Datasets:
Sub-tasks:
dialogue-modeling
Languages:
Chinese
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - crowdsourced | |
| - machine-generated | |
| language_creators: | |
| - crowdsourced | |
| language: | |
| - zh | |
| license: | |
| - apache-2.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-generation | |
| - fill-mask | |
| task_ids: | |
| - dialogue-modeling | |
| paperswithcode_id: kdconv | |
| pretty_name: Knowledge-driven Conversation | |
| dataset_info: | |
| - config_name: travel_dialogues | |
| features: | |
| - name: messages | |
| sequence: | |
| - name: message | |
| dtype: string | |
| - name: attrs | |
| sequence: | |
| - name: attrname | |
| dtype: string | |
| - name: attrvalue | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 3241550 | |
| num_examples: 1200 | |
| - name: test | |
| num_bytes: 793883 | |
| num_examples: 150 | |
| - name: validation | |
| num_bytes: 617177 | |
| num_examples: 150 | |
| download_size: 11037768 | |
| dataset_size: 4652610 | |
| - config_name: travel_knowledge_base | |
| features: | |
| - name: head_entity | |
| dtype: string | |
| - name: kb_triplets | |
| sequence: | |
| sequence: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 1517024 | |
| num_examples: 1154 | |
| download_size: 11037768 | |
| dataset_size: 1517024 | |
| - config_name: music_dialogues | |
| features: | |
| - name: messages | |
| sequence: | |
| - name: message | |
| dtype: string | |
| - name: attrs | |
| sequence: | |
| - name: attrname | |
| dtype: string | |
| - name: attrvalue | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 3006192 | |
| num_examples: 1200 | |
| - name: test | |
| num_bytes: 801012 | |
| num_examples: 150 | |
| - name: validation | |
| num_bytes: 633905 | |
| num_examples: 150 | |
| download_size: 11037768 | |
| dataset_size: 4441109 | |
| - config_name: music_knowledge_base | |
| features: | |
| - name: head_entity | |
| dtype: string | |
| - name: kb_triplets | |
| sequence: | |
| sequence: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 5980643 | |
| num_examples: 4441 | |
| download_size: 11037768 | |
| dataset_size: 5980643 | |
| - config_name: film_dialogues | |
| features: | |
| - name: messages | |
| sequence: | |
| - name: message | |
| dtype: string | |
| - name: attrs | |
| sequence: | |
| - name: attrname | |
| dtype: string | |
| - name: attrvalue | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 4867659 | |
| num_examples: 1200 | |
| - name: test | |
| num_bytes: 956995 | |
| num_examples: 150 | |
| - name: validation | |
| num_bytes: 884232 | |
| num_examples: 150 | |
| download_size: 11037768 | |
| dataset_size: 6708886 | |
| - config_name: film_knowledge_base | |
| features: | |
| - name: head_entity | |
| dtype: string | |
| - name: kb_triplets | |
| sequence: | |
| sequence: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 10500882 | |
| num_examples: 8090 | |
| download_size: 11037768 | |
| dataset_size: 10500882 | |
| - config_name: all_dialogues | |
| features: | |
| - name: messages | |
| sequence: | |
| - name: message | |
| dtype: string | |
| - name: attrs | |
| sequence: | |
| - name: attrname | |
| dtype: string | |
| - name: attrvalue | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: name | |
| dtype: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 11115313 | |
| num_examples: 3600 | |
| - name: test | |
| num_bytes: 2551802 | |
| num_examples: 450 | |
| - name: validation | |
| num_bytes: 2135226 | |
| num_examples: 450 | |
| download_size: 11037768 | |
| dataset_size: 15802341 | |
| - config_name: all_knowledge_base | |
| features: | |
| - name: head_entity | |
| dtype: string | |
| - name: kb_triplets | |
| sequence: | |
| sequence: string | |
| - name: domain | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 17998529 | |
| num_examples: 13685 | |
| download_size: 11037768 | |
| dataset_size: 17998529 | |
| # Dataset Card for KdConv | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Repository:** [Github](https://github.com/thu-coai/KdConv) | |
| - **Paper:** [{K}d{C}onv: A {C}hinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation](https://www.aclweb.org/anthology/2020.acl-main.635.pdf) | |
