Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
metadata
language:
- en
license:
- unknown
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
- sentiment-analysis
dataset_info:
features:
- name: text
dtype: string
- name: inputs
struct:
- name: text
dtype: string
- name: prediction
list:
- name: label
dtype: string
- name: score
dtype: float64
- name: prediction_agent
dtype: string
- name: annotation
dtype: 'null'
- name: annotation_agent
dtype: 'null'
- name: multi_label
dtype: bool
- name: explanation
dtype: 'null'
- name: id
dtype: string
- name: metadata
struct:
- name: location
dtype: string
- name: screen_name
dtype: int64
- name: split
dtype: string
- name: user_name
dtype: int64
- name: status
dtype: string
- name: event_timestamp
dtype: timestamp[us]
- name: metrics
struct:
- name: text_length
dtype: int64
splits:
- name: train
num_bytes: 25394534
num_examples: 44955
download_size: 15712627
dataset_size: 25394534
Dataset Card for "twitter-coronavirus"
Dataset Description
- Homepage: Kaggle Challenge
- Repository: https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
Dataset Summary
Perform Text Classification on the data. The tweets have been pulled from Twitter and manual tagging has been done then. The names and usernames have been given codes to avoid any privacy concerns.
Columns:
- Location
- Tweet At
- Original Tweet
- Label
- Extremely Negative
- Negative
- Neutral
- Positive
- Extremely Positive
Languages
english
Citation Information
https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification
Contributions
Thanks to @davidberenstein1957 for adding this dataset.