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---
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---
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configs:
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- 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:
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- path: data/country/test.json
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split: test
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- path: data/country/dev.json
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split: dev
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- path: data/country/train.json
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split: train
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- config_name: conversations.historical_event
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data_files:
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- path: data/historical_event/test.json
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split: test
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- path: data/historical_event/dev.json
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split: dev
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- path: data/historical_event/train.json
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split: train
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- config_name: conversations.food
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data_files:
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- path: data/food/test.json
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split: test
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- path: data/food/dev.json
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split: dev
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- path: data/food/train.json
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split: train
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- config_name: conversations.space_object
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data_files:
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- path: data/space_object/test.json
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split: test
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- config_name: conversations.with_unseen_properties
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data_files:
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- path: data/with_unseen_properties/test.json
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split: test
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- config_name: conversations.taxon
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data_files:
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- path: data/taxon/test.json
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split: test
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- config_name: conversations.person
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data_files:
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- path: data/person/test.json
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split: test
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- path: data/person/dev.json
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split: dev
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- path: data/person/train.json
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split: train
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- config_name: conversations.ideology
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data_files:
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- path: data/ideology/test.json
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split: test
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- path: data/ideology/dev.json
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split: dev
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- path: data/ideology/train.json
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split: train
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- config_name: conversations.molecular_entity
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data_files:
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- path: data/molecular_entity/test.json
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split: test
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- path: data/molecular_entity/dev.json
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split: dev
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- path: data/molecular_entity/train.json
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split: train
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---
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# KGConv, a Conversational Corpus grounded in Wikidata
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## Table of Contents
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- [Dataset Card Creation Guide](#dataset-card-creation-guide)
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Repository:** [https://github.com/Orange-OpenSource/KGConv/]()
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- **Paper:** [https://arxiv.org/abs/2308.15298]()
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- **Point of Contact:** <quentin.brabant@orange.com>, <gwenole.lecorve@orange.com>, <linamaria.rojasbarahona@orange.com>, <claire.gardent@loria.fr>
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### Dataset Summary
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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.
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### Languages
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English.
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## Dataset Structure
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### Data Instances
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Instance from the configs with name of the form "conversations.theme" (e.g. "conversations.country") have the following form:
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```
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{
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"conversation_id": "69795",
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"root_neighbourhood": [
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[
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"Q6138903",
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"P106",
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"Q82955"
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],
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[
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"Q6138903",
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"P19",
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"Q3408680"
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],
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...
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],
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"conversation": [
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{
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"triple": [
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"Q691",
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"P30",
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"Q538"
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],
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"question variants": [
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{
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"out-of-context": "In which continent is Papua New Guinea located?",
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"in-context": "In which continent is Papua New Guinea located?",
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"in-context subject ref": "Papua New Guinea",
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"synthetic-in-context": "In which continent is Papua New Guinea located?"
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},
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{
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"out-of-context": "In what continent is Papua New Guinea in?",
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"in-context": "In what continent is Papua New Guinea in?",
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"in-context subject ref": "Papua New Guinea",
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"synthetic-in-context": "In what continent is Papua New Guinea in?"
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},
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...
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],
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"answer": "Oceania"
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},
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{
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"triple": [
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"Q691",
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"P38",
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"Q200759"
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],
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"question variants": [
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{
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"out-of-context": "What is accepted as the currency of Papua New Guinea?",
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"in-context": "What is accepted as the currency of Papua New Guinea?",
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"in-context subject ref": "Papua New Guinea",
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"synthetic-in-context": "What is accepted as the currency?"
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},
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{
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"out-of-context": "What is the currency of Papua New Guinea?",
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"in-context": "What is the currency of Papua New Guinea?",
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"in-context subject ref": "Papua New Guinea",
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"synthetic-in-context": "What is the currency?"
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},
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...
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],
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"answer": "kina"
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},
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...
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```
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Instances from the `labels` config are like this:
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```
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{
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"entity": "Q39",
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"labels": [
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"Swiss Confederation",
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"CHE",
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"Confoederatio Helvetica",
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"Swiss",
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"Schweiz",
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"SUI",
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"Switzerland",
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"CH",
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"Suisse",
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"Svizzera"
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],
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"preferred_label": "Switzerland"
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}
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```
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Instances from the `templates` config are as follows.
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```
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{
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"template_key": {
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"p": "P1201",
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"s_types": [
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"Q149918"
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],
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"o_types": []
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},
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"templates": [
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{
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"left": "what is the space tug of ",
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"right": "?",
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"source": "interface:automatic labeler"
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},
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{
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"left": "what was the space tug of ",
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"right": "?",
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"source": "interface:624dc1cd4432b5035ba082df"
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},
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...
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]
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}
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```
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### Data Fields
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The fields from the configs with name of the form "conversations.theme" (e.g. "conversations.country") are the following:
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- `conversation`: list of dicts; each dict reprensent one question+answer and has the following fields:
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- `conversation_id`: string
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- `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)
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- `triple`: triple on which the question is based (list of three string elements)
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- `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)
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- `out-of-context`: one form of the question variant
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- `in-context`: another form of the question variant
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- `in-context subject ref`: how the subject is referred to in the in-context form
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- `synthetic-in-context`: yet another form of the question variant
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- `answer`: answer to the question (string)
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The fields from the `labels` config are the following:
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- `entity`: string, id of the entity
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- `labels`: list of strings
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- `preferred_label`: string
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The fields from the `templates` config are the following:
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- `template_key`: a dict containing the conditions for using the templates listed in `templates`, with the following fields:
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- `p`: id of the property
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- `s_types`: required types for subject
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- `o_types`: require types for object
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- `templates`: list of dicts representing templates; each dict has the following fields:
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- `left`: left part of the template
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- `right`: right part of the template
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- `source`: origin of the template (string)
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## Additional Information
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### Licensing Information
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This software is distributed under the Creative Commons Attribution 4.0 International,
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the text of which is available at https://spdx.org/licenses/CC-BY-4.0.html
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or see the "license.txt" file for more details.
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### Citation Information
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```
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@article{brabant2023kgconv,
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title={KGConv, a Conversational Corpus grounded in Wikidata},
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author={Quentin Brabant and Gwenole Lecorve and Lina M. Rojas-Barahona and Claire Gardent},
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year={2023},
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eprint={2308.15298},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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