Aman6917/autotrain-data-big_tm4

---
task_categories:
- summarization

---
# AutoTrain Dataset for project: big_tm4

## Dataset Description

This dataset has been automatically processed by AutoTrain for project big_tm4.

### 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 would like to request the count of vendors that are situated in Houston and have received a purchase order.",
"target": "select max(RETAILBUYER_VENDOR.vendor_id) from RETAILBUYER_POHEADER\ninner join\nRETAILBUYER_VENDOR \non\nRETAILBUYER_POHEADER.vendor_id = RETAILBUYER_VENDOR.vendor_id\nwhere RETAILBUYER_VENDOR.Vendor_City = 'Houston'"
},
{
"text": "List all vendors and their details for whom no PO has been issued",
"target": "select * from RETAILBUYER_VENDOR\nwhere vendor_id not in (select vendor_id from RETAILBUYER_POHEADER)"
}
]
```

### 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 | 356 |
| valid | 90 |

原始信息汇总

AutoTrain Dataset for project: big_tm4

数据集描述

该数据集是为项目big_tm4自动处理生成的。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集样例如下：

json [ { "text": "I would like to request the count of vendors that are situated in Houston and have received a purchase order.", "target": "select max(RETAILBUYER_VENDOR.vendor_id) from RETAILBUYER_POHEADER inner join RETAILBUYER_VENDOR on RETAILBUYER_POHEADER.vendor_id = RETAILBUYER_VENDOR.vendor_id where RETAILBUYER_VENDOR.Vendor_City = Houston" }, { "text": "List all vendors and their details for whom no PO has been issued", "target": "select * from RETAILBUYER_VENDOR where vendor_id not in (select vendor_id from RETAILBUYER_POHEADER)" } ]

数据集字段

数据集包含以下字段：

json { "text": "Value(dtype=string, id=None)", "target": "Value(dtype=string, id=None)" }

数据集分割

数据集分为训练集和验证集，分割大小如下：

分割名称	样本数量
训练	356
验证	90