|
--- |
|
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. |
