
# 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]
task_categories:text-classification annotations_creators:found language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:extended|glue language:en license:cc-by-4.0 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|glue"], "task_categories": ["text-classification"], "pretty_name": "MultiGLUE"}
TAGS
#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|glue #language-English #license-cc-by-4.0 #region-us 


# 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



### Languages

Like the GLUE dataset, this dataset is in English.

## Dataset Structure

### Data Instances

An example instance looks like this:


### 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



### 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?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions


# 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 ### Languages

Like the GLUE dataset, this dataset is in English. ## Dataset Structure ### Data Instances

An example instance looks like this: ### 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 ### 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? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|glue #language-English #license-cc-by-4.0 #region-us 
 # 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 ### Languages

Like the GLUE dataset, this dataset is in English. ## Dataset Structure ### Data Instances

An example instance looks like this: ### 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 ### 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? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions