Processed data from AutoTrain data processor ([2023-04-02 07:56 ]

README.md

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+---
+language:
+- en
+task_categories:
+- text-classification
+
+---
+# AutoTrain Dataset for project: roulette-prediction-next-sequence
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project roulette-prediction-next-sequence.
+
+### Languages
+
+The BCP-47 code for the dataset's language is en.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "text": "1",
+    "target": 8
+  },
+  {
+    "text": "2",
+    "target": 8
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "text": "Value(dtype='string', id=None)",
+  "target": "ClassLabel(names=['0', '11', '12', '20', '22', '23', '25', '26', '27', '28', '3', '31', '35', '36', '4', '7'], 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        | 15 |
+| valid        | 7 |

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": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "names": [
+        "0",
+        "11",
+        "12",
+        "20",
+        "22",
+        "23",
+        "25",
+        "26",
+        "27",
+        "28",
+        "3",
+        "31",
+        "35",
+        "36",
+        "4",
+        "7"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 201,
+      "num_examples": 15,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "9d155c07665b24fa",
+  "_format_columns": [
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

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",
+  "features": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "names": [
+        "0",
+        "11",
+        "12",
+        "20",
+        "22",
+        "23",
+        "25",
+        "26",
+        "27",
+        "28",
+        "3",
+        "31",
+        "35",
+        "36",
+        "4",
+        "7"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 93,
+      "num_examples": 7,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "3d61f7665346b8df",
+  "_format_columns": [
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}