task_categories: | |
- text-classification | |
# AutoTrain Dataset for project: TweetClimateAnalysis | |
## Dataset Descritpion | |
This dataset has been automatically processed by AutoTrain for project TweetClimateAnalysis. | |
### Languages | |
The BCP-47 code for the dataset's language is unk. | |
## Dataset Structure | |
### Data Instances | |
A sample from this dataset looks as follows: | |
```json | |
[ | |
{ | |
"text": "What do you do if you are a global warming alarmist and real-world temperatures do not warm as much [...]", | |
"target": 16 | |
}, | |
{ | |
"text": "(2.) A sun-blocking volcanic aerosols component to explain the sudden but temporary cooling of globa[...]", | |
"target": 0 | |
} | |
] | |
``` | |
### Dataset Fields | |
The dataset has the following fields (also called "features"): | |
```json | |
{ | |
"text": "Value(dtype='string', id=None)", | |
"target": "ClassLabel(num_classes=18, names=['0_0', '1_1', '1_2', '1_3', '1_4', '1_6', '1_7', '2_1', '2_3', '3_1', '3_2', '3_3', '4_1', '4_2', '4_4', '4_5', '5_1', '5_2'], 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 | 23436 | | |
| valid | 2898 | | |