fix readme

README.md

@@ -161,7 +161,19 @@ The dataset only contains 'how-to' questions and their answers. Therefore, it ma
 
 There are two primary ways to load the QA dataset part:
 
-1. Directly from the file (if you have the .jsonl file locally, you can load the dataset using the following Python code).
+1. From the Hugging Face Datasets Hub:
+
+If the dataset is hosted on the Hugging Face Datasets Hub, you can load it directly using the datasets library:
+
+```python
+from datasets import load_dataset
+dataset = load_dataset('Lurunchik/WikiHowNFQA"')
+```
+This will return a DatasetDict object, which is a dictionary-like object that maps split names (e.g., 'train', 'validation', 'test') to Dataset objects. 
+You can access a specific split like so: dataset['train'].
+
+
+2. Directly from the file (if you have the .jsonl file locally, you can load the dataset using the following Python code).
 This will result in a list of dictionaries, each representing a single instance in the dataset.
 
 To load full dataset: 
@@ -170,18 +182,7 @@ To load full dataset:
 import json
 
 dataset = []
-with open('WikiHowNFQA.jsonl') as f:
+with open('train.jsonl') as f: # change to test.jsonl and valid.jsonl
     for l in f:
         dataset.append(json.loads(l))
 ```
-
-2. From the Hugging Face Datasets Hub:
-
-If the dataset is hosted on the Hugging Face Datasets Hub, you can load it directly using the datasets library:
-
-```python
-from datasets import load_dataset
-dataset = load_dataset('Lurunchik/WikiHowNFQA"')
-```
-This will return a DatasetDict object, which is a dictionary-like object that maps split names (e.g., 'train', 'validation', 'test') to Dataset objects. 
-You can access a specific split like so: dataset['train'].