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@@ -13,4 +13,56 @@ task_categories:
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  - text-classification
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  - conversational
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  - fill-mask
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - text-classification
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  - conversational
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  - fill-mask
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+ ---
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+ Dataset Card for English Historical Quotes
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+
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+ # I-Dataset Summary
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+ english_historical_quotes is a dataset of many historical quotes.
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+ This dataset can be used for multi-label text classification and text generation. The content of each quote is in English.
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+
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+ # II-Supported Tasks and Leaderboards
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+ Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.
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+ Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).
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+ # III-Languages
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+ The texts in the dataset are in English (en).
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+ # IV-Dataset Structure
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+ Data Instances
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+ A JSON-formatted example of a typical instance in the dataset:
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+ {'author': 'Ralph Waldo Emerson',
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+ 'quote': '“To be yourself in a world that is constantly trying to make you something else is the greatest accomplishment.”',
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+ 'tags': ['accomplishment', 'be-yourself', 'conformity', 'individuality']}
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+
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+ ### Data Fields
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+ author : The author of the quote.
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+ quote : The text of the quote.
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+ tags: The tags could be characterized as topics around the quote.
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+
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+ ### Data Splits
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+ The dataset is one block, so that it can be further processed using Hugging Face `datasets` functions like the ``.train_test_split() method.
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+ # V-Dataset Creation
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+ Curation Rationale
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+ The goal is to share good datasets with the HuggingFace community so that they can use them in NLP tasks and advance artificial intelligence.
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+
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+ ### Source Data
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+ The data has been aggregated from various open-access internet archives. Then it has been manually refined, duplicates and false quotes removed by me.
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+ # VI-Additional Informations
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+ Dataset Curators
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+ Aymeric Roucher
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+
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+ Licensing Information
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+ This work is licensed under a MIT License.