E-commerce

Dataset Information
Modalities
Images, Texts
Languages
English
Introduced
2018
License
Unknown
Homepage
Official Website
Contents

Overview

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.

Variants: E-commerce

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Conversational Response Selection DialMAE Dial-MAE: ConTextual Masked Auto-Encoder for … 2023-06-07
Conversational Response Selection BERT-TL Two-Level Supervised Contrastive Learning for … 2022-03-01
Conversational Response Selection SA-BERT+HCL Dialogue Response Selection with Hierarchical … 2020-12-29
Conversational Response Selection BERT-SL Learning an Effective Context-Response Matching … 2020-09-14
Conversational Response Selection UMS_BERT+ Do Response Selection Models Really … 2020-09-10
Conversational Response Selection SA-BERT Speaker-Aware BERT for Multi-Turn Response … 2020-04-07
Conversational Response Selection G-MSN The World is Not Binary: … 2020-04-06
Conversational Response Selection U2U-IMN Utterance-to-Utterance Interactive Matching Network for … 2019-11-16
Conversational Response Selection IMN Interactive Matching Network for Multi-Turn … 2019-01-07
Conversational Response Selection DUA Modeling Multi-turn Conversation with Deep … 2018-06-24
Conversational Response Selection SMN Sequential Matching Network: A New … 2016-12-06

Research Papers

Recent papers with results on this dataset:

External Links: