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jointly training on SEAME and QG dataset
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.gitignore

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@@ -14,6 +14,7 @@ tasks/*/log*
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tasks/*/scripts/log*
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tasks/*/scripts/*tmp*
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tasks/lm/models/
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tasks/lm/data/
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!tasks/*/log.py
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!tasks/lm/data/
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tasks/lm/configs.py

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parser.add_argument('--models_dir', help='save model dir', type=str, default='models')
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parser.add_argument('--log_dir', help='logging dir', type=str, default='log')
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parser.add_argument('--gpu_id', help='GPU to be used if any', type=int, default=0)
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parser.add_argument('--qg', help='use QG dataset for data augumentation', type=bool, default=False)
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args = parser.parse_args()
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tasks/lm/data/QGdata/weibo_pair_dev_Q_post.txt

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tasks/lm/data/QGdata/weibo_pair_dev_Q_response.txt

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