Update dbp15k-fr-en.py

dbp15k-fr-en.py

@@ -1,8 +1,7 @@
 import datasets
 import os
 
-class EntityAlignmentConfig(datasets.BuilderConfig):
-    """BuilderConfig for SuperGLUE."""
+class Dbp15kFrEnConfig(datasets.BuilderConfig):
 
     def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
         """BuilderConfig for SuperGLUE.
@@ -24,7 +23,7 @@ class EntityAlignmentConfig(datasets.BuilderConfig):
         #        the full release (v2.0).
         # 1.0.0: S3 (new shuffling, sharding and slicing mechanism).
         # 0.0.2: Initial version.
-        super(EntityAlignmentConfig, self).__init__(version=datasets.Version("1.0.3"), **kwargs)
+        super(Dbp15kFrEnConfig, self).__init__(version=datasets.Version("1.0.3"), **kwargs)
         self.features = features
         self.label_classes = label_classes
         self.data_url = data_url
@@ -32,24 +31,29 @@ class EntityAlignmentConfig(datasets.BuilderConfig):
         self.url = url
 
 
-class EntityAlignment(datasets.GeneratorBasedBuilder):
-    """The SuperGLUE benchmark."""
+class DBP15KFREN(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = [
-        EntityAlignmentConfig(
+        Dbp15kFrEnConfig(
             name="source",
             features=["column1", "column2", "column3"],
-            data_url="https://www.dropbox.com/s/j55ly9i7w7t4tnn/dbp15k-fr-en-src.zip"
+            citation="TODO",
+            url="TODO",
+            data_url="https://huggingface.co/datasets/matchbench/dbp15k-fr-en/resolve/main/dbp15k-fr-en-src.zip"
         ),
-        EntityAlignmentConfig(
+        Dbp15kFrEnConfig(
             name="target",
             features=["column1", "column2", "column3"],
-            data_url="https://www.dropbox.com/s/eo2huntzhfti1p1/dbp15k-fr-en-tgt.zip"
+            citation="TODO",
+            url="TODO",
+            data_url="https://huggingface.co/datasets/matchbench/dbp15k-fr-en/resolve/main/dbp15k-fr-en-tgt.zip"
         ),
-        EntityAlignmentConfig(
+        Dbp15kFrEnConfig(
             name="pairs",
             features=["left_id", "right_id"],
-            data_url="https://www.dropbox.com/s/5lhkfka1imuum1o/dbp15k-fr-en-pairs.zip"
+            citation="TODO",
+            url="TODO",
+            data_url="https://huggingface.co/datasets/matchbench/dbp15k-fr-en/resolve/main/dbp15k-fr-en-pairs.zip"
         ),
     ]
 
@@ -83,7 +87,7 @@ class EntityAlignment(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name="attr_triples",
                 gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "attr_triples_1"),
+                    "data_file": os.path.join(dl_dir, "att_triples_1"),
                     "split": "attr_triples",
                 },
             ),
@@ -114,7 +118,7 @@ class EntityAlignment(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name="attr_triples",
                 gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "attr_triples_2"),
+                    "data_file": os.path.join(dl_dir, "att_triples_2"),
                     "split": "attr_triples",
                 },
             ),
@@ -149,21 +153,31 @@ class EntityAlignment(datasets.GeneratorBasedBuilder):
         f = open(data_file,"r",encoding='utf-8')
         data = f.readlines()
         for i in range(len(data)):
-            row = data[i].strip('\n').split('\t')
+            #print(row)
             if self.config.name in ["source", "target"]:
                 if split in ["ent_ids","rel_ids"]:
+                    row = data[i].strip('\n').split('\t')
                     yield i, {
                                 "column1": row[0],
                                 "column2": row[1],
                                 "column3": None
                             }
+                elif split in ["rel_triples"]:
+                    row = data[i].strip('\n').split('\t')
+                    yield i, {
+                                "column1": row[0],
+                                "column2": row[1],
+                                "column3": row[2]
+                            }
                 else:
+                    row = data[i].strip('\n').split(' ')
                     yield i, {
                                 "column1": row[0],
                                 "column2": row[1],
                                 "column3": row[2]
                             }
             if self.config.name == "pairs":
+                row = data[i].strip('\n').split('\t')
                 yield i, {
                             "left_id": row[0],
                             "right_id": row[1]