MtCelesteMa/multiglue

---
license: cc-by-4.0
task_categories:
- text-classification
size_categories:
- 100K<n<1M
language:
- en
multilinguality:
- monolingual
pretty_name: MultiGLUE
source_datasets:
- extended|glue
language_creators:
- found
annotations_creators:
- found
---

# Dataset Card for MultiGLUE

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

This dataset is a combination of the cola, mrpc, qnli, qqp, rte, sst2, and wnli subsets of the GLUE dataset. Its intended use is to benchmark language models on multitask binary classification.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Like the GLUE dataset, this dataset is in English.

## Dataset Structure

### Data Instances

An example instance looks like this:
```
{
"label": 1,
"task": "cola",
"sentence1": "The sailors rode the breeze clear of the rocks.",
"sentence2": null
}
```

### Data Fields

- `task`: A `string` feature, indicating the GLUE task the instance is from.
- `sentence1`: A `string` feature.
- `sentence2`: A `string` feature.
- `label`: A classification label, either 0 or 1.

### Data Splits

- `train`: 551,282 instances
- `validation`: 48,564 instances
- `test`: 404,183 instances, no classification label (same as GLUE)

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

This dataset is created by combining the cola, mrpc, qnli, qqp, rte, sst2, and wnli subsets of the GLUE dataset.

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]

原始信息汇总

数据集卡片 MultiGLUE

数据集描述

数据集概述

该数据集是GLUE数据集的cola、mrpc、qnli、qqp、rte、sst2和wnli子集的组合。其目的是用于在多任务二分类上基准测试语言模型。

支持的任务和排行榜

[更多信息需要]

语言

与GLUE数据集一样，该数据集是英文的。

数据集结构

数据实例

一个示例实例如下： json { "label": 1, "task": "cola", "sentence1": "The sailors rode the breeze clear of the rocks.", "sentence2": null }

数据字段

• task: 字符串特征，指示实例来自的GLUE任务。
• sentence1: 字符串特征。
• sentence2: 字符串特征。
• label: 分类标签，0或1。

数据分割

• train: 551,282个实例
• validation: 48,564个实例
• test: 404,183个实例，无分类标签（与GLUE相同）

数据集创建

数据集来源

初始数据收集和规范化

该数据集是通过组合GLUE数据集的cola、mrpc、qnli、qqp、rte、sst2和wnli子集创建的。

源语言生产者

[更多信息需要]

注释

注释过程

[更多信息需要]

注释者

[更多信息需要]

个人和敏感信息

[更多信息需要]

使用数据集的注意事项

数据集的社会影响

[更多信息需要]

偏见的讨论

[更多信息需要]

其他已知限制

[更多信息需要]

附加信息

数据集策展人

[更多信息需要]

许可信息

[更多信息需要]

引用信息

[更多信息需要]

贡献

[更多信息需要]