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- cawac.py +0 -90
- dataset_infos.json +0 -1
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README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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language:
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- ca
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license:
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- cc-by-sa-3.0
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multilinguality:
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- monolingual
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size_categories:
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- 10M<n<100M
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source_datasets:
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- original
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task_categories:
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- text-generation
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- fill-mask
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task_ids:
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- language-modeling
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- masked-language-modeling
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paperswithcode_id: cawac
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pretty_name: caWaC
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dataset_info:
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features:
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- name: sentence
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dtype: string
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splits:
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- name: train
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num_bytes: 3987238444
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num_examples: 24745986
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download_size: 1620361999
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dataset_size: 3987238444
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---
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# Dataset Card for caWaC
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** http://nlp.ffzg.hr/resources/corpora/cawac/
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- **Repository:** http://nlp.ffzg.hr/data/corpora/cawac.uniq.sortr.gz
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- **Paper:** http://www.lrec-conf.org/proceedings/lrec2014/pdf/841_Paper.pdf
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- **Leaderboard:**
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- **Point of Contact:** [Nikola Ljubešič](mailto:[email protected])
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### Dataset Summary
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caWaC is a 780-million-token web corpus of Catalan built from the .cat top-level-domain in late 2013.
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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Dataset is monolingual in Catalan language.
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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Dataset is under the [CC-BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0/) license.
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### Citation Information
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```
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@inproceedings{DBLP:conf/lrec/LjubesicT14,
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author = {Nikola Ljubesic and
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Antonio Toral},
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editor = {Nicoletta Calzolari and
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Khalid Choukri and
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Thierry Declerck and
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Hrafn Loftsson and
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Bente Maegaard and
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Joseph Mariani and
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Asunci{\'{o}}n Moreno and
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Jan Odijk and
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Stelios Piperidis},
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title = {caWaC - {A} web corpus of Catalan and its application to language
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modeling and machine translation},
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booktitle = {Proceedings of the Ninth International Conference on Language Resources
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and Evaluation, {LREC} 2014, Reykjavik, Iceland, May 26-31, 2014},
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pages = {1728--1732},
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publisher = {European Language Resources Association {(ELRA)}},
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year = {2014},
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url = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/841.html},
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timestamp = {Mon, 19 Aug 2019 15:23:35 +0200},
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biburl = {https://dblp.org/rec/conf/lrec/LjubesicT14.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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### Contributions
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Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
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cawac.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""caWaC: Catalan web corpus dataset."""
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import datasets
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_CITATION = """\
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@inproceedings{DBLP:conf/lrec/LjubesicT14,
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author = {Nikola Ljubesic and
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Antonio Toral},
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editor = {Nicoletta Calzolari and
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Khalid Choukri and
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Thierry Declerck and
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Hrafn Loftsson and
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Bente Maegaard and
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Joseph Mariani and
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Asunci{\'{o}}n Moreno and
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Jan Odijk and
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Stelios Piperidis},
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title = {caWaC - {A} web corpus of Catalan and its application to language
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modeling and machine translation},
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booktitle = {Proceedings of the Ninth International Conference on Language Resources
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and Evaluation, {LREC} 2014, Reykjavik, Iceland, May 26-31, 2014},
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pages = {1728--1732},
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publisher = {European Language Resources Association {(ELRA)}},
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year = {2014},
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url = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/841.html},
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timestamp = {Mon, 19 Aug 2019 15:23:35 +0200},
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biburl = {https://dblp.org/rec/conf/lrec/LjubesicT14.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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"""
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_DESCRIPTION = """\
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caWaC is a 780-million-token web corpus of Catalan built from the .cat top-level-domain in late 2013.
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"""
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_LICENSE = "CC BY-SA 3.0"
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_URL = "http://nlp.ffzg.hr/resources/corpora/cawac/"
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_URLS = "http://nlp.ffzg.hr/data/corpora/cawac.uniq.sortr.gz"
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class Cawac(datasets.GeneratorBasedBuilder):
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"""caWaC: Catalan web corpus dataset."""
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"sentence": datasets.Value("string"),
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}
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),
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supervised_keys=None,
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homepage=_URL,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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downloaded_file = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": downloaded_file,
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},
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),
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]
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def _generate_examples(self, filepath):
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with open(filepath, encoding="utf8") as f:
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for id_, row in enumerate(f):
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yield id_, {
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"sentence": row,
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}
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dataset_infos.json
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{"default": {"description": "caWaC is a 780-million-token web corpus of Catalan built from the .cat top-level-domain in late 2013. \n", "citation": "@inproceedings{DBLP:conf/lrec/LjubesicT14,\n author = {Nikola Ljubesic and\n Antonio Toral},\n editor = {Nicoletta Calzolari and\n Khalid Choukri and\n Thierry Declerck and\n Hrafn Loftsson and\n Bente Maegaard and\n Joseph Mariani and\n Asunci{'{o}}n Moreno and\n Jan Odijk and\n Stelios Piperidis},\n title = {caWaC - {A} web corpus of Catalan and its application to language\n modeling and machine translation},\n booktitle = {Proceedings of the Ninth International Conference on Language Resources\n and Evaluation, {LREC} 2014, Reykjavik, Iceland, May 26-31, 2014},\n pages = {1728--1732},\n publisher = {European Language Resources Association {(ELRA)}},\n year = {2014},\n url = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/841.html},\n timestamp = {Mon, 19 Aug 2019 15:23:35 +0200},\n biburl = {https://dblp.org/rec/conf/lrec/LjubesicT14.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n", "homepage": "http://nlp.ffzg.hr/resources/corpora/cawac/", "license": "CC BY-SA 3.0", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "cawac", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3987238444, "num_examples": 24745986, "dataset_name": "cawac"}}, "download_checksums": {"http://nlp.ffzg.hr/data/corpora/cawac.uniq.sortr.gz": {"num_bytes": 1620361999, "checksum": "581af7712663214acd437c812b65cda875a42294bcc40c8e8cadc3d9eee3b442"}}, "download_size": 1620361999, "post_processing_size": null, "dataset_size": 3987238444, "size_in_bytes": 5607600443}}
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default/train/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:056e192d6a5f8d46149c535612597e2878ab5773b193aaabf27e5f9015d72ed9
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size 355543658
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default/train/0001.parquet
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size 355667376
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default/train/0002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:753310367ece5d0cb0e9f6bb10923665cfe46c65fa7e8fffdf5bed9bc5e52554
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size 355592800
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default/train/0003.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:e696c6d3b41b49b156a2f1b2be0fed825b8ee2481d4ea4da1361aa0348f65b66
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