--- configs: - config_name: labels data_files: data/labels.json - config_name: templates data_files: data/templates.json - config_name: conversations.country data_files: - path: data/country/test.json split: test - path: data/country/dev.json split: dev - path: data/country/train.json split: train - config_name: conversations.historical_event data_files: - path: data/historical_event/test.json split: test - path: data/historical_event/dev.json split: dev - path: data/historical_event/train.json split: train - config_name: conversations.food data_files: - path: data/food/test.json split: test - path: data/food/dev.json split: dev - path: data/food/train.json split: train - config_name: conversations.space_object data_files: - path: data/space_object/test.json split: test - config_name: conversations.with_unseen_properties data_files: - path: data/with_unseen_properties/test.json split: test - config_name: conversations.taxon data_files: - path: data/taxon/test.json split: test - config_name: conversations.person data_files: - path: data/person/test.json split: test - path: data/person/dev.json split: dev - path: data/person/train.json split: train - config_name: conversations.ideology data_files: - path: data/ideology/test.json split: test - path: data/ideology/dev.json split: dev - path: data/ideology/train.json split: train - config_name: conversations.molecular_entity data_files: - path: data/molecular_entity/test.json split: test - path: data/molecular_entity/dev.json split: dev - path: data/molecular_entity/train.json split: train --- # KGConv, a Conversational Corpus grounded in Wikidata ## Table of Contents - [Dataset Card Creation Guide](#dataset-card-creation-guide) - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - **Repository:** [https://github.com/Orange-OpenSource/KGConv/]() - **Paper:** [https://arxiv.org/abs/2308.15298]() - **Point of Contact:** , , , ### Dataset Summary KGConv is a large corpus of 71k english conversations where each question-answer pair is grounded in a Wikidata fact. The conversations were generated automatically: in particular, questions were created using a collection of 10,355 templates; subsequently, the naturalness of conversations was improved by inserting ellipses and coreference into questions, via both handcrafted rules and a generative rewriting model. The dataset thus provides several variants of each question (12 on average), organized into 3 levels of conversationality. KGConv can further be used for other generation and analysis tasks such as single-turn question generation from Wikidata triples, question rewriting, question answering from conversation or from knowledge graphs and quiz generation. ### Languages English. ## Dataset Structure The dataset has three components: - **conversation configs**, divided in several themes that correspond to configs of the form `conversations.theme`, where theme has to be replaced by one of the following: country, food, historical_event, ideology, molecular_entity, person, space_object, taxon, with_unseen_properties; - **labels**, a config that contains labels for all entities and properties involved in the conversations; - **templates**, a config that contains the templates that where used for generating questions. ### Data Instances Instance from the configs with name of the form "conversations.theme" (e.g. "conversations.country") have the following form: ``` { "conversation_id": "69795", "root_neighbourhood": [ [ "Q6138903", "P106", "Q82955" ], [ "Q6138903", "P19", "Q3408680" ], ... ], "conversation": [ { "triple": [ "Q691", "P30", "Q538" ], "question variants": [ { "out-of-context": "In which continent is Papua New Guinea located?", "in-context": "In which continent is Papua New Guinea located?", "in-context subject ref": "Papua New Guinea", "synthetic-in-context": "In which continent is Papua New Guinea located?" }, { "out-of-context": "In what continent is Papua New Guinea in?", "in-context": "In what continent is Papua New Guinea in?", "in-context subject ref": "Papua New Guinea", "synthetic-in-context": "In what continent is Papua New Guinea in?" }, ... ], "answer": "Oceania" }, { "triple": [ "Q691", "P38", "Q200759" ], "question variants": [ { "out-of-context": "What is accepted as the currency of Papua New Guinea?", "in-context": "What is accepted as the currency of Papua New Guinea?", "in-context subject ref": "Papua New Guinea", "synthetic-in-context": "What is accepted as the currency?" }, { "out-of-context": "What is the currency of Papua New Guinea?", "in-context": "What is the currency of Papua New Guinea?", "in-context subject ref": "Papua New Guinea", "synthetic-in-context": "What is the currency?" }, ... ], "answer": "kina" }, ... ``` Instances from the `labels` config are like this: ``` { "entity": "Q39", "labels": [ "Swiss Confederation", "CHE", "Confoederatio Helvetica", "Swiss", "Schweiz", "SUI", "Switzerland", "CH", "Suisse", "Svizzera" ], "preferred_label": "Switzerland" } ``` Instances from the `templates` config are as follows. ``` { "template_key": { "p": "P1201", "s_types": [ "Q149918" ], "o_types": [] }, "templates": [ { "left": "what is the space tug of ", "right": "?", "source": "interface:automatic labeler" }, { "left": "what was the space tug of ", "right": "?", "source": "interface:624dc1cd4432b5035ba082df" }, ... ] } ``` ### Data Fields The fields from the configs with name of the form "conversations.theme" (e.g. "conversations.country") are the following: - `conversation`: list of dicts; each dict reprensent one question+answer and has the following fields: - `conversation_id`: string - `root_neighbourhood`: list of triples (each triple is itself represented by a list of 3 string elements) that constitute the neighbourhood of the conversation root entity in the knowledge graph (see the LREC publication for more details) - `triple`: triple on which the question is based (list of three string elements) - `question variants`: list of dict; each dict contain several forms of a question obtained via a given template (see the LREC publication for more details) - `out-of-context`: one form of the question variant - `in-context`: another form of the question variant - `in-context subject ref`: how the subject is referred to in the in-context form - `synthetic-in-context`: yet another form of the question variant - `answer`: answer to the question (string) The fields from the `labels` config are the following: - `entity`: string, id of the entity - `labels`: list of strings - `preferred_label`: string The fields from the `templates` config are the following: - `template_key`: a dict containing the conditions for using the templates listed in `templates`, with the following fields: - `p`: id of the property - `s_types`: required types for subject - `o_types`: require types for object - `templates`: list of dicts representing templates; each dict has the following fields: - `left`: left part of the template - `right`: right part of the template - `source`: origin of the template (string) ## Additional Information ### Licensing Information This software is distributed under the Creative Commons Attribution 4.0 International, the text of which is available at https://spdx.org/licenses/CC-BY-4.0.html or see the "license.txt" file for more details. ### Citation Information ``` @article{brabant2023kgconv, title={KGConv, a Conversational Corpus grounded in Wikidata}, author={Quentin Brabant and Gwenole Lecorve and Lina M. Rojas-Barahona and Claire Gardent}, year={2023}, eprint={2308.15298}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```