chore: wip torchtune, dataset merger

merger.py

@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+import json
+import argparse
+import random
+from collections.abc import Sequence
+from pathlib import Path
+from typing import TypedDict
+
+
+class AlpacaEntry(TypedDict):
+    input: str
+    output: str
+    instruction: str | None
+
+
+class Args(argparse.Namespace):
+    def __init__(self) -> None:
+        super().__init__()
+        self.file1: str = ""
+        self.file2: str = ""
+        self.output: str = ""
+        self.shuffle: bool = False
+        self.seed: int | None = None
+        self.omit_instruction: bool = False
+
+
+def load_file(file_path: str) -> Sequence[AlpacaEntry]:
+    path = Path(file_path)
+    is_jsonl = path.suffix.lower() in (".jsonl", ".ljson")
+
+    with open(file_path, "r", encoding="utf-8") as f:
+        if is_jsonl:
+            data: list[AlpacaEntry] = []
+            for line in f:
+                line = line.strip()
+                if line:  # skip empty lines
+                    entry: AlpacaEntry = json.loads(line)
+                    data.append(entry)
+        else:
+            data = json.load(f)
+
+    # we need input and output f ields
+    for item in data:
+        if not all(key in item for key in ["input", "output"]):
+            raise ValueError(
+                f"Missing required fields in {file_path}. Each item must have 'input' and 'output' fields."
+            )
+
+    return data
+
+
+def write_output(data: Sequence[AlpacaEntry], output_path: str) -> None:
+    path = Path(output_path)
+    is_jsonl = path.suffix.lower() in (".jsonl", ".ljson")
+    print(path, is_jsonl)
+
+    with open(output_path, "w", encoding="utf-8") as f:
+        if is_jsonl:
+            for item in data:
+                _ = f.write(json.dumps(item, ensure_ascii=False) + "\n")
+        else:
+            json.dump(data, f, ensure_ascii=False, indent=2)
+
+
+def merge_datasets(
+    file1: str, file2: str, shuffle: bool = False, omit_instruction: bool = False
+) -> Sequence[AlpacaEntry]:
+    data1 = load_file(file1)
+    data2 = load_file(file2)
+    merged_data = list(data1) + list(data2)
+
+    if omit_instruction:
+        for item in merged_data:
+            _ = item.pop("instruction", None)
+
+    if shuffle:
+        random.shuffle(merged_data)
+
+    return merged_data
+
+
+def parse_args() -> Args:
+    parser = argparse.ArgumentParser(description="Merge two Alpaca-format JSON files")
+    _ = parser.add_argument("file1", type=str, help="Path to first JSON file")
+    _ = parser.add_argument("file2", type=str, help="Path to second JSON file")
+    _ = parser.add_argument("output", type=str, help="Path to output merged JSON file")
+    _ = parser.add_argument(
+        "--shuffle", action="store_true", help="Shuffle the merged dataset"
+    )
+    _ = parser.add_argument("--seed", type=int, help="Random seed for shuffling")
+    _ = parser.add_argument(
+        "--omit-instruction",
+        action="store_true",
+        help="Omit instruction field from output",
+    )
+
+    return parser.parse_args(namespace=Args())
+
+
+def main() -> None:
+    args = parse_args()
+
+    try:
+        if args.seed is not None:
+            random.seed(args.seed)
+
+        merged_data = merge_datasets(
+            args.file1, args.file2, args.shuffle, args.omit_instruction
+        )
+
+        write_output(merged_data, args.output)
+        print(f"Successfully merged files. Total entries: {len(merged_data)}")
+
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        exit(1)
+
+
+if __name__ == "__main__":
+    main()