Upload README.md with huggingface_hub

README.md

@@ -5,21 +5,19 @@ dataset_info:
     dtype: string
   - name: target
     dtype: string
-  - name: task
-    dtype: string
   - name: subset
     dtype: string
   - name: language
     dtype: string
   splits:
   - name: train
-    num_bytes: 5017100271
-    num_examples: 1278891
+    num_bytes: 1961151270
+    num_examples: 314114
   - name: validation
-    num_bytes: 328807241
-    num_examples: 78903
-  download_size: 3460794602
-  dataset_size: 5345907512
+    num_bytes: 81698764
+    num_examples: 11143
+  download_size: 1274975221
+  dataset_size: 2042850034
 task_categories:
 - summarization
 - question-answering
@@ -70,4 +68,4 @@ size_categories:
 - **Data Collection**: The data has been collected from a variety of sources spanning different languages and domains, ensuring a diverse and comprehensive dataset.
 - **Data Cleaning**: The dataset has been filtered by checking the ngram overlap between the source and target document and dropping samples which have too much or too little overlap, and also through normalization.
 - **Known Limitations**: As the dataset is generated from diverse sources, the inherent biases or limitations of those sources may persist in this dataset as well.
-- **Usage Scenarios**: This dataset can be used for training and evaluating models on tasks like summarization and question-answering, in a multilingual context.
+- **Usage Scenarios**: This dataset can be used for training and evaluating models on tasks like summarization and question-answering, in a multilingual context.