metadata
language:
- en
license: apache-2.0
task_categories:
- text-classification
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: bert_embeddings
sequence: float32
- name: roberta_embeddings
sequence: float32
splits:
- name: train
num_bytes: 45378307
num_examples: 4487
- name: test
num_bytes: 5147293
num_examples: 499
download_size: 49990113
dataset_size: 50525600
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
tags:
- fake-news
Dataset Source: Fake News Detection Challenge KDD 2020
This is a copied and reformatted version of the Fake News Detection Challenge KDD 2020.
We use the raw train.csv from the official Kaggle Dataset and split the data into train and test sets.
- text: text of the article (str)
- embeddings: BERT embeddings (768, )
- label: (int)
- 1: fake
- 0: true
Datasets Distribution:
- Train: 4487
- Test: 499