Datasets:

ghomasHudson
/

muld

Tasks:

Question Answering

Text Generation

Sub-tasks:

Languages:

Multilinguality:

Size Categories:

Language Creators:

Annotations Creators:

Source Datasets:

extended|hotpot_qa

extended|open_subtitles

ArXiv:

Tags:

conditional-text-generation

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ghomasHudson commited on Feb 16, 2022

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@@ -30,7 +30,7 @@ task_ids:
 # MuLD
 > The Multitask Long Document Benchmark
-![](https://user-images.githubusercontent.com/13795113/154329493-4dc1d9c6-468f-44d2-ada4-1e6f5eaecbcc.png)
 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.

 # MuLD
 > The Multitask Long Document Benchmark
+![](https://user-images.githubusercontent.com/13795113/154329681-f4aa675f-bef1-46ee-9f28-f4ddb71676dd.png)
 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.