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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@@ -11,7 +11,7 @@ MuLD (Multitask Long Document Benchmark) is a set of 6 NLP tasks where the input
 The 6 MuLD tasks consist of:
 - **NarrativeQA** - A question answering dataset requiring an understanding of the plot of books and films.
 - **HotpotQA** - An expanded version of HotpotQA requiring multihop reasoning between multiple wikipedia pages. This expanded version includes the full Wikipedia pages.
-- ** OpenSubtitles**
 - **VLSP (Very Long Scientific Papers)**
 - **AO3 Style Change Detection**
 - **Character Type Identification**

 The 6 MuLD tasks consist of:
 - **NarrativeQA** - A question answering dataset requiring an understanding of the plot of books and films.
 - **HotpotQA** - An expanded version of HotpotQA requiring multihop reasoning between multiple wikipedia pages. This expanded version includes the full Wikipedia pages.
+- **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.
 - **VLSP (Very Long Scientific Papers)**
 - **AO3 Style Change Detection**
 - **Character Type Identification**