Update README.md

README.md

@@ -33,7 +33,10 @@ This is every "best reddit_question_best_answers" appended and produced accordin
 ```
 
 
-- 🌟 This dataset is internally consistent
+- 🌟 You can use it in shards or all together !
+
+- 🌟 This dataset is **internally consistent** !
+
 
 
 🤔The point is to make it easy to train models with a single correctly formatted dataset of
@@ -46,33 +49,7 @@ This is every "best reddit_question_best_answers" appended and produced accordin
 
 # How To Use : 
 
-Combine random shards in random quantities to produce a very high quality conversational training dataset for fine tuning by running the following code:
-
-```python
-
-import random
-
-# Define the shards
-shards = [f"shard_{i}" for i in range(1, 34)]
-
-# Function to combine random shards
-def combine_shards():
-    # Select a random shard
-    selected_shard = random.choice(shards)
-
-    # Select a random quantity (1-5)
-    quantity = random.randint(1, 5)
-
-    return selected_shard, quantity
-
-# Example usage
-for _ in range(10):  # Combine 10 times as an example
-    shard, qty = combine_shards()
-    print(f"Combined {qty} of {shard}")
-
-```
-
-Or try combining rows line by line to save memory :
+Combine random shards in random quantities to produce a very high quality conversational training dataset for fine tuning or try combining rows line by line to save memory by running the following code: 
 
 ```python