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Datasets:
SteffRhes
/
APIS_OEBL__Named_Entity_Recognition

Tasks:
Token Classification
Languages:
German
License:
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Not able to read records in the JSON file at hf://datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition@cc436c98b1ad17be74b78101208519ca510fda05/data.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 165, in _generate_tables
                  raise ValueError(f"Not able to read records in the JSON file at {file}.") from None
              ValueError: Not able to read records in the JSON file at hf://datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition@cc436c98b1ad17be74b78101208519ca510fda05/data.json.

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JSON file of 6,941 sentences of historical biographies, annotated with "PER" (Person), "ORG" (Organisation), "LOC" (Location).

source

The original data was extracted from the Austrian Biographical Lexicon (ÖBL) in the context of the Austrian Prosopographical Information System (APIS) project.

From there, samples were randomly pulled and annotated for Named Entity Recognition tasks, which form this dataset.

The texts concern numerous smaller biographies in the time period between 19th and early 20th century within historical Austria-Hungary, and were produced by the Austrian Acadamey of Sciences between 1957 and 2023.

The language style is rather condensed and contains a lot of domain-specific abbreviations (some of which were resolved in a related dataset: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__abbreviations).

structure

json structure

The json contains a list of texts with key text_raw and the indices and types of their contained entities with key entities.

Randomized Sentences

The original data set was split into sentences and randomized samples were annotated.

no train, dev, eval split

We decided against pre-splitting the data into these sets, as their quantities might differ between requirements of various NLP training setups.

no token list

We decided against pre-tokenizing the data, as this would embed NLP logic (which tokenizer with what rule?) into the data itself.

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