File size: 2,831 Bytes
7f605ec | 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 | import json
import os
import random
import re
from tiny_shuffle import random_swap_contiguous # type: ignore
def shuffle_words_and_punct(text: str) -> str:
"""
随机打乱英文文本中的单词和标点顺序。
保留标点作为独立token。
"""
# 用正则提取单词和标点
tokens = re.findall(r"[A-Za-z0-9]+|[^\w\s]", text)
if not tokens:
return text
shuffled = tokens[:]
random.shuffle(shuffled)
# 重新拼接成句子
# 逻辑：若下一个是标点，则不加空格；否则加空格
result = ""
for i, tok in enumerate(shuffled):
if i > 0 and not re.match(r"[^\w\s]", tok): # 不是标点才加空格
result += " "
result += tok
return result
file_path = "/vol/zhaoy/ds-ocr/data/Stories_en/data/Children-Stories-0-Final.json"
save_path = f"/vol/zhaoy/ds-ocr/data/Stories_en/sample200_len0.8-1.2k/input.json"
# 1. 读取 jsonl 文件
with open(file_path, "r", encoding="utf-8") as f:
data_o = json.load(f)
new_data = []
i = 0
while i < len(data_o):
# 若只剩最后一条，直接保存
if i == len(data_o) - 1:
item = {
"text": data_o[i]["text"],
"text_token_length": len(data_o[i]["text"].split())
}
new_data.append(item)
break
# 合并相邻两条
text1 = data_o[i]["text"].strip()
text2 = data_o[i + 1]["text"].strip()
merged_text = text1 + " " + text2
item = {
"text": merged_text,
"text_length": len(merged_text.split())
}
new_data.append(item)
i += 2 # 跳过两条
# 2. 筛选满足条件的样本
filtered = [
item for item in new_data
if 800 <= item["text_length"] <= 1200
]
print(f"✅ 满足条件的样本数: {len(filtered)}")
# 3. 随机抽取 x 条
sampled = random.sample(filtered, min(10, len(filtered)))
# 4. 组织格式
processed = []
os.makedirs("images", exist_ok=True)
for i, item in enumerate(sampled, 1):
sample_id = f"RS{i:03d}"
image_path = f"images/{sample_id}.png"
content = item.get("text", "") or item.get("content", "")
content = content.replace("\n", "")
tiny_shuffled_content, spans = random_swap_contiguous(content, n_swaps=1)
shuffled_content = shuffle_words_and_punct(content)
processed.append({
"id": sample_id,
"image_path": image_path,
"content": content,
"tiny_shuffled_content": tiny_shuffled_content,
"spans": spans,
"shuffled_content": shuffled_content
})
# 5. 保存为 JSON 文件
with open(save_path, "w", encoding="utf-8") as f:
json.dump(processed, f, ensure_ascii=False, indent=2)
print(f"✅ 已生成 {len(processed)} 条样本，保存至：{save_path}")
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