| from __future__ import annotations |
|
|
| import argparse |
| import json |
| from pathlib import Path |
|
|
| import numpy as np |
| from transformers import AutoTokenizer |
|
|
| from kawk50m.cli import configure_utf8_stdio |
| from scripts.tokenize_corpus import tokenize_split |
|
|
|
|
| def parse_args() -> argparse.Namespace: |
| parser = argparse.ArgumentParser( |
| description="Tokenize one clean JSONL shard into a uint16 token part." |
| ) |
| parser.add_argument("--input", required=True) |
| parser.add_argument("--tokenizer-dir", required=True) |
| parser.add_argument("--output", required=True) |
| parser.add_argument("--batch-size", type=int, default=64) |
| return parser.parse_args() |
|
|
|
|
| def main() -> None: |
| configure_utf8_stdio() |
| args = parse_args() |
| input_path = Path(args.input) |
| output_path = Path(args.output) |
| metadata_path = output_path.with_suffix(".json") |
| if not input_path.is_file(): |
| raise FileNotFoundError(input_path) |
| if output_path.exists() or metadata_path.exists(): |
| raise FileExistsError(f"Refusing to overwrite token part: {output_path}") |
| if args.batch_size <= 0: |
| raise ValueError("--batch-size must be positive") |
|
|
| output_path.parent.mkdir(parents=True, exist_ok=True) |
| tokenizer = AutoTokenizer.from_pretrained( |
| args.tokenizer_dir, use_fast=False, legacy=True |
| ) |
| tokenizer.model_max_length = int(1e30) |
| if len(tokenizer) > np.iinfo(np.uint16).max: |
| raise ValueError("uint16 output requires a vocabulary no larger than 65,535") |
| if tokenizer.eos_token_id is None: |
| raise ValueError("Tokenizer must define eos_token_id") |
|
|
| summary = tokenize_split( |
| split=input_path.stem, |
| paths=[input_path], |
| tokenizer=tokenizer, |
| output_path=output_path, |
| batch_size=args.batch_size, |
| max_tokens=None, |
| ) |
| summary["input"] = str(input_path) |
| with metadata_path.open("w", encoding="utf-8") as handle: |
| json.dump(summary, handle, ensure_ascii=False, indent=2) |
| handle.write("\n") |
| print(json.dumps(summary, ensure_ascii=False)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
