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habr.jsonl.zst → IlyaGusev--habr_ru/json-train-00000-of-00008.parquet

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README.md

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----
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: meta
-    struct:
-    - name: id
-      dtype: uint32
-    - name: time_published
-      dtype: uint64
-    - name: title
-      dtype: string
-    - name: author
-      dtype: string
-    - name: statistics
-      struct:
-      - name: commentsCount
-        dtype: uint32
-      - name: favoritesCount
-        dtype: uint32
-      - name: readingCount
-        dtype: uint32
-      - name: score
-        dtype: int32
-      - name: votesCount
-        dtype: int32
-      - name: votesCountPlus
-        dtype: int32
-      - name: votesCountMinus
-        dtype: int32
-  splits:
-  - name: train
-    num_bytes: 3734746780
-    num_examples: 296802
-  download_size: 1084715944
-  dataset_size: 3734746780
-task_categories:
-- text-generation
-language:
-- ru
----
-
-# Habrahabr dataset

habr.py

@@ -1,93 +0,0 @@
-# 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
-"""Habrahabr 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 = "Habrahabr dataset"
-_URL = "habr.jsonl.zst"
-
-
-class RuLMDataset(datasets.GeneratorBasedBuilder):
-    """Habrahabr 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"),
-                "meta": {
-                    "id": datasets.Value("uint32"),
-                    "time_published": datasets.Value("uint64"),
-                    "title": datasets.Value("string"),
-                    "author": datasets.Value("string"),
-                    "statistics": {
-                        "commentsCount": datasets.Value("uint32"),
-                        "favoritesCount": datasets.Value("uint32"),
-                        "readingCount": datasets.Value("uint32"),
-                        "score": datasets.Value("int32"),
-                        "votesCount": datasets.Value("int32"),
-                        "votesCountPlus": datasets.Value("int32"),
-                        "votesCountMinus": datasets.Value("int32")
-                    }
-                }
-            }
-        )
-        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_, {"text": item["text"], "meta": item["meta"]}