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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": 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 | |
| |
|