Processed data from AutoTrain data processor ([2022-04-05 09:16 ]

README.md

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+---
+task_categories:
+- text-classification
+
+---
+# AutoTrain Dataset for project: sentiment_analysis_project
+
+## Dataset Descritpion
+
+This dataset has been automatically processed by AutoTrain for project sentiment_analysis_project.
+
+### 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": "Realizing that I don`t have school today... or tomorrow... or for the next few months.  I really nee[...]",
+    "target": 1
+  },
+  {
+    "text": "Good morning tweeps. Busy this a.m. but not in a working way",
+    "target": 2
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "text": "Value(dtype='string', id=None)",
+  "target": "ClassLabel(num_classes=3, names=['negative', 'neutral', 'positive'], 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        | 16180 |
+| valid        | 4047 |

processed/dataset_dict.json

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processed/train/state.json

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processed/valid/dataset_info.json

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