dialogue listlengths 6 18 | scenario dict |
|---|---|
[
{
"annotated_knowledge": null,
"annotated_query": null,
"image": null,
"turn": "user",
"utterance": "i need to find an expensive restauant that 's in the south section of the city ."
},
{
"annotated_knowledge": [
{
"address": "64 cherry hinton road cherry hinton",
"... | {
"kb": {
"column_names": [
"address",
"area",
"food",
"id",
"location",
"name",
"phone",
"postcode",
"pricerange",
"type"
],
"items": [
{
"address": "64 cherry hinton road cherry hinton",
"area": "south",
"bar": nul... |
[
{
"annotated_knowledge": null,
"annotated_query": null,
"image": null,
"turn": "user",
"utterance": "i am looking for a restaurant that is moderately priced and serves cantonese food ."
},
{
"annotated_knowledge": [
{
"address": "191 histon road chesterton",
"area":... | {
"kb": {
"column_names": [
"address",
"area",
"food",
"id",
"location",
"name",
"phone",
"postcode",
"pricerange",
"type"
],
"items": [
{
"address": "64 cherry hinton road cherry hinton",
"area": "south",
"bar": nul... |
[
{
"annotated_knowledge": null,
"annotated_query": null,
"image": null,
"turn": "user",
"utterance": "hello , i am looking for an expensive restaurant that serves australian food ."
},
{
"annotated_knowledge": [
{
"address": "51 trumpington street city centre",
"area... | {
"kb": {
"column_names": [
"address",
"area",
"food",
"id",
"location",
"name",
"phone",
"postcode",
"pricerange",
"type"
],
"items": [
{
"address": "51 trumpington street city centre",
"area": "centre",
"bar": "res... |
[
{
"annotated_knowledge": null,
"annotated_query": null,
"image": null,
"turn": "user",
"utterance": "i am wanting an expensive restaurant that offers african food . what is their number ?"
},
{
"annotated_knowledge": [
{
"address": "100 mill road city centre",
"area... | {
"kb": {
"column_names": [
"address",
"area",
"food",
"id",
"location",
"name",
"phone",
"postcode",
"pricerange",
"type"
],
"items": [
{
"address": "g4 cambridge leisure park clifton way cherry hinton",
"area": "south",
... |
[
{
"annotated_knowledge": null,
"annotated_query": null,
"image": null,
"turn": "user",
"utterance": "i would like a moderately priced restaurant in the north part of town ."
},
{
"annotated_knowledge": [
{
"address": "191 histon road chesterton",
"area": "north",
... | {
"kb": {
"column_names": [
"address",
"area",
"food",
"id",
"location",
"name",
"phone",
"postcode",
"pricerange",
"type"
],
"items": [
{
"address": "64 cherry hinton road cherry hinton",
"area": "south",
"bar": nul... |
[
{
"annotated_knowledge": null,
"annotated_query": null,
"image": null,
"turn": "user",
"utterance": "i want somewhere that serves traditional food ."
},
{
"annotated_knowledge": [
{
"address": "40210 millers yard city centre",
"area": "centre",
"bar": "resta... | {
"kb": {
"column_names": [
"address",
"area",
"food",
"id",
"location",
"name",
"phone",
"postcode",
"pricerange",
"type"
],
"items": [
{
"address": "finders corner newmarket road",
"area": "east",
"bar": null,
... |
[{"annotated_knowledge":null,"annotated_query":null,"image":null,"turn":"user","utterance":"is there(...TRUNCATED) | {"kb":{"column_names":["address","area","food","id","location","name","phone","postcode","pricerange(...TRUNCATED) |
[{"annotated_knowledge":null,"annotated_query":null,"image":null,"turn":"user","utterance":"i want a(...TRUNCATED) | {"kb":{"column_names":["address","area","food","id","location","name","phone","postcode","pricerange(...TRUNCATED) |
[{"annotated_knowledge":null,"annotated_query":null,"image":null,"turn":"user","utterance":"i 'd lik(...TRUNCATED) | {"kb":{"column_names":["address","area","food","id","location","name","phone","postcode","pricerange(...TRUNCATED) |
[{"annotated_knowledge":null,"annotated_query":null,"image":null,"turn":"user","utterance":"i 'd lik(...TRUNCATED) | {"kb":{"column_names":["address","area","food","id","location","name","phone","postcode","pricerange(...TRUNCATED) |
End of preview. Expand in Data Studio
MuCoK is a new multimodal dialogue dataset. This dataset includes a multimodal knowledge base and a multimodal dialogue context specifically focused on restaurant reservation.
If you find our dataset helpful, feel free to give us a cite.
Citation
BibTeX:
@inproceedings{dong2025mind,
title={MIND: A Unified Multi-Modal Context-Knowledge Model for Task-Oriented Dialogue},
author={Dong, Xuelian and Chen, Jiale and Wei, Chaoyu and Ke, Chehao and Hao, Tianyong},
booktitle={2025 International Joint Conference on Neural Networks (IJCNN)},
pages={1--8},
year={2025},
organization={IEEE}
}
More information will be released soon.
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