# AutoTrain Dataset for project: xx

## Dataset Description

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

### 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
[
  {
    "feat_db_id": "department_management",
    "target": "SELECT count(*) FROM head WHERE age  >  56",
    "source": "How many heads of the departments are older than 56 ?",
    "feat_query_toks": [
      "SELECT",
      "count",
      "(",
      "*",
      ")",
      "FROM",
      "head",
      "WHERE",
      "age",
      ">",
      "56"
    ],
    "feat_query_toks_no_value": [
      "select",
      "count",
      "(",
      "*",
      ")",
      "from",
      "head",
      "where",
      "age",
      ">",
      "value"
    ],
    "feat_question_toks": [
      "How",
      "many",
      "heads",
      "of",
      "the",
      "departments",
      "are",
      "older",
      "than",
      "56",
      "?"
    ]
  },
  {
    "feat_db_id": "department_management",
    "target": "SELECT name ,  born_state ,  age FROM head ORDER BY age",
    "source": "List the name, born state and age of the heads of departments ordered by age.",
    "feat_query_toks": [
      "SELECT",
      "name",
      ",",
      "born_state",
      ",",
      "age",
      "FROM",
      "head",
      "ORDER",
      "BY",
      "age"
    ],
    "feat_query_toks_no_value": [
      "select",
      "name",
      ",",
      "born_state",
      ",",
      "age",
      "from",
      "head",
      "order",
      "by",
      "age"
    ],
    "feat_question_toks": [
      "List",
      "the",
      "name",
      ",",
      "born",
      "state",
      "and",
      "age",
      "of",
      "the",
      "heads",
      "of",
      "departments",
      "ordered",
      "by",
      "age",
      "."
    ]
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "feat_db_id": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)",
  "source": "Value(dtype='string', id=None)",
  "feat_query_toks": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "feat_query_toks_no_value": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "feat_question_toks": "Sequence(feature=Value(dtype='string', id=None), length=-1, 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        | 1001 |
| valid        | 1001 |

task_categories:translation region:us
{"task_categories": ["translation"]}
TAGS
#task_categories-translation #region-us 

AutoTrain Dataset for project: xx
=================================


Dataset Description
-------------------


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


### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


The dataset has the following fields (also called "features"):


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-translation #region-us 
 ### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-translation #region-us 
### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


The dataset has the following fields (also called "features"):### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow: