Update semi-text-c.py

semi-text-c.py

@@ -1,7 +1,7 @@
 import os
 import datasets
 import pandas as pd
-
+import json
 
 class semiTextcConfig(datasets.BuilderConfig):
     def __init__(self, features, data_url, **kwargs):
@@ -21,6 +21,21 @@ class semiTextc(datasets.GeneratorBasedBuilder):
             },
             data_url="https://huggingface.co/datasets/matchbench/semi-Text-c/resolve/main/",
         ),
+        semiTextcConfig(
+            name="source",
+            features={
+                "content": datasets.Value("string"),
+            },
+            data_url="https://huggingface.co/datasets/matchbench/semi-homo/resolve/main/left.json",
+        ),
+
+        semiTextcConfig(
+            name="target",
+            features={
+                "content": datasets.Value("string"),
+            },
+            data_url="https://huggingface.co/datasets/matchbench/semi-homo/resolve/main/right.txt",
+        ),
     ]
 
     def _info(self):
@@ -41,11 +56,32 @@ class semiTextc(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, {
+                    "content": file[i]
+                }
+        elif split in ['source']:
+            with open(path_file, "r") as f:
+                file = json.load(f)
+            for i in range(len(file)):
+                yield i, {
+                    "content": file[i]
+                }
+        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"],