Update README.md

README.md

@@ -24,68 +24,38 @@ dataset_info:
     num_examples: 71096
   download_size: 14357583
   dataset_size: 28847236
----
-dataset_info:
-  features:
-    - name: source_text
-      dtype: string
-    - name: target_text
-      dtype: string
-    - name: pair
-      dtype: string
-  splits:
-    - name: train
-      num_bytes: 60638430
-      num_examples: 168811
-    - name: validation
-      num_bytes: 180696
-      num_examples: 500
-    - name: test
-      num_bytes: 179354
-      num_examples: 71096
-  download_size: 38775955
-  dataset_size: 60998480
-configs:
-  - config_name: default
-    data_files:
-      - split: train
-        path: data/train-*
-      - split: validation
-        path: data/validation-*
-      - split: test
-        path: data/test-*
 license: apache-2.0
 task_categories:
-  - translation
+- translation
 language:
-  - kk
-  - ru
-  - en
+- kk
+- ru
+- en
+tags:
+- code
 pretty_name: Multilingual Literature Parallel Corpus
+size_categories:
+- 10K<n<100K
+---
 Multilingual Literature Parallel Corpus
 Dataset Information
-The Multilingual Literature Parallel Corpus is a dataset designed for translation tasks. It contains literature parallel text pairs in three languages: Kazakh (kaz_Cyrl), Russian (rus_Cyrl), and English (eng_Latn). This dataset is structured to facilitate the training and evaluation of translation models.
+The Multilingual Literature Parallel Corpus is designed for translation tasks, containing parallel text pairs from literature in three languages: Kazakh (kaz_Cyrl), Russian (rus_Cyrl), and English (eng_Latn). It facilitates training and evaluating translation models.
 
 Features
-source_text: The source text in one of the three languages.
-target_text: The corresponding translated text in one of the other two languages.
-Language_pair: A string indicating the language pair, formatted as source_target (e.g., kaz_to_eng, eng_to_rus).
 
-Language Pairs and Example Counts
-The dataset contains the following language pairs and the corresponding number of examples:
+Language_pair: The language pair in the format source_target (e.g., kaz_to_eng).
+X: The source text.
+y: The translated text.
+X_lang: The language of the source text.
+y_lang: The language of the translated text.
+Similarity: The similarity score between the source and target texts.
 
-en_ru: 48,292 examples
-kk_en: 36,596 examples
-kk_ru: 34,992 examples
-ru_en: 23,722 examples
-ru_kk: 19,713 examples
-en_kk: 5,496 examples
-Splits
-The dataset is divided into three splits:
 
-train:
-Number of examples: 168,811
-validation:
-Number of examples: 500
-test:
-Number of examples: 500
+Language Pairs and Example Counts
+
+rus_Cyrl_eng_Latn: 23,856 examples
+rus_Cyrl_kaz_Cyrl: 19,832 examples
+eng_Latn_rus_Cyrl: 15,690 examples
+eng_Latn_kaz_Cyrl: 5,534 examples
+kaz_Cyrl_eng_Latn: 3,884 examples
+kaz_Cyrl_rus_Cyrl: 2,300 examples