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yandex-q.py

@@ -0,0 +1,61 @@
+"""Yandex.Q questions and answers dataset"""
+
+
+import json
+import gzip
+
+import datasets
+
+_DESCRIPTION = """\
+This is a dataset of questions and answers scraped from Yandex.Q.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/its5Q/yandex-q"
+
+_LICENSE = "cc0-1.0"
+
+# TODO: Add link to the official dataset URLs here
+# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_URLS = [
+    "https://huggingface.co/great-new-dataset-first_domain.zip"
+]
+
+
+class YandexQ(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "description": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "answer": datasets.Value("string")
+                }
+            ),
+            homepage=_HOMEPAGE,
+            license=_LICENSE
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir[0],
+                    "split": "train",
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with gzip.open(filepath, mode='rt', encoding="utf-8") as f:
+            for i, line in enumerate(f):
+                data = json.loads(line)
+                if data['description'] is None:
+                    data['description'] = ''
+                yield i, data
+