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Task Adapters

Pre-trained model:

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distilbert bert xlm-roberta roberta bart gpt2 mbart

Scicite

This is a dataset for classifying citation intents in academic papers. The main citation intent label for each Json object is specified with the label key while the citation context is specified in with a context key. Example: { 'string': 'In chacma baboons, male-infant relationships can be linked to both formation of friendships and paternity success [30,31].' 'sectionName': 'Introduction', 'label': 'background', 'citingPaperId': '7a6b2d4b405439', 'citedPaperId': '9d1abadc55b5e0', ... } You may obtain the full information about the paper using the provided paper ids with the Semantic Scholar API (https://api.semanticscholar.org/). The labels are: Method, Background, Result
🤗  huggingface.co
AdapterHub/bert-base-uncased-pf-scicite bert-base-uncased
huggingface.co Head: 

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

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

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

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