Processed data from AutoTrain data processor ([2023-06-27 11:41 ]

README.md

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+---
+task_categories:
+- text-classification
+
+---
+# AutoTrain Dataset for project: ukrainian-telegram-sentiment-analysis
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project ukrainian-telegram-sentiment-analysis.
+
+### 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
+[
+  {
+    "text": "\u041f\u0440\u0435\u0441\u0441\u043b\u0443\u0436\u0431\u0430 \u041b\u0443\u043a\u0430\u0448\u0435\u043d\u043a\u0430 \u043f\u0438\u0448\u0435, \u0449\u043e \u0432\u0436\u0435 \u0454 \u043f\u0440\u043e\u0454\u043a\u0442 \u043f\u0440\u0438\u0439\u043d\u044f\u0442\u043d\u043e\u0433\u043e \u0432\u0430\u0440\u0456\u0430\u043d\u0442\u0443 \u0440\u043e\u0437\u0432'\u044f\u0437\u043a\u0438 \u0441\u0438\u0442\u0443\u0430\u0446\u0456\u0457 \u0437 \u041f\u0412\u041a \"\u0412\u0430\u0433\u043d\u0435\u0440\", \u0437 \u0433\u0430\u0440\u0430\u043d\u0442\u0456\u044f\u043c\u0438 \u0431\u0435\u0437\u043f\u0435\u043a\u0438 \u0434\u043b\u044f \u0457\u0457 \u043d\u0430\u0439\u043c\u0430\u043d\u0446\u0456\u0432.   \u0412\u043e\u043d\u0438 \u0434\u043e\u043c\u043e\u0432\u0438\u043b\u0438\u0441\u044c \"\u043f\u0440\u043e \u043d\u0435\u043f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u0456\u0441\u0442\u044c \u0440\u043e\u0437\u0432'\u044f\u0437\u0443\u0432\u0430\u043d\u043d\u044f \u043a\u0440\u0438\u0432\u0430\u0432\u043e\u0457 \u0431\u0456\u0439\u043d\u0456 \u043d\u0430 \u0442\u0435\u0440\u0438\u0442\u043e\u0440\u0456\u0457 \u0440\u043e\u0441\u0456\u0457\"",
+    "target": 0
+  },
+  {
+    "text": "\u041a\u0430\u0434\u0438\u0440\u0456\u0432\u0446\u0456 \u0437 \"\u0410\u0445\u043c\u0430\u0442\u0443\" \u0437\u0430\u0457\u0445\u0430\u043b\u0438 \u0443 \u0420\u043e\u0441\u0442\u043e\u0432-\u043d\u0430-\u0414\u043e\u043d\u0443, \u043f\u043e\u0432\u0456\u0434\u043e\u043c\u043b\u044f\u044e\u0442\u044c \u0440\u043e\u0441\u0417\u041c\u0406.  \ud83d\udc4d\ud83d\udc4d\ud83d\udc4d",
+    "target": 1
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "text": "Value(dtype='string', id=None)",
+  "target": "ClassLabel(names=['0', '1'], 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        | 64 |
+| valid        | 17 |

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",
+        "1"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 16305,
+      "num_examples": 64,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+  "_format_columns": [
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
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+  "_split": null
+}

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

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+size 7448

processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "names": [
+        "0",
+        "1"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 6855,
+      "num_examples": 17,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "43c3bef4b0d8aba9",
+  "_format_columns": [
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
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+  "_output_all_columns": false,
+  "_split": null
+}