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README.md
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multilinguality:
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- monolingual
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size_categories:
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source_datasets:
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- original
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task_categories:
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- object-detection
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---
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# Dataset Card for
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##
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#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-fields)
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- [Data Splits](#data-splits)
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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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- [Contributions](#contributions)
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### Dataset Summary
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Provide a summary of the dataset, what the data represents, where it comes from, and what it can be used for.
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### Supported Tasks and Leaderboards
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Discuss any tasks for which this dataset is suitable and any existing leaderboards.
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### Languages
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The language of the dataset and any language-specific considerations.
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## Dataset Structure
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### Data Instances
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A description of a typical data instance and its components.
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### Data Fields
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A description of each field in the dataset, including the data type and any relevant information.
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### Data Splits
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If the dataset contains multiple splits (training, validation, test), provide information about each of them.
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## Dataset Creation
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### Curation Rationale
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Explain the rationale behind the creation and curation of the dataset.
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### Source Data
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Provide information about the source of the data.
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### Annotations
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Describe the annotation process and the quality of the annotations.
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### Personal and Sensitive Information
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Identify any personal or sensitive information in the dataset, and describe measures taken to ensure privacy and consent.
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## Considerations for Using the Data
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### Social Impact of Dataset
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Discuss any potential social or ethical implications of the dataset.
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### Discussion of Biases
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Acknowledge any biases present in the dataset.
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### Other Known Limitations
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Discuss any other limitations of the dataset (e.g., potential for misuse, lack of representativeness).
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## Additional Information
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### Dataset Curators
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List the individuals or organizations who curated the dataset.
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### Licensing Information
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Provide licensing information, or a link to a license file.
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### Citation Information
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Provide a suggested citation for the dataset.
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### Contributions
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Credits to those who contributed to the dataset.
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multilinguality:
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- monolingual
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size_categories:
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- 100K<n<1M
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source_datasets:
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- original
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task_categories:
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- object-detection
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---
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# Dataset Card for NYU AI INET ASSIGNMENT 3
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## Dataset Summary
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youtube video frames for experimentation for AI INET Assignmnet 3
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