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--- |
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license: mit |
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language: de |
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tags: |
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- news |
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- headline generation |
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- teaser generation |
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- keyword generation |
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- summarization |
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- tweet generation |
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- serp generation |
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- news snippet generation |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- summarization |
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- text2text-generation |
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pretty_name: Instruct-Snippet-MLSUM-500-V2 |
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--- |
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# Dataset Card for Instruct-Snippet-MLSUM-500-V2 |
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### Dataset Summary |
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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. |
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### Supported Tasks |
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This dataset was created to support the task of generating news snippets such as title, teaser, summary, keywords, serp and tweet for news articles in German language. |
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### Languages |
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de - German |
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## Dataset Structure |
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lable: a string feature. |
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instruction: a string feature. |
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input: a string feature. |
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output: a string feature. |
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## Dataset Creation |
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This dataset was created from Snippet-MLSUM-500-V2. See [Snippet-MLSUM-500-V2](https://huggingface.co/datasets/snipaid/snippet-mlsum-500-V2) for the dataset without instructions. |
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Instructions were generated with GPT-3.5 from a human-curated seed-set of instructions. |
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## Considerations for Using the Data |
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### Known Limitations |
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Part of the snippet data is machine generated. Be aware that these features (specifically: output) may exhibit signs of model hallucination, toxicity and stereotypes. |
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## Additional Information |
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### Licensing Information |
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This dataset is licensed under MIT license. |
