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https://github.com/wassname/Castor.git
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Linqing Liu
de56206fe4
* add SNLI dataset * add STS-2014 * add trainers and evaluators for Quora * add quora in datasets/ * process the merge confict in common/dataset.py
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
from .trainers.sick_trainer import SICKTrainer
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from .trainers.msrvid_trainer import MSRVIDTrainer
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from .trainers.trecqa_trainer import TRECQATrainer
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from .trainers.wikiqa_trainer import WikiQATrainer
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from .trainers.pit2015_trainer import PIT2015Trainer
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from .trainers.sst_trainer import SSTTrainer
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from .trainers.reuters_trainer import ReutersTrainer
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from .trainers.snli_trainer import SNLITrainer
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from .trainers.sts2014_trainer import STS2014Trainer
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from .trainers.quora_trainer import QuoraTrainer
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from nce.nce_pairwise_mp.trainers.trecqa_trainer import TRECQATrainerNCE
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from nce.nce_pairwise_mp.trainers.wikiqa_trainer import WikiQATrainerNCE
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class TrainerFactory(object):
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"""
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Get the corresponding Trainer class for a particular dataset.
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"""
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trainer_map = {
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'sick': SICKTrainer,
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'msrvid': MSRVIDTrainer,
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'SST-1': SSTTrainer,
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'SST-2': SSTTrainer,
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'trecqa': TRECQATrainer,
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'wikiqa': WikiQATrainer,
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'pit2015': PIT2015Trainer,
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'twitterurl': PIT2015Trainer,
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'Reuters': ReutersTrainer,
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'snli': SNLITrainer,
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'sts2014': STS2014Trainer,
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'quora': QuoraTrainer
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}
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trainer_map_nce = {
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'trecqa': TRECQATrainerNCE,
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'wikiqa': WikiQATrainerNCE
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}
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@staticmethod
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def get_trainer(dataset_name, model, embedding, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator=None, nce=False):
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if nce:
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trainer_map = TrainerFactory.trainer_map_nce
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else:
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trainer_map = TrainerFactory.trainer_map
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if dataset_name not in trainer_map:
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raise ValueError('{} is not implemented.'.format(dataset_name))
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return trainer_map[dataset_name](
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model, embedding, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator
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)
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