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README (1).md

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+---
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+pretty_name: s
+size_categories:
+- 10M<n<100M
+---
+# Dataset Card for "Large twitter tweets sentiment analysis"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Splits and Size](#data-splits-and-size)
+
+## Dataset Description
+
+### Dataset Summary
+This dataset is a collection of tweets formatted in a tabular data structure, annotated for sentiment analysis. 
+Each tweet is associated with a sentiment label, with `1` indicating a Positive sentiment and `0` for a Negative sentiment.
+
+### Languages
+The tweets in English.
+
+## Dataset Structure
+
+### Data Instances
+An instance of the dataset includes the following fields:
+- `text`: a string containing the tweet's content.
+- `sentiment`: an integer where `1` indicates Positive sentiment and `0` indicates Negative sentiment.
+
+### Data Splits and Size
+The dataset is divided into training and test sets. The sizes are as follows:
+- Training set: 179995 instances
+- Test set: 44999 instances

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train.csv

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