Introduced in Modeling Multi-turn Conversation with Deep Utterance Aggregation2018
We release E-commerce Dialogue Corpus, comprising a training data set, a development set and a test set for retrieval based chatbot. The statistics of E-commerical Conversation Corpus are shown in the following table.
| |Train|Val| Test | | ------------- |:-------------:|:-------------:|:-------------:| | Session-response pairs | 1m|10k| 10k | | Avg. positive response per session|1|1|1| | Min turn per session|3|3|3| | Max ture per session|10|10|10| | Average turn per session|5.51|5.48|5.64 | Average Word per utterance|7.02|6.99|7.11
The full corpus can be downloaded from https://drive.google.com/file/d/154J-neBo20ABtSmJDvm7DK0eTuieAuvw/view?usp=sharing.
