# AutoTrain Dataset for project: tpsmay22

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project tpsmay22.

### 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
[
  {
    "id": 828849,
    "feat_f_00": 0.5376503535622164,
    "feat_f_01": 1.943782180890636,
    "feat_f_02": 0.9135609975277558,
    "feat_f_03": 1.8069627709531364,
    "feat_f_04": 0.2608497764144719,
    "feat_f_05": 0.2210137962869367,
    "feat_f_06": -0.2041958755583295,
    "feat_f_07": 1,
    "feat_f_08": 3,
    "feat_f_09": 1,
    "feat_f_10": 3,
    "feat_f_11": 7,
    "feat_f_12": 1,
    "feat_f_13": 1,
    "feat_f_14": 3,
    "feat_f_15": 3,
    "feat_f_16": 0,
    "feat_f_17": 3,
    "feat_f_18": 3,
    "feat_f_19": -2.224980946907772,
    "feat_f_20": -0.0497802292031301,
    "feat_f_21": -3.926047324073047,
    "feat_f_22": 3.518427812720448,
    "feat_f_23": -3.682602827653292,
    "feat_f_24": -0.391453171033426,
    "feat_f_25": 1.519591066386293,
    "feat_f_26": 1.689261040286172,
    "feat_f_27": "AEBCBAHLAC",
    "feat_f_28": 379.1152852815462,
    "feat_f_29": 0,
    "feat_f_30": 1,
    "target": 0.0
  },
  {
    "id": 481680,
    "feat_f_00": 0.067304409313422,
    "feat_f_01": -2.1380257328497443,
    "feat_f_02": -1.071190705030414,
    "feat_f_03": -0.632098414262756,
    "feat_f_04": -0.6884213952425722,
    "feat_f_05": 0.9001794148519768,
    "feat_f_06": 1.0522875373816212,
    "feat_f_07": 2,
    "feat_f_08": 2,
    "feat_f_09": 2,
    "feat_f_10": 2,
    "feat_f_11": 3,
    "feat_f_12": 4,
    "feat_f_13": 4,
    "feat_f_14": 1,
    "feat_f_15": 3,
    "feat_f_16": 1,
    "feat_f_17": 2,
    "feat_f_18": 4,
    "feat_f_19": -0.1749962904609809,
    "feat_f_20": -2.14813633573821,
    "feat_f_21": -1.959294186862138,
    "feat_f_22": -0.0458843535688706,
    "feat_f_23": 0.7256376584744342,
    "feat_f_24": -2.5463878383279823,
    "feat_f_25": 2.3352097148227915,
    "feat_f_26": 0.4798465276880099,
    "feat_f_27": "BCBBDBFLCA",
    "feat_f_28": -336.9163876318925,
    "feat_f_29": 1,
    "feat_f_30": 0,
    "target": 0.0
  }
]
```

### Dataset Fields

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

```json
{
  "id": "Value(dtype='int64', id=None)",
  "feat_f_00": "Value(dtype='float64', id=None)",
  "feat_f_01": "Value(dtype='float64', id=None)",
  "feat_f_02": "Value(dtype='float64', id=None)",
  "feat_f_03": "Value(dtype='float64', id=None)",
  "feat_f_04": "Value(dtype='float64', id=None)",
  "feat_f_05": "Value(dtype='float64', id=None)",
  "feat_f_06": "Value(dtype='float64', id=None)",
  "feat_f_07": "Value(dtype='int64', id=None)",
  "feat_f_08": "Value(dtype='int64', id=None)",
  "feat_f_09": "Value(dtype='int64', id=None)",
  "feat_f_10": "Value(dtype='int64', id=None)",
  "feat_f_11": "Value(dtype='int64', id=None)",
  "feat_f_12": "Value(dtype='int64', id=None)",
  "feat_f_13": "Value(dtype='int64', id=None)",
  "feat_f_14": "Value(dtype='int64', id=None)",
  "feat_f_15": "Value(dtype='int64', id=None)",
  "feat_f_16": "Value(dtype='int64', id=None)",
  "feat_f_17": "Value(dtype='int64', id=None)",
  "feat_f_18": "Value(dtype='int64', id=None)",
  "feat_f_19": "Value(dtype='float64', id=None)",
  "feat_f_20": "Value(dtype='float64', id=None)",
  "feat_f_21": "Value(dtype='float64', id=None)",
  "feat_f_22": "Value(dtype='float64', id=None)",
  "feat_f_23": "Value(dtype='float64', id=None)",
  "feat_f_24": "Value(dtype='float64', id=None)",
  "feat_f_25": "Value(dtype='float64', id=None)",
  "feat_f_26": "Value(dtype='float64', id=None)",
  "feat_f_27": "Value(dtype='string', id=None)",
  "feat_f_28": "Value(dtype='float64', id=None)",
  "feat_f_29": "Value(dtype='int64', id=None)",
  "feat_f_30": "Value(dtype='int64', id=None)",
  "target": "Value(dtype='float32', 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        | 719999 |
| valid        | 180001 |

region:us
{}
TAGS
#region-us 

AutoTrain Dataset for project: tpsmay22
=======================================


Dataset Descritpion
-------------------


This dataset has been automatically processed by AutoTrain for project tpsmay22.


### 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
#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
#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: