victor/autonlp-data-tweet-sentiment

--- language: - en task_categories: - text-classification --- # AutoNLP Dataset for project: tweet-sentiment ## Table of content - [Dataset Description](#dataset-description) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) ## Dataset Descritpion This dataset has been automatically processed by AutoNLP for project tweet-sentiment. ### Languages The BCP-47 code for the dataset's language is en. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "text": "I am going to see how long I can do this for.", "target": 8 }, { "text": "@anitabora yeah, right. What if our politicians start using uploading their pics, lots of inside sto[...]", "target": 8 } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "text": "Value(dtype='string', id=None)", "target": "ClassLabel(num_classes=13, names=['anger', 'boredom', 'empty', 'enthusiasm', 'fun', 'happiness', 'hate', 'love', 'neutral', 'relief', 'sadness', 'surprise', 'worry'], id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 31995 | | valid | 8005 |

原始信息汇总

AutoNLP Dataset for project: tweet-sentiment

数据集描述

• 语言: 该数据集的语言代码为BCP-47标准的en，即英语。

数据集结构

数据实例

• 数据实例示例: json [ { "text": "I am going to see how long I can do this for.", "target": 8 }, { "text": "@anitabora yeah, right. What if our politicians start using uploading their pics, lots of inside sto[...]", "target": 8 } ]

数据字段

• 数据集包含以下字段: json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(num_classes=13, names=[anger, boredom, empty, enthusiasm, fun, happiness, hate, love, neutral, relief, sadness, surprise, worry], id=None)" }

数据分割

• 数据集被分割为训练集和验证集，分割详情如下:

  分割名称	样本数量
  训练集	31995
  验证集	8005