Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - crowdsourced | |
| language: | |
| - en | |
| license: | |
| - mit | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - question-answering | |
| task_ids: | |
| - open-domain-qa | |
| paperswithcode_id: commonsenseqa | |
| pretty_name: CommonsenseQA | |
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: question_concept | |
| dtype: string | |
| - name: choices | |
| sequence: | |
| - name: label | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: answerKey | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 2207794 | |
| num_examples: 9741 | |
| - name: validation | |
| num_bytes: 273848 | |
| num_examples: 1221 | |
| - name: test | |
| num_bytes: 257842 | |
| num_examples: 1140 | |
| download_size: 1558570 | |
| dataset_size: 2739484 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| - split: test | |
| path: data/test-* | |
| # Dataset Card for "commonsense_qa" | |
| ## Table of Contents | |
| - [Table of Contents](#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://www.tau-nlp.org/commonsenseqa | |
| - **Repository:** https://github.com/jonathanherzig/commonsenseqa | |
| - **Paper:** https://arxiv.org/abs/1811.00937 | |
| - **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:** 4.68 MB | |
| - **Size of the generated dataset:** 2.18 MB | |
| - **Total amount of disk used:** 6.86 MB | |
| ### Dataset Summary | |
| CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge | |
| to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers. | |
| The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation | |
| split, and "Question token split", see paper for details. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| The dataset is in English (`en`). | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### default | |
| - **Size of downloaded dataset files:** 4.68 MB | |
| - **Size of the generated dataset:** 2.18 MB | |
| - **Total amount of disk used:** 6.86 MB | |
| An example of 'train' looks as follows: | |
| ``` | |
| {'id': '075e483d21c29a511267ef62bedc0461', | |
| 'question': 'The sanctions against the school were a punishing blow, and they seemed to what the efforts the school had made to change?', | |
| 'question_concept': 'punishing', | |
| 'choices': {'label': ['A', 'B', 'C', 'D', 'E'], | |
| 'text': ['ignore', 'enforce', 'authoritarian', 'yell at', 'avoid']}, | |
| 'answerKey': 'A'} | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### default | |
| - `id` (`str`): Unique ID. | |
| - `question`: a `string` feature. | |
| - `question_concept` (`str`): ConceptNet concept associated to the question. | |
| - `choices`: a dictionary feature containing: | |
| - `label`: a `string` feature. | |
| - `text`: a `string` feature. | |
| - `answerKey`: a `string` feature. | |
| ### Data Splits | |
| | name | train | validation | test | | |
| |---------|------:|-----------:|-----:| | |
| | default | 9741 | 1221 | 1140 | | |
| ## 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 | |
| The dataset is licensed under the MIT License. | |
| See: https://github.com/jonathanherzig/commonsenseqa/issues/5 | |
| ### Citation Information | |
| ``` | |
| @inproceedings{talmor-etal-2019-commonsenseqa, | |
| title = "{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge", | |
| author = "Talmor, Alon and | |
| Herzig, Jonathan and | |
| Lourie, Nicholas and | |
| Berant, Jonathan", | |
| booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)", | |
| month = jun, | |
| year = "2019", | |
| address = "Minneapolis, Minnesota", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/N19-1421", | |
| doi = "10.18653/v1/N19-1421", | |
| pages = "4149--4158", | |
| archivePrefix = "arXiv", | |
| eprint = "1811.00937", | |
| primaryClass = "cs", | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@albertvillanova](https://github.com/albertvillanova), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset. |