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- wiki40b.py +0 -182
README.md
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---
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language:
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- en
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paperswithcode_id: wiki-40b
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pretty_name: Wiki-40B
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dataset_info:
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features:
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- name: wikidata_id
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dtype: string
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- name: text
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dtype: string
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- name: version_id
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dtype: string
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config_name: en
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splits:
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- name: train
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num_bytes: 9423623904
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num_examples: 2926536
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- name: validation
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num_bytes: 527383016
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num_examples: 163597
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- name: test
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num_bytes: 522219464
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num_examples: 162274
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download_size: 0
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dataset_size: 10473226384
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---
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# Dataset Card for "wiki40b"
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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:** [https://research.google/pubs/pub49029/](https://research.google/pubs/pub49029/)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 0.00 MB
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- **Size of the generated dataset:** 9988.05 MB
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- **Total amount of disk used:** 9988.05 MB
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### Dataset Summary
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Clean-up text for 40+ Wikipedia languages editions of pages
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correspond to entities. The datasets have train/dev/test splits per language.
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The dataset is cleaned up by page filtering to remove disambiguation pages,
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redirect pages, deleted pages, and non-entity pages. Each example contains the
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wikidata id of the entity, and the full Wikipedia article after page processing
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that removes non-content sections and structured objects.
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Languages
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Dataset Structure
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### Data Instances
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#### en
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- **Size of downloaded dataset files:** 0.00 MB
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- **Size of the generated dataset:** 9988.05 MB
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- **Total amount of disk used:** 9988.05 MB
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An example of 'train' looks as follows.
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```
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```
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### Data Fields
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The data fields are the same among all splits.
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#### en
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- `wikidata_id`: a `string` feature.
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- `text`: a `string` feature.
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- `version_id`: a `string` feature.
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### Data Splits
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|name| train |validation| test |
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|----|------:|---------:|-----:|
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|en |2926536| 163597|162274|
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## Dataset Creation
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### Curation Rationale
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the source language producers?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Annotations
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#### Annotation process
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the annotators?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Personal and Sensitive Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Discussion of Biases
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Other Known Limitations
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Additional Information
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### Dataset Curators
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Licensing Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Citation Information
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```
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```
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### Contributions
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Thanks to [@jplu](https://github.com/jplu), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@albertvillanova](https://github.com/albertvillanova), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
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ar/test/0000.parquet
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ar/validation/0000.parquet
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dataset_infos.json
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{"en": {"description": "\nClean-up text for 40+ Wikipedia languages editions of pages\ncorrespond to entities. The datasets have train/dev/test splits per language.\nThe dataset is cleaned up by page filtering to remove disambiguation pages,\nredirect pages, deleted pages, and non-entity pages. Each example contains the\nwikidata id of the entity, and the full Wikipedia article after page processing\nthat removes non-content sections and structured objects.\n", "citation": "\n", "homepage": "https://research.google/pubs/pub49029/", "license": "", "features": {"wikidata_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "version_id": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wiki40b", "config_name": "en", "version": {"version_str": "1.1.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 9423623904, "num_examples": 2926536, "dataset_name": "wiki40b"}, "validation": {"name": "validation", "num_bytes": 527383016, "num_examples": 163597, "dataset_name": "wiki40b"}, "test": {"name": "test", "num_bytes": 522219464, "num_examples": 162274, "dataset_name": "wiki40b"}}, "download_checksums": {}, "download_size": 0, "dataset_size": 10473226384, "size_in_bytes": 10473226384}}
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wiki40b.py
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# coding=utf-8
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# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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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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"""Wiki40B: A clean Wikipedia dataset for 40+ languages."""
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """
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"""
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_DESCRIPTION = """
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Clean-up text for 40+ Wikipedia languages editions of pages
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correspond to entities. The datasets have train/dev/test splits per language.
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The dataset is cleaned up by page filtering to remove disambiguation pages,
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redirect pages, deleted pages, and non-entity pages. Each example contains the
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wikidata id of the entity, and the full Wikipedia article after page processing
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that removes non-content sections and structured objects.
