add data loader

hc4.py

@@ -0,0 +1,44 @@
+import gzip
+import json
+import os
+import datasets
+
+_BASE_URL = "https://huggingface.co/datasets/neuclir/hc4/resolve/main/data/"
+_URLS = {
+    "fas": _BASE_URL + "fas-00000-of-00001.jsonl.gz",
+    "rus": _BASE_URL + "rus-00000-of-00001.jsonl.gz",
+    "zho": _BASE_URL + "zho-00000-of-00001.jsonl.gz",
+}
+
+
+class Neuclir1(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.1")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features({
+              "id": datasets.Value("string"),
+              "cc_file": datasets.Value("string"),
+              "time": datasets.Value("string"),
+              "title": datasets.Value("string"),
+              "text": datasets.Value("string"),
+              "url": datasets.Value("string"),
+            }),
+        )
+
+    def _split_generators(self, dl_manager):
+        paths = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=lang,
+                gen_kwargs={
+                    "filepath": paths[lang]
+                })
+            for lang in _URLS
+        ]
+
+    def _generate_examples(self, filepath):
+        with gzip.open(filepath, encoding="utf-8") as f:
+            for key, row in enumerate(f):
+                data = json.loads(row)
+                yield key, data