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curationCorpus
Text
Reading Comprehension
|...
许可协议: CC-BY 4.0

Overview

The Curation Corpus is a collection of 40,000 professionally-written summaries of news articles, with links to the articles themselves. This repository provides a scraper to access them. If you're interested in commercial use or access to the wider catalogue of Curation data, including a larger set of over 150,000 professionally-written abstracts and a scalable, on-demand content abstraction API (driven by humans or AI), please get in touch. For our thoughts on how we hope this release will help the NLP community, see our post introducing the dataset.

Instruction

  • Clone this repository (or just copy the code from scraper.py)
  • Download the urls, headlines, and summaries from here
  • Run web_scraper.py. Give as command line arguments the path to the csv file without article text, the path to a new csv file which will have article text, and a batch size to determine how many urls it will scrape at a time. Larger batch sizes will make it run faster but it may drop more articles due to timeouts. I recommend ~50 on a 2015 Macbook Pro.
git clone https://github.com/CurationCorp/curation-corpus.git
cd curation-corpus
wget https://curation-datasets.s3-eu-west-1.amazonaws.com/curation-corpus-base.csv
python web_scraper.py curation-corpus-base.csv curation-corpus-base-with-articles.csv 50

Some urls will return messy results due to content changing over time, paywalls, etc. We've tried to remove the worst offenders from this release. There is probably still scope though for improving the scraper though.

Citation

@misc{curationcorpusbase:2020,
  title={Curation Corpus Base},
  author={Curation},
  year={2020}
}

License

Please remember to attribute any derivative works in accordance with the terms of the CC-BY license.

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

数据概要
数据格式
text,
数据量
40K
文件大小
123.13MB
发布方
Henry Dashwood
ML at Curation. Previously I interned at Talkspace and Sharemob. I keep personal projects here.
| 数据量 40K | 大小 123.13MB
curationCorpus
Text
Reading Comprehension
许可协议: CC-BY 4.0

Overview

The Curation Corpus is a collection of 40,000 professionally-written summaries of news articles, with links to the articles themselves. This repository provides a scraper to access them. If you're interested in commercial use or access to the wider catalogue of Curation data, including a larger set of over 150,000 professionally-written abstracts and a scalable, on-demand content abstraction API (driven by humans or AI), please get in touch. For our thoughts on how we hope this release will help the NLP community, see our post introducing the dataset.

Instruction

  • Clone this repository (or just copy the code from scraper.py)
  • Download the urls, headlines, and summaries from here
  • Run web_scraper.py. Give as command line arguments the path to the csv file without article text, the path to a new csv file which will have article text, and a batch size to determine how many urls it will scrape at a time. Larger batch sizes will make it run faster but it may drop more articles due to timeouts. I recommend ~50 on a 2015 Macbook Pro.
git clone https://github.com/CurationCorp/curation-corpus.git
cd curation-corpus
wget https://curation-datasets.s3-eu-west-1.amazonaws.com/curation-corpus-base.csv
python web_scraper.py curation-corpus-base.csv curation-corpus-base-with-articles.csv 50

Some urls will return messy results due to content changing over time, paywalls, etc. We've tried to remove the worst offenders from this release. There is probably still scope though for improving the scraper though.

Citation

@misc{curationcorpusbase:2020,
  title={Curation Corpus Base},
  author={Curation},
  year={2020}
}

License

Please remember to attribute any derivative works in accordance with the terms of the CC-BY license.

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

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