Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
csv
Sub-tasks:
language-modeling
Languages:
English
Size:
< 1K
License:
Update README.md
Browse files
README.md
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```
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Romero, J., & Razniewski, S. (2022).
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---
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annotations_creators:
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- no-annotation
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language:
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- en
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language_creators:
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- crowdsourced
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license:
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- gpl
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multilinguality:
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- monolingual
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pretty_name: InfantBooks
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size_categories:
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- 1M<n<10M
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source_datasets:
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- original
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tags:
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- research paper
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- kids
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- children
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- books
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task_categories:
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- text-generation
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task_ids:
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- language-modeling
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---
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# Dataset Card for InfantBooks
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## Table of Contents
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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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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Additional Information](#additional-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** [https://www.mpi-inf.mpg.de/children-texts-for-commonsense](https://www.mpi-inf.mpg.de/children-texts-for-commonsense)
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- **Paper:** Do Children Texts Hold The Key To Commonsense Knowledge?
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### Dataset Summary
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A dataset of infants/children's books.
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### Languages
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All the books are in English;
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## Dataset Structure
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### Data Instances
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malis-friend_BookDash-FKB.txt,"Then a taxi driver, hooting around the yard with his wire car. Mali enjoys playing by himself..."
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### Data Fields
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- title: The title of the book
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- content: The content of the book
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## Dataset Creation
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### Curation Rationale
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The goal of the dataset is to study infant books, which are supposed to be easier to understand than normal texts. In particular, the original goal was to study if these texts contain more commonsense knowledge.
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### Source Data
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#### Initial Data Collection and Normalization
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We automatically collected kids' books on the web.
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#### Who are the source language producers?
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Native speakers.
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### Citation Information
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```
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Romero, J., & Razniewski, S. (2022).
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