Processed data from autonlp data processor ([2022-03-15 11:11 ]

README.md

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+---
+languages:
+- en
+task_categories:
+- text-classification
+
+---
+# AutoNLP Dataset for project: tweet-sentiment
+
+## Table of content
+- [Dataset Description](#dataset-description)
+    - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+
+## Dataset Descritpion
+
+This dataset has been automatically processed by AutoNLP for project tweet-sentiment.
+
+### 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": "I am going to see how long I can do this for.",
+    "target": 8
+  },
+  {
+    "text": "@anitabora yeah, right. What if our politicians start using uploading their pics, lots of inside sto[...]",
+    "target": 8
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "text": "Value(dtype='string', id=None)",
+  "target": "ClassLabel(num_classes=13, names=['anger', 'boredom', 'empty', 'enthusiasm', 'fun', 'happiness', 'hate', 'love', 'neutral', 'relief', 'sadness', 'surprise', 'worry'], 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        | 31995 |
+| valid        | 8005 |

processed/dataset_dict.json

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+      "names": [
+        "anger",
+        "boredom",
+        "empty",
+        "enthusiasm",
+        "fun",
+        "happiness",
+        "hate",
+        "love",
+        "neutral",
+        "relief",
+        "sadness",
+        "surprise",
+        "worry"
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processed/train/state.json

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+        "surprise",
+        "worry"
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+      "num_examples": 8005,
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+}

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