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Task Adapters

Pre-trained model:

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bert bart xlm-roberta distilbert gpt2 roberta mbart

Quartz

QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each question is paired with one of 405 different background sentences (sometimes short paragraphs). The QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with one of 405 different background sentences (sometimes short paragraphs). The dataset is split into train (2696), dev (384) and test (784). A background sentence will only appear in a single split.
🤗  huggingface.co
AdapterHub/bert-base-uncased-pf-quartz bert-base-uncased
huggingface.co Head: 

# Adapter `AdapterHub/bert-base-uncased-pf-quartz` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the...

AdapterHub/roberta-base-pf-quartz roberta-base
huggingface.co Head: 

# Adapter `AdapterHub/roberta-base-pf-quartz` for roberta-base An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the...

Paper | Imprint & Privacy

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