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# AutoTrain Dataset for project: bam-v2 |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project bam-v2. |
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### Languages |
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The BCP-47 code for the dataset's language is unk. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"feat_unix": 1588744800, |
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"feat_date": "2020-05-06 6:00:00", |
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"id": "BTC/USD", |
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"feat_open": 9013.24, |
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"feat_high": 9058.04, |
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"feat_low": 9006.73, |
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"target": 9034.0, |
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"feat_Volume BTC": 1309428.98, |
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"feat_Volume USD": 144.95, |
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"feat_Volume U": null |
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}, |
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{ |
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"feat_unix": 1623502800, |
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"feat_date": "2021-06-12 13:00:00", |
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"id": "BTC/USD", |
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"feat_open": 36069.87, |
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"feat_high": 36103.17, |
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"feat_low": 35853.97, |
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"target": 36010.859375, |
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"feat_Volume BTC": 83.12513066, |
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"feat_Volume USD": 2993407.443, |
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"feat_Volume U": null |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"feat_unix": "Value(dtype='int64', id=None)", |
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"feat_date": "Value(dtype='string', id=None)", |
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"id": "Value(dtype='string', id=None)", |
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"feat_open": "Value(dtype='float64', id=None)", |
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"feat_high": "Value(dtype='float64', id=None)", |
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"feat_low": "Value(dtype='float64', id=None)", |
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"target": "Value(dtype='float32', id=None)", |
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"feat_Volume BTC": "Value(dtype='float64', id=None)", |
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"feat_Volume USD": "Value(dtype='float64', id=None)", |
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"feat_Volume U": "Value(dtype='float64', id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 38600 | |
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| valid | 9660 | |
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