Update README.md

README.md

@@ -1,4 +1,15 @@
 ---
+language:
+- en
+- multilingual
+size_categories:
+- 1M<n<10M
+task_categories:
+- feature-extraction
+- sentence-similarity
+pretty_name: MUSE
+tags:
+- sentence-transformers
 dataset_info:
   features:
   - name: english
@@ -17,3 +28,35 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+# Dataset Card for Parallel Sentences - MUSE
+
+This dataset contains parallel sentences (i.e. English sentence + the same sentences in another language) for numerous other languages. Most of the sentences originate from the [OPUS website](https://opus.nlpl.eu/).
+In particular, this dataset contains the [MUSE](https://github.com/facebookresearch/MUSE) dataset.
+
+## Related Datasets
+
+The following datasets are also a part of the Parallel Sentences collection:
+* [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl)
+* [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices)
+* [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse)
+* [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300)
+* [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary)
+* [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles)
+* [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks)
+* [parallel-sentences-taboeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-taboeba)
+* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix)
+* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles)
+
+These datasets can be used to train multilingual sentence embedding models. For more information, see [sbert.net - Multilingual Models](https://www.sbert.net/examples/training/multilingual/README.html).
+
+## Dataset Stats
+
+* Columns: "english", "non_english"
+* Column types: `str`, `str`
+* Examples:
+    ```python
+    
+    ```
+* Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet.
+* Deduplified: No