| language: | |
| - en | |
| task_categories: | |
| - text-classification | |
| # AutoTrain Dataset for project: yes-or-no-classifier-on-circa | |
| ## Dataset Descritpion | |
| This dataset has been automatically processed by AutoTrain for project yes-or-no-classifier-on-circa. | |
| ### 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": "Situation: X wants to know about Y's food preferences.\nQ: Do you like burritos\nA: Any Mexican food i[...]", | |
| "target": 6 | |
| }, | |
| { | |
| "text": "Situation: X wants to know about Y's music preferences.\nQ: Would you like to go to a music club?\nA: [...]", | |
| "target": 7 | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "ClassLabel(num_classes=8, names=['I am not sure how X will interpret Y\u2019s answer', 'In the middle, neither yes nor no', 'No', 'Other', 'Probably no', 'Probably yes / sometimes yes', 'Yes', 'Yes, subject to some conditions'], 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 | 25218 | | |
| | valid | 6307 | | |