Create persian-conversational-dataset.py

persian-conversational-dataset.py

@@ -0,0 +1,75 @@
+# dadrah_dataset.json
+"""TODO(empathetic_dialogues): Add a description here."""
+
+
+import csv
+
+import datasets
+
+
+_DESCRIPTION = """\
+persian-conversational-dataset
+"""
+_URL = "https://dl.fbaipublicfiles.com/parlai/empatheticdialogues/empatheticdialogues.tar.gz"
+
+
+class persianDialogues(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # TODO(empathetic_dialogues): Specifies the datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "title": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "answers": datasets.Value("list"),
+                    "keywords": datasets.Value("list"),
+                    # These are the features of your dataset like images, labels ...
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(empathetic_dialogues): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"files": ["dadrah_dataset.json"], "split_file": "dadrah_dataset.json"},
+            ),
+        ]
+
+    def _generate_examples(self, files, split_file):
+        """Yields examples."""
+        for path, f in files:
+            if split_file == path:
+                with open(split_file, 'r', encoding='utf-8') as fmm:
+                    data=json.load(fmm)
+                for id_, row in enumerate(data):
+                    title=row[0]
+                    question=row[1]
+                    answers=row[2]
+                    keywords=row[3]
+                    if id_==20:
+                        break;
+                    yield id_, {
+                        "title": title,
+                        "question": question,
+                        "answers": answers,
+                        "keywords": keywords,
+                    }
+                    
+                break