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@@ -11,7 +11,7 @@ MuLD (Multitask Long Document Benchmark) is a set of 6 NLP tasks where the input
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  The 6 MuLD tasks consist of:
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  - **NarrativeQA** - A question answering dataset requiring an understanding of the plot of books and films.
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  - **HotpotQA** - An expanded version of HotpotQA requiring multihop reasoning between multiple wikipedia pages. This expanded version includes the full Wikipedia pages.
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- - ** OpenSubtitles**
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  - **VLSP (Very Long Scientific Papers)**
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  - **AO3 Style Change Detection**
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  - **Character Type Identification**
 
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  The 6 MuLD tasks consist of:
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  - **NarrativeQA** - A question answering dataset requiring an understanding of the plot of books and films.
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  - **HotpotQA** - An expanded version of HotpotQA requiring multihop reasoning between multiple wikipedia pages. This expanded version includes the full Wikipedia pages.
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+ - **OpenSubtitles** - A translation dataset based on the OpenSubtitles 2018 dataset. The entire subtitles for each tv show is provided, one subtitle per line in both English and German.
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  - **VLSP (Very Long Scientific Papers)**
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  - **AO3 Style Change Detection**
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  - **Character Type Identification**