Code Monkey home page Code Monkey logo

data-preparation's Introduction

Data prepation

This repository contains all the tools and code used to build the ROOTS dataset produced by the BigScience initiative to train the BLOOM models as well as a reduced version to train the tokenizer.

General pipeline for the preparation of the ROOTS dataset

diagram_preprocessing_roots

More detail on the process, including the specifics of the cleaning, filtering, and deduplication operations, can be found in Sections 2 "(Crowd)Sourcing a Language Resource Catalogue" and 3 "Processing OSCAR" of our paper on the ROOTS dataset creation.

Key resources

Citation

@inproceedings{
bigscience-roots:2022,
title={The BigScience {ROOTS} Corpus: A 1.6{TB} Composite Multilingual Dataset},
author={Hugo Lauren{\c{c}}on and Lucile Saulnier and Thomas Wang and Christopher Akiki and Albert Villanova del Moral and Teven Le Scao and Leandro Von Werra and Chenghao Mou and Eduardo Gonz{\'a}lez Ponferrada and Huu Nguyen and J{\"o}rg Frohberg and Mario {\v{S}}a{\v{s}}ko and Quentin Lhoest and Angelina McMillan-Major and G{\'e}rard Dupont and Stella Biderman and Anna Rogers and Loubna Ben allal and Francesco De Toni and Giada Pistilli and Olivier Nguyen and Somaieh Nikpoor and Maraim Masoud and Pierre Colombo and Javier de la Rosa and Paulo Villegas and Tristan Thrush and Shayne Longpre and Sebastian Nagel and Leon Weber and Manuel Romero Mu{\~n}oz and Jian Zhu and Daniel Van Strien and Zaid Alyafeai and Khalid Almubarak and Vu Minh Chien and Itziar Gonzalez-Dios and Aitor Soroa and Kyle Lo and Manan Dey and Pedro Ortiz Suarez and Aaron Gokaslan and Shamik Bose and David Ifeoluwa Adelani and Long Phan and Hieu Tran and Ian Yu and Suhas Pai and Jenny Chim and Violette Lepercq and Suzana Ilic and Margaret Mitchell and Sasha Luccioni and Yacine Jernite},
booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
year={2022},
url={https://openreview.net/forum?id=UoEw6KigkUn}
}

data-preparation's People

Contributors

hugolaurencon avatar saullu avatar thomasw21 avatar cakiki avatar tevenlescao avatar paulovn avatar tristanthrush avatar dependabot[bot] avatar albertvillanova avatar lvwerra avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.