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