Initial commit

.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
+oasst1_ru_main_branch.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,18 @@
+---
+dataset_info:
+  features:
+  - name: messages
+    sequence:
+    - name: role
+      dtype: string
+    - name: content
+      dtype: string
+  - name: id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 2033912
+    num_examples: 760
+  download_size: 2108166
+  dataset_size: 2033912
+---

oasst1_ru_main_branch.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cf5fd8e93965c5273ec9e456b8491d6a41471b6c9e2b1368a30f2ab6feb3836
+size 2108166

oasst1_ru_main_branch.py

@@ -0,0 +1,64 @@
+# 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
+
+import os
+import io
+
+import datasets
+
+import json
+
+
+_DESCRIPTION = "Russian main branches from oasst1"
+_URL = "oasst1_ru_main_branch.jsonl"
+
+
+class OASST1RuMainBranchDataset(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(
+            {
+                "messages": datasets.Sequence(feature={
+                    "role": datasets.Value("string"),
+                    "content": datasets.Value("string")
+                }),
+                "id": 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, "r") as f:
+            for id_, line in enumerate(f):
+                item = json.loads(line)
+                yield id_, item