Initial version

.gitattributes

@@ -52,3 +52,7 @@ 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
+train.jsonl.zst filter=lfs diff=lfs merge=lfs -text
+validation.jsonl.zst filter=lfs diff=lfs merge=lfs -text
+test.jsonl.zst filter=lfs diff=lfs merge=lfs -text
+train/ filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,18 @@
+---
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 44765634773
+    num_examples: 11558373
+  - name: test
+    num_bytes: 225645511
+    num_examples: 58638
+  - name: validation
+    num_bytes: 227568446
+    num_examples: 58013
+  download_size: 14178680811
+  dataset_size: 45218848730
+---

rulm.py

@@ -0,0 +1,95 @@
+# 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
+"""RuLM: a dataset for Russian language modeling"""
+
+
+import os
+import io
+import zstandard
+import jsonlines
+
+import datasets
+
+try:
+    import simdjson as json
+except ImportError:
+    print('Installing simdjson library')
+    os.system('pip install -q pysimdjson')
+    import simdjson as json
+
+parser = json.Parser()
+
+def json_parser(x):
+    try:
+        line = parser.parse(x).as_dict()
+        return line
+    except ValueError:
+        return
+
+_DATASET_MODES = ["lm"]
+_TRAIN_SPLITS = 10
+_DESCRIPTION = "Dataset for Russian language modeling"
+_URLS = {
+    "train": ["train/{}.jsonl.zst".format(str(i).zfill(2)) for i in range(_TRAIN_SPLITS)],
+    "validation": "validation.jsonl.zst",
+    "test": "test.jsonl.zst"
+}
+_TEXT = "text"
+
+
+class RuLMDataset(datasets.GeneratorBasedBuilder):
+    """RuLM Dataset"""
+
+    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(
+            {
+                _TEXT: datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=(_TEXT,)
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"paths": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"paths": downloaded_files["test"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"paths": downloaded_files["validation"]}),
+        ]
+
+    def _generate_examples(self, paths):
+        if not isinstance(paths, list):
+            paths = [paths]
+        for filename in paths:
+            with open(filename, "rb") as f:
+                print(filename)
+                cctx = zstandard.ZstdDecompressor()
+                reader_stream = io.BufferedReader(cctx.stream_reader(f))
+                reader = jsonlines.Reader(reader_stream, loads=json_parser)
+                for id_, item in enumerate(reader):
+                    yield id_, {"text": item["text"]}

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