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+ [Needs More Information]
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+ # Dataset Card for Questions-vs-Statements-Classification
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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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-instances)
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+ - [Data Splits](#data-instances)
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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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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [Kaggle](https://www.kaggle.com/datasets/shahrukhkhan/questions-vs-statementsclassificationdataset)
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+ - **Repository:** [Needs More Information]
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+ - **Paper:** [Needs More Information]
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+ - **Leaderboard:** [Needs More Information]
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+ - **Point of Contact:** [Needs More Information]
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+
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+ ### Dataset Summary
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+ A dataset containing statements and questions with their corresponding labels.
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+ ### Supported Tasks and Leaderboards
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+ multi-class-classification
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+ ### Languages
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+ en
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+ ## Dataset Structure
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+ ### Data Instances
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+ [Needs More Information]
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+ ### Data Fields
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+ [Needs More Information]
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+ ### Data Splits
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+ Train Test Valid
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+
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+ ## Dataset Creation
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+ ### Curation Rationale
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+ The goal of this project is to classify sentences, based on type:
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+ Statement (Declarative Sentence)
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+ Question (Interrogative Sentence)
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+ ### Source Data
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+ #### Initial Data Collection and Normalization
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+ The dataset is created by parsing out the SQuAD dataset and combining it with the SPAADIA dataset.
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+ #### Who are the source language producers?
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+ [Needs More Information]
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+ ### Annotations
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+ #### Annotation process
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+ [Needs More Information]
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+ #### Who are the annotators?
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+ [Needs More Information]
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+ ### Personal and Sensitive Information
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+ [Needs More Information]
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+ ## Considerations for Using the Data
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+ ### Social Impact of Dataset
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+ [Needs More Information]
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+ ### Discussion of Biases
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+ [Needs More Information]
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+ ### Other Known Limitations
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+ Questions in this case ar are only one sentence, statements are a single sentence or more. They are classified correctly but don't include sentences prior to questions.
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+ ## Additional Information
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+ ### Dataset Curators
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+ [SHAHRUKH KHAN](https://www.kaggle.com/shahrukhkhan)
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+ ### Licensing Information
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+ (CC0: Public Domain)[https://creativecommons.org/publicdomain/zero/1.0/]
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+ ### Citation Information
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+ [Needs More Information]