Update README.md

README.md

@@ -50,7 +50,7 @@ size_categories:
 task_categories:
 - feature-extraction
 - sentence-similarity
-pretty_name: OpenSubtitle
+pretty_name: OpenSubtitles
 tags:
 - sentence-transformers
 dataset_info:
@@ -767,6 +767,8 @@ configs:
 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 [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) dataset.
 
+Warning! The quality of this dataset is not great; many of the english and non-english texts don't match well, or are fully empty.
+
 ## Related Datasets
 
 The following datasets are also a part of the Parallel Sentences collection:
@@ -791,7 +793,10 @@ These datasets can be used to train multilingual sentence embedding models. For
 * Column types: `str`, `str`
 * Examples:
     ```python
-    
+    {
+      "english": "We can't predict it and we can't control it.",
+      "non_english": "نحن لا نَستطيعُ تَوَقُّعه ونحن لا نَستطيعُ السَيْطَرَة عليه."
+    }
     ```
 * Collection strategy: Combining all other subsets from this dataset.
 * Deduplified: No
@@ -802,7 +807,10 @@ These datasets can be used to train multilingual sentence embedding models. For
 * Column types: `str`, `str`
 * Examples:
     ```python
-    
+    {
+      "english": "ever faithful, ever true, nothing stops him, he'll get through.",
+      "non_english": "우리의 한결같은 심부름꾼 황새 아저씨 가는 길을 그 누가 막으랴!"
+    }
     ```
 * Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet, followed by deduplication.
 * Deduplified: Yes