|
--- |
|
configs: |
|
- config_name: labels |
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data_files: data/labels.json |
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- config_name: templates |
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data_files: data/templates.json |
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- config_name: conversations.country |
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data_files: |
|
- path: data/country/test.json |
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split: test |
|
- path: data/country/dev.json |
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split: dev |
|
- path: data/country/train.json |
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split: train |
|
- config_name: conversations.historical_event |
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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:** <quentin.brabant@orange.com>, <gwenole.lecorve@orange.com>, <linamaria.rojasbarahona@orange.com>, <claire.gardent@loria.fr> |
|
|
|
### 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} |
|
} |
|
``` |
