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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      __init__() got an unexpected keyword argument 'encoding'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/responses/", line 337, in get_first_rows_response
                  rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token)
                File "/src/services/worker/src/worker/", line 123, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/responses/", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 718, in __iter__
                  for key, example in self._iter():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 708, in _iter
                  yield from ex_iterable
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 112, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/bsc--viquiquad/5cde9e38703cbd227d8529c9673fed881b599934db497eac0af9d71a2e8ce4e6/", line 96, in _generate_examples
                  viquiquad = json.load(f, encoding="utf-8")
                File "/usr/local/lib/python3.9/json/", line 293, in load
                  return loads(,
                File "/usr/local/lib/python3.9/json/", line 359, in loads
                  return cls(**kw).decode(s)
              TypeError: __init__() got an unexpected keyword argument 'encoding'

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YAML Metadata Warning: empty or missing yaml metadata in repo card (

ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia


This repository is now superseded by BSC-TeMU/viquiquad. Future updates will be released in the new repository, so it is highly recommended to load the dataset using the new path:

from datasets import load_dataset
dataset = load_dataset("BSC-TeMU/viquiquad")

From now on, all models and datasets from the BSC's Text Mining Unit will be published on the official organization account.


Attribution-ShareAlike 4.0 International License
This work is licensed under a Attribution-ShareAlike 4.0 International License.

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