Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10M<n<100M
ArXiv:
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - found | |
| - crowdsourced | |
| language: | |
| - en | |
| license: | |
| - mit | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text2text-generation | |
| task_ids: [] | |
| paperswithcode_id: commongen | |
| pretty_name: CommonGen | |
| tags: | |
| - concepts-to-text | |
| dataset_info: | |
| features: | |
| - name: concept_set_idx | |
| dtype: int32 | |
| - name: concepts | |
| sequence: string | |
| - name: target | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 6724166 | |
| num_examples: 67389 | |
| - name: validation | |
| num_bytes: 408740 | |
| num_examples: 4018 | |
| - name: test | |
| num_bytes: 77518 | |
| num_examples: 1497 | |
| download_size: 3434865 | |
| dataset_size: 7210424 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| - split: test | |
| path: data/test-* | |
| # Dataset Card for "common_gen" | |
| ## 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://inklab.usc.edu/CommonGen/index.html](https://inklab.usc.edu/CommonGen/index.html) | |
| - **Repository:** https://github.com/INK-USC/CommonGen | |
| - **Paper:** [CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning](https://arxiv.org/abs/1911.03705) | |
| - **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:** 1.85 MB | |
| - **Size of the generated dataset:** 7.21 MB | |
| - **Total amount of disk used:** 9.06 MB | |
| ### Dataset Summary | |
| CommonGen is a constrained text generation task, associated with a benchmark dataset, | |
| to explicitly test machines for the ability of generative commonsense reasoning. Given | |
| a set of common concepts; the task is to generate a coherent sentence describing an | |
| everyday scenario using these concepts. | |
| CommonGen is challenging because it inherently requires 1) relational reasoning using | |
| background commonsense knowledge, and 2) compositional generalization ability to work | |
| on unseen concept combinations. Our dataset, constructed through a combination of | |
| crowd-sourcing from AMT and existing caption corpora, consists of 30k concept-sets and | |
| 50k sentences in total. | |
| ### 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:** 1.85 MB | |
| - **Size of the generated dataset:** 7.21 MB | |
| - **Total amount of disk used:** 9.06 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "concept_set_idx": 0, | |
| "concepts": ["ski", "mountain", "skier"], | |
| "target": "Three skiers are skiing on a snowy mountain." | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### default | |
| - `concept_set_idx`: a `int32` feature. | |
| - `concepts`: a `list` of `string` features. | |
| - `target`: a `string` feature. | |
| ### Data Splits | |
| | name |train|validation|test| | |
| |-------|----:|---------:|---:| | |
| |default|67389| 4018|1497| | |
| ## 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 [MIT License](https://github.com/INK-USC/CommonGen/blob/master/LICENSE). | |
| ### Citation Information | |
| ```bib | |
| @inproceedings{lin-etal-2020-commongen, | |
| title = "{C}ommon{G}en: A Constrained Text Generation Challenge for Generative Commonsense Reasoning", | |
| author = "Lin, Bill Yuchen and | |
| Zhou, Wangchunshu and | |
| Shen, Ming and | |
| Zhou, Pei and | |
| Bhagavatula, Chandra and | |
| Choi, Yejin and | |
| Ren, Xiang", | |
| booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020", | |
| month = nov, | |
| year = "2020", | |
| address = "Online", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://www.aclweb.org/anthology/2020.findings-emnlp.165", | |
| doi = "10.18653/v1/2020.findings-emnlp.165", | |
| pages = "1823--1840" | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@JetRunner](https://github.com/JetRunner), [@yuchenlin](https://github.com/yuchenlin), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq) for adding this dataset. |