Processed data from AutoTrain data processor ([2023-04-18 09:44 ]

README.md

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+---
+{}
+
+---
+# AutoTrain Dataset for project: foreign-exchange-idr-usd
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project foreign-exchange-idr-usd.
+
+### 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
+[
+  {
+    "id": 279,
+    "feat_Nilai": 1,
+    "target": 14149.0,
+    "feat_Kurs Beli": 14009.0,
+    "feat_Tanggal": "2/22/2019 0:00"
+  },
+  {
+    "id": 356,
+    "feat_Nilai": 1,
+    "target": 14245.0,
+    "feat_Kurs Beli": 14103.0,
+    "feat_Tanggal": "6/26/2019 0:00"
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "id": "Value(dtype='int64', id=None)",
+  "feat_Nilai": "Value(dtype='int64', id=None)",
+  "target": "Value(dtype='float32', id=None)",
+  "feat_Kurs Beli": "Value(dtype='float64', id=None)",
+  "feat_Tanggal": "Value(dtype='string', 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        | 1046 |
+| valid        | 266 |

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": {
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+      "_type": "Value"
+    },
+    "feat_Kurs Beli": {
+      "dtype": "float64",
+      "_type": "Value"
+    },
+    "feat_Tanggal": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 48067,
+      "num_examples": 1046,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+    "id",
+    "target"
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+  "_split": null
+}

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processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "feat_Nilai": {
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+      "_type": "Value"
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+    "target": {
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+      "_type": "Value"
+    },
+    "feat_Kurs Beli": {
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+      "_type": "Value"
+    },
+    "feat_Tanggal": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
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+      "num_examples": 266,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+  "_format_columns": [
+    "feat_Kurs Beli",
+    "feat_Nilai",
+    "feat_Tanggal",
+    "id",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}