Duplicate from zeroshot/twitter-financial-news-sentiment

Co-authored-by: not a <zeroshot@users.noreply.huggingface.co>

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README.md

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+---
+annotations_creators:
+- other
+language:
+- en
+language_creators:
+- other
+license:
+- mit
+multilinguality:
+- monolingual
+pretty_name: twitter financial news
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+tags:
+- twitter
+- finance
+- markets
+- stocks
+- wallstreet
+- quant
+- hedgefunds
+- markets
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+---
+
+### Dataset Description
+
+The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.
+
+1. The dataset holds 11,932 documents annotated with 3 labels:
+
+```python
+sentiments = {
+    "LABEL_0": "Bearish", 
+    "LABEL_1": "Bullish", 
+    "LABEL_2": "Neutral"
+}  
+```
+
+The data was collected using the Twitter API. The current dataset supports the multi-class classification task.
+
+### Task: Sentiment Analysis
+
+# Data Splits
+There are 2 splits: train and validation. Below are the statistics:
+
+| Dataset Split | Number of Instances in Split                |
+| ------------- | ------------------------------------------- |
+| Train         | 9,938                                       |
+| Validation    | 2,486                                       |
+
+
+# Licensing Information
+The Twitter Financial Dataset (sentiment) version 1.0.0 is released under the MIT License.

sent_dataset_meta.txt

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+N=11_932
+
+bearish 1789
+bullish 2398
+neutral 7744