File size: 2,762 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 |
import json
import os
import random
from tiny_shuffle import random_swap_contiguous # type: ignore
file_path = "/vol/zhaoy/ds-ocr/data/CCI3-Data/data/part-00001-6f0afd98-d375-4d7f-8299-ac5e070bf4fc-c000.jsonl"
save_path = f"/vol/zhaoy/ds-ocr/data/CCI3-Data/random_sample100/input.json"
# 1. 读取 jsonl 文件
data = []
with open(file_path, "r", encoding="utf-8", errors="ignore") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
data.append(json.loads(line))
except json.JSONDecodeError:
continue
print(f"✅ 已读取 {len(data)} 条样本")
# 2. 筛选满足条件的样本
filtered = [
item for item in data
if 100 <= item.get("meta_info", {}).get("words_count", 0) <= 10000
]
print(f"✅ 满足条件的样本数: {len(filtered)}")
# 3. 随机抽取 500 条
filtered = random.sample(filtered, min(200, len(filtered)))
# 4. 组织格式
processed = []
os.makedirs("images", exist_ok=True)
for i, item in enumerate(filtered, 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", "").replace(" ", "") # 预处理的时候就把这些去掉
# tiny_shuffled_content, spans = random_swap_contiguous(content, n_swaps=1)
# shuffled_content = ''.join(random.sample(content, len(content)))
processed.append({
"id": sample_id,
"data_source": "CCI3",
"language": "zh",
"image_path": image_path,
"content": content,
"length": len(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}")
# 6. 画 length 分布柱状图
import matplotlib.pyplot as plt
from collections import Counter
import numpy as np
lengths = [p["length"] for p in processed]
bin_width = 100 # 每 50 字一个柱
max_len = max(lengths) if lengths else 0
bins = list(range(0, max_len + bin_width, bin_width))
hist, edges = np.histogram(lengths, bins=bins)
plt.figure(figsize=(10, 5))
plt.bar(edges[:-1], hist, width=bin_width, align="edge", color="skyblue", edgecolor="black")
plt.xticks(edges[::2], rotation=45)
plt.xlabel("Length (characters)")
plt.ylabel("Count")
plt.title("Random-Sample Length Distribution")
plt.tight_layout()
plt.savefig("/vol/zhaoy/ds-ocr/data/CCI3-Data/random_sample100/length_dist.png", dpi=300)
print("✅ 柱状图已保存为 length_dist.png") |