Datasets:

SolarisCipher
/

hk_content_corpus_mysql

dataset_info:
  features:
    - name: mysql_dump_file
      dtype: binary
language:
  - yue
  - zh
language_details: zh-Hant-HK; yue-Hant-HK
language_creators:
  - found
annotations_creators:
  - no-annotation
tags:
  - SQL
  - Hong Kong
  - diglossia
  - Cantonese
  - Traditional Chinese
license: cc-by-4.0
pretty_name: HK Web Text Corpus (MySQL Dump, raw version)

HK Web Text Corpus (MySQL Dump, raw version)

Dataset Description

Language: Hong Kong Cantonese, Traditional Chinese
Size: ~49.2 GB (MySQL), 11.1 GB (7z archive)
Format: MySQL dump, UTF-8 encoding
Source: public web sources (news sites, online forums, encyclopedia and restaurant reviews).

Overview

⚠ This dataset provides the MySQL dump file which contains a large-scale raw text corpus collected from various Hong Kong public web sources, primarily focused on Hong Kong Cantonese and Traditional Chinese language usage.

It was used for generating Hong Kong Content Corpus, which was then used in the experiments reported in https://doi.org/10.1145/3744341 to study the effect of diglossia on Hong Kong language modeling.

This MySQL database is intended for archival and reproducibility purposes, and may include noise, duplication, HTML markup, crawler residues, and records that were subsequently cleaned/filtered in the derived corpus release.

This dataset is also available at Zenodo as splited archive: https://doi.org/10.5281/zenodo.16875235

👉 If you are looking for the cleaned, ready-to-use corpus version, please refer to:
https://huggingface.co/datasets/SolarisCipher/hk_content_corpus

SHA256 checksum of files:
b3b7a600ec2e2b5c6ce9ebc1e545712e696c6f6f94b78d0473486609eb7fb854 [SQL file after decompression]

Intended Uses

Pretraining or fine-tuning AI language models
Linguistic and sociolinguistic analysis
Text mining research

NOTE: HKNSL became effective since 2020-6-30, which can create bias on user content created afterwards. Those portion of data should be used with caution.

Citation

If you use this MYSQL database, please cite the following paper:

@article{Yung2025HKDiglossia,
  author    = {Yung, Yiu Cheong and Lin, Ying-Jia and Kao, Hung-Yu},
  title     = {Exploring the Effectiveness of Pre-training Language Models with Incorporation of Diglossia for Hong Kong Content},
  journal   = {ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)},
  volume    = {24},
  number    = {7},
  pages     = {71:1--71:16},
  year      = {2025},
  publisher = {Association for Computing Machinery},
  doi       = {10.1145/3744341}
}

and optionally also cite the database DOI:

@dataset{yung_2025_16875235,
  author       = {Yung, Yiu Cheong},
  title        = {HK Web Text Corpus (MySQL Dump, raw version)},
  month        = aug,
  year         = 2025,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.16875235},
  url          = {https://doi.org/10.5281/zenodo.16875235},
}