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README.md
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@@ -7,11 +7,12 @@ pretty_name: 1m huffpost news article links
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size_categories:
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- 100K<n<1M
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---
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The dataset consists of >1m links to huffpost news articles. They have been crawled for an educational approach to learn how content could be gathered through reading the websites sitemap(s).
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The code can be found here [Link](https://github.com/manzke/huffpost-crawler/)
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educational - how to use sitemap.xml for crawling a website (huffpost.com - could be any)
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Every public website has (or should have) a sitemap.xml. The sitemap.xml allows robots like Google to find links, which should be crawled.
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This led to 1,121,569 unique links for new entries.
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A lot of LLM models have been trained on public data. To forbit it, pages has added
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Sitemap: https://www.huffpost.com/sitemaps-huffingtonpost/sections.xml
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```
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```
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@article{misra2019sarcasm,
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title={Sarcasm Detection using Hybrid Neural Network},
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size_categories:
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- 100K<n<1M
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---
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# huffpost news article dataset
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The dataset consists of >1m links to huffpost news articles. They have been crawled for an educational approach to learn how content could be gathered through reading the websites sitemap(s).
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The code can be found here [Link](https://github.com/manzke/huffpost-crawler/)
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## huffpost-crawler
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educational - how to use sitemap.xml for crawling a website (huffpost.com - could be any)
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Every public website has (or should have) a sitemap.xml. The sitemap.xml allows robots like Google to find links, which should be crawled.
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This led to 1,121,569 unique links for new entries.
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### robots.txt
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A lot of LLM models have been trained on public data. To forbit it, pages has added
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Sitemap: https://www.huffpost.com/sitemaps-huffingtonpost/sections.xml
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```
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### Inspired by
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```
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@article{misra2019sarcasm,
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title={Sarcasm Detection using Hybrid Neural Network},
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