window indices
sequence | embeddings
sequence |
---|---|
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language_creators: - other license: - mit multilinguality: - monolingual pretty_name: narrative-arc size_categories: [] source_datasets: [] tags: [] task_categories: - text-classification task_ids: []
Dataset Card for [narrative-arc]
Dataset Summary
Dataset of stories used for Narrative Arc post-processing. An instance of a story in this dataset will include the original text and its metadata, the transformer model used to make the embeddings, the model's checkpoint, the window indices of the stored embeddings, and the embeddings.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
An example story will look like the following:
{
"book name": "",
"book meta data": "",
"full text": "",
"model": {
"distilbert-base-cased": {
"window indices": (first_index, last_index),
"embeddings": [[]] },
"distilbert-base-uncased": {
"window indices": (first_index, last_index),
"embeddings": [[]]
}
},
}
...
}
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
The processed text needs to be stored somewhere that is both accessible and can accomodate the large amount of data generated.
Source Data
Initial Data Collection and Normalization
The data were sourced from the Project Gutenberg[https://www.gutenberg.org/] library.
Who are the source language producers?
Each instance in the dataset represents a text written by a human author. At present, data selected for processing are English-language short stories.
Personal and Sensitive Information
Not applicable.
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @github-username for adding this dataset.
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