Update README.md

README.md

@@ -580,7 +580,8 @@ This dataset was made to provide an extensive and diverse dataset for training L
 
 The corpus contains the following information for each text sample:
 * `text`: the text sample itself.
-* [`language`](metadata/metadata_examples.json#L3): the language of the text sample (relying on the source, that information can be wrong). <details><summary>Possible values:</summary>
+* [`language`](metadata/metadata_examples.json#L3): the language of the text sample (relying on the source, that information can be wrong).
+  <details><summary>Possible values:</summary>
   - an ISO 639-1 code of a natural language ("en", "fr", "de", "es", or "it"),
   - a common name prefixed by "code:" of a programming language ("code:python", "code:c++", …), or
   - a list of ISO 639-1 codes separated by commas when the text sample is multilingual and aligned ("fr,en", "de,fr", "es,en", "it,en",
@@ -591,13 +592,16 @@ The corpus contains the following information for each text sample:
 * [`id`](metadata/metadata_examples.json#L13): an identifier that is unique among the source.
 * [`url`](metadata/metadata_examples.json#L35) (optional): the URL of the original text sample on the web, if available.
 * [`title`](metadata/metadata_examples.json#L36) (optional): the title of the original text sample, if available.
-* [`author`](metadata/metadata_examples.json#L81) (optional): the author of the original text sample, if available. <details><summary>Note:</summary>
+* [`author`](metadata/metadata_examples.json#L81) (optional): the author of the original text sample, if available.
+  <details><summary>Note:</summary>
   Usually the author name in plain text, except for [Gutenberg books](metadata/metadata_examples.json#L91) , where it is the JSON serialized object of the author metadata.
   </details>
-* [`date`](metadata/metadata_examples.json#L6) (optional): the publication date of the original text sample, if available. <details><summary>Note:</summary>
+* [`date`](metadata/metadata_examples.json#L6) (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>
-* [`quality_signals`](metadata/metadata_examples.json#L17) (optional): a list of quality signals about the text sample, in JSON format (that could be used for further filtering or sample weighting). <details><summary>Note:</summary>
+* [`quality_signals`](metadata/metadata_examples.json#L17) (optional): a list of quality signals about the text sample, in JSON format (that could be used for further filtering or sample weighting).
+  <details><summary>Note:</summary>
   It can include indicators computed by `fasttext` and `CCNet`, statistics about occurrences of characters, words, special characters, etc.
   </details>
 * [`extra`](metadata/metadata_examples.json#L16) (optional): extra information about the text sample, in JSON format.
@@ -1532,7 +1536,7 @@ The Number of tokens was computed using the tokenizer of [Lucie-7B LLM](https://
 As the dataset is the result of merging multiple sources, it is divided into subsets based on the source and the language of the texts.
 <br> Different configurations of the dataset are available, depending on the sources and languages included.
 The list of all configurations is available [in the YAML header of this README file](https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/v1.2/README.md?code=true#L24).
-Each configuration corresponds to a pathname pattern in the [`data` subdirectory](https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/tree/main/data).
+Each configuration corresponds to a pathname pattern in the [data subdirectory](https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/tree/v1.2/data).
 
 The dataset is available in the following versions:
 - **v1.1** / [**main**](https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/tree/main/data) (default):