Update semi-rel.py

semi-rel.py

@@ -1,6 +1,7 @@
 import os
 import datasets
 import pandas as pd
+import json
 
 
 class semiRelConfig(datasets.BuilderConfig):
@@ -21,6 +22,27 @@ class semiRel(datasets.GeneratorBasedBuilder):
             },
             data_url="https://huggingface.co/datasets/matchbench/semi-Rel/resolve/main/",
         ),
+        semiRelConfig(
+            name="source",
+            features={
+                 "id": datasets.Value("string"),
+                "title": datasets.Value("string"),
+                "director": datasets.Value("string"),
+                "actors": datasets.Value("string"),
+	       "year": datasets.Value("string"),
+ 	       "rating": datasets.Value("string"),
+                 "information": datasets.Value("string"),
+            },
+            data_url="https://huggingface.co/datasets/matchbench/semi-Rel/resolve/main/left.csv",
+        ),
+
+        semiRelConfig(
+            name="target",
+            features={
+                "content": datasets.Value("string"),
+            },
+            data_url="https://huggingface.co/datasets/matchbench/semi-Rel/resolve/main/right.json",
+        ),
     ]
 
     def _info(self):
@@ -42,13 +64,45 @@ class semiRel(datasets.GeneratorBasedBuilder):
                 for split in ["train", "valid", "test"]
             ]
 
+        if self.config.name == "source":
+            return [datasets.SplitGenerator(name="source", gen_kwargs={
+                "path_file": dl_manager.download_and_extract(self.config.data_url), "split": "source", })]
+
+        if self.config.name == "target":
+            return [datasets.SplitGenerator(name="target", gen_kwargs={
+                "path_file": dl_manager.download_and_extract(self.config.data_url), "split": "target", })]
+
     def _generate_examples(self, path_file, split):
-        file = pd.read_csv(path_file)
-        for i, row in file.iterrows():
-            if split  in ['train', 'valid','test']:
+        if split in [‘target']:
+            with open(path_file, "r") as f:
+                file = json.load(f)
+            for i in range(len(file)):
                 yield i, {
-                    "ltable_id": row["ltable_id"],
-                    "rtable_id": row["rtable_id"],
-                    "label": row["label"],
+                    "content": file[i]
                 }
+        elif split in [‘source’]:
+            file = pd.read_csv(path_file)
+            for i, row in file.iterrows():
+                    yield i, {
+                        "id": row["id"],
+                        "title": row["title"],
+                        "director": row["director"],
+                        "actors": row["actors"],
+                        "year": row["year"],
+                        "rating": row["rating"],
+                        "information": row["information"],
+
+
+
+                    }
+    	else:
+            file = pd.read_csv(path_file)
+            for i, row in file.iterrows():
+                    yield i, {
+                        "ltable_id": row["ltable_id"],
+                        "rtable_id": row["rtable_id"],
+                        "label": row["label"],
+                    }
+
+