根据给定的文本数据集进行情感分类。您的输入应该包含有关数据集的说明和示例数据。您的输出应该是数据集中每个示例的情感类别。
说明：以下是一个数据集示例，其中包含一些电影评论和它们的情感类别（“正面”或“负面”）

示例数据：

```
{ 
  "text": "This movie was amazing! The plot was so unpredictable and the acting was phenomenal.", 
  "label": "positive" 
},
{ 
  "text": "I hated every minute of this movie. It was cliche and poorly written.", 
  "label": "negative" 
},
{ 
  "text": "I thought this movie was just okay. It had some good moments, but overall it was pretty forgettable.", 
  "label": "negative" 
},
{ 
  "text": "This movie exceeded all of my expectations. I'll definitely be watching it again.", 
  "label": "positive" 
}
```
数据集说明：电影评论情感分类数据集，包含一些电影评论和相应的情感类别（“正面”或“负面”）。

数据集示例：

```
{ 
  "text": "This movie was amazing! The plot was so unpredictable and the acting was phenomenal.", 
  "label": "positive" 
},
{ 
  "text": "I hated every minute of this movie. It was cliche and poorly written.", 
  "label": "negative" 
},
{ 
  "text": "I thought this movie was just okay. It had some good moments, but overall it was pretty forgettable.", 
  "label": "negative" 
},
{ 
  "text": "This movie exceeded all of my expectations. I'll definitely be watching it again.", 
  "label": "positive" 
}
```

输出：每个示例的情感类别（“positive”或“negative”）。