LLukas22/cqadupstack
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--- license: apache-2.0 task_categories: - sentence-similarity - feature-extraction language: - en size_categories: - 100K<n<1M --- # Dataset Card for "cqadupstack" ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) ## Dataset Description - **Homepage:** [http://nlp.cis.unimelb.edu.au/resources/cqadupstack/](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) ### Dataset Summary This is a preprocessed version of cqadupstack, to make it easily consumable via huggingface. The original dataset can be found [here](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/). CQADupStack is a benchmark dataset for community question-answering (cQA) research. It contains threads from twelve StackExchange1 subforums, annotated with duplicate question information and comes with pre-defined training, development, and test splits, both for retrieval and classification experiments. ## Dataset Structure ### Data Instances An example of 'train' looks as follows. ```json { "question": "Very often, when some unknown company is calling me, in couple of seconds I see its name and logo on standard ...", "answer": "You didn't explicitely mention it, but from the context I assume you're using a device with Android 4.4 (Kitkat). With that ...", "title": "Why Dialer shows contact name and image, when contact is not in my address book?", "forum_tag": "android" } ``` ### Data Fields The data fields are the same among all splits. - `question`: a `string` feature. - `answer`: a `string` feature. - `title`: a `string` feature. - `forum_tag`: a categorical `string` feature. ## Additional Information ### Licensing Information This dataset is distributed under the Apache 2.0 licence.
许可证：Apache-2.0 任务类别： - 句子相似度（sentence-similarity） - 特征提取（feature-extraction） 语言： - 英文（en） 规模类别： - 10万<样本量<100万 --- # 「cqadupstack」数据集卡片 ## 目录 - [目录](#table-of-contents) - [数据集描述](#dataset-description) - [数据集概述](#dataset-summary) - [数据集结构](#dataset-structure) - [数据实例](#data-instances) - [数据字段](#data-fields) - [附加信息](#additional-information) - [许可信息](#licensing-information) ## 数据集描述 - **主页**：[http://nlp.cis.unimelb.edu.au/resources/cqadupstack/](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) ### 数据集概述 本版本为cqadupstack的预处理版本，可通过Hugging Face便捷调用使用。原始数据集可在[此处](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/)获取。 CQADupStack是用于社区问答（community question-answering, cQA）研究的基准数据集。其包含来自12个StackExchange子论坛的讨论串，标注了重复问题信息，并针对检索与分类实验提供了预定义的训练、验证与测试划分。 ## 数据集结构 ### 数据实例 「训练集」的一则示例如下： json { "question": "Very often, when some unknown company is calling me, in couple of seconds I see its name and logo on standard ...", "answer": "You didn't explicitely mention it, but from the context I assume you're using a device with Android 4.4 (Kitkat). With that ...", "title": "Why Dialer shows contact name and image, when contact is not in my address book?", "forum_tag": "android" } ### 数据字段 所有数据划分的数据字段均保持一致： - `question`：字符串类型特征 - `answer`：字符串类型特征 - `title`：字符串类型特征 - `forum_tag`：分类字符串特征 ## 附加信息 ### 许可信息 本数据集采用Apache 2.0许可证进行分发。
数据集概述
数据集描述
- 名称: CQADupStack
- 类别: 社区问答研究基准数据集
- 内容: 包含来自十二个StackExchange子论坛的讨论线程，带有重复问题信息，并预定义了训练、开发和测试分割，适用于检索和分类实验。
数据集结构
数据实例
- 示例: json { "question": "Very often, when some unknown company is calling me, in couple of seconds I see its name and logo on standard ...", "answer": "You didnt explicitely mention it, but from the context I assume youre using a device with Android 4.4 (Kitkat). With that ...", "title": "Why Dialer shows contact name and image, when contact is not in my address book?", "forum_tag": "android" }
数据字段
question: 字符串类型answer: 字符串类型title: 字符串类型forum_tag: 分类字符串类型
附加信息
许可信息
- 许可: Apache 2.0
