| 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 | | |