PetrochukM/PyTorch-NLP

Add GLUE datasets

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#26 opened on Apr 27, 2018

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 (7 comments) (0 reactions) (0 assignees)Python (2,205 stars) (262 forks)batch import
enhancementgood first issuehelp wanted

Description

GLUE datasets are standard for evaluating NLU tasks.

In pursuit of this objective, we introduce the General Language Understanding Evaluation benchmark (GLUE), a tool for evaluating and analyzing the performance of models across a diverse range of existing NLU tasks.

Contributor guide

Tech stack
pythonpytorch
Domain
machine learningdata
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
PythonPyTorchbasic NLP knowledge
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40
Research direction
Look at existing dataset classes in the PyTorch NLP repository (e.g., in torch nlp/data) to understand the interface. The GLUE benchmark consists of 9 tasks; start with one (e.g., MRPC) as a template. Review the 7 comments for any design discussions or preferences from maintainers.