
# Dataset Card for Snippet-MLSUM-500

### 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.  
serp_title: a string feature.  
serp_description: 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_title, serp_description 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_title, serp_description and tweet) may exhibit signs of model hallucination.

## Additional Information

See [Snippet-MLSUM-500-V2](https://huggingface.co/datasets/snipaid/snippet-mlsum-500-v2) if you are interested in a dataset with combined serp and additional summary data.

### 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 title-tag serp meta-description news snippets region:us
{"language": "de", "license": "mit", "size_categories": ["n<1K"], "task_categories": ["summarization", "text2text-generation"], "tags": ["news", "headline", "teaser", "keywords", "tweet", "serp title-tag", "serp meta-description", "news snippets"]}
TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-n<1K #language-German #license-mit #news #headline #teaser #keywords #tweet #serp title-tag #serp meta-description #news snippets #region-us 


# Dataset Card for Snippet-MLSUM-500

### 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.  
serp_title: a string feature.  
serp_description: 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_title, serp_description 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_title, serp_description and tweet) may exhibit signs of model hallucination.

## Additional Information

See Snippet-MLSUM-500-V2 if you are interested in a dataset with combined serp and additional summary data.

### Licensing Information

This dataset is licensed under MIT license.
# Dataset Card for Snippet-MLSUM-500 ### 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.  
serp_title: a string feature.  
serp_description: 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_title, serp_description 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_title, serp_description and tweet) may exhibit signs of model hallucination. ## Additional Information

See Snippet-MLSUM-500-V2 if you are interested in a dataset with combined serp and additional summary data. ### 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 title-tag #serp meta-description #news snippets #region-us 
 # Dataset Card for Snippet-MLSUM-500 ### 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.  
serp_title: a string feature.  
serp_description: 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_title, serp_description 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_title, serp_description and tweet) may exhibit signs of model hallucination. ## Additional Information

See Snippet-MLSUM-500-V2 if you are interested in a dataset with combined serp and additional summary data. ### 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 title-tag #serp meta-description #news snippets #region-us 
# Dataset Card for Snippet-MLSUM-500### 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.  
serp_title: a string feature.  
serp_description: 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_title, serp_description 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_title, serp_description and tweet) may exhibit signs of model hallucination.## Additional Information

See Snippet-MLSUM-500-V2 if you are interested in a dataset with combined serp and additional summary data.### Licensing Information

This dataset is licensed under MIT license.