| task_categories: | |
| - text-classification | |
| # AutoTrain Dataset for project: test-auto | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project test-auto. | |
| ### 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": "I'm indifferent towards this restaurant. The food was average, and the service was neither exceptional nor terrible.", | |
| "target": 1 | |
| }, | |
| { | |
| "text": "\"The product I received was damaged and didn't work properly. I reached out to customer support, but they were unhelpful and unresponsive.\"", | |
| "target": 0 | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "ClassLabel(names=['Negative', 'Neutral', 'Positive'], 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 | 26 | | |
| | valid | 8 | | |