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Datasets:
ghomasHudson
/
muld

Tasks:
Question Answering
Summarization
Text Generation
Modalities:
Text
Sub-tasks:
abstractive-qa
Languages:
English
German
Size:
100K - 1M
ArXiv:
Tags:
conditional-text-generation
Libraries:
Datasets
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  # MuLD
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  > The Multitask Long Document Benchmark
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- ![](https://user-images.githubusercontent.com/13795113/154329202-e9bb15d1-13ef-4b5f-8f24-9625e2920401.png)
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  MuLD (Multitask Long Document Benchmark) is a set of 6 NLP tasks where the inputs consist of at least 10,000 words. The benchmark covers a wide variety of task types including translation, summarization, question answering, and classification. Additionally there is a range of output lengths from a single word classification label all the way up to an output longer than the input text.
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  # MuLD
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  > The Multitask Long Document Benchmark
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+ ![](https://user-images.githubusercontent.com/13795113/154329493-4dc1d9c6-468f-44d2-ada4-1e6f5eaecbcc.png)
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  MuLD (Multitask Long Document Benchmark) is a set of 6 NLP tasks where the inputs consist of at least 10,000 words. The benchmark covers a wide variety of task types including translation, summarization, question answering, and classification. Additionally there is a range of output lengths from a single word classification label all the way up to an output longer than the input text.
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