Datasets:
ro_sts_parallel

Tasks:

Translation

Languages: English Romanian

Multilinguality: multilingual

Size Categories: 10K<n<100K

Language Creators: crowdsourced

Annotations Creators: crowdsourced

Source Datasets: extended|other-sts-b

License: cc-by-4.0

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Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Cannot seek streaming HTTP file
Traceback:    Traceback (most recent call last):
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
                  rows = get_rows(
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
                  return func(*args, **kwargs)
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 164, in get_rows
                  ds = load_dataset(
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/load.py", line 1751, in load_dataset
                  return builder_instance.as_streaming_dataset(split=split)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1206, in as_streaming_dataset
                  splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)}
                File "/tmp/modules-cache/datasets_modules/datasets/ro_sts_parallel/a96678e7bcc0a1dcfffd138bd15364a857b216054da380efb5fd7a3ce53c7dcc/ro_sts_parallel.py", line 92, in _split_generators
                  dl_dir_src = dl_manager.download_and_extract(_DATA_URL.format("train", source))
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1074, in download_and_extract
                  return self.extract(self.download(url_or_urls))
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1026, in extract
                  urlpaths = map_nested(self._extract, url_or_urls, map_tuple=True)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 436, in map_nested
                  return function(data_struct)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1031, in _extract
                  protocol = _get_extraction_protocol(urlpath, use_auth_token=self.download_config.use_auth_token)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 434, in _get_extraction_protocol
                  return _get_extraction_protocol_with_magic_number(f)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 401, in _get_extraction_protocol_with_magic_number
                  f.seek(0)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 737, in seek
                  raise ValueError("Cannot seek streaming HTTP file")
              ValueError: Cannot seek streaming HTTP file

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Dataset Card for RO-STS-Parallel

Dataset Summary

We present RO-STS-Parallel - a Parallel Romanian-English dataset obtained by translating the STS English dataset dataset into Romanian. It contains 17256 sentences in Romanian and English.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

The text dataset is in Romanian and English (ro, en)

Dataset Structure

Data Instances

An example looks like this:

{
  'translation': {
    'ro': 'Problema e si mai simpla.',
    'en': 'The problem is simpler than that.'
    }
}

Data Fields

translation:
- ro: text in Romanian
- en: text in English

Data Splits

The train/validation/test split contain 11,498/3,000/2,758 sentence pairs.

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

*To construct the dataset, we first obtained automatic translations using Google's translation engine. These were then manually checked, corrected, and cross-validated by human volunteers. *

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

CC BY-SA 4.0 License

Citation Information

@inproceedings{dumitrescu2021liro,
  title={Liro: Benchmark and leaderboard for romanian language tasks},
  author={Dumitrescu, Stefan Daniel and Rebeja, Petru and Lorincz, Beata and Gaman, Mihaela and Avram, Andrei and Ilie, Mihai and Pruteanu, Andrei and Stan, Adriana and Rosia, Lorena and Iacobescu, Cristina and others},
  booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1)},
  year={2021}
}

Contributions

Thanks to @lorinczb for adding this dataset.

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