revised working version

csfever_v2.py

@@ -50,7 +50,8 @@ _URLS = {
                  "test": "./precision/test.jsonl"},
     "07": {"train": "./07/train.jsonl",
                  "dev" : "./07/dev.jsonl",
-                 "test": "./07/test.jsonl"}
+                 "test": "./07/test.jsonl"},
+    "wiki": "./wiki_pages/wiki_pages.jsonl"
 }
 
 _ORIGINAL_DESCRIPTION = ""
@@ -95,6 +96,11 @@ class CsFEVERv2(datasets.GeneratorBasedBuilder):
             version=VERSION,
             description=_ORIGINAL_DESCRIPTION
         ),
+        datasets.BuilderConfig(
+            name="wiki_pages",
+            version=VERSION,
+            description=_ORIGINAL_DESCRIPTION
+        ),
     ]
 
     DEFAULT_CONFIG_NAME = "original"  # It's not mandatory to have a default configuration. Just use one if it make sense.
@@ -113,6 +119,17 @@ class CsFEVERv2(datasets.GeneratorBasedBuilder):
                     # These are the features of your dataset like images, labels ...
                 }
             )
+        elif self.config.name == "wiki_pages":
+            features = datasets.Features(
+                {
+                    "id": datasets.Value("int32"),
+                    "revid": datasets.Value("int32"),
+                    "url": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    # These are the features of your dataset like images, labels ...
+                }
+            )
         else:  # This is an example to show how to have different features for "first_domain" and "second_domain"
             features = datasets.Features(
                 {
@@ -148,32 +165,42 @@ class CsFEVERv2(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         urls = _URLS[self.config.name]
         data_dir = dl_manager.download_and_extract(urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir["train"],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir["dev"],
-                    "split": "dev",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir["test"],
-                    "split": "test"
-                },
-            ),
-        ]
+        if self.config.name == "wiki_pages":
+            return datasets.SplitGenerator(
+                name="wiki_pages",
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": data_dir,
+                        "split": "wiki_pages",
+                    },
+            )
+        else:
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": data_dir["train"],
+                        "split": "train",
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": data_dir["dev"],
+                        "split": "dev",
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": data_dir["test"],
+                        "split": "test"
+                    },
+                ),
+            ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath, split):
@@ -192,6 +219,14 @@ class CsFEVERv2(datasets.GeneratorBasedBuilder):
                         "claim": data_point["claim"],
                         "evidence": data_point["evidence"],
                     }
+                elif self.config.name == "wiki_pages":
+                    yield key, {
+                        "id": data_point["id"],
+                        "revid": data_point["revid"],
+                        "url": data_point["url"],
+                        "title": data_point["title"],
+                        "text": data_point["text"],
+                    }
                 else:
                     yield key, {
                         "id": data_point["id"],