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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    FileNotFoundError
Message:      [Errno 2] No such file or directory: 'zip://multibooked-master/corpora/ca::'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/", line 584, in compute_first_rows_response
                  rows = get_rows(
                File "/src/services/worker/src/worker/job_runners/split/", line 179, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/split/", line 235, 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 937, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 113, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/multi_booked/cd75af5de89d523f31d3f49a65a84cf8efa82b255c4d1622e58e13a75f0466f6/", line 119, in _generate_examples
                  for id_, filepath in enumerate(sorted(Path(dirpath).iterdir())):
                File "/usr/local/lib/python3.9/", line 1160, in iterdir
                  for name in self._accessor.listdir(self):
              FileNotFoundError: [Errno 2] No such file or directory: 'zip://multibooked-master/corpora/ca::'

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Dataset Card for MultiBooked

Dataset Summary

MultiBooked is a corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification.

The corpora are compiled from hotel reviews taken mainly from The corpora are in Kaf/Naf format, which is an xml-style stand-off format that allows for multiple layers of annotation. Each review was sentence- and word-tokenized and lemmatized using Freeling for Catalan and ixa-pipes for Basque. Finally, for each language two annotators annotated opinion holders, opinion targets, and opinion expressions for each review, following the guidelines set out in the OpeNER project.

Supported Tasks and Leaderboards

[More Information Needed]


Each sub-dataset is monolingual in the languages:

  • ca: Catalan
  • eu: Basque

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

  • text: layer of the original text.
    • wid: list of word IDs for each word within the example.
    • sent: list of sentence IDs for each sentence within the example.
    • para: list of paragraph IDs for each paragraph within the example.
    • word: list of words.
  • terms: layer of the terms resulting from the analysis of the original text (lemmatization, morphological, PoS tagging)
    • tid: list of term IDs for each term within the example.
    • lemma: list of lemmas.
    • morphofeat: list of morphological features.
    • pos: list of PoS tags.
    • target: list of sublists of the corresponding word IDs (normally, the sublists contain only one element, in a one-to-one correspondence between words and terms).
  • opinions: layer of the opinions in the text.
    • oid: list of opinion IDs
    • opinion_holder_target: list of sublists of the corresponding term IDs that span the opinion holder.
    • opinion_target_target: list of sublists of the corresponding term IDs that span the opinion target.
    • opinion_expression_polarity: list of the opinion expression polarities. The polarity can take one of the values: StrongNegative, Negative, Positive, or StrongPositive.
    • opinion_expression_target: list of sublists of the corresponding term IDs that span the opinion expression.

Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]


Annotation process

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Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Dataset is under the CC-BY 3.0 license.

Citation Information

    author={Barnes, Jeremy and Lambert, Patrik and Badia, Toni},
    title={MultiBooked: A corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification},
    booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)},
    year = {2018},
    month = {May},
    date = {7-12},
    address = {Miyazaki, Japan},
    publisher = {European Language Resources Association (ELRA)},
    language = {english}


Thanks to @albertvillanova for adding this dataset.

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