Processed data from AutoTrain data processor ([2023-10-10 22:30 ]

README.md

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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 |

processed/dataset_dict.json

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+{"splits": ["train", "valid"]}

processed/train/data-00000-of-00001.arrow

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processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "feat_unix": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "feat_date": {
+      "dtype": "string",
+      "_type": "Value"
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+      "_type": "Value"
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+    "feat_low": {
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+      "_type": "Value"
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+    "target": {
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+      "_type": "Value"
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+      "_type": "Value"
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+    "feat_Volume USD": {
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+      "_type": "Value"
+    },
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+      "_type": "Value"
+    }
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+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 3620488,
+      "num_examples": 38600,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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processed/valid/data-00000-of-00001.arrow

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processed/valid/dataset_info.json

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+  "citation": "",
+  "description": "AutoTrain generated dataset",
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+    "feat_Volume USD": {
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+      "_type": "Value"
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+  "homepage": "",
+  "license": "",
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+}

processed/valid/state.json

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+    "id",
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+  "_output_all_columns": false,
+  "_split": null
+}