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Datasets:
dedoc
/
paragraph_dataset

Languages:
Russian
English
French
Size:
10K<n<100K
License:
Dataset card Files Community
Dataset Viewer
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:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables
                  dataset = json.load(f)
                File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load
                  return loads(fp.read(),
                File "/usr/local/lib/python3.9/json/__init__.py", line 346, in loads
                  return _default_decoder.decode(s)
                File "/usr/local/lib/python3.9/json/decoder.py", line 337, in decode
                  obj, end = self.raw_decode(s, idx=_w(s, 0).end())
                File "/usr/local/lib/python3.9/json/decoder.py", line 355, in raw_decode
                  raise JSONDecodeError("Expecting value", s, err.value) from None
              json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
              
              During handling of the above exception, another exception occurred:
              
              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 148, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

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Paragraph dataset

Dataset for a lines classifier that predicts the beginning of a new paragraph (see paragraph classifier).

The repository structure:

└─paragraph_dataset
  ├─labeling
    ├─paragraph_classifier_834997.zip
    └─results
      ├─law_classifier_000000_AKs.json
      ├─ ...
      └─law_classifier_000049_d9X.json
  ├─.gitattributes
  ├─README.md
  └─paragraph_dataset.zip

labeling directory contains tasks for labeling (paragraph_classifier_834997.zip) and labeled lines (results directory). paragraph_dataset.zip contains files with the resilting dataset.

Tasks for labeling are formed using dedoc labeling API. See dedoc documentation for more details.

The structure of the paragraph_dataset.zip archive after unzipping goes as follows:

└─paragraph_dataset
  └─labeled.json
  ├─parameters.json
  ├─task_manager.log
  └─original_documents
    ├─1709714642_887.png
    ├─ ...
    └─1709714823_806.pdf
  • labeled.json contains lines with their labels. For each line, line's text, metadata and formatting are extracted by dedoc.
  • parameters.json contains dedoc parameters using which lines were extracted.
  • task_manager.log contains logs from labeling process.
  • original_documents folder contains documets from which lines were extracted.
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