
# DOCUMENTATION UPDATES IN PROGRESS! IGNORE BELOW

# Dataset Card for GLUE

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://nyu-mll.github.io/CoLA/](https://nyu-mll.github.io/CoLA/)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 955.33 MB
- **Size of the generated dataset:** 229.68 MB
- **Total amount of disk used:** 1185.01 MB

### Dataset Summary

GLUE, the General Language Understanding Evaluation benchmark (https://gluebenchmark.com/) is a collection of resources for training, evaluating, and analyzing natural language understanding systems.

### Supported Tasks and Leaderboards

The leaderboard for the GLUE benchmark can be found [at this address](https://gluebenchmark.com/). It comprises the following tasks:

#### cola

The Corpus of Linguistic Acceptability consists of English acceptability judgments drawn from books and journal articles on linguistic theory. Each example is a sequence of words annotated with whether it is a grammatical English sentence.

### Languages

The language data in  is in English 

## Dataset Structure

### Data Instances

#### cola

- **Size of downloaded dataset files:** 0.36 MB
- **Size of the generated dataset:** 0.58 MB
- **Total amount of disk used:** 0.94 MB

An example of 'train' looks as follows.
```
{
  "sentence": "Our friends won't buy this analysis, let alone the next one we propose.",
  "label": 1,
  "id": 0
}
```


### Data Fields

The data fields are the same among all splits.

#### cola
- `abstract`: a `string` feature.
- `label`: a classification label, with possible values including `unacceptable` (0), `acceptable` (1).
- `idx`: a `int32` feature.

### Data Splits

|train|validation|test|
|----:|---------:|---:|
| 8551|      1043|1063|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

Rare Disease Curators from the [National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD)](https://rarediseases.info.nih.gov/)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

Rare Disease Curators from the [National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD)](https://rarediseases.info.nih.gov/)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Citation Information
```
@inproceedings{john2021recurrent,
  title={Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed},
  author={John, Jennifer N and Sid, Eric and Zhu, Qian},
  booktitle={AMIA Annual Symposium Proceedings},
  volume={2021},
  pages={325},
  year={2021},
  organization={American Medical Informatics Association}
}
```


### Contributions

Thanks to [@patpizio](https://github.com/patpizio), [@jeswan](https://github.com/jeswan), [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.

```
from datasets import load_dataset
epiclassify = load_dataset("ncats/EpiSet4BinaryClassification")
```
annotations_creators:unknown language_creators:unknown multilinguality:monolingual size_categories:10K<n<100K source_datasets:unknown language:en license:cc-by-4.0 region:us
{"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["unknown"], "paperswithcode_id": "glue", "pretty_name": "GLUE (General Language Understanding Evaluation benchmark)"}
TAGS
#annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-unknown #language-English #license-cc-by-4.0 #region-us 

DOCUMENTATION UPDATES IN PROGRESS! IGNORE BELOW
===============================================


Dataset Card for GLUE
=====================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ 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
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* Paper:
* Point of Contact:
* Size of downloaded dataset files: 955.33 MB
* Size of the generated dataset: 229.68 MB
* Total amount of disk used: 1185.01 MB


### Dataset Summary


GLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems.


### Supported Tasks and Leaderboards


The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks:


#### cola


The Corpus of Linguistic Acceptability consists of English acceptability judgments drawn from books and journal articles on linguistic theory. Each example is a sequence of words annotated with whether it is a grammatical English sentence.


### Languages


The language data in is in English


Dataset Structure
-----------------


### Data Instances


#### cola


* Size of downloaded dataset files: 0.36 MB
* Size of the generated dataset: 0.58 MB
* Total amount of disk used: 0.94 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### cola


* 'abstract': a 'string' feature.
* 'label': a classification label, with possible values including 'unacceptable' (0), 'acceptable' (1).
* 'idx': a 'int32' feature.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


Rare Disease Curators from the National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD)


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


Rare Disease Curators from the National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD)


### Licensing Information


### Contributions


Thanks to @patpizio, @jeswan, @thomwolf, @patrickvonplaten, @mariamabarham for adding this dataset.



### Dataset Summary


GLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems. ### Supported Tasks and Leaderboards


The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks: #### cola


The Corpus of Linguistic Acceptability consists of English acceptability judgments drawn from books and journal articles on linguistic theory. Each example is a sequence of words annotated with whether it is a grammatical English sentence. ### Languages


The language data in is in English


Dataset Structure
----------------- ### Data Instances #### cola


* Size of downloaded dataset files: 0.36 MB
* Size of the generated dataset: 0.58 MB
* Total amount of disk used: 0.94 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### cola


* 'abstract': a 'string' feature.
* 'label': a classification label, with possible values including 'unacceptable' (0), 'acceptable' (1).
* 'idx': a 'int32' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators?


Rare Disease Curators from the National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD) ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators


Rare Disease Curators from the National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD) ### Licensing Information ### Contributions


Thanks to @patpizio, @jeswan, @thomwolf, @patrickvonplaten, @mariamabarham for adding this dataset.
TAGS
#annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-unknown #language-English #license-cc-by-4.0 #region-us 
 ### Dataset Summary


GLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems. ### Supported Tasks and Leaderboards


The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks: #### cola


The Corpus of Linguistic Acceptability consists of English acceptability judgments drawn from books and journal articles on linguistic theory. Each example is a sequence of words annotated with whether it is a grammatical English sentence. ### Languages


The language data in is in English


Dataset Structure
----------------- ### Data Instances #### cola


* Size of downloaded dataset files: 0.36 MB
* Size of the generated dataset: 0.58 MB
* Total amount of disk used: 0.94 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### cola


* 'abstract': a 'string' feature.
* 'label': a classification label, with possible values including 'unacceptable' (0), 'acceptable' (1).
* 'idx': a 'int32' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators?


Rare Disease Curators from the National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD) ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators


Rare Disease Curators from the National Institutes of Health (NIH) Genetic and Rare Diseases Information Center (GARD) ### Licensing Information ### Contributions


Thanks to @patpizio, @jeswan, @thomwolf, @patrickvonplaten, @mariamabarham for adding this dataset.