initial dataloader

NLPCC2016_Stance_Detection_Task_A_Testdata.tsv

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+oid sha256:bda780fb9ec241f8c2d3fdb2d0ccfe24bead13e36a9d41455db045aa279f6a34
+size 3492261

NLPCC2016_Stance_Detection_Task_B_Testdata.tsv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:69fede318c337d49e0fbbe277aa66d25d3e7ce5451f4b3d56d47ae5126ec8492
+size 1850423

evasampledata4-TaskBR.tsv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f8dd4a444ee3c20a7236a23ee3bb9490b052f1a4d9b337697593312ed9b19bfd
+size 419068

nlpcc_stance.py

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+# Copyright 2022 Mads Kongsbak and Leon Derczynski
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# 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"""
+
+
+import csv
+import json
+import os
+
+import datasets
+
+_CITATION = """\
+"""
+
+_DESCRIPTION = """\
+"""
+
+_HOMEPAGE = ""
+
+_LICENSE = "cc-by-4.0"
+
+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"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        NLPCCConfig(name="task_a", version=VERSION, description=""),
+        NLPCCConfig(name="task_b", version=VERSION, description="")
+    ]
+    
+    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"),
+                }
+            )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    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")
+        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"}),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        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
+