metadata

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

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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]