|
--- |
|
{} |
|
|
|
--- |
|
# 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": 1548158400, |
|
"feat_date": "2019-01-22 12:00:00", |
|
"id": "BTC/USD", |
|
"feat_open": 3543.58, |
|
"feat_high": 3590.0, |
|
"feat_low": 3523.1, |
|
"target": 3557.860107421875, |
|
"feat_Volume BTC": 3593298.05, |
|
"feat_Volume USD": 1009.88, |
|
"feat_Volume U": null, |
|
"feat_Date": null, |
|
"feat_Open": null, |
|
"feat_High": null, |
|
"feat_Low": null, |
|
"feat_Adj Close": null, |
|
"feat_Volume": null |
|
}, |
|
{ |
|
"feat_unix": 1627473600, |
|
"feat_date": "2021-07-28 12:00:00", |
|
"id": "BTC/USD", |
|
"feat_open": 40786.1, |
|
"feat_high": 40900.0, |
|
"feat_low": 39601.35, |
|
"target": 39708.12109375, |
|
"feat_Volume BTC": 265.2041301, |
|
"feat_Volume USD": 10530757.42, |
|
"feat_Volume U": null, |
|
"feat_Date": null, |
|
"feat_Open": null, |
|
"feat_High": null, |
|
"feat_Low": null, |
|
"feat_Adj Close": null, |
|
"feat_Volume": 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)", |
|
"feat_Date": "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)", |
|
"feat_Adj Close": "Value(dtype='float64', id=None)", |
|
"feat_Volume": "Value(dtype='int64', 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 | 41362 | |
|
| valid | 10349 | |
|
|
