Duplicate from liwu/MNBVC

Co-authored-by: Silver <silver@users.noreply.huggingface.co>

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+*.pcm filter=lfs diff=lfs merge=lfs -text
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MNBVC.py

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+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# 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.
+"""
+MNBVC: Massive Never-ending BT Vast Chinese corpus
+"""
+
+import json
+import datasets
+import numpy as np
+import traceback
+from .meta import MNBVC_META
+from .features import Features
+
+
+_CITATION = """\
+"""
+
+_DESCRIPTION = """\
+MNBVC: Massive Never-ending BT Vast Chinese corpus
+"""
+
+_HOMEPAGE = "https://github.com/esbatmop/MNBVC"
+
+_LICENSE = "MIT"
+
+
+class MNBVC(datasets.GeneratorBasedBuilder):
+    """Massive Never-ending BT Vast Chinese corpus."""
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=key, version=datasets.Version("0.0.1"), description=value['description']) for key, value in MNBVC_META.items()]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=Features[MNBVC_META[self.config.name]['feature_type']],  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
+            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
+            # supervised_keys=("sentence", "label"),
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(MNBVC_META[self.config.name]['files'])
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_files": data_dir,
+                },
+            ),
+        ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, data_files):
+        id = 0
+        features = self._info().features
+        feature_keys = set(features.keys())
+
+        def _drop_unused_keys(data):
+            rm_keys = []
+            for key in data.keys():
+                if key not in feature_keys:
+                    rm_keys.append(key)
+            for key in rm_keys:
+                del data[key]
+            return data
+
+        try:
+            for file_i, data_file in enumerate(data_files):
+                with open(data_file, encoding="utf-8") as f:
+                    for line_i, line in enumerate(f):
+                        id += 1
+                        data = json.loads(line)
+                        if self.config.name == 'law_judgement':
+                            text = data['详情']
+                            del data['详情']
+                            yield id, {
+                                "text": text,
+                                "meta": json.dumps(data, ensure_ascii=False),
+                            }
+                        else:
+                            data = _drop_unused_keys(data)
+                            if 'simhash' in data:  # for issue https://github.com/huggingface/datasets/issues/6007
+                                data['simhash'] = str(data['simhash'])
+                            
+                            yield id, data
+        except Exception as e:
+            error_msg = 'oops, we find an error when loading the dataset\n'
+            error_msg += f'Dataset: {self.config.name}\n'
+            error_msg += f'Data File: {file_i} {data_file}\n'
+            error_msg += f'Row: {line_i}'
+            print(error_msg)
+            traceback.print_exc()
+
+            raise e

README.md

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+---
+annotations_creators:
+- other
+language:
+- zh
+language_creators:
+- other
+license:
+- mit
+multilinguality:
+- monolingual
+pretty_name: MNBVC
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- text-generation
+- fill-mask
+task_ids:
+- language-modeling
+- masked-language-modeling
+duplicated_from: liwu/MNBVC
+---
+
+# Dataset Card for MNBVC
+
+## Table of Contents
+- [Dataset Card for MNBVC](#dataset-card-for-mnbvc)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [数据集介绍](#数据集介绍)
+  - [数据子集](#数据子集)
+  - [数据格式](#数据格式)
+    - [文本数据](#文本数据)
+    - [问答数据](#问答数据)
+    - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** http://mnbvc.253874.net/
+- **Repository:** https://github.com/esbatmop/MNBVC
+- **Paper:** N/A
+- **Leaderboard:** N/A
+- **Point of Contact:** N/A
+
+### 数据集介绍
+
+中文互联网上最古老最神秘(没有之一)的里屋社区于2023.1.1庄重宣布:
+
+在英明神武的里屋管子带领下，决心发挥社区所长(哪都长)，帮助开源社区长期更新一份最大的中文互联网语料集。
+
+Huggingface上的MNBVC数据集在逐渐更新中，请到[https://github.com/esbatmop/MNBVC](https://github.com/esbatmop/MNBVC) 获取未完成清洗的更多数据。
+
+可以使用如下脚本加载：
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("liwu/MNBVC", 'law_judgement', split='train', streaming=True)
+
+next(iter(dataset))  # get the first line
+```
+
+
+## 数据子集
+
+MNBVC数据集包含数个子集：
+
+- `law_judgement`: 来自法律文书的文本。
+- `gov_xuexiqiangguo`: 来自学习强国的文本。
+- `gov_report`: 来自政府工作报告的文本。
+- `co_ann_report`: 企业年报文本。
+- `code_metadata`: 代码元数据。
+- `qa_zhihu`: 来自知乎的问答数据。
+- `qa_wikihow`: 来自wikihow的问答数据。
+- `qa_mfa`: 外交部问答数据。
+- `news_peoples_daily`: 来自人民日报的文本数据。
+- `wikipedia`: 来自维基百科的文本数据。
+
+## 数据格式
+
+目前MNBVC数据集包含如下几类数据：
+
+### 文本数据
+文本数据使用如下格式组织：
+```json
+{
+    "文件名": datasets.Value("string"),
+    "是否待查文件": datasets.Value("bool"),
+    "是否重复文件": datasets.Value("bool"),
+    "文件大小": datasets.Value("int32"),
+    "simhash": datasets.Value("uint64"),
+    "最长段落长度": datasets.Value("int32"),
+    "段落数": datasets.Value("int32"),
+    "去重段落数": datasets.Value("int32"),
+    "低质量段落数": datasets.Value("int32"),
+    "段落": [
+        datasets.Features(
+            {
+                "行号": datasets.Value("int32"),
+                "是否重复": datasets.Value("bool"),
+                "是否跨文件重复": datasets.Value("bool"),
+                "md5": datasets.Value("string"),
+                "内容": datasets.Value("string"),
+            }
+        )
+    ]
+}
+```
+
+### 问答数据
+问答数据使用如下格式组织：
+```json
+{
+    "id": datasets.Value("int32"),
+    "问": datasets.Value("string"),
+    "答": datasets.Value("string"),
+    "来源": datasets.Value("string"),
+    "元数据": {
+        "create_time": datasets.Value("string"),
+        "问题明细": datasets.Value("string"),
+        "回答明细": datasets.Value("string"),
+        "扩展字段": datasets.Value("string"),
+    }
+}
+```
+
+项目早期所上传的数据使用如下格式，以后这一格式会被废弃，相应数据也会重新上传：
+```json
+{
+    "text": datasets.Value("string"),
+    "meta": datasets.Value("string")
+}
+```
+
+
+### Contributions
+
+Thanks to the [Liwu community](http://mnbvc.253874.net/) for constructing this dataset.
+Thanks to [silver](https://github.com/silverriver) for adding this dataset.

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