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---
license: mit
language:
- en
tags:
- history
- philosophy
- art
pretty_name: Historical Quotes - English
size_categories:
- 10K<n<100K
task_categories:
- text-classification
- conversational
- fill-mask
---
Dataset Card for English Historical Quotes
# I-Dataset Summary
english_historical_quotes is a dataset of many historical quotes.
This dataset can be used for multi-label text classification and text generation. The content of each quote is in English.
# II-Supported Tasks and Leaderboards
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.
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).
# III-Languages
The texts in the dataset are in English (en).
# IV-Dataset Structure
Data Instances
A JSON-formatted example of a typical instance in the dataset:
{"quote":"Almost anyone can be an author the business is to collect money and fame from this state of being.",
"author":"A. A. Milne",
"categories": "['business', 'money']"
}
### Data Fields
author : The author of the quote.
quote : The text of the quote.
tags: The tags could be characterized as topics around the quote.
### Data Splits
The dataset is one block, so that it can be further processed using Hugging Face `datasets` functions like the ``.train_test_split() method.
# V-Dataset Creation
Curation Rationale
The goal is to share good datasets with the HuggingFace community so that they can use them in NLP tasks and advance artificial intelligence.
### Source Data
The data has been aggregated from various open-access internet archives. Then it has been manually refined, duplicates and false quotes removed by me.
It is the backbone of my website [dixit.app](http://dixit.app), which allows to search historical quotes through semantic search.
# VI-Additional Informations
Dataset Curators
Aymeric Roucher
Licensing Information
This work is licensed under a MIT License. |