Update README.md

README.md

@@ -32,6 +32,10 @@ This is every "best reddit_question_best_answers" appended and produced accordin
 {"prompt": "This is the second prompt", "completion": "This is the second completion"}
 ```
 
+
+- 🌟 This dataset is internally consistent
+
+
 🤔The point is to make it easy to train models with a single correctly formatted dataset of
 
 - 54,367,153 rows
@@ -72,6 +76,47 @@ for _ in range(10):  # Combine 10 times as an example
 
 ```
 
+Or try combining rows line by line to save memory :
+
+```python
+
+# see selectbyline.py
+
+import os
+import random
+
+# Directory containing the shard JSONL files
+shard_directory = "/path/to/shard/directory"
+
+# Get a list of all JSONL files in the directory
+shard_files = [f for f in os.listdir(shard_directory) if f.endswith('.jsonl')]
+
+# Function to read a random number of lines (between min_lines and max_lines) from a file
+def read_random_lines(filename, min_lines, max_lines):
+    selected_lines = []
+    num_lines = random.randint(min_lines, max_lines)
+
+    with open(filename, 'r') as file:
+        lines = list(file)
+        if len(lines) <= num_lines:
+            return lines
+        selected_lines = random.sample(lines, num_lines)
+
+    return selected_lines
+
+# Function to combine shards
+def combine_shards(output_filename, num_combinations):
+    with open(output_filename, 'w') as output_file:
+        for _ in range(num_combinations):
+            selected_shard_file = random.choice(shard_files)
+            lines = read_random_lines(os.path.join(shard_directory, selected_shard_file), 5000, 10000)
+            output_file.writelines(lines)
+
+# Example usage
+combine_shards("/path/to/output/combined_shards.jsonl", 10)
+
+```
+
 # Pre-Processing
 
 ```python