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---
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---
# AutoTrain Dataset for project: bam-v2
## Dataset Description
This dataset has been automatically processed by AutoTrain for project bam-v2.
### 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_unix": 1588744800,
"feat_date": "2020-05-06 6:00:00",
"id": "BTC/USD",
"feat_open": 9013.24,
"feat_high": 9058.04,
"feat_low": 9006.73,
"target": 9034.0,
"feat_Volume BTC": 1309428.98,
"feat_Volume USD": 144.95,
"feat_Volume U": null
},
{
"feat_unix": 1623502800,
"feat_date": "2021-06-12 13:00:00",
"id": "BTC/USD",
"feat_open": 36069.87,
"feat_high": 36103.17,
"feat_low": 35853.97,
"target": 36010.859375,
"feat_Volume BTC": 83.12513066,
"feat_Volume USD": 2993407.443,
"feat_Volume U": null
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"feat_unix": "Value(dtype='int64', id=None)",
"feat_date": "Value(dtype='string', id=None)",
"id": "Value(dtype='string', id=None)",
"feat_open": "Value(dtype='float64', id=None)",
"feat_high": "Value(dtype='float64', id=None)",
"feat_low": "Value(dtype='float64', id=None)",
"target": "Value(dtype='float32', id=None)",
"feat_Volume BTC": "Value(dtype='float64', id=None)",
"feat_Volume USD": "Value(dtype='float64', id=None)",
"feat_Volume U": "Value(dtype='float64', 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 | 38600 |
| valid | 9660 |
|