Processed data from AutoTrain data processor ([2022-09-29 21:03 ]

README.md

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+---
+task_categories:
+- text-classification
+
+---
+# AutoTrain Dataset for project: github-emotion-surprise
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project github-emotion-surprise.
+
+### 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_id": 704844644,
+    "text": "This change doesn't affect anything but makes the code more clear. If you look at the line about, `currentUrlTree` is set to `urlAfterRedirects`.",
+    "feat_Anger": 0,
+    "feat_Love": 0,
+    "feat_Fear": 0,
+    "feat_Joy": 1,
+    "feat_Sadness": 0,
+    "target": 0
+  },
+  {
+    "feat_id": 886568180,
+    "text": "Thanks very much for your feedback [USER] Your point is totally fair. My intention was to highlight that camelCase or dash-case class names are perfectly fine to use in Angular templates. Most people, especially beginners, do not know that and end up using the `ngClass` directive. Do you think that rewording the alert towards that direction would make sense?",
+    "feat_Anger": 0,
+    "feat_Love": 1,
+    "feat_Fear": 0,
+    "feat_Joy": 0,
+    "feat_Sadness": 0,
+    "target": 0
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "feat_id": "Value(dtype='int64', id=None)",
+  "text": "Value(dtype='string', id=None)",
+  "feat_Anger": "Value(dtype='int64', id=None)",
+  "feat_Love": "Value(dtype='int64', id=None)",
+  "feat_Fear": "Value(dtype='int64', id=None)",
+  "feat_Joy": "Value(dtype='int64', id=None)",
+  "feat_Sadness": "Value(dtype='int64', id=None)",
+  "target": "ClassLabel(num_classes=2, 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        | 1600 |
+| valid        | 400 |

processed/dataset_dict.json

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processed/train/dataset_info.json

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processed/valid/state.json

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