| language: | |
| - en | |
| task_categories: | |
| - text-classification | |
| # AutoTrain Dataset for project: climate-text-classification | |
| ## Dataset Descritpion | |
| This dataset has been automatically processed by AutoTrain for project climate-text-classification. | |
| ### 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": "So the way our model has currently been built, we would look to pay down debt with our free cash flow generation that we're planning on generating this year, which is around $20 million to $30 million.", | |
| "target": 0 | |
| }, | |
| { | |
| "text": "So we don't see any big drama on the long-term FMPs as a result of this.", | |
| "target": 0 | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "ClassLabel(num_classes=2, names=['0', '1'], 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 | 1919 | | |
| | valid | 481 | | |