krmanik/hsk-3.0-words-list

Contains HSK 3.0 (HSK 1 to HSK 9) Hanzi, Handwritten, Words and Grammar list, also contains list for Anki decks, with frequency, pinyin, zhuyin and meaning.

HSK 3.0

The repository contains HSK 3.0 (HSK 1 - HSK 9) Hanzi, Handwritten, Word and Grammar list. It also contains list for Anki decks with frequency, pinyin, zhuyin and meaning.

The HSK 3.0 PDF file OCRed and saved as text files.
http://www.moe.gov.cn/jyb_xwfb/gzdt_gzdt/s5987/202103/W020210329527301787356.pdf

If you find this repository useful then consider staring this repository.

HSK Hanzi

• HSK 1
• HSK 2
• HSK 3
• HSK 4
• HSK 5
• HSK 6
• HSK 7-9

HSK Handwritten

• Elementary
• Medium
• Advanced

HSK Word

• HSK 1
• HSK 2
• HSK 3
• HSK 4
• HSK 5
• HSK 6
• HSK 7-9

Download Anki-xiehanzi decks from here,
https://github.com/krmanik/Anki-xiehanzi

HSK Grammar

• HSK 1
• HSK 2
• HSK 3
• HSK 4
• HSK 5
• HSK 6
• HSK 7-9

License

View License

hsk-3.0-words-list's Issues

Grammar Points

Has anyone been able to OCR the 572 grammar points at the end of the HSK 3.0 document?

“癌”字读音有误。

HSK-3.0/Scripts and data/hsk/HSK 7-9 with clear meaning.txt

Line 6 in b75e81a

癌,癌,yán,"tumor, sarcoma, leukemia, cancerous, melanoma, malignant tumor, cancer, malignancy, neoplasm, carcinoma"

HSK 语法点文本转成 json 数据

项目中要展示 HSK 语法点，写了段 JS 代码把 txt 文档转成 json 格式方便使用。不过我看本项目是 Python 项目，写了个 Python 版本的贴出来供有需要的同学参考。

import re
import requests

class GrammarPoint:
    def __init__(self, level=0, name="", children=None):
        self.level = level
        self.name = name
        self.children = children if children is not None else []

def get_level_type(line):
    if re.match(r'^A\.\d .+$', line):
        return 1
    if re.match(r'^A\.\d\.\d .+$', line):
        return 2
    if re.match(r'^A\.\d\.\d\.\d .+$', line):
        return 3
    if re.match(r'^A\.\d\.\d\.\d\.\d .+$', line):
        return 4
    if line.startswith('【'):
        return 5
    if line.startswith('(') or line.startswith('（'):
        return 6
    return 7

def pick_text_from_line(line):
    match = re.match(r'^A(\.\d)+ (.+)$', line)
    if match:
        return match.group(2).strip()
    match2 = re.match(r'^【(.+)】(.+)$', line)
    if match2:
        return match2.group(2).strip()
    if line.startswith('(') or line.startswith('（'):
        find_index = line.find(')') if ')' in line else line.find('）')
        return line[find_index + 1:].strip()
    return line

def parse_line(line, current):
    if not line or line.startswith('※'):
        return

    level_type = get_level_type(line)
    if level_type == 1:
        current.name = pick_text_from_line(line)
        current.level = level_type
        return

    target = current
    while target.level < level_type - 1:
        if not target.children or target.children[-1].level == level_type:
            break
        else:
            target = target.children[-1]

    target.children.append(GrammarPoint(level=level_type, name=pick_text_from_line(line)))

def main():
    url = "https://cdn.jsdelivr.net/gh/hellohejinyu/HSK-3.0/HSK%20Grammar/HSK%201.txt"
    response = requests.get(url)
    text = response.text
    lines = [line.strip() for line in text.split('\n') if line.strip()]
    grammar = GrammarPoint(level=1, name="")
    for line in lines:
        parse_line(line, grammar)
    print(grammar.__dict__)  # For demonstration, you might want to implement a more sophisticated way to display the nested structure.

if __name__ == "__main__":
    main()