Update README.md

README.md

@@ -1,4 +1,117 @@
 ---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- af
+- am
+- an
+- ar
+- as
+- az
+- be
+- bg
+- bn
+- br
+- bs
+- ca
+- cs
+- cy
+- da
+- de
+- dz
+- el
+- en
+- eo
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- fy
+- ga
+- gd
+- gl
+- gu
+- ha
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- ig
+- is
+- it
+- ja
+- ka
+- kk
+- km
+- kn
+- ko
+- ku
+- ky
+- li
+- lt
+- lv
+- mg
+- mk
+- ml
+- mn
+- mr
+- ms
+- mt
+- my
+- nb
+- ne
+- nl
+- nn
+- 'no'
+- oc
+- or
+- pa
+- pl
+- ps
+- pt
+- ro
+- ru
+- rw
+- se
+- sh
+- si
+- sk
+- sl
+- sq
+- sr
+- sv
+- ta
+- te
+- tg
+- th
+- tk
+- tr
+- tt
+- ug
+- uk
+- ur
+- uz
+- vi
+- wa
+- xh
+- yi
+- yo
+- zh
+- zu
+size_categories:
+- 10M<n<100M
+task_categories:
+- feature-extraction
+- sentence-similarity
+pretty_name: OPUS-100
+tags:
+- sentence-transformers
 dataset_info:
 - config_name: en-af
   features:
@@ -2526,3 +2639,41 @@ configs:
   - split: validation
     path: en-zu/validation-*
 ---
+
+# Dataset Card for Parallel Sentences - OPUS-100
+
+This dataset contains parallel sentences (i.e. English sentence + the same sentences in another language) for numerous other languages. The sentences originate from the [OPUS-100 website](https://opus.nlpl.eu/opus-100.php).
+In particular, this dataset is a reformatting of the [OPUS-100](https://huggingface.co/datasets/Helsinki-NLP/opus-100) 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-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba)
+* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix)
+* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles)
+
+Recent additions (May 2024):
+* [parallel-sentences-opus-100](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opus-100)
+
+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
+    {
+      "english": "Run Program",
+      "non_english": "Rith Ríomhchlár"
+    }
+    ```
+* Collection strategy: Processing the raw data from [OPUS-100](https://huggingface.co/datasets/Helsinki-NLP/opus-100) and restructuring it into 2 columns: "english" and "non_english".
+* Deduplified: No