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---
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 |
|