initial commit

shard.py

@@ -0,0 +1,50 @@
+import json
+import os
+
+def read_and_process_dataset(file_path, num_shards, output_dir):
+    try:
+        with open(file_path, 'r') as file:
+            shard_size = sum(1 for line in file) // num_shards
+            file.seek(0)  # Reset file pointer to the beginning
+
+            current_shard = 0
+            current_line = 0
+            shard = []
+
+            for line in file:
+                if current_line < shard_size * (current_shard + 1):
+                    shard.append(json.loads(line))
+                else:
+                    write_shard(shard, current_shard, output_dir)
+                    shard = [json.loads(line)]
+                    current_shard += 1
+                current_line += 1
+
+            # Write the last shard
+            if shard:
+                write_shard(shard, current_shard, output_dir)
+
+        print(f"Dataset processed and sharded successfully into {num_shards} parts.")
+    except Exception as e:
+        print(f"Error processing dataset from {file_path}: {e}")
+
+def write_shard(shard, shard_index, output_dir):
+    if not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+
+    shard_file = os.path.join(output_dir, f'shard_{shard_index+1}.jsonl')
+    with open(shard_file, 'w') as file:
+        for item in shard:
+            json.dump(item, file)
+            file.write('\n')
+    print(f"Shard {shard_index+1} written to {shard_file}.")
+
+def main():
+    input_file = r"C:\Users\MeMyself\reddit_question_best_answers\processed\synthesized_dataset.jsonl"  # Update with your processed dataset file path
+    output_dir = r"C:\Users\MeMyself\reddit_question_best_answers\processed"  # Update with your output directory for shards
+    num_shards = 33
+
+    read_and_process_dataset(input_file, num_shards, output_dir)
+
+if __name__ == "__main__":
+    main()