Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
parquet
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10K - 100K
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - found | |
| language: | |
| - en | |
| license: | |
| - cc-by-nc-sa-4.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - multiple-choice | |
| task_ids: | |
| - multiple-choice-qa | |
| paperswithcode_id: quail | |
| pretty_name: Question Answering for Artificial Intelligence (QuAIL) | |
| dataset_info: | |
| config_name: quail | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: context_id | |
| dtype: string | |
| - name: question_id | |
| dtype: string | |
| - name: domain | |
| dtype: string | |
| - name: metadata | |
| struct: | |
| - name: author | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: url | |
| dtype: string | |
| - name: context | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: question_type | |
| dtype: string | |
| - name: answers | |
| sequence: string | |
| - name: correct_answer_id | |
| dtype: int32 | |
| splits: | |
| - name: train | |
| num_bytes: 23432601 | |
| num_examples: 10246 | |
| - name: validation | |
| num_bytes: 4989531 | |
| num_examples: 2164 | |
| - name: challenge | |
| num_bytes: 1199792 | |
| num_examples: 556 | |
| download_size: 2286403 | |
| dataset_size: 29621924 | |
| configs: | |
| - config_name: quail | |
| data_files: | |
| - split: train | |
| path: quail/train-* | |
| - split: validation | |
| path: quail/validation-* | |
| - split: challenge | |
| path: quail/challenge-* | |
| default: true | |
| # Dataset Card for "quail" | |
| ## 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://text-machine-lab.github.io/blog/2020/quail/](https://text-machine-lab.github.io/blog/2020/quail/) | |
| - **Repository:** https://github.com/text-machine-lab/quail | |
| - **Paper:** [Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks](https://doi.org/10.1609/aaai.v34i05.6398 ) | |
| - **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:** 6.41 MB | |
| - **Size of the generated dataset:** 29.62 MB | |
| - **Total amount of disk used:** 36.03 MB | |
| ### Dataset Summary | |
| QuAIL is a reading comprehension dataset. QuAIL contains 15K multi-choice questions in texts 300-350 tokens long 4 domains (news, user stories, fiction, blogs).QuAIL is balanced and annotated for question types. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### quail | |
| - **Size of downloaded dataset files:** 6.41 MB | |
| - **Size of the generated dataset:** 29.62 MB | |
| - **Total amount of disk used:** 36.03 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "answers": ["the cousin is not friendly", "the cousin could have been pretier", "not enough information", "the cousin was too nice"], | |
| "context": "\"That fall came and I went back to Michigan and the school year went by and summer came and I never really thought about it. I'm...", | |
| "context_id": "f001", | |
| "correct_answer_id": 0, | |
| "domain": "fiction", | |
| "id": "f001_19", | |
| "metadata": { | |
| "author": "Joseph Devon", | |
| "title": "Black Eyed Susan", | |
| "url": "http://manybooks.net/pages/devonjother08black_eyed_susan/0.html" | |
| }, | |
| "question": "After the events in the text what does the author think about the cousin?", | |
| "question_id": "19", | |
| "question_type": "Subsequent_state" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### quail | |
| - `id`: a `string` feature. | |
| - `context_id`: a `string` feature. | |
| - `question_id`: a `string` feature. | |
| - `domain`: a `string` feature. | |
| - `author`: a `string` feature. | |
| - `title`: a `string` feature. | |
| - `url`: a `string` feature. | |
| - `context`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `question_type`: a `string` feature. | |
| - `answers`: a `list` of `string` features. | |
| - `correct_answer_id`: a `int32` feature. | |
| ### Data Splits | |
| |name |train|challenge|validation| | |
| |-----|----:|--------:|---------:| | |
| |quail|10246| 556| 2164| | |
| ## 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? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### 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 | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Licensing Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Citation Information | |
| ``` | |
| @inproceedings{DBLP:conf/aaai/RogersKDR20, | |
| author = {Anna Rogers and | |
| Olga Kovaleva and | |
| Matthew Downey and | |
| Anna Rumshisky}, | |
| title = {Getting Closer to {AI} Complete Question Answering: {A} Set of Prerequisite | |
| Real Tasks}, | |
| booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI} | |
| 2020, The Thirty-Second Innovative Applications of Artificial Intelligence | |
| Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational | |
| Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA, | |
| February 7-12, 2020}, | |
| pages = {8722--8731}, | |
| publisher = {{AAAI} Press}, | |
| year = {2020}, | |
| url = {https://aaai.org/ojs/index.php/AAAI/article/view/6398}, | |
| timestamp = {Thu, 04 Jun 2020 13:18:48 +0200}, | |
| biburl = {https://dblp.org/rec/conf/aaai/RogersKDR20.bib}, | |
| bibsource = {dblp computer science bibliography, https://dblp.org} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@sai-prasanna](https://github.com/sai-prasanna), [@ngdodd](https://github.com/ngdodd) for adding this dataset. |