language:
- ar
- de
- en
- es
- fr
- it
- ja
- ko
- pt
- ru
- zh
language_bcp47:
- zh-Hans
- zh-Hant
multilinguality:
- multilingual
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
dataset_info:
- config_name: ar
features:
- name: idx
dtype: int64
- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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- config_name: de
features:
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- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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- config_name: en
features:
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- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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features:
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- name: start_ln
dtype: int64
- name: text
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- name: text
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features:
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- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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- config_name: ja
features:
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- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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features:
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dtype: int64
- name: text
dtype: string
splits:
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- config_name: pt
features:
- name: idx
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- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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features:
- name: idx
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- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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- config_name: zh-Hans
features:
- name: idx
dtype: int64
- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
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dataset_size: 51117335603
- config_name: zh-Hant
features:
- name: idx
dtype: int64
- name: start_ln
dtype: int64
- name: text
dtype: string
splits:
- name: train
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num_examples: 12328227
download_size: 12884957758
dataset_size: 18091739883
configs:
- config_name: ar
data_files:
- split: train
path: ar/train-*
- config_name: de
data_files:
- split: train
path: de/train-*
- config_name: en
data_files:
- split: train
path: en/train-*
- config_name: es
data_files:
- split: train
path: es/train-*
- config_name: fr
data_files:
- split: train
path: fr/train-*
- config_name: it
data_files:
- split: train
path: it/train-*
- config_name: ja
data_files:
- split: train
path: ja/train-*
- config_name: ko
data_files:
- split: train
path: ko/train-*
- config_name: pt
data_files:
- split: train
path: pt/train-*
- config_name: ru
data_files:
- split: train
path: ru/train-*
- config_name: zh-Hans
data_files:
- split: train
path: zh-Hans/train-*
- config_name: zh-Hant
data_files:
- split: train
path: zh-Hant/train-*
cc100-documents
This dataset is a restructured version of the CC-100 (statmt/cc100) dataset.
In the original dataset, each instance corresponds to a single paragraph (or a document boundary). In this version, the data has been reformed so that each instance corresponds to a single, complete document.
This document-level structure makes it more convenient for processing using the map() and filter() methods in the Hugging Face Datasets library.
Languages
The following languages are currently available:
| Language | Number of examples |
|---|---|
ar: Arabic |
15,039,879 |
de: German |
69,023,867 |
en: English |
247,588,106 |
es: Spanish |
60,542,096 |
fr: French |
62,112,712 |
it: Italian |
24,674,591 |
ja: Japanese |
65,613,665 |
ko: Korean |
35,678,358 |
pt: Portuguese |
38,999,388 |
ru: Russian |
123,181,529 |
zh-Hans: Chinese (Simplified) |
40,002,855 |
zh-Hant: Chinese (Traditional) |
12,328,227 |
Dataset Structure
Data Instances
Each instance in the dataset represents one document from the original CC-100 dataset, preserving the original document order. The original paragraphs are concatenated together, preserving the newline characters between them, to form a single document text.
Example from the en configuration:
{
"idx": 0,
"start_ln": 1,
"text": "Belmont Estate is on the market for $63 million and boasts roughly 22,000 square feet of luxurious..."
}
{
"idx": 1,
"start_ln": 8,
"text": "Stay well hydrated—that means you should include about 48- 64 ounces of liquid (non-calorie) each day..."
}
Data Fields
- idx (int64): The index of the instance, starting from
0. - start_ln (int64): The 1-based line number where the document begins in the original CC-100 text file.
- text (string): The complete text of the document.
Dataset creation process
The dataset is created from the original CC-100 text files available at https://data.statmt.org/cc-100/.
The code used to create this dataset is available in the GitHub repository.
License
No intellectual property is claimed on the preparation of this corpus. By using this dataset, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.
Please refer to the following pages for license information on the original dataset: