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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/lodeawb/wbfns@b555b74ff1fd54cf534f04b22f650ae9a7c431d1/wbfsn_africa2018.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['records']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. 
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 170, in _generate_tables
                  raise ValueError(
              ValueError: Not able to read records in the JSON file at hf://datasets/lodeawb/wbfns@b555b74ff1fd54cf534f04b22f650ae9a7c431d1/wbfsn_africa2018.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['records']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.

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Dataset Card for wbfns 2018

42 publicly-available document texts downloaded from the World Bank Documents and Report API.

Dataset Details

Dataset Description

42 World Bank document texts, related to Nutrition and food security, published in 2018. All documents are publicly available from the World Bank Project API, here: https://documents.worldbank.org/en/publication/documents-reports/api

  • License: mit

Uses

Intended to be used in very short text summarisation task.

Out-of-Scope Use

Not intended to be used for any other purposes.

Dataset Structure

"id" = World Bank document ID number.

"admreg" = Administrative region.

"count" = The country or countries covered by the document.

"docty" = The type of document, such as 'Project Paper' or 'Working Paper'.

"theme" = Comma-separated list of themes which the document pertains to.

"docdt" = Date on which the document was published.

"majdocty" = Document type according to main usage e.g. 'Project Documents'.

"pdfurl" = Public URL from which the PDF version of the document can be accessed.

"txturl" = Public URL from which the TXT version of the document can be accessed.

"url_friendly_title" = Public parent URL at which the document is hosted.

"projectid" = World Bank Project ID.

"url" = Alternate parent URL at the document is hosted.

"doc-text" = Contents of the 'txturl', above.

Dataset Creation

Curation Rationale

Serves as material for short sample exercise in text summarisation.

Dataset Card Contact

[email protected]

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