NELA-GT-2019 Dataset
Created by Gruppi et al. at 2020, the NELA-GT-2019 Dataset contains 1.12M news articles from 260 sources collected between January 1st 2019 and December 31st 2019. Included are source-level ground truth labels from 7 different assessment sites. , in English language. Containing 1.12M in JSON file format.
Dataset Sources
Here you can download the NELA-GT-2019 dataset in JSON format.
Download NELA-GT-2019 dataset JSON files
Fine-tune with NELA-GT-2019 dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original NELA-GT-2019 paper.
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.