remove dataset.py and update README

README.md

@@ -42,20 +42,20 @@ pretty_name: Hong Kong content-based (Cantonese & Traditional Chinese) text corp
 This dataset contains eight cleaned source-specific corpora of Hong Kong Cantonese and Traditional Chinese text, crawled from public websites and platforms.  
 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.16882352  
-We only change file extension from .corpus to .csv here for HuggingFace's dataset viewer function  
+We only change file extension from .corpus to .csv and add header row here for HuggingFace's dataset viewer function  
 
 ### Files
 
-| Filename                                   | Description                        | SHA256 checksum                                                    |
-|--------------------------------------------|------------------------------------|--------------------------------------------------------------------|
-| `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` |
+| 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
 

dataset.py

@@ -1,50 +0,0 @@
-import datasets
-
-_DESCRIPTION = "Cleaned Hong Kong Cantonese / Traditional Chinese corpora from multiple sources."
-_HOMEPAGE = "https://huggingface.co/datasets/SolarisCipher/hk_content_corpus"
-_CORPUS_FILES = {
-    "appledaily_article": "appledaily_article_dedup.txt",
-    "hkcitizenmedia_article": "hkcitizenmedia_article_dedup.txt",
-    "hkcnews_article": "hkcnews_article_dedup.txt",
-    "inmedia_article": "inmedia_article_dedup.txt",
-    "lihkg_posts": "lihkg_posts_dedup_demoji_128.txt",
-    "openrice_review": "openrice_review_dedup_demoji.txt",
-    "thestandnews_article": "thestandnews_article_dedup.txt",
-    "wiki_hk": "wiki_hk.txt",
-}
-
-class HKContentCorpus(datasets.GeneratorBasedBuilder):
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({"text": datasets.Value("string")}),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation="",
-        )
-
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=split_name,
-                gen_kwargs={"filepath": filepath},
-            )
-            for split_name, filepath in _CORPUS_FILES.items()
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            buffer = []
-            example_id = 0
-            for line in f:
-                line = line.strip()
-                if line:
-                    buffer.append(line)
-                else:
-                    if buffer:
-                        yield example_id, {"text": "\n".join(buffer)}
-                        example_id += 1
-                        buffer = []
-            if buffer:
-                yield example_id, {"text": "\n".join(buffer)}