Init

.gitattributes

@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+ru_stackoverflow.jsonl.zst filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,73 @@
 ---
 license: other
+dataset_info:
+  features:
+  - name: question_id
+    dtype: uint32
+  - name: url
+    dtype: string
+  - name: answer_count
+    dtype: uint32
+  - name: text_html
+    dtype: string
+  - name: text_markdown
+    dtype: string
+  - name: score
+    dtype: int32
+  - name: title
+    dtype: string
+  - name: tags
+    sequence: string
+  - name: views
+    dtype: uint64
+  - name: author
+    dtype: string
+  - name: timestamp
+    dtype: uint64
+  - name: comments
+    sequence:
+    - name: text
+      dtype: string
+    - name: author
+      dtype: string
+    - name: comment_id
+      dtype: uint32
+    - name: score
+      dtype: int32
+    - name: timestamp
+      dtype: uint64
+  - name: answers
+    sequence:
+    - name: answer_id
+      dtype: uint32
+    - name: is_accepted
+      dtype: uint8
+    - name: text_html
+      dtype: string
+    - name: text_markdown
+      dtype: string
+    - name: score
+      dtype: int32
+    - name: author
+      dtype: string
+    - name: timestamp
+      dtype: uint64
+    - name: comments
+      sequence:
+      - name: text
+        dtype: string
+      - name: author
+        dtype: string
+      - name: comment_id
+        dtype: uint32
+      - name: score
+        dtype: int32
+      - name: timestamp
+        dtype: uint64
+  splits:
+  - name: train
+    num_bytes: 3013377174
+    num_examples: 437604
+  download_size: 670468664
+  dataset_size: 3013377174
 ---

ru_stackoverflow.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3f6eda2b3df7de1d3cc4a45ce2e69bb1e439b7736cd8d81e911129bd512dab9
+size 670468664

ru_stackoverflow.py

@@ -0,0 +1,109 @@
+# coding=utf-8
+# Copyright 2023 The HuggingFace Datasets Authors and Ilya Gusev
+#
+# 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
+"""Russian StackOverflow dataset"""
+
+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 = "Russian StackOverflow dataset"
+_URL = "ru_stackoverflow.jsonl.zst"
+
+
+class RuStackOverflowDataset(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(
+            {
+                "question_id": datasets.Value("uint32"),
+                "url": datasets.Value("string"),
+                "answer_count": datasets.Value("uint32"),
+                "text_html": datasets.Value("string"),
+                "text_markdown": datasets.Value("string"),
+                "score": datasets.Value("int32"),
+                "title": datasets.Value("string"),
+                "tags": datasets.Sequence(datasets.Value("string")),
+                "views": datasets.Value("uint64"),
+                "author": datasets.Value("string"),
+                "timestamp": datasets.Value("uint64"),
+                "comments": datasets.Sequence(feature={
+                    "text": datasets.Value("string"),
+                    "author": datasets.Value("string"),
+                    "comment_id": datasets.Value("uint32"),
+                    "score": datasets.Value("int32"),
+                    "timestamp": datasets.Value("uint64")
+                }),
+                "answers": datasets.Sequence(feature={
+                    "answer_id": datasets.Value("uint32"),
+                    "is_accepted": datasets.Value("uint8"),
+                    "text_html": datasets.Value("string"),
+                    "text_markdown": datasets.Value("string"),
+                    "score": datasets.Value("int32"),
+                    "author": datasets.Value("string"),
+                    "timestamp": datasets.Value("uint64"),
+                    "comments": datasets.Sequence(feature={
+                        "text": datasets.Value("string"),
+                        "author": datasets.Value("string"),
+                        "comment_id": datasets.Value("uint32"),
+                        "score": datasets.Value("int32"),
+                        "timestamp": datasets.Value("uint64")
+                    })
+                })
+            }
+        )
+        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