feat: add dataset script

dataset_script.py

@@ -1,10 +1,7 @@
-# dataset_script.py
-
 import json
 import datasets
 
-_CITATION = ""
-_DESCRIPTION = "Yzint drug dataset with entities and relations."
+_DESCRIPTION = "Chinese drug KG with two configs: entities and relations."
 
 class DrugDatasetConfig(datasets.BuilderConfig):
     def __init__(self, **kwargs):
@@ -12,8 +9,16 @@ class DrugDatasetConfig(datasets.BuilderConfig):
 
 class DrugDataset(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
-        DrugDatasetConfig(name="entities", version=datasets.Version("1.0.0"), description="Drug entities"),
-        DrugDatasetConfig(name="relations", version=datasets.Version("1.0.0"), description="Drug relations"),
+        DrugDatasetConfig(
+            name="entities",
+            version=datasets.Version("1.0.0"),
+            description="Drug entities (code, name, type, description)"
+        ),
+        DrugDatasetConfig(
+            name="relations",
+            version=datasets.Version("1.0.0"),
+            description="Relations (source, target, relationship, sourceName, targetName)"
+        ),
     ]
 
     def _info(self):
@@ -24,7 +29,7 @@ class DrugDataset(datasets.GeneratorBasedBuilder):
                 "type": datasets.Value("string"),
                 "description": datasets.Value("string"),
             })
-        else: # relations
+        else:
             features = datasets.Features({
                 "source": datasets.Value("int64"),
                 "target": datasets.Value("int64"),
@@ -35,22 +40,19 @@ class DrugDataset(datasets.GeneratorBasedBuilder):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=features,
-            citation=_CITATION,
         )
 
     def _split_generators(self, dl_manager):
         if self.config.name == "entities":
-            data_path = dl_manager.download_and_extract("entities.jsonl")
+            path = dl_manager.download_and_extract("entities.jsonl")
         else:
-            data_path = dl_manager.download_and_extract("relations.jsonl")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": data_path},
-            ),
-        ]
+            path = dl_manager.download_and_extract("relations.jsonl")
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": path})]
 
     def _generate_examples(self, filepath):
         with open(filepath, "r", encoding="utf-8") as f:
             for i, line in enumerate(f):
+                line = line.strip()
+                if not line:
+                    continue
                 yield i, json.loads(line)