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"""
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_LICENSE = """
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This work is licensed under the Creative Commons Attribution-ShareAlike
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3.0 Unported License. To view a copy of this license, visit
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http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to
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Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
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"""
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_URL = "https://research.google/pubs/pub49029/"
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_DATA_DIRECTORY = "gs://tfds-data/downloads/wiki40b/tfrecord_prod"
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WIKIPEDIA_LANGUAGES = [
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"en",
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"ar",
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"zh-cn",
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"zh-tw",
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"nl",
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"fr",
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"de",
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"it",
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"ja",
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"ko",
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"pl",
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"pt",
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"ru",
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"es",
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"th",
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"tr",
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"bg",
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"ca",
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"cs",
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"da",
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"el",
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"et",
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"fa",
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"fi",
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"he",
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"hi",
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"hr",
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"hu",
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"id",
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"lt",
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"lv",
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"ms",
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"no",
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"ro",
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"sk",
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"sl",
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"sr",
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"sv",
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"tl",
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"uk",
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"vi",
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]
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class Wiki40bConfig(datasets.BuilderConfig):
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"""BuilderConfig for Wiki40B."""
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def __init__(self, language=None, **kwargs):
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"""BuilderConfig for Wiki40B.
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Args:
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language: string, the language code for the Wiki40B dataset to use.
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**kwargs: keyword arguments forwarded to super.
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"""
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super(Wiki40bConfig, self).__init__(
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name=str(language), description=f"Wiki40B dataset for {language}.", **kwargs
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)
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self.language = language
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_VERSION = datasets.Version("1.1.0")
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class Wiki40b(datasets.BeamBasedBuilder):
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"""Wiki40B: A Clean Wikipedia Dataset for Mutlilingual Language Modeling."""
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BUILDER_CONFIGS = [
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Wiki40bConfig(
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version=_VERSION,
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language=lang,
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) # pylint:disable=g-complex-comprehension
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for lang in WIKIPEDIA_LANGUAGES
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
|
126 |
-
features=datasets.Features(
|
127 |
-
{
|
128 |
-
"wikidata_id": datasets.Value("string"),
|
129 |
-
"text": datasets.Value("string"),
|
130 |
-
"version_id": datasets.Value("string"),
|
131 |
-
}
|
132 |
-
),
|
133 |
-
supervised_keys=None,
|
134 |
-
homepage=_URL,
|
135 |
-
citation=_CITATION,
|
136 |
-
)
|
137 |
-
|
138 |
-
def _split_generators(self, dl_manager):
|
139 |
-
"""Returns SplitGenerators."""
|
140 |
-
|
141 |
-
lang = self.config.language
|
142 |
-
|
143 |
-
return [
|
144 |
-
datasets.SplitGenerator(
|
145 |
-
name=datasets.Split.TRAIN,
|
146 |
-
gen_kwargs={"filepaths": f"{_DATA_DIRECTORY}/train/{lang}_examples-*"},
|
147 |
-
),
|
148 |
-
datasets.SplitGenerator(
|
149 |
-
name=datasets.Split.VALIDATION,
|
150 |
-
gen_kwargs={"filepaths": f"{_DATA_DIRECTORY}/dev/{lang}_examples-*"},
|
151 |
-
),
|
152 |
-
datasets.SplitGenerator(
|
153 |
-
name=datasets.Split.TEST,
|
154 |
-
gen_kwargs={"filepaths": f"{_DATA_DIRECTORY}/test/{lang}_examples-*"},
|
155 |
-
),
|
156 |
-
]
|
157 |
-
|
158 |
-
def _build_pcollection(self, pipeline, filepaths):
|
159 |
-
"""Build PCollection of examples."""
|
160 |
-
import apache_beam as beam
|
161 |
-
import tensorflow as tf
|
162 |
-
|
163 |
-
logger.info("generating examples from = %s", filepaths)
|
164 |
-
|
165 |
-
def _extract_content(example):
|
166 |
-
"""Extracts content from a TFExample."""
|
167 |
-
wikidata_id = example.features.feature["wikidata_id"].bytes_list.value[0].decode("utf-8")
|
168 |
-
text = example.features.feature["text"].bytes_list.value[0].decode("utf-8")
|
169 |
-
version_id = example.features.feature["version_id"].bytes_list.value[0].decode("utf-8")
|
170 |
-
|
171 |
-
# wikidata_id could be duplicated with different texts.
|
172 |
-
yield wikidata_id + text, {
|
173 |
-
"wikidata_id": wikidata_id,
|
174 |
-
"text": text,
|
175 |
-
"version_id": version_id,
|
176 |
-
}
|
177 |
-
|
178 |
-
return (
|
179 |
-
pipeline
|
180 |
-
| beam.io.ReadFromTFRecord(filepaths, coder=beam.coders.ProtoCoder(tf.train.Example))
|
181 |
-
| beam.FlatMap(_extract_content)
|
182 |
-
)
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