| ### Dataset Summary | |
| KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn | |
| conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), | |
| and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related | |
| topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer | |
| learning and domain adaptation. | |
| ### Supported Tasks and Leaderboards | |
| This dataset can be leveraged for dialogue modelling tasks involving multi-turn and Knowledge base setup. | |
| ### Languages | |
| This dataset has only Chinese Language. | |
| ## Dataset Structure | |
| ### Data Instances | |
| Each data instance is a multi-turn conversation between 2 people with annotated knowledge base data used while talking | |
| , e.g.: | |
| ``` | |
| { | |
| "messages": [ | |
| { | |
| "message": "对《我喜欢上你时的内心活动》这首歌有了解吗？" | |
| }, | |
| { | |
| "attrs": [ | |
| { | |
| "attrname": "Information", | |
| "attrvalue": "《我喜欢上你时的内心活动》是由韩寒填词，陈光荣作曲，陈绮贞演唱的歌曲，作为电影《喜欢你》的主题曲于2017年4月10日首发。2018年，该曲先后提名第37届香港电影金像奖最佳原创电影歌曲奖、第7届阿比鹿音乐奖流行单曲奖。", | |
| "name": "我喜欢上你时的内心活动" | |
| } | |
| ], | |
| "message": "有些了解，是电影《喜欢你》的主题曲。" | |
| }, | |
| ... | |
| { | |
| "attrs": [ | |
| { | |
| "attrname": "代表作品", | |
| "attrvalue": "旅行的意义", | |
| "name": "陈绮贞" | |
| }, | |
| { | |
| "attrname": "代表作品", | |
| "attrvalue": "时间的歌", | |
| "name": "陈绮贞" | |
| } | |
| ], | |
| "message": "我还知道《旅行的意义》与《时间的歌》，都算是她的代表作。" | |
| }, | |
| { | |
| "message": "好，有时间我找出来听听。" | |
| } | |
| ], | |
| "name": "我喜欢上你时的内心活动" | |
| } | |
| ``` | |
| The corresponding entries in Knowledge base is a dictionary with list of knowledge base triplets (head entity | |
| , relationship, tail entity), e.g.: | |
| ``` | |
| "忽然之间": [ | |
| [ | |
| "忽然之间", | |
| "Information", | |
| "《忽然之间》是歌手 莫文蔚演唱的歌曲，由 周耀辉， 李卓雄填词， 林健华谱曲，收录在莫文蔚1999年发行专辑《 就是莫文蔚》里。" | |
| ], | |
| [ | |
| "忽然之间", | |
| "谱曲", | |
| "林健华" | |
| ] | |
| ... | |
| ] | |
| ``` | |
| ### Data Fields | |
| Conversation data fields: | |
| - `name`: the starting topic (entity) of the conversation | |
| - `domain`: the domain this sample belongs to. Categorical value among `{travel, film, music}` | |
| - `messages`: list of all the turns in the dialogue. For each turn: | |
| - `message`: the utterance | |
| - `attrs`: list of knowledge graph triplets referred by the utterance. For each triplet: | |
| - `name`: the head entity | |
| - `attrname`: the relation | |
| - `attrvalue`: the tail entity | |
| Knowledge Base data fields: | |
| - `head_entity`: the head entity | |
| - `kb_triplets`: list of corresponding triplets | |
| - `domain`: the domain this sample belongs to. Categorical value among `{travel, film, music}` | |
| ### Data Splits | |
| The conversation dataset is split into a `train`, `validation`, and `test` split with the following sizes: | |
| | | train | validation | test | | |
| |--------|------:|-----------:|-----:| | |
| | travel | 1200 | 1200 | 1200 | | |
| | film | 1200 | 150 | 150 | | |
| | music | 1200 | 150 | 150 | | |
| | all | 3600 | 450 | 450 | | |
| The Knowledge base dataset is having only train split with following sizes: | |
| | | train | | |
| |--------|------:| | |
| | travel | 1154 | | |
| | film | 8090 | | |
| | music | 4441 | | |
| | all | 13685 | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed] | |
| ### Licensing Information | |
| Apache License 2.0 | |
| ### Citation Information | |
| ``` | |
| @inproceedings{zhou-etal-2020-kdconv, | |
| title = "{K}d{C}onv: A {C}hinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation", | |
| author = "Zhou, Hao and | |
| Zheng, Chujie and | |
| Huang, Kaili and | |
| Huang, Minlie and | |
| Zhu, Xiaoyan", | |
| booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics", | |
| month = jul, | |
| year = "2020", | |
| address = "Online", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://www.aclweb.org/anthology/2020.acl-main.635", | |
| doi = "10.18653/v1/2020.acl-main.635", | |
| pages = "7098--7108", | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@pacman100](https://github.com/pacman100) for adding this dataset. |