harpreetmann/train_emotion_spring_2024

---
dataset_info:
features:
- name: text
dtype: string
- name: label
sequence: float64
splits:
- name: train
num_bytes: 1186430.397980321
num_examples: 6179
- name: valid
num_bytes: 296655.6020196789
num_examples: 1545
download_size: 616295
dataset_size: 1483086.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
---
The dataset is a subset of Semeval-2018 Task 1:

Semeval-2018 Task 1: Affect in Tweets. Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. In Proceedings of International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, LA, USA, June 2018.

Further details of the English data creation methodology are available in this paper:

Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories. Saif M. Mohammad and Svetlana Kiritchenko. In Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC-2018), May 2018, Miyazaki, Japan.

原始信息汇总

数据集概述

数据集特征

• text：文本类型，数据类型为字符串。
• label：标签类型，数据类型为浮点数。

数据集分割

• 训练集：包含6179个样本，总大小为1186430.397980321字节。
• 验证集：包含1545个样本，总大小为296655.6020196789字节。

数据集大小

• 下载大小：616295字节。
• 数据集总大小：1483086.0字节。

数据文件配置

• 默认配置：
  • 训练数据路径：data/train-*
  • 验证数据路径：data/valid-*