Update README.md

README.md

@@ -1,33 +1,33 @@
----
-dataset_info:
-  features:
-  - name: doc_id
-    dtype: string
-  - name: type
-    dtype: string
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 25324509618
-    num_examples: 806930
-  download_size: 9419131940
-  dataset_size: 25324509618
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-license: cc-by-4.0
-task_categories:
-- text-generation
-language:
-- hi
-- en
-pretty_name: 'long-context '
-size_categories:
-- 100K<n<1M
----
+---
+dataset_info:
+  features:
+  - name: doc_id
+    dtype: string
+  - name: type
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 25324509618
+    num_examples: 806930
+  download_size: 9419131940
+  dataset_size: 25324509618
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+license: cc-by-4.0
+task_categories:
+- text-generation
+language:
+- hi
+- en
+pretty_name: 'long-context '
+size_categories:
+- 100K<n<1M
+---
 
 # Dataset 
 
@@ -42,17 +42,16 @@ This dataset only  Hindi as of now
 # Getting started 
 
 For downloading the entire dataset:
-```
+```python 
 from datasets import load_dataset
-
 dataset = load_dataset("damerajee/long_context_hindi")
 ```
 If dataset is too big you can simply stream:
-```
+```python
 from datasets import load_dataset
 
 dataset = load_dataset("damerajee/long_context_hindi",split='train',streaming=True)
 ```
-```
+```python 
 dataset.take(2)
 ```