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README.md
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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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# Dataset Card for [Dataset Name]
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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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## Dataset Description
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- **Point of Contact:** [Vishal Burman](mailto:[email protected])
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### Dataset Summary
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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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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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### Supported Tasks and Leaderboards
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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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### Languages
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C4-FAQs only supports English language.
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## Dataset Structure
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### Data Instances
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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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### Data Fields
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The data have several fields:
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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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### Data Splits
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| subset | total |
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|:-------|:------|
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| train | 150K |
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## Dataset Creation
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### Curation Rationale
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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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## Additional Information
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### Dataset Curators
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Original data by [Common Crawl](https://commoncrawl.org/).
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### Licensing Information
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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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### Citation Information
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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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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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data/train-00000-of-00002-afb6ac49c38b63ca.parquet → vishal-burman--c4-faqs/parquet-train-00000-of-00002.parquet
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 290710877
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data/train-00001-of-00002-c962114f6120a99a.parquet → vishal-burman--c4-faqs/parquet-train-00001-of-00002.parquet
RENAMED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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size 9944431
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