| --- |
| 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) |
| --- |
| |
| # 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") |
| ``` |
