Datasets:
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README.md
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The corpus contains the following information for each text sample:
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* `text`: the text sample itself.
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* `source`: an identifier for the source(s) of the text sample (`Wikipedia`, `RedPajama`, `Gutenberg`, …).
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* `id`: an identifier that is unique among the source.
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* `language`: the language of the text sample (relying on the source, that information can be wrong). Possible values
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* an ISO 639-1 code of a natural language: `en`, `fr`, `de`, `es`, or `it`;
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* a common name prefixed by "`code:`" of a programming language: `code:python`, `code:c++`, …; or
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* a list of ISO 639-1 codes separated by commas, if the text sample is multilingual: `fr,en`, `de,fr`, `es,en`, `it,en`,
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or one of those pairs in the opposite order if the languages appear in the opposite order in the text.
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* `url` (optional): the URL of the original text sample on the web, if available.
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* `title` (optional): the title of the original text sample, if available.
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* `author` (optional): the author of the original text sample, if available.
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Usually the author name in plain text, except for `Gutenberg` where it is the JSON serialized object of the author metadata.
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* `
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This field is always a JSON serialized object.
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This can include metadata about the source subset, the rights, etc.
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Examples of metadata (except from `text`) are shown for each source in [metadata_examples.json](metadata/metadata_examples.json).
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The corpus contains the following information for each text sample:
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* `text`: the text sample itself.
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* `source`: an identifier for the source(s) of the text sample (`Wikipedia`, `RedPajama`, `Gutenberg`, …).
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All sources are described in detail [in this document](#details-on-data-sources).
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* `id`: an identifier that is unique among the source.
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* `language`: the language of the text sample (relying on the source, that information can be wrong). <details ><summary>Possible values:</summary>
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* an ISO 639-1 code of a natural language: `en`, `fr`, `de`, `es`, or `it`;
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* a common name prefixed by "`code:`" of a programming language: `code:python`, `code:c++`, …; or
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* a list of ISO 639-1 codes separated by commas, if the text sample is multilingual: `fr,en`, `de,fr`, `es,en`, `it,en`,
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or one of those pairs in the opposite order if the languages appear in the opposite order in the text.
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</details >
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* `url` (optional): the URL of the original text sample on the web, if available.
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* `title` (optional): the title of the original text sample, if available.
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* `author` (optional): the author of the original text sample, if available. <details ><summary>Note:</summary>
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Usually the author name in plain text, except for `Gutenberg` where it is the JSON serialized object of the author metadata.
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</details >
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* `date` (optional): the publication date of the original text sample, if available. <details ><summary>Note:</summary>The text format of the source depends on the source.</details >
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* `quality_signals` (optional): a list of quality signals about the text sample, in JSON format (that could be used for further filtering or sample weighting).
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<details ><summary>Note:</summary>It can include indicators computed by `fasttext` and `CCNet`, statistics about occurrences of characters, words, special characters, etc.
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This field is always a JSON serialized object.
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</details >
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* `extra` (optional): extra information about the text sample, in JSON format.
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This can include metadata about the source subset, the rights, etc.
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Examples of metadata (except from `text`) are shown for each source in [metadata_examples.json](metadata/metadata_examples.json).
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