Dataset Card for English quotes

  I-Dataset Summary

english_quotes is a dataset of all the quotes retrieved from goodreads quotes. This dataset can be used for multi-label text classification and text generation. The content of each quote is in English and concerns the domain of datasets for NLP and beyond.

  II-Supported Tasks and Leaderboards

Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of… See the full description on the dataset page: https://huggingface.co/datasets/Abirate/english_quotes.

adeo/english-quotes-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by Vijay J0shi

Released under MIT

Contents

This dataset is a paraphrase of https://huggingface.co/datasets/Abirate/english_quotes using the google/gemma-2-2b-it model. The license follows the original dataset's Creative Commons Attribution 4.0 International License. Paraphrasing was conducted using text2dataset.

Context

There aren't any large, public datasets of quotes to be found online (at the time of writing). So I decided to create my own by parsing and cleaning up a Wikiquote data dump. To create your own dataset with different languages and cutoff lengths, check out my Github repository.

Content

quotes-100-en.json

A JSON file containing english quotes less than 100 characters, scraped from Wikiquote.

Acknowledgments

Huge thanks to all the contributors to Wikiquote, and the Wikimedia Foundation.

Inspiration

Analysis and interpretation of quotes from important historical figures.

This dataset is the same as Abirate/english_quotes, but I sanitized the author and sanitized the text to avoid weird characters. from ftfy import fix_encoding from datasets import load_dataset

def correct_encoding(examples): quote = examples["quote"] author = examples["author"]

# remove trailing comma from authors and fix encoding
author = author.rstrip(",")
author = fix_encoding(author)
examples["author"] = author

# fix encoding
quote = fix_encoding(quote)… See the full description on the dataset page: https://huggingface.co/datasets/tengomucho/english_quotes_sanitized.

This dataset was created using english-quotes dataset and SQL Console: Query

This dataset is a translation of https://huggingface.co/datasets/Abirate/english_quotes into Japanese using the llm-jp/llm-jp-3-3.7b-instruct model. The license follows the original dataset's Creative Commons Attribution 4.0 International License. The translation was performed using text2dataset.

USED of tahamajs/medicine_ds_persian for .parquet file

USED of Alijafarixcs2/persian-it-llama2-2k for .parquet file

USED of Abirate/english_quotes for .jsonl file

SEVERAL Markdown (.md) files have been added to the dataset; Language: English.

  The biggest update is coming.





  Pytroch UPDATE





  UPLOADED SOME IMAGES IN PATH pytorch_directml_cpu_optimized_low_end_pc





  17 months left ("The time was changed and postponed, Sorry!.")