
# Dataset Card for Snippet-MLSUM-500-V2

### Dataset Summary

This dataset is a sample of ~500 news articles from the [MLSUM](https://huggingface.co/datasets/mlsum) dataset, augmented with machine generated news snippets. 

### Supported Tasks

This dataset was created to support the task of generating news snippets such as title, teaser, keywords, serp and tweet for news articles in German language.

### Languages

de - German

## Dataset Structure

text: a string feature.  
title: a string feature.  
teaser: a string feature.  
keywords: a string feature.  
summary: a string feature.  
serp: a string feature.  
tweet: a string feature.  
url: a string feature.  
date: a string feature.  
topic: a string feature.  

## Dataset Creation

The news articles in this dataset are a random sample of ~500 news articles from MLSUM balanced by topic.  
Features text, title, teaser (originally summary in MLSUM), url, date and topic are copied from MLSUM.  
Features keywords, serp, summary and tweet are machine generated with GPT-3.5.  
Generated features comply with length limits in place for SERPs and Tweets at the time of publishing.

## Considerations for Using the Data

### Known Limitations

Part of the snippet data is machine generated. Be aware that these features (specifically: keywords, serp, summary and tweet) may exhibit signs of model hallucination, stereotypes and toxicity.

## Additional Information

### Licensing Information

This dataset is licensed under MIT license.
task_categories:summarization task_categories:text2text-generation size_categories:n<1K language:de license:mit news headline teaser keywords tweet serp summary news snippets region:us
{"language": "de", "license": "mit", "size_categories": ["n<1K"], "task_categories": ["summarization", "text2text-generation"], "tags": ["news", "headline", "teaser", "keywords", "tweet", "serp", "summary", "news snippets"]}
TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-n<1K #language-German #license-mit #news #headline #teaser #keywords #tweet #serp #summary #news snippets #region-us 


# Dataset Card for Snippet-MLSUM-500-V2

### Dataset Summary

This dataset is a sample of ~500 news articles from the MLSUM dataset, augmented with machine generated news snippets. 

### Supported Tasks

This dataset was created to support the task of generating news snippets such as title, teaser, keywords, serp and tweet for news articles in German language.

### Languages

de - German

## Dataset Structure

text: a string feature.  
title: a string feature.  
teaser: a string feature.  
keywords: a string feature.  
summary: a string feature.  
serp: a string feature.  
tweet: a string feature.  
url: a string feature.  
date: a string feature.  
topic: a string feature.  

## Dataset Creation

The news articles in this dataset are a random sample of ~500 news articles from MLSUM balanced by topic.  
Features text, title, teaser (originally summary in MLSUM), url, date and topic are copied from MLSUM.  
Features keywords, serp, summary and tweet are machine generated with GPT-3.5.  
Generated features comply with length limits in place for SERPs and Tweets at the time of publishing.

## Considerations for Using the Data

### Known Limitations

Part of the snippet data is machine generated. Be aware that these features (specifically: keywords, serp, summary and tweet) may exhibit signs of model hallucination, stereotypes and toxicity.

## Additional Information

### Licensing Information

This dataset is licensed under MIT license.
# Dataset Card for Snippet-MLSUM-500-V2 ### Dataset Summary

This dataset is a sample of ~500 news articles from the MLSUM dataset, augmented with machine generated news snippets. ### Supported Tasks

This dataset was created to support the task of generating news snippets such as title, teaser, keywords, serp and tweet for news articles in German language. ### Languages

de - German ## Dataset Structure

text: a string feature.  
title: a string feature.  
teaser: a string feature.  
keywords: a string feature.  
summary: a string feature.  
serp: a string feature.  
tweet: a string feature.  
url: a string feature.  
date: a string feature.  
topic: a string feature. ## Dataset Creation

The news articles in this dataset are a random sample of ~500 news articles from MLSUM balanced by topic.  
Features text, title, teaser (originally summary in MLSUM), url, date and topic are copied from MLSUM.  
Features keywords, serp, summary and tweet are machine generated with GPT-3.5.  
Generated features comply with length limits in place for SERPs and Tweets at the time of publishing. ## Considerations for Using the Data ### Known Limitations

Part of the snippet data is machine generated. Be aware that these features (specifically: keywords, serp, summary and tweet) may exhibit signs of model hallucination, stereotypes and toxicity. ## Additional Information ### Licensing Information

This dataset is licensed under MIT license.
TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-n<1K #language-German #license-mit #news #headline #teaser #keywords #tweet #serp #summary #news snippets #region-us 
 # Dataset Card for Snippet-MLSUM-500-V2 ### Dataset Summary

This dataset is a sample of ~500 news articles from the MLSUM dataset, augmented with machine generated news snippets. ### Supported Tasks

This dataset was created to support the task of generating news snippets such as title, teaser, keywords, serp and tweet for news articles in German language. ### Languages

de - German ## Dataset Structure

text: a string feature.  
title: a string feature.  
teaser: a string feature.  
keywords: a string feature.  
summary: a string feature.  
serp: a string feature.  
tweet: a string feature.  
url: a string feature.  
date: a string feature.  
topic: a string feature. ## Dataset Creation

The news articles in this dataset are a random sample of ~500 news articles from MLSUM balanced by topic.  
Features text, title, teaser (originally summary in MLSUM), url, date and topic are copied from MLSUM.  
Features keywords, serp, summary and tweet are machine generated with GPT-3.5.  
Generated features comply with length limits in place for SERPs and Tweets at the time of publishing. ## Considerations for Using the Data ### Known Limitations

Part of the snippet data is machine generated. Be aware that these features (specifically: keywords, serp, summary and tweet) may exhibit signs of model hallucination, stereotypes and toxicity. ## Additional Information ### Licensing Information

This dataset is licensed under MIT license.
passage: TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-n<1K #language-German #license-mit #news #headline #teaser #keywords #tweet #serp #summary #news snippets #region-us 
# Dataset Card for Snippet-MLSUM-500-V2### Dataset Summary

This dataset is a sample of ~500 news articles from the MLSUM dataset, augmented with machine generated news snippets.### Supported Tasks

This dataset was created to support the task of generating news snippets such as title, teaser, keywords, serp and tweet for news articles in German language.### Languages

de - German## Dataset Structure

text: a string feature.  
title: a string feature.  
teaser: a string feature.  
keywords: a string feature.  
summary: a string feature.  
serp: a string feature.  
tweet: a string feature.  
url: a string feature.  
date: a string feature.  
topic: a string feature.## Dataset Creation

The news articles in this dataset are a random sample of ~500 news articles from MLSUM balanced by topic.  
Features text, title, teaser (originally summary in MLSUM), url, date and topic are copied from MLSUM.  
Features keywords, serp, summary and tweet are machine generated with GPT-3.5.  
Generated features comply with length limits in place for SERPs and Tweets at the time of publishing.## Considerations for Using the Data### Known Limitations

Part of the snippet data is machine generated. Be aware that these features (specifically: keywords, serp, summary and tweet) may exhibit signs of model hallucination, stereotypes and toxicity.## Additional Information### Licensing Information

This dataset is licensed under MIT license.