load_script

loading_script.py

@@ -0,0 +1,109 @@
+
+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# 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.
+"""PsyQA dataset."""
+
+
+import json
+import os
+
+import datasets
+
+
+
+_DESCRIPTION = """ FutureWarning
+"""
+_CITATION = """ null """
+_URLs = {
+    "train": "https://huggingface.co/datasets/siyangliu/PsyQA/resolve/main/train.json",
+    "valid": "https://huggingface.co/datasets/siyangliu/PsyQA/resolve/main/valid.json",
+    "test": "https://huggingface.co/datasets/siyangliu/PsyQA/resolve/main/test.json",
+}
+
+
+class PsyQA(datasets.GeneratorBasedBuilder):
+    """PsyQA dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="plain_text",
+            description="Plain text",
+            version=VERSION,
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "question": datasets.Value("string"),
+                    "questionID": datasets.Value("int16"),
+                    "description": datasets.Value("string"),
+                    "keywords": datasets.Value("string"),
+                    "answer": datasets.Value("string"),
+                    "has_label": datasets.Value("bool"),
+                    "label_sequence":datasets.features.Sequence(
+                        {
+                            "start": datasets.Value("int16"),
+                            "end": datasets.Value("int16"),
+                            "type": datasets.Value("string"),
+                        }
+                    ),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://huggingface.co/datasets/siyangliu/PsyQA",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_URLs)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir["train"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": data_dir["test"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": data_dir["valid"],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, input_filepath, label_filepath=None):
+        """Yields examples."""
+        with open(input_filepath, encoding="utf-8") as input_file:
+            dataset = json.load(input_file)
+            idx = 0 
+            for meta_data in dataset:
+                for ans in meta_data["answers"]:
+                    yield idx, {"question": meta_data["question"], "description": meta_data["description"], "keywords": meta_data["keywords"], "answer": ans["answer_text"], \
+                        "label_sequence": ans["label_sequence"], "questionID": meta_data["questionID"], "has_label": meta_data["has_label"],}
+                    idx += 1
+        
+