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.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,131 @@
----
-license: cc-by-4.0
----
+---
+dataset_info:
+  features:
+    - name: text
+      dtype: string
+tags:
+- corpus
+- Hong Kong
+- diglossia
+- Cantonese
+- Traditional Chinese
+language:
+- yue
+- zh
+language_details: "yue-Hant-HK; zh-Hant-HK"
+language_creators:
+- found
+annotations_creators:
+- no-annotation
+source_datasets:
+  - LIHKG forum posts
+  - OpenRice user reviews
+  - Apple Daily news articles
+  - Hong Kong Citizen Media
+  - Citizen News
+  - Stand News
+  - Hong Kong Inmedia
+  - Wikipedia (zh-HK)
+
+configs:
+  - config_name: appledaily
+    data_files: "appledaily_article_dedup.csv"
+    sep: "\n\n"
+  - config_name: hkcitizenmedia
+    data_files: "hkcitizenmedia_article_dedup.csv"
+    sep: "\n\n"
+  - config_name: hkcnews
+    data_files: "hkcnews_article_dedup.csv"
+    sep: "\n\n"
+  - config_name: inmediahk
+    data_files: "inmedia_article_dedup.csv"
+    sep: "\n\n"
+  - config_name: lihkg
+    data_files: "lihkg_posts_dedup_demoji_128.csv"
+    sep: "\n\n"
+  - config_name: openrice
+    data_files: "openrice_review_dedup_demoji.csv"
+    sep: "\n\n"
+  - config_name: standnews
+    data_files: "thestandnews_article_dedup.csv"
+    sep: "\n\n"
+  - config_name: wiki_hk
+    data_files: "wiki_hk.csv"
+    sep: "\n\n"
+license: cc-by-4.0
+pretty_name: HK Content Corpus (Cantonese \& Traditional Chinese)
+---
+
+# HK Content Corpus (Cantonese \& Traditional Chinese)
+
+## Dataset Description
+
+- **Language:** Hong Kong Cantonese, Traditional Chinese
+- **Size:** 9.44GB
+- **Source:** public web sources (news sites, online forums, encyclopedia and restaurant reviews).
+
+This dataset contains eight cleaned source-specific corpora of **Hong Kong Cantonese** and **Traditional Chinese** text, crawled from public websites and platforms.  
+
+It was initially created for the experiments reported in **https://doi.org/10.1145/3744341** which study the **effect of diglossia on Hong Kong language** modeling.  
+
+Each file stores plain UTF-8 text, where **each record occupies one line**, and **blank lines serve as separators**.  
+
+This dataset is also available at Zenodo: **https://doi.org/10.5281/zenodo.16882351**  
+
+We only change file extension from .corpus to .csv and add header row here for HuggingFace's dataset viewer function  
+
+👉 This cleaned corpus is derived from a larger MySQL database used to store raw text during the data collection stage.  
+If you need the original database for reprocessing or reproduction, please refer to:  
+https://huggingface.co/datasets/IKMLab-team/hk_content_corpus_mysql  
+
+### Files
+
+| Filename                               | Description                        | SHA256 hash (without header row, same content as corpus file@Zenodo) |
+|----------------------------------------|------------------------------------|----------------------------------------------------------------------|
+| `appledaily_article_dedup.csv`         | Apple Daily news articles          | `0b6ad22b7a73230fd0e44af904c0cff1773cc871417f6ad3af11a783564bca15`   |
+| `hkcitizenmedia_article_dedup.csv`     | HK Citizen Media articles          | `373a5b369d5e402e58760861e2bff2e618e7ee7fd4494988a39be1156f9dba84`   |
+| `hkcnews_article_dedup.csv`            | Hong Kong Citizen News             | `67f909cfaf7d7a67df1dc79448f24622ec525a31b73b2e3293fbaad147470e69`   |
+| `inmedia_article_dedup.csv`            | InMedia.hk articles                | `135251f3e8ba7587018b7b2814b9ea5bbebf69c98adca73d3ea4c9f9b5571957`   |
+| `lihkg_posts_dedup_demoji_128.csv`     | Lihkg forum posts (emoji removed)  | `8e5e6de9c219aeccdaf13e9162b00cce2eeb7f595023a7bf19d4b5660395a3ee`   |
+| `openrice_review_dedup_demoji.csv`     | OpenRice user reviews              | `dd5835a7effe49bb96a31e0c0eab43dea17ef23b3e1d9cefdc186aca276897ce`   |
+| `thestandnews_article_dedup.csv`       | Stand News articles                | `847ef0f5809481caf4bf21100e4b34207513d724dafb9f42b162ef49079e7dba`   |
+| `wiki_hk.csv`                          | Wikipedia (zh-hk)                  | `bd33008802797b33df8484cf1113be6a0b38547fe13515f5c4edbf4ccad270db`   |
+
+## Intended Uses
+
+- Language model pretraining and finetuning  
+- Hong Kong Cantonese/Traditional Chinese linguistic modeling  
+- Downstream tasks such as classification or generation
+
+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 dataset, please cite the following paper:
+
+```bibtex
+@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 dataset DOI:
+
+```bibtex
+@dataset{yung_2025_16882351,
+  author       = {Yung, Yiu Cheong},
+  title        = {HK Content Corpus (Cantonese \& Traditional Chinese)},
+  month        = aug,
+  year         = 2025,
+  publisher    = {Zenodo},
+  doi          = {10.5281/zenodo.16882351},
+  url          = {https://doi.org/10.5281/zenodo.16882351},
+}
+```

appledaily_article_dedup.csv

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+size 3143931893

hkcitizenmedia_article_dedup.csv

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+size 1957073

hkcnews_article_dedup.csv

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inmedia_article_dedup.csv

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lihkg_posts_dedup_demoji_128.csv

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openrice_review_dedup_demoji.csv

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+size 1572247640

thestandnews_article_dedup.csv

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wiki_hk.csv

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