feat

VieGLUE.py

@@ -111,6 +111,10 @@ _DOWNLOAD_URL = {
         "test": [os.path.join("data", "vsmec", "test.tar.gz")],
         "validation": [os.path.join("data", "vsmec", "valid.tar.gz")],
     },
+    "vtoc": {
+        "train": [os.path.join("data", "vtoc", "train.tar.gz")],
+        "validation": [os.path.join("data", "vtoc", "validation.tar.gz")],
+    },
 }
 
 SUBSET_KWARGS = {
@@ -455,10 +459,34 @@ predictions for this dataset."""
             """a standard Vietnamese Social Media Emotion Corpus (UIT-VSMEC) with exactly 6,927 emotion-annotated sentences, contributing to emotion recognition research in Vietnamese"""
         ),
     },
+    "vtoc": {
+        "name": "vtoc",
+        "text_features": ["sentence"],
+        "label_classes": [
+            "Automobile",
+            "Business",
+            "Digital",
+            "Education",
+            "Entertainment",
+            "Health",
+            "Law",
+            "Life",
+            "News",
+            "Perspective",
+            "Relax",
+            "Science",
+            "Sports",
+            "Travel",
+            "World",
+        ],
+        "label_column": "label",
+        "citation": textwrap.dedent(""""""),
+        "description": textwrap.dedent(""""""),
+    },
 }
 
 
-_VERSION = datasets.Version("1.1.0", "")
+_VERSION = datasets.Version("1.2.0", "")
 
 
 class VieGLUEConfig(datasets.BuilderConfig):

data/vtoc/train.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b12205bcd7ceae4227d903a14e02f5d21cfb3ebc3dd6e82513e31a7180a85c9a
+size 431905

data/vtoc/validation.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f759ff10c3b8d399a9b288b76b73314f9ebd775c7cd72134714ff4608efd270
+size 115235