trivia-qa
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下载链接:
https://modelscope.cn/datasets/sentence-transformers/trivia-qa
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# Dataset Card for Trivia QA
This dataset is a collection of question-answer pairs collected from the Trivia QA dataset. See [Trivia QA](https://huggingface.co/datasets/mandarjoshi/trivia_qa) for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.
## Dataset Subsets
### `pair` subset
* Columns: "query", "answer"
* Column types: `str`, `str`
* Examples:
```python
{
'query': 'Which American-born Sinclair won the Nobel Prize for Literature in 1930?',
'answer': 'The Nobel Prize in Literature 1930 The Nobel Prize in Literature 1930 Sinclair Lewis The Nobel Prize in Literature 1930 Sinclair Lewis Prize share: 1/1 The Nobel Prize in Literature 1930 was awarded to Sinclair Lewis "for his vigorous and graphic art of description and his ability to create, with wit and humour, new types of characters". Photos: Copyright © The Nobel Foundation Share this: To cite this page MLA style: "The Nobel Prize in Literature 1930". Nobelprize.org. Nobel Media AB 2014. Web. 18 Jan 2017. <http://www.nobelprize.org/nobel_prizes/literature/laureates/1930/>',
}
```
* Collection strategy: Reading the Trivia QA dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data).
* Deduplified: No
# Trivia QA 数据集卡片
本数据集为从Trivia QA数据集采集的问答对集合。更多详细信息可参阅[Trivia QA](https://huggingface.co/datasets/mandarjoshi/trivia_qa)页面。
本数据集可直接配合Sentence Transformers进行嵌入模型的训练。
## 数据集子集
### `pair` 子集
* 字段:"query"、"answer"
* 字段类型:`str`、`str`
* 示例:
python
{
'query': 'Which American-born Sinclair won the Nobel Prize for Literature in 1930?',
'answer': 'The Nobel Prize in Literature 1930 The Nobel Prize in Literature 1930 Sinclair Lewis The Nobel Prize in Literature 1930 Sinclair Lewis Prize share: 1/1 The Nobel Prize in Literature 1930 was awarded to Sinclair Lewis "for his vigorous and graphic art of description and his ability to create, with wit and humour, new types of characters". Photos: Copyright © The Nobel Foundation Share this: To cite this page MLA style: "The Nobel Prize in Literature 1930". Nobelprize.org. Nobel Media AB 2014. Web. 18 Jan 2017. <http://www.nobelprize.org/nobel_prizes/literature/laureates/1930/>',
}
* 采集策略:从[embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data)读取Trivia QA数据集
* 去重:否
提供机构:
maas创建时间:
2025-01-06
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集源自Trivia QA,包含问答对,用于训练Sentence Transformers的嵌入模型。其'pair'子集由查询和答案字符串列组成,可直接应用于模型训练。
以上内容由遇见数据集搜集并总结生成



