Datasets:
ArXiv:
License:
File size: 2,426 Bytes
585fe1b 91ebc59 585fe1b 7bab76c 585fe1b 91ebc59 585fe1b 91ebc59 585fe1b 91ebc59 585fe1b 91ebc59 1012c0f 91ebc59 585fe1b 91ebc59 585fe1b |
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 |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
from collections import Counter, defaultdict
from datasets import load_dataset, DownloadMode
import matplotlib.pyplot as plt
from tqdm import tqdm
from project_settings import project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument("--dataset_name", default="bsd_ja_en", type=str)
parser.add_argument(
"--dataset_cache_dir",
default=(project_path / "hub_datasets").as_posix(),
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
dataset = load_dataset(
"../language_identification.py",
name=args.dataset_name,
split="train",
cache_dir=args.dataset_cache_dir,
# download_mode=DownloadMode.FORCE_REDOWNLOAD
)
counter1 = Counter()
counter2 = Counter()
examples = defaultdict(list)
examples_counter = defaultdict(int)
for sample in tqdm(dataset):
text = sample["text"]
language = sample["language"]
text_length = len(text)
text_length_round = int(text_length / 10) * 10
text_length_round = 200 if text_length_round > 200 else text_length_round
counter1.update([language])
counter2.update([text_length_round])
if examples_counter[language] < 3:
examples[language].append(text)
examples_counter[language] += 1
print("\n")
print("语种数量：")
for k, v in counter1.most_common():
print("{}: {}".format(k, v))
print("\n")
print("样本示例：")
print("\n")
print("| 数据 | 语种 | 样本 |")
print("| :---: | :---: | :---: |")
for language, text_list in examples.items():
for text in text_list:
row = "| {} | {} | {} |".format(args.dataset_name, language, text)
print(row)
print("\n")
print("文本长度：")
counter2 = list(sorted(counter2.items(), key=lambda x: x[0]))
x = [item[0] for item in counter2]
y = [item[1] for item in counter2]
for k, v in counter2:
text_length_range = "{}-{}".format(k, k+10)
print("{}: {}".format(text_length_range, v))
plt.plot(x, y)
image_file = project_path / "docs/picture/{}_text_length.jpg".format(args.dataset_name)
plt.savefig(image_file.as_posix())
plt.show()
return
if __name__ == "__main__":
main()
|