Datasets:
Tasks:
Multiple Choice
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
| annotations_creators: | |
| - crowdsourced | |
| language: | |
| - en | |
| language_creators: | |
| - found | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: CosmosQA | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - multiple-choice | |
| task_ids: | |
| - multiple-choice-qa | |
| paperswithcode_id: cosmosqa | |
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: context | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: answer0 | |
| dtype: string | |
| - name: answer1 | |
| dtype: string | |
| - name: answer2 | |
| dtype: string | |
| - name: answer3 | |
| dtype: string | |
| - name: label | |
| dtype: int32 | |
| splits: | |
| - name: test | |
| num_bytes: 5121479 | |
| num_examples: 6963 | |
| - name: train | |
| num_bytes: 17159918 | |
| num_examples: 25262 | |
| - name: validation | |
| num_bytes: 2186987 | |
| num_examples: 2985 | |
| download_size: 24399475 | |
| dataset_size: 24468384 | |
| # Dataset Card for "cosmos_qa" | |
| ## 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://wilburone.github.io/cosmos/](https://wilburone.github.io/cosmos/) | |
| - **Repository:** https://github.com/wilburOne/cosmosqa/ | |
| - **Paper:** [Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning](https://arxiv.org/abs/1909.00277) | |
| - **Point of Contact:** [Lifu Huang](mailto:warrior.fu@gmail.com) | |
| - **Size of downloaded dataset files:** 23.27 MB | |
| - **Size of the generated dataset:** 23.37 MB | |
| - **Total amount of disk used:** 46.64 MB | |
| ### Dataset Summary | |
| Cosmos QA is a large-scale dataset of 35.6K problems that require commonsense-based reading comprehension, formulated as multiple-choice questions. It focuses on reading between the lines over a diverse collection of people's everyday narratives, asking questions concerning on the likely causes or effects of events that require reasoning beyond the exact text spans in the context | |
| ### 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 | |
| #### default | |
| - **Size of downloaded dataset files:** 23.27 MB | |
| - **Size of the generated dataset:** 23.37 MB | |
| - **Total amount of disk used:** 46.64 MB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "answer0": "If he gets married in the church he wo nt have to get a divorce .", | |
| "answer1": "He wants to get married to a different person .", | |
| "answer2": "He wants to know if he does nt like this girl can he divorce her ?", | |
| "answer3": "None of the above choices .", | |
| "context": "\"Do i need to go for a legal divorce ? I wanted to marry a woman but she is not in the same religion , so i am not concern of th...", | |
| "id": "3BFF0DJK8XA7YNK4QYIGCOG1A95STE##3180JW2OT5AF02OISBX66RFOCTG5J7##A2LTOS0AZ3B28A##Blog_56156##q1_a1##378G7J1SJNCDAAIN46FM2P7T6KZEW2", | |
| "label": 1, | |
| "question": "Why is this person asking about divorce ?" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### default | |
| - `id`: a `string` feature. | |
| - `context`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `answer0`: a `string` feature. | |
| - `answer1`: a `string` feature. | |
| - `answer2`: a `string` feature. | |
| - `answer3`: a `string` feature. | |
| - `label`: a `int32` feature. | |
| ### Data Splits | |
| | name |train|validation|test| | |
| |-------|----:|---------:|---:| | |
| |default|25262| 2985|6963| | |
| ## 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 | |
| As reported via email by Yejin Choi, the dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. | |
| ### Citation Information | |
| ``` | |
| @inproceedings{huang-etal-2019-cosmos, | |
| title = "Cosmos {QA}: Machine Reading Comprehension with Contextual Commonsense Reasoning", | |
| author = "Huang, Lifu and | |
| Le Bras, Ronan and | |
| Bhagavatula, Chandra and | |
| Choi, Yejin", | |
| booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)", | |
| month = nov, | |
| year = "2019", | |
| address = "Hong Kong, China", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://www.aclweb.org/anthology/D19-1243", | |
| doi = "10.18653/v1/D19-1243", | |
| pages = "2391--2401", | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@albertvillanova](https://github.com/albertvillanova), [@thomwolf](https://github.com/thomwolf) for adding this dataset. |