Create shard.py

shard.py

@@ -0,0 +1,49 @@
+import json
+import os
+
+def read_dataset(file_path):
+    try:
+        with open(file_path, 'r') as file:
+            data = [json.loads(line) for line in file]
+        print(f"Dataset loaded successfully from {file_path}.")
+        return data
+    except Exception as e:
+        print(f"Error reading dataset from {file_path}: {e}")
+        return []
+
+def shard_dataset(dataset, num_shards):
+    shard_size = len(dataset) // num_shards
+    shards = [dataset[i:i + shard_size] for i in range(0, len(dataset), shard_size)]
+    if len(shards) > num_shards:
+        shards[num_shards - 1].extend(shards.pop())
+    print(f"Dataset sharded into {num_shards} parts.")
+    return shards
+
+def write_shards(shards, output_dir):
+    if not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+        print(f"Created output directory at {output_dir}.")
+
+    for i, shard in enumerate(shards):
+        shard_file = os.path.join(output_dir, f'shard_{i+1}.jsonl')
+        with open(shard_file, 'w') as file:
+            for item in shard:
+                json.dump(item, file)
+                file.write('\n')
+        print(f"Shard {i+1} written to {shard_file}.")
+
+def main():
+    input_file = 'path_to_processed_dataset.jsonl'  # Update with your processed dataset file path
+    output_dir = 'sharded_dataset'  # Update with your output directory for shards
+    num_shards = 33
+
+    dataset = read_dataset(input_file)
+    if dataset:
+        shards = shard_dataset(dataset, num_shards)
+        write_shards(shards, output_dir)
+        print("All shards have been successfully written.")
+    else:
+        print("No dataset to process.")
+
+if __name__ == "__main__":
+    main()