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Types & classes13 in github.com/OpenBMB/DecT

↓ 1 callersClassDecTRunner
r"""A runner for DecT This class is specially implemented for classification. Args: model (:obj:`PromptForClassification`): One ``Pro
src/dect_trainer.py:22
↓ 1 callersClassDecTVerbalizer
r""" The implementation of the verbalizer in `Prototypical Verbalizer for Prompt-based Few-shot Tuning` Args: tokenizer (:obj:`Pre
src/dect_verbalizer.py:19
ClassAgnewsProcessor
`AG News <https://arxiv.org/pdf/1509.01626.pdf>`_ is a News Topic classification dataset we use dataset provided by `LOTClass <https://g
src/process_data.py:100
ClassDBpediaProcessor
`Dbpedia <https://aclanthology.org/L16-1532.pdf>`_ is a Wikipedia Topic Classification dataset. we use dataset provided by `LOTClass <https:
src/process_data.py:124
ClassFewNERDProcessor
`Few-NERD <https://ningding97.github.io/fewnerd/>`_ a large-scale, fine-grained manually annotated named entity recognition dataset It was r
src/process_data.py:306
ClassImdbProcessor
`IMDB <https://ai.stanford.edu/~ang/papers/acl11-WordVectorsSentimentAnalysis.pdf>`_ is a Movie Review Sentiment Classification dataset. we
src/process_data.py:150
ClassMnlimProcessor
src/process_data.py:73
ClassMnlimmProcessor
src/process_data.py:47
ClassRteProcessor
src/process_data.py:282
ClassSST2Processor
`SST-2 <https://nlp.stanford.edu/sentiment/index.html>`_ dataset is a dataset for sentiment analysis. It is a modified version containing only bi
src/process_data.py:204
ClassSnliProcessor
src/process_data.py:234
ClassYahooProcessor
Yahoo! Answers Topic Classification Dataset
src/process_data.py:179
ClassYelpProcessor
src/process_data.py:260