GithubHelp home page GithubHelp logo

balandhanka / tpu-multilingual-toxic-comment-classification Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 33 KB

TPU Based Multilingual Toxic Comment Classification Using BERT - kaggle competition -Jigsaw

License: MIT License

Jupyter Notebook 100.00%
machine-learning deep-learning nlp python3 tpu-acceleration

tpu-multilingual-toxic-comment-classification's Introduction

TPU-Multilingual-Toxic-Comment-Classification

Data collected from kaggle : -

  • The primary data for the competition is, in each provided file, the comment_text column. This contains the text of a comment which has been classified as toxic or non-toxic (0...1 in the toxic column). The train set’s comments are entirely in english and come either from Civil Comments or Wikipedia talk page edits. The test data's comment_text columns are composed of multiple non-English languages.

  • The *-train.csv files and validation.csv file also contain a toxic column that is the target to be trained on.

  • The jigsaw-toxic-comment-train.csv and jigsaw-unintended-bias-train.csv contain training data (comment_text and toxic) from the two previous Jigsaw competitions, as well as additional columns that you may find useful.

Files

  • jigsaw-toxic-comment-train.csv - data from our first competition. The dataset is made up of English comments from Wikipedia’s talk page edits.
  • jigsaw-unintended-bias-train.csv - data from our second competition. This is an expanded version of the Civil Comments dataset with a range of additional labels.
  • sample_submission.csv - a sample submission file in the correct format
  • test.csv - comments from Wikipedia talk pages in different non-English languages.
  • validation.csv - comments from Wikipedia talk pages in different non-English languages.
  • jigsaw-toxic-comment-train-processed-seqlen128.csv - training data preprocessed for BERT
  • jigsaw-unintended-bias-train-processed-seqlen128.csv - training data preprocessed for BERT
  • validation-processed-seqlen128.csv - validation data preprocessed for BERT
  • test-processed-seqlen128.csv - test data preprocessed for BERT

tpu-multilingual-toxic-comment-classification's People

Contributors

balandhanka avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.