PetrochukM/PyTorch-NLP

Add GLUE datasets

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#26 opened on Apr 27, 2018

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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

Research direction
Implement a GLUE dataset class that inherits from torch.utils.data.Dataset, loading each GLUE task (e.g., SST 2, QQP, MNLI) from the Hugging Face datasets library or raw data files. Ensure proper tokenization and label mapping.
Tech stack
python
Domain
machine learning
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.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75