|
|
--- |
|
|
dataset_info: |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: label |
|
|
dtype: |
|
|
class_label: |
|
|
names: |
|
|
'0': very negative |
|
|
'1': negative |
|
|
'2': neutral |
|
|
'3': positive |
|
|
'4': very positive |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 6497255.21909313 |
|
|
num_examples: 33524 |
|
|
- name: test |
|
|
num_bytes: 721938.78090687 |
|
|
num_examples: 3725 |
|
|
download_size: 4442702 |
|
|
dataset_size: 7219194.0 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
--- |
|
|
@misc{charan_gowda_anirudh_akshay_pai_chaithanya_kumar_a_2019, |
|
|
title={Twitter and Reddit Sentimental analysis Dataset}, |
|
|
url={https://www.kaggle.com/ds/429085}, |
|
|
DOI={10.34740/KAGGLE/DS/429085}, |
|
|
publisher={Kaggle}, |
|
|
author={Charan Gowda and Anirudh and Akshay Pai and Chaithanya kumar A}, |
|
|
year={2019} |
|
|
} |
