verb): string
                child 12, Transversal: string
                child 13, Longitudinal: string
                child 14, bale: string
                child 15, bundle: string
                child 16, combine: string
                child 17, harvest: string
                child 18, mow: string
                child 19, threshing: string
                child 20, Screens or sieves: string
                child 21, angling: string
                child 22, game: string
                child 23, honeycomb: string
                child 24, poultry: string
                child 25, stock: string
                child 26, halter: string
                child 27, neck-bar: string
                child 28, fetlock ring: string
                child 29, hobble: string
                child 30, frass: string
                child 31, Animal: string
                child 32, Destruction: string
                child 33, Fumigator: string
                child 34, Insect: string
                child 35, Killing: string
                child 36, Noxious: string
                child 37, Snare: string
                child 38, Vermin: string
                child 39, Insects: string
                child 40, Atomiser: string
                child 41, Repelling: string
                child 42, acaricide: string
                child 43, alkali metal: string
                child 44, alkaline earth metal: string
                child 4
              ...
              hild 4894, organic device: string
                child 4895, radiation-sensitive: string
                child 4896, tandem OLED: string
                child 4897, tandem PV cell: string
                child 4898, tiled display: string
                child 4899, OLED display: string
                child 4900, TOLED display: string
                child 4901, AMOLED display: string
                child 4902, PMOLED display: string
                child 4903, OTFT array: string
                child 4904, TFT array: string
                child 4905, RGBW: string
                child 4906, thermocouple: string
                child 4907, thermopile: string
                child 4908, stacked or multilayer(ed) structure: string
                child 4909, Abrikosov vortex: string
                child 4910, cryotron: string
                child 4911, Tc: string
                child 4912, high Tc: string
              synonyms_text: string
              parents: list<item: string>
                child 0, item: string
              parent_titles: list<item: string>
                child 0, item: string
              level: int64
              processing: struct<parser: string, parsed_terms: string>
                child 0, parser: string
                child 1, parsed_terms: string
              artifact_type: string
              source: struct<name: string, release: string, archive: string>
                child 0, name: string
                child 1, release: string
                child 2, archive: string
              term_type: string
              embedding: struct<model: string, dimension: int64, normalized: bool>
                child 0, model: string
                child 1, dimension: int64
                child 2, normalized: bool
              data: struct<num_terms: int64, terms_file: string, embedding_file: string, metadata_file: string>
                child 0, num_terms: int64
                child 1, terms_file: string
                child 2, embedding_file: string
                child 3, metadata_file: string
              version: string
              to
              {'artifact_type': Value('string'), 'term_type': Value('string'), 'version': Value('string'), 'source': {'name': Value('string'), 'release': Value('string'), 'archive': Value('string')}, 'processing': {'parser': Value('string'), 'parsed_terms': Value('string')}, 'embedding': {'model': Value('string'), 'dimension': Value('int64'), 'normalized': Value('bool')}, 'data': {'num_terms': Value('int64'), 'terms_file': Value('string'), 'embedding_file': Value('string'), 'metadata_file': Value('string')}}
              because column names don't match

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ComPo Embeddings

Versioned CPC and MeSH term data and embeddings used by ComPo for controlled-vocabulary semantic retrieval.

Each version contains the original source data, parsed term data, embeddings, metadata, and a manifest describing how the artifacts were generated.

Structure

cpc/
└── 2026/
    ├── source/
    │   └── FullCPCDefinitionXML202605.tar.gz
    ├── terms.json
    ├── embeddings.npy
    ├── metadata.json
    └── manifest.json

mesh/
└── 2026/
    ├── source/
    │   └── desc2026.xml.tar.gz
    ├── terms.json
    ├── embeddings.npy
    ├── metadata.json
    └── manifest.json
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