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- ---
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- annotations_creators:
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- - no-annotation
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- language:
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- - en
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- language_creators:
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- - machine-generated
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- license:
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- - odc-by
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- multilinguality:
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- - monolingual
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- pretty_name: C4-FAQs
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- size_categories:
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- - 100K<n<1M
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- source_datasets:
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- - extended|c4
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- tags:
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- - question-generation
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- - question_generation
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- - open-domain-qg
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- - qg
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- task_categories:
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- - text2text-generation
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- - text-generation
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- - question-answering
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- task_ids:
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- - text-simplification
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- - language-modeling
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- - open-domain-qa
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- ---
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-
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- # Dataset Card for [Dataset Name]
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-
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- ## Table of Contents
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- - [Table of Contents](#table-of-contents)
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- - [Dataset Description](#dataset-description)
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- - [Dataset Summary](#dataset-summary)
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- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- - [Languages](#languages)
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- - [Dataset Structure](#dataset-structure)
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- - [Data Instances](#data-instances)
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- - [Data Fields](#data-fields)
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- - [Data Splits](#data-splits)
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- - [Dataset Creation](#dataset-creation)
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- - [Curation Rationale](#curation-rationale)
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- - [Source Data](#source-data)
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- - [Annotations](#annotations)
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- - [Personal and Sensitive Information](#personal-and-sensitive-information)
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- - [Considerations for Using the Data](#considerations-for-using-the-data)
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- - [Social Impact of Dataset](#social-impact-of-dataset)
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- - [Discussion of Biases](#discussion-of-biases)
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- - [Other Known Limitations](#other-known-limitations)
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- - [Additional Information](#additional-information)
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- - [Dataset Curators](#dataset-curators)
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- - [Licensing Information](#licensing-information)
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- - [Citation Information](#citation-information)
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- - [Contributions](#contributions)
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-
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- ## Dataset Description
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-
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- - **Point of Contact:** [Vishal Burman](mailto:[email protected])
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-
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- ### Dataset Summary
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-
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- This dataset comprises of open-domain question-answer pairs obtained from extracting 150K FAQ URLs from C4 dataset. Please refer to the original [`paper`](https://arxiv.org/abs/1910.10683) and [`dataset card`](https://huggingface.co/datasets/c4) for more details.
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-
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- You can load C4-FAQs as follows:
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- ```python
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- from datasets import load_dataset
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- c4_faqs_dataset = load_dataset("vishal-burman/c4-faqs")
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- ```
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-
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- ### Supported Tasks and Leaderboards
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-
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- C4-FAQs is mainly intended for open-domain end-to-end question generation. It can also be used for open-domain question answering.
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-
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- ### Languages
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-
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- C4-FAQs only supports English language.
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-
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- ## Dataset Structure
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-
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- ### Data Instances
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-
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- An example of a single dataset point:
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- ```python
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- {'url': 'https://www.brusselsghosts.com/things-to-do-brussels/faq.html', 'faq_pairs': [{'question': 'What should I bring for the tour?', 'answer': 'Nothing special, just be ready to walk for bit and potentially something to protect you from poltergeists and rain. Any kind of amulet or protection stone is also welcome.'}, {'question': 'Can kids join too ?', 'answer': 'Yes, we accept kids from 6 years old and on! We also have a family discount, if you book for 2 adults and 2 kids!'}, {'question': 'Where is the meeting point ?', 'answer': 'Brussels has many paved roads and those are hardly accessible with a wheelchair, for that reason we have to unfortunately label our tour as not wheelchair accessible.'}]}
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- ```
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-
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- ### Data Fields
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-
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- The data have several fields:
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-
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- - `url`: URL of the webpage containing the FAQs
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- - `faq_pairs`: A list of question-answer pairs extracted from the webpage
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- - `question`: A single question as a string
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- - `answer`: A single answer to the above question as a string
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-
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- ### Data Splits
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-
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- | subset | total |
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- |:-------|:------|
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- | train | 150K |
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-
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- ## Dataset Creation
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-
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- ### Curation Rationale
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-
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- The dataset was curated to create end-to-end Question Generation pipelines. A large amount of open-source models use [`SQuAD`](https://huggingface.co/datasets/squad) dataset to create answer-agnostic question generation models. While the questions are valid, they often are short factoid in nature. This dataset is curated from FAQs of websites, which are generally hand-crafted and can be used to further improve generated question quality.
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-
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- ## Additional Information
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-
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- ### Dataset Curators
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-
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- Original data by [Common Crawl](https://commoncrawl.org/).
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-
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- ### Licensing Information
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-
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- The original dataset was released under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.
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-
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- ### Citation Information
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-
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- If you use this dataset, I would love to hear about it! Reach out on GitHub, twitter or shoot me an email.
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-
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- To cite the original `c4` dataset:
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- ```bibtex
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- @article{2019t5,
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- author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
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- title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
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- journal = {arXiv e-prints},
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- year = {2019},
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- archivePrefix = {arXiv},
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- eprint = {1910.10683},
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- }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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