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README.md
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---
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# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
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# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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{}
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---
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# Dataset Card for Dataset Name
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<!-- Description of nearly 1500 movie and TV characters along with their pictures -->
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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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## Dataset Details
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### Dataset Description
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<!-- This dataset contains 1500 descriptions of different movie and tv show characters. It has their Interests, Challenges, Personalities
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along with their names, tv series/movies and a base64 encoded version of their photos.-->
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- **Curated by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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### Dataset Sources [optional]
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<!-- The dataset is originally from https://www.charactour.com/hub/ -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- The dataset is intended to be used for NLP, image recognition and general datascience EDA tasks -->
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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[More Information Needed]
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## Dataset Structure
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<!-- This dataset contains almost 1500 descriptions of actors:
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Features are:
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links_character: link to original description
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desc: html of original description
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char_name:name of character
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series: name of series
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Interests: paragraph summary of interests
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Challenge: paragraph summary of challenges
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Personality: paragraph summary of personality
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base64_standard_b64encode_html: html format for base64 to be used in loading images
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base64_standard_b64encode: base64 encoded images
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-->
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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<!-- To provide access to those looking to explore trends in movie characters. -->
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[More Information Needed]
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### Source Data
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<!-- https://www.charactour.com/hub/ and open ai -->
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#### Data Collection and Processing
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<!-- -->
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[More Information Needed]
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#### Who are the source data producers?
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<!-- https://www.charactour.com/hub/ -->
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[More Information Needed]
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### Annotations [optional]
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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#### Annotation process
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<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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[More Information Needed]
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#### Who are the annotators?
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<!-- This section describes the people or systems who created the annotations. -->
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[More Information Needed]
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#### Personal and Sensitive Information
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<!-- NA -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- Paragraphs are written by website contributors, so they may be biased. -->
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[More Information Needed]
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### Recommendations
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<!-- Users should be aware of styling when implementing NLP methods. -->
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation [optional]
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<!-- -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Dataset Card Authors [optional]
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[More Information Needed]
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## Dataset Card Contact
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[More Information Needed]
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