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$ show krmanik/HSK-3.0

[account β†—] [repo β†—] DATA_RESEARCH β˜… 368 77 ● active (last update 4 months ago)
reviewed by: deepseek/deepseek-v4-flash

This repository is a curated collection of Chinese vocabulary lists for standardized tests (HSK 3.0, BCT, YCT), enriched with pinyin, zhuyin, part-of-speech tags, frequency data, and English definitions. It includes Python and JavaScript scripts for data cleaning, format conversion (TXT/TSV/XLSX), POS tag correction using SUBTLEX frequency corpus, and pinyin tone conversion. The data is organized by test level and version (2021 and 2025 HSK standards), with multiple output formats suitable for flashcard apps (Anki, Pleco) and language learning tools. The repository is primarily a data asset with supporting ETL scripts, not a production application. It demonstrates solid data engineering practices for language resource curation, though it suffers from some file duplication and hardcoded paths.

RATING6.5/10
QUALITY6.2/10
MAINTENANCEactive
DRIFTlow
REPRODUCIBILITY5.0/10
CONTRIBUTORS2
VELOCITY0.38
OPEN ISSUES6
CLOSED ISSUES4
LAST COMMIT4 months ago
Files by Type (count)
Other (.mp3)
10900
Text
193
TSV
53
Python
11
JSON
10
Other (.xlsx)
9
Markdown
3
JavaScript
2
HTML
1
Other (.utf8)
1
Jupyter Notebook
1
Files by Type (size)
Other (.mp3)
42MB
Text
41MB
JSON
26MB
TSV
24MB
Other (.utf8)
8MB
Other (.xlsx)
1MB
Jupyter Notebook
64KB
Python
27KB
Markdown
9KB
JavaScript
5KB
HTML
5KB

The LLM identified 2 files worth highlighting for reuse:

Uses SUBTLEX frequency corpus to correct incorrect part-of-speech tags in the CC-CEDICT database. For each word, it finds the dominant POS from the highest-frequency SUBTLEX row and updates the cedict.db accordingly. This is a reusable pattern for improving dictionary POS annotations using external frequency data, applicable to any language resource with frequency and POS information.

file: Scripts and data/fix_cedict_pos.py β†— | tags: #data-cleaning #pos-tagging #frequency-based-correction

Converts numbered pinyin (e.g., 'ni3 hao3') to accented tone marks (e.g., 'nǐ hǎo'). Handles edge cases like 'ΓΌ', 'vβ†’ΓΌ', and multi-syllable words. This is a self-contained, reusable utility for any project needing pinyin normalization, easily extractable and adaptable.

file: Scripts and data/correct pinyin/pinyin_converter.js β†— | tags: #pinyin-conversion #text-processing
Last analyzed: 2026-09-19 12:04:41.799666
Next check: 2026-09-26 12:04:41.765105
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