国家教育研究院学术名词 2023.2.6数据

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使用 mdict-utils 转换，由 csv 转换为词典 txt 文件使用了 jupyter notebook，以下为对应 python 代码片段

import csv

all_entries = []

with open('naer-terms.csv') as fd:
    reader = csv.DictReader(fd)
    for e in reader:
        if e['en-US'] and e['zh-TW'] and e['domain']:
            all_entries.append(f"{e['en-US']}\n<br><b>{e['en-US']}</b>: {e['zh-TW']}<br>— <small>{e['domain']}</small>")

joined_entries = '\n</>\n'.join(all_entries)

with open('naer-terms.txt', 'w') as of:
    of.write(joined_entries)
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