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@@ -42,8 +42,8 @@ The 6 MuLD tasks consist of:
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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)** - An expanded version of the Scientific Papers summarization dataset. Instead of removing very long papers (e.g. thesis), we explicitly include them removing any short papers.
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- - **AO3 Style Change Detection**
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- - **Movie Character Types**
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  ### Dataset Structure
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  The data is presented in a text-to-text format where each instance contains a input string, output string and (optionally) json encoded metadata.
 
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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)** - An expanded version of the Scientific Papers summarization dataset. Instead of removing very long papers (e.g. thesis), we explicitly include them removing any short papers.
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+ - **AO3 Style Change Detection** - Consists of documents formed from the work of multiple [Archive of Our Own](ao3.org) authors, where the task is to predict the author for each paragraph.
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+ - **Movie Character Types** - Predicting whether a named character is the Hero/Villain given a movie script.
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  ### Dataset Structure
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  The data is presented in a text-to-text format where each instance contains a input string, output string and (optionally) json encoded metadata.