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pathes.py 1.3 kB

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  1. glove_100_path = 'en-glove-6b-100d'
  2. glove_50_path = 'en-glove-6b-50d'
  3. glove_200_path = ''
  4. glove_300_path = 'en-glove-840b-300'
  5. fasttext_path = 'en-fasttext' #300
  6. tencent_chinese_word_path = 'cn' # tencent 200
  7. fasttext_cn_path = 'cn-fasttext' # 300
  8. yangjie_rich_pretrain_unigram_path = '/remote-home/xnli/data/pretrain/chinese/gigaword_chn.all.a2b.uni.ite50.vec'
  9. yangjie_rich_pretrain_bigram_path = '/remote-home/xnli/data/pretrain/chinese/gigaword_chn.all.a2b.bi.ite50.vec'
  10. yangjie_rich_pretrain_word_path = '/remote-home/xnli/data/pretrain/chinese/ctb.50d.vec'
  11. conll_2003_path = '/remote-home/xnli/data/corpus/multi_task/conll_2013/data_mine.pkl'
  12. conllized_ontonote_path = '/remote-home/txsun/data/OntoNotes-5.0-NER-master/v12/english'
  13. conllized_ontonote_pkl_path = '/remote-home/txsun/data/ontonotes5.pkl'
  14. sst2_path = '/remote-home/xnli/data/corpus/text_classification/SST-2/'
  15. # weibo_ner_path = '/remote-home/xnli/data/corpus/sequence_labelling/ner_weibo'
  16. ontonote4ner_cn_path = '/remote-home/xnli/data/corpus/sequence_labelling/chinese_ner/OntoNote4NER'
  17. msra_ner_cn_path = '/remote-home/xnli/data/corpus/sequence_labelling/chinese_ner/MSRANER'
  18. resume_ner_path = '/remote-home/xnli/data/corpus/sequence_labelling/chinese_ner/ResumeNER'
  19. weibo_ner_path = '/remote-home/xnli/data/corpus/sequence_labelling/chinese_ner/WeiboNER'