
# Dataset Card for Instruct-Snippet-MLSUM-500

### Dataset Summary

This is a dataset for multitask instruction finetuning dataset for the task of news snippet generation. It is built from 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

lable: a string feature.  
instruction: a string feature.  
input: a string feature.  
output: a string feature.

## Dataset Creation

This dataset was created from Snippet-MLSUM-500. See [Snippet-MLSUM-500](https://huggingface.co/datasets/snipaid/snippet-mlsum-500) for the dataset without instructions.  
Instructions were generated with GPT-3.5 from a human-curated seed-set of instructions.

## Considerations for Using the Data

### Known Limitations

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

## Additional Information

See [Instruct-Snippet-MLSUM-500-V2](https://huggingface.co/datasets/snipaid/instruct-snippet-mlsum-500-v2) if you are interested in an improved successor, with further support for summaries.

### Licensing Information

This dataset is licensed under MIT license.
task_categories:summarization task_categories:text2text-generation size_categories:1K<n<10K language:de license:mit news headline generation teaser generation keyword generation tweet generation serp title-tag generation serp meta-description generation news snippet generation region:us
{"language": "de", "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["summarization", "text2text-generation"], "pretty_name": "Instruct-Snippet-MLSUM-500", "tags": ["news", "headline generation", "teaser generation", "keyword generation", "tweet generation", "serp title-tag generation", "serp meta-description generation", "news snippet generation"]}
TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-1K<n<10K #language-German #license-mit #news #headline generation #teaser generation #keyword generation #tweet generation #serp title-tag generation #serp meta-description generation #news snippet generation #region-us 


# Dataset Card for Instruct-Snippet-MLSUM-500

### Dataset Summary

This is a dataset for multitask instruction finetuning dataset for the task of news snippet generation. It is built from 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

lable: a string feature.  
instruction: a string feature.  
input: a string feature.  
output: a string feature.

## Dataset Creation

This dataset was created from Snippet-MLSUM-500. See Snippet-MLSUM-500 for the dataset without instructions.  
Instructions were generated with GPT-3.5 from a human-curated seed-set of instructions.

## Considerations for Using the Data

### Known Limitations

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

## Additional Information

See Instruct-Snippet-MLSUM-500-V2 if you are interested in an improved successor, with further support for summaries.

### Licensing Information

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

This is a dataset for multitask instruction finetuning dataset for the task of news snippet generation. It is built from 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

lable: a string feature.  
instruction: a string feature.  
input: a string feature.  
output: a string feature. ## Dataset Creation

This dataset was created from Snippet-MLSUM-500. See Snippet-MLSUM-500 for the dataset without instructions.  
Instructions were generated with GPT-3.5 from a human-curated seed-set of instructions. ## Considerations for Using the Data ### Known Limitations

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

See Instruct-Snippet-MLSUM-500-V2 if you are interested in an improved successor, with further support for summaries. ### Licensing Information

This dataset is licensed under MIT license.
TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-1K<n<10K #language-German #license-mit #news #headline generation #teaser generation #keyword generation #tweet generation #serp title-tag generation #serp meta-description generation #news snippet generation #region-us 
 # Dataset Card for Instruct-Snippet-MLSUM-500 ### Dataset Summary

This is a dataset for multitask instruction finetuning dataset for the task of news snippet generation. It is built from 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

lable: a string feature.  
instruction: a string feature.  
input: a string feature.  
output: a string feature. ## Dataset Creation

This dataset was created from Snippet-MLSUM-500. See Snippet-MLSUM-500 for the dataset without instructions.  
Instructions were generated with GPT-3.5 from a human-curated seed-set of instructions. ## Considerations for Using the Data ### Known Limitations

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

See Instruct-Snippet-MLSUM-500-V2 if you are interested in an improved successor, with further support for summaries. ### Licensing Information

This dataset is licensed under MIT license.
passage: TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-1K<n<10K #language-German #license-mit #news #headline generation #teaser generation #keyword generation #tweet generation #serp title-tag generation #serp meta-description generation #news snippet generation #region-us 
# Dataset Card for Instruct-Snippet-MLSUM-500### Dataset Summary

This is a dataset for multitask instruction finetuning dataset for the task of news snippet generation. It is built from 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

lable: a string feature.  
instruction: a string feature.  
input: a string feature.  
output: a string feature.## Dataset Creation

This dataset was created from Snippet-MLSUM-500. See Snippet-MLSUM-500 for the dataset without instructions.  
Instructions were generated with GPT-3.5 from a human-curated seed-set of instructions.## Considerations for Using the Data### Known Limitations

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

See Instruct-Snippet-MLSUM-500-V2 if you are interested in an improved successor, with further support for summaries.### Licensing Information

This dataset is licensed under MIT license.