Update xnli.py

xnli.py

@@ -86,36 +86,16 @@ class Xnli(datasets.GeneratorBasedBuilder):
             description=f"Plain text import of XNLI for the {lang} language",
         )
         for lang in _LANGUAGES
-    ] + [
-        XnliConfig(
-            name="all_languages",
-            language="all_languages",
-            version=datasets.Version("1.1.0", ""),
-            description="Plain text import of XNLI for all languages",
-        )
-    ]
-
+    ] 
     def _info(self):
-        if self.config.language == "all_languages":
-            features = datasets.Features(
-                {
-                    "premise": datasets.Translation(
-                        languages=_LANGUAGES,
-                    ),
-                    "hypothesis": datasets.TranslationVariableLanguages(
-                        languages=_LANGUAGES,
-                    ),
-                    "label": datasets.ClassLabel(names=["entailment", "neutral", "contradiction"]),
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "premise": datasets.Value("string"),
-                    "hypothesis": datasets.Value("string"),
-                    "label": datasets.ClassLabel(names=["entailment", "neutral", "contradiction"]),
-                }
-            )
+
+        features = datasets.Features(
+            {
+                "premise": datasets.Value("string"),
+                "hypothesis": datasets.Value("string"),
+                "label": datasets.ClassLabel(names=["entailment", "neutral", "contradiction"]),
+            }
+        
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=features,
@@ -136,15 +116,6 @@ class Xnli(datasets.GeneratorBasedBuilder):
         train_dir = os.path.join(dl_dirs["train_data"], "XNLI-MT-1.0", "multinli")
         testval_dir = os.path.join(dl_dirs["testval_data"], "XNLI-1.0")
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepaths": [
-                        os.path.join(train_dir, f"multinli.train.{lang}.tsv") for lang in self.config.languages
-                    ],
-                    "data_format": "XNLI-MT",
-                },
-            ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={"filepaths": [os.path.join(testval_dir, "xnli.test.tsv")], "data_format": "XNLI"},