| task_categories: | |
| - summarization | |
| # AutoTrain Dataset for project: tm3_model | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project tm3_model. | |
| ### 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": "List all PO headers with a valid vendor record in database", | |
| "target": "select * from RETAILBUYER_POHEADER as t2 inner join RETAILBUYER_VENDOR as t1 on t2.VENDOR_ID = t1.VENDOR_ID" | |
| }, | |
| { | |
| "text": "List all details of PO headers which have a vendor in vendor table", | |
| "target": "select * from RETAILBUYER_POHEADER as t2 inner join RETAILBUYER_VENDOR as t1 on t2.VENDOR_ID = t1.VENDOR_ID" | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "Value(dtype='string', 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 | 49 | | |
| | valid | 17 | | |