lfs for csv

.gitattributes

@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.ogg filter=lfs diff=lfs merge=lfs -text
 *.wav filter=lfs diff=lfs merge=lfs -text
 *.tsv filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

nlpcc_stance.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""NLPCC Shared Task 4, Stance Detection in Chinese Microblogs"""
+"""NLPCC Shared Task 4, Stance Detection in Chinese Microblogs (Task A)"""
 
 
 import csv
@@ -35,40 +35,30 @@ class NLPCCConfig(datasets.BuilderConfig):
     def __init__(self, **kwargs):
         super(NLPCCConfig, self).__init__(**kwargs)
 
-class XStance(datasets.GeneratorBasedBuilder):
-    """The x-stance dataset split into two datasets in German and French/Italian"""
+class NLPCCStance(datasets.GeneratorBasedBuilder):
+    """The NLPCC Shared Task 4 dataset regarding Stance Detection in Chinese Microblogs (Task A)"""
 
     VERSION = datasets.Version("1.0.0")
 
     BUILDER_CONFIGS = [
-        NLPCCConfig(name="task_a", version=VERSION, description=""),
-        NLPCCConfig(name="task_b", version=VERSION, description="")
+        NLPCCConfig(name="task_a", version=VERSION, description="Task A, the supervised learning task."),
     ]
     
     def _info(self):
-        if self.config.name == "task_a":
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "target": datasets.Value("string"),
-                    "text": datasets.Value("string"),
-                    "stance": datasets.features.ClassLabel(
-                        names=[
-                            "AGAINST",
-                            "FAVOR",
-                            "NONE",
-                        ]
-                    )
-                }
-            )
-        elif self.config.name == "task_b":
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "target": datasets.Value("string"),
-                    "text": datasets.Value("string"),
-                }
-            )
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "target": datasets.Value("string"),
+                "text": datasets.Value("string"),
+                "stance": datasets.features.ClassLabel(
+                    names=[
+                        "AGAINST",
+                        "FAVOR",
+                        "NONE",
+                    ]
+                )
+            }
+        )
 
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -79,12 +69,8 @@ class XStance(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        if self.config.name == "task_a":
-            train_text = dl_manager.download_and_extract("evasampledata4-TaskAA.tsv")
-            test_text  = dl_manager.download_and_extract("NLPCC2016_Stance_Detection_Task_A_Testdata.tsv")
-        elif self.config.name == "task_b":
-            train_text = dl_manager.download_and_extract("evasampledata4-TaskBR.tsv")
-            test_text  = dl_manager.download_and_extract("NLPCC2016_Stance_Detection_Task_B_Testdata.tsv")
+        train_text = dl_manager.download_and_extract("nlpcc_taska.csv")
+        test_text  = dl_manager.download_and_extract("NLPCC2016_Stance_Detection_Task_A_Testdata.tsv")
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN,      gen_kwargs={"filepath": train_text, "split": "train"}),
             datasets.SplitGenerator(name=datasets.Split.TEST,       gen_kwargs={"filepath": test_text,  "split": "test"}),
@@ -94,28 +80,11 @@ class XStance(datasets.GeneratorBasedBuilder):
         with open(filepath, encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter=",")
             guid = 0
-            if self.config.name == "task_a":
-                for instance in reader:
-                    instance["target"] = instance.pop("TARGET")
-                    instance["text"] = instance.pop("TEXT")
-                    instance["stance"] = instance.pop("STANCE")
-                    instance['id'] = str(guid)
-                    yield guid, instance
-                    guid += 1
-            elif self.config.name == "task_b":
-                if split == "train":
-                    for instance in reader:
-                        instance["target"] = instance.pop("TARGET")
-                        instance["text"] = instance.pop("TEXT")
-                        instance['id'] = str(guid)
-                        yield guid, instance
-                        guid += 1
-                else:
-                    for instance in reader:
-                        instance["target"] = instance.pop("TARGET")
-                        instance["text"] = instance.pop("TEXT")
-                        instance["stance"] = instance.pop("STANCE")
-                        instance['id'] = str(guid)
-                        yield guid, instance
-                        guid += 1
-                
+            for instance in reader:
+                print(f"At iteration: {guid}")
+                instance["target"] = instance.pop("TARGET")
+                instance["text"] = instance.pop("TEXT")
+                instance["stance"] = instance.pop("STANCE")
+                instance['id'] = str(guid)
+                yield guid, instance
+                guid += 1