feat

VieGLUE.py

@@ -101,6 +101,12 @@ _DOWNLOAD_URL = {
     "vnrte": {
         "validation": [os.path.join("data", "vnrte", "validation.tar.gz")],
     },
+    "vsfc": {},
+    "vsmec": {
+        "train": [os.path.join("data", "vsmec", "train.tar.gz")],
+        "test": [os.path.join("data", "vsmec", "test.tar.gz")],
+        "validation": [os.path.join("data", "vsmec", "valid.tar.gz")],
+    },
 }
 
 SUBSET_KWARGS = {
@@ -398,10 +404,57 @@ predictions for this dataset."""
                 """
         ),  # pylint: disable=line-too-long
     },
+    "vsfc": {
+        "name": "vsfc",
+        "text_features": ["sentence"],
+        "label_classes": ["negative", "neutral", "positive"],
+        "label_column": "label",
+        "citation": textwrap.dedent(
+            """
+            @inproceedings{van2018uit,
+                title={UIT-VSFC: Vietnamese students’ feedback corpus for sentiment analysis},
+                author={Van Nguyen, Kiet and Nguyen, Vu Duc and Nguyen, Phu XV and Truong, Tham TH and Nguyen, Ngan Luu-Thuy},
+                booktitle={2018 10th international conference on knowledge and systems engineering (KSE)},
+                pages={19--24},
+                year={2018},
+                organization={IEEE}
+            }"""
+        ),
+        "description": textwrap.dedent(
+            """Vietnamese Students' Feedback Corpus (UIT-VSFC), a free and high-quality corpus for research on two different tasks: sentiment-based and topic-based classifications"""
+        ),
+    },
+    "vsmec": {
+        "name": "vsmec",
+        "text_features": ["sentence", "raw_sentence", "emotion"],
+        "label_classes": [
+            "Anger",
+            "Disgust",
+            "Enjoyment",
+            "Fear",
+            "Other",
+            "Sadness",
+            "Surprise",
+        ],
+        "label_column": "label",
+        "citation": textwrap.dedent(
+            """@inproceedings{ho2020emotion,
+                title={Emotion recognition for vietnamese social media text},
+                author={Ho, Vong Anh and Nguyen, Duong Huynh-Cong and Nguyen, Danh Hoang and Pham, Linh Thi-Van and Nguyen, Duc-Vu and Nguyen, Kiet Van and Nguyen, Ngan Luu-Thuy},
+                booktitle={Computational Linguistics: 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11--13, 2019, Revised Selected Papers 16},
+                pages={319--333},
+                year={2020},
+                organization={Springer}
+            }"""
+        ),
+        "description": textwrap.dedent(
+            """a standard Vietnamese Social Media Emotion Corpus (UIT-VSMEC) with exactly 6,927 emotion-annotated sentences, contributing to emotion recognition research in Vietnamese"""
+        ),
+    },
 }
 
 
-_VERSION = datasets.Version("1.0.0", "")
+_VERSION = datasets.Version("1.1.0", "")
 
 
 class VieGLUEConfig(datasets.BuilderConfig):

data/vsfc/dev.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:413473fa617621cb4ce7132f0635a691baacf04af5abdddadc75d3c9821bb5cb
+size 33746

data/vsfc/test.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f7e438335dba54b51f9cc07809d1b68bc95aa6e693b93837b551cf2bd3144b6
+size 70279

data/vsfc/train.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:be997def733dfa632a786a086fd8f555aa4bd75b0af2320836065609f5812d5a
+size 250192

data/vsmec/test.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4f55ab69337789c36c098f41aa545b9769e83573b6d069d09bbce4cc93366df0
+size 27999

data/vsmec/train.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a333d31ef22cf8b05731a04def1fb75360d91507fc6f54df627f356eb12ec383
+size 219677

data/vsmec/valid.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:59a2c6911701d0350cc92d3a1ba0726758f11c8e961df211dc655d5ca7093ad9
+size 28429