dataset loading script

csl.py

@@ -0,0 +1,40 @@
+import gzip
+import json
+import datasets
+
+_URLS = {
+  "csl": "https://huggingface.co/datasets/neuclir/neumarco/resolve/main/data/csl.jsonl.gz"
+}
+
+class Csl(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features({
+              "doc_id": datasets.Value("string"),
+              "title": datasets.Value("string"),
+              "abstract": datasets.Value("string"),
+              "keywords": datasets.Sequence(feature=datasets.Value("string"), length=-1),
+              "category": datasets.Value("string"),
+              "category_zho": datasets.Value("string"),
+              "discipline": datasets.Value("string"),
+              "discipline_zho": datasets.Value("string"),
+            }),
+        )
+
+    def _split_generators(self, dl_manager):
+        paths = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name='csl',
+                gen_kwargs={
+                    "filepath": paths['csl'],
+                })
+        ]
+
+    def _generate_examples(self, filepath):
+        with gzip.open(filepath) as f:
+            for key, row in enumerate(f):
+                data = json.loads(row)
+                yield key, data