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@@ -574,22 +574,25 @@ This dataset was made to provide an extensive and diverse dataset for training L
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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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- The list of all sources is described in this document.
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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 are:
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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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- * `date` (optional): the publication date of the original text sample, if available. The text format of the source depends on the source.
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- * `quality_signals` (optional): a list of quality signals about the text sample (that could be used for further filtering or sample weighting).
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- 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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- * `extra` (optional): JSON serialized extra information about the text sample.
 
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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).