README.md

---
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:** <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}
}
```