We also perform experiments on two goal-oriented dialogue datasets that contain conversations between humans wherein the conversations were collected in a Wizard-of-Oz (WOZ) manner.
we use the Cam676 dataset (Wen et al., 2017), which contains 676 KBgrounded dialogues from the restaurant domain  1 2 L Rule-Based (Bordes et al., 2017) 33.3 − − − − − MEMNN (Bordes et al., 2017) 41.1 − − − − − QRN (Seo et al., 2017) 50.7 − − − − − GMEMNN (Liu and Perez, 2017) 48.7 − − − − − Seq2Seq-Attn (Bahdanau et al., 2015) 46.0 57.3 67.2 56.0 64.9 67.1 Seq2Seq-Attn+Copy  47.3 55.4 − − − 71.6 HRED (Serban et al., 2016) 48.9 58.4 67.9 57.6 65.7 75.6 Mem2Seq (Madotto et al., 2018) 45  (Budzianowski et al., 2018) dataset, which contains 10,438 dialogues.