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github.com/OpenBMB/DecT
/ types & classes
Types & classes
13 in github.com/OpenBMB/DecT
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Functions
58
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Types & classes
13
↓ 1 callers
Class
DecTRunner
r"""A runner for DecT This class is specially implemented for classification. Args: model (:obj:`PromptForClassification`): One ``Pro
src/dect_trainer.py:22
↓ 1 callers
Class
DecTVerbalizer
r""" The implementation of the verbalizer in `Prototypical Verbalizer for Prompt-based Few-shot Tuning` Args: tokenizer (:obj:`Pre
src/dect_verbalizer.py:19
Class
AgnewsProcessor
`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
Class
DBpediaProcessor
`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
Class
FewNERDProcessor
`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
Class
ImdbProcessor
`IMDB <https://ai.stanford.edu/~ang/papers/acl11-WordVectorsSentimentAnalysis.pdf>`_ is a Movie Review Sentiment Classification dataset. we
src/process_data.py:150
Class
MnlimProcessor
src/process_data.py:73
Class
MnlimmProcessor
src/process_data.py:47
Class
RteProcessor
src/process_data.py:282
Class
SST2Processor
`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
Class
SnliProcessor
src/process_data.py:234
Class
YahooProcessor
Yahoo! Answers Topic Classification Dataset
src/process_data.py:179
Class
YelpProcessor
src/process_data.py:260