metadata
dataset_info:
features:
- name: headline
dtype: string
- name: text
dtype: string
- name: relevance
dtype: string
- name: label
dtype: int32
splits:
- name: train
num_bytes: 8313267.6409710925
num_examples: 5593
- name: test
num_bytes: 3564315.3590289075
num_examples: 2398
download_size: 7408311
dataset_size: 11877583
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- economics
- finance
pretty_name: US economy relevance
size_categories:
- 1K<n<10K
Description
This dataset is the HuggingFace version of this dataset.
It has been reduced to the task of relevance detection. Each text has a label representing whether it is related to the US Economy or not. Hence, it is exclusively focused on the US economy and not the topic "economics" as a global one.
Full credits to the author on Kaggle.