File size: 4,757 Bytes
295d147 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 | import argparse
import json
import random
from pathlib import Path
import numpy as np
from tokenizers import Tokenizer
from tqdm import tqdm
def split_clean_text(text, max_chars=20000):
if "<|eos|>" in text:
parts = text.split("<|eos|>")
else:
parts = []
current = []
current_len = 0
for paragraph in text.split("\n\n"):
paragraph = paragraph.strip()
if not paragraph:
continue
if current and current_len + len(paragraph) > max_chars:
parts.append("\n\n".join(current))
current = []
current_len = 0
current.append(paragraph)
current_len += len(paragraph)
if current:
parts.append("\n\n".join(current))
return [part.strip() for part in parts if len(part.strip()) >= 200]
def load_texts(include_clean=True, include_instructions=True, clean_globs=None, instruction_globs=None):
texts = []
if include_clean:
clean_paths = []
for pattern in clean_globs or ["data/clean/*.txt"]:
clean_paths.extend(Path().glob(pattern))
for path in sorted(set(clean_paths)):
text = path.read_text(encoding="utf-8", errors="ignore").strip()
for chunk in split_clean_text(text):
texts.append(f"<|bos|><|godot|>\n{chunk}\n<|eos|>\n")
if include_instructions:
instruction_paths = []
for pattern in instruction_globs or ["data/instructions/*.jsonl"]:
instruction_paths.extend(Path().glob(pattern))
for path in sorted(set(instruction_paths)):
with path.open("r", encoding="utf-8") as f:
for line_no, line in enumerate(f, start=1):
line = line.strip()
if not line:
continue
item = json.loads(line)
instruction = item["instruction"].strip()
answer = item["answer"].strip()
domain = item.get("domain", "godot").strip().lower()
domain_tags = {
"godot": "<|godot|>\n",
"unity": "Domain: Unity\n",
"unreal": "Domain: Unreal Engine\n",
"general": "",
}
domain_tag = domain_tags.get(domain, "")
text = (
f"<|bos|>{domain_tag}"
"<|user|>\n"
f"{instruction}\n"
"<|assistant|>\n"
f"{answer}\n"
"<|eos|>\n"
)
texts.append(text)
random.shuffle(texts)
return texts
def encode_all(texts, tokenizer):
ids = []
eos_id = tokenizer.token_to_id("<|eos|>")
for text in tqdm(texts, desc="Encoding"):
encoded = tokenizer.encode(text).ids
ids.extend(encoded)
if eos_id is not None and (not encoded or encoded[-1] != eos_id):
ids.append(eos_id)
return np.array(ids, dtype=np.uint16)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--tokenizer", default="tokenizer/tokenizer.json")
parser.add_argument("--out-dir", default="data/tokens")
parser.add_argument("--val-ratio", type=float, default=0.02)
parser.add_argument("--seed", type=int, default=42)
parser.add_argument("--include-clean", action=argparse.BooleanOptionalAction, default=True)
parser.add_argument("--include-instructions", action=argparse.BooleanOptionalAction, default=True)
parser.add_argument("--clean-glob", action="append")
parser.add_argument("--instruction-glob", action="append")
args = parser.parse_args()
random.seed(args.seed)
tokenizer = Tokenizer.from_file(args.tokenizer)
texts = load_texts(
include_clean=args.include_clean,
include_instructions=args.include_instructions,
clean_globs=args.clean_glob,
instruction_globs=args.instruction_glob,
)
if len(texts) < 2:
raise SystemExit("Need at least two texts to create train/val splits")
split = max(1, int(len(texts) * (1.0 - args.val_ratio)))
split = min(split, len(texts) - 1)
train_texts = texts[:split]
val_texts = texts[split:]
out_dir = Path(args.out_dir)
out_dir.mkdir(parents=True, exist_ok=True)
train_ids = encode_all(train_texts, tokenizer)
val_ids = encode_all(val_texts, tokenizer)
train_ids.tofile(out_dir / "train.bin")
val_ids.tofile(out_dir / "val.bin")
print("train tokens:", len(train_ids))
print("val tokens:", len(val_ids))
if __name__ == "__main__":
main()
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