Upload dataset and loading script

README.md

@@ -1,3 +1,71 @@
 ---
-license: cc0-1.0
+annotations_creators:
+- crowdsourced
+language:
+- ru
+language_creators:
+- crowdsourced
+license:
+- cc0-1.0
+multilinguality:
+- monolingual
+pretty_name: Habr QnA
+size_categories:
+- 100K<n<1M
+source_datasets:
+- original
+tags: []
+task_categories:
+- text-generation
+- question-answering
+task_ids:
+- language-modeling
+- open-domain-qa
 ---
+
+# Dataset Card for Habr QnA
+
+## Table of Contents
+- [Dataset Card for Habr QnA](#dataset-card-for-habr-qna)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Fields](#data-fields)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+
+## Dataset Description
+
+- **Repository:** https://github.com/its5Q/habr-qna-parser
+
+### Dataset Summary
+
+This is a dataset of questions and answers scraped from [Habr QnA](https://qna.habr.com/). There are 723430 asked questions with answers, comments and other metadata. 
+
+### Languages
+
+The dataset is mostly Russian with source code in different languages.
+
+## Dataset Structure
+
+### Data Fields
+
+Data fields can be previewed on the dataset card page.www
+
+### Data Splits
+
+All 723430 examples are in the train split, there is no validation split.
+
+## Dataset Creation
+
+The data was scraped with a script, located in [my GitHub repository](https://github.com/its5Q/habr-qna-parser)
+
+## Additional Information
+
+### Dataset Curators
+
+- https://github.com/its5Q

habr_qna.py

@@ -0,0 +1,102 @@
+# coding=utf-8
+# Copyright 2023 The HuggingFace Datasets Authors and Ilya Gusev
+# Modified by its5Q
+#
+# 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.
+
+# Lint as: python3
+import os
+import io
+
+import zstandard
+import jsonlines
+import datasets
+
+try:
+    import simdjson
+    parser = simdjson.Parser()
+    def parse_json(x):
+        try:
+            return parser.parse(x).as_dict()
+        except ValueError:
+            return
+except ImportError:
+    import json
+    def parse_json(x):
+        return json.loads(x)
+
+
+_DESCRIPTION = "Habr QnA Dataset"
+_URL = "questions.jsonl.zst"
+
+
+class YandexQFullDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.0.1")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="default", version=VERSION, description=""),
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("int32"),
+                "author": datasets.Value("string"),
+                "title": datasets.Value("string"),
+                "description": datasets.Value("string"),
+                "tags": datasets.Sequence(feature=datasets.Value("string")),
+                "posted_at": datasets.Value("string"),
+                "view_count": datasets.Value("int32"),
+                "subscribers_count": datasets.Value("int32"),
+                "complexity": datasets.Value("string"),
+                "complexity_votes": datasets.Value("int32"),
+                "comments": datasets.Sequence(feature={
+                    "author": datasets.Value("string"),
+                    "posted_at": datasets.Value("string"),
+                    "body": datasets.Value("string")
+                }),
+                "answers": datasets.Sequence(feature={
+                    "id": datasets.Value("int32"),
+                    "author": datasets.Value("string"),
+                    "posted_at": datasets.Value("string"),
+                    "body": datasets.Value("string"),
+                    "accepted": datasets.Value("bool"),
+                    "upvote_count": datasets.Value("int32"),
+                    "comments": datasets.Sequence(feature={
+                        "author": datasets.Value("string"),
+                        "posted_at": datasets.Value("string"),
+                        "body": datasets.Value("string")
+                    })
+                })
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_file = dl_manager.download(_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"path": downloaded_file}),
+        ]
+
+    def _generate_examples(self, path):
+        with open(path, "rb") as f:
+            cctx = zstandard.ZstdDecompressor()
+            reader_stream = io.BufferedReader(cctx.stream_reader(f))
+            reader = jsonlines.Reader(reader_stream, loads=parse_json)
+            for id_, item in enumerate(reader):
+                yield id_, item

questions.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a34f33c4bdccf86b79878b379a8f1cbad0215c6b184fe0b9812a16f3c0947caa
+size 499909503