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Datasets:
aamirmuhammada
/
annotation-kg-data

Languages:
English
Size:
10K<n<100K
Tags:
ontology
annotation
energy
knowledge-graph
oeo
open-energy-ontology
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
000ef047-6907-4f41-8741-69f29f29c893: struct<title: string, description: string, annotations: list<item: struct<label: string, curie: stri (... 18 chars omitted)
  child 0, title: string
  child 1, description: string
  child 2, annotations: list<item: struct<label: string, curie: string, iri: string>>
      child 0, item: struct<label: string, curie: string, iri: string>
          child 0, label: string
          child 1, curie: string
          child 2, iri: string
000e47fd-bd17-485d-bf05-afe86b14a6f3: struct<title: string, description: string, annotations: list<item: struct<label: string, curie: stri (... 18 chars omitted)
  child 0, title: string
  child 1, description: string
  child 2, annotations: list<item: struct<label: string, curie: string, iri: string>>
      child 0, item: struct<label: string, curie: string, iri: string>
          child 0, label: string
          child 1, curie: string
          child 2, iri: string
to
{'000e47fd-bd17-485d-bf05-afe86b14a6f3': {'title': Value('string'), 'description': Value('string'), 'annotations': List({'label': Value('string'), 'curie': Value('string'), 'iri': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              000ef047-6907-4f41-8741-69f29f29c893: struct<title: string, description: string, annotations: list<item: struct<label: string, curie: stri (... 18 chars omitted)
                child 0, title: string
                child 1, description: string
                child 2, annotations: list<item: struct<label: string, curie: string, iri: string>>
                    child 0, item: struct<label: string, curie: string, iri: string>
                        child 0, label: string
                        child 1, curie: string
                        child 2, iri: string
              000e47fd-bd17-485d-bf05-afe86b14a6f3: struct<title: string, description: string, annotations: list<item: struct<label: string, curie: stri (... 18 chars omitted)
                child 0, title: string
                child 1, description: string
                child 2, annotations: list<item: struct<label: string, curie: string, iri: string>>
                    child 0, item: struct<label: string, curie: string, iri: string>
                        child 0, label: string
                        child 1, curie: string
                        child 2, iri: string
              to
              {'000e47fd-bd17-485d-bf05-afe86b14a6f3': {'title': Value('string'), 'description': Value('string'), 'annotations': List({'label': Value('string'), 'curie': Value('string'), 'iri': Value('string')})}}
              because column names don't match

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LDM Knowledge Graph – OEO Annotations

Automatically generated OEO (Open Energy Ontology) annotations for datasets catalogued in the NFDI4Energy Linked Data Management Knowledge Graph (LDM-KG).

Each JSON file corresponds to one dcat:Dataset resource extracted from LDM-KG_dump_2026-02-09.ttl. Annotations were produced by the NFDI4Energy Annotator against the OEO ontology.

File structure 

annotated-data/
└── <uuid>.json    # one file per dataset

JSON format 

{
  "<dataset-uuid>": {
    "title": "Dataset title",
    "description": "Full dataset description (HTML entities decoded).",
    "annotations": [
      {
        "label": "electric vehicle",
        "curie": "OEO:00000146",
        "iri": "https://openenergyplatform.org/ontology/oeo/OEO_00000146"
      }
    ]
  }
}

Fields

Field Type Description
title string Dataset title from dct:title
description string Dataset description from dct:description (HTML entities decoded)
annotations array Deduplicated OEO concept matches, ordered by relevance score
annotations[].label string Matched ontology term label
annotations[].curie string Compact URI (e.g. OEO:00000146)
annotations[].iri string Full IRI of the ontology term

Downloading a single file 

from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="aamirmuhammada/annotation-kg-data",
    filename="annotated-data/198eb937-a0ed-4727-b7ab-4a8df439b96d.json",
    repo_type="dataset",
)

Downloading all files 

from huggingface_hub import snapshot_download

local_dir = snapshot_download(
    repo_id="aamirmuhammada/annotation-kg-data",
    repo_type="dataset",
)

Direct URL pattern

Every file is also accessible via raw URL:

https://huggingface.co/datasets/aamirmuhammada/annotation-kg-data/resolve/main/annotated-data/<uuid>.json

Sources

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