Update README

README.md

@@ -32,4 +32,118 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+license: apache-2.0
+task_categories:
+- text-classification
+language:
+- ar
+- de
+- en
+- es
+- fr
+- hi
+- id
+- it
+- ko
+- ms
+- pt
+- ru
+- tr
+- vi
+- zh
+- ja
+tags:
+- sentiment
+- multilingual
+- emotion
+- review
+- classification
+pretty_name: text
+size_categories:
+- 1M<n<10M
 ---
+## Overview
+**MultilingualSentiment** is a sentiment classification dataset that encompasses three sentiment labels: **Positive**, **Neutral**, **Negative**
+
+The dataset spans multiple languages and covers a wide range of domains, making it ideal for multilingual sentiment analysis tasks.
+
+
+## Dataset Information
+The dataset was meticulously collected and aggregated from various sources, including Hugging Face and Kaggle. These sources provide diverse languages and domains to ensure a comprehensive and balanced dataset.
+
+- **Total records**: 3,934,349
+- The dataset is divided into three subsets: train, validation, and test, with a ratio of 8:1:1:
+  + Train: 3,147,478
+  + Validation: 393,435
+  + Test: 393,436
+
+### Number of Records per Language
+| Language      | Count   |
+|---------------|---------|
+| Arabic (ar)   | 208,375 |
+| German (de)   | 212,853 |
+| English (en)  | 1,519,860 |
+| Spanish (es)  | 222,911 |
+| French (fr)   | 262,645 |
+| Hindi (hi)    | 9,423   |
+| Indonesian (id) | 12,536 |
+| Italian (it)  | 3,020   |
+| Japanese (ja) | 335,656 |
+| Korean (ko)   | 259,998 |
+| Malay (ms)    | 6,661   |
+| Multilingual  | 9,391   |
+| Portuguese (pt) | 49,188 |
+| Russian (ru)  | 205,186 |
+| Turkish (tr)  | 44,743  |
+| Vietnamese (vi) | 127,068 |
+| Chinese (zh)  | 444,835 |
+
+### Number of Records per Label
+| Label     | Count    |
+|-----------|----------|
+| Negative  | 1,436,539 |
+| Neutral   | 1,041,512 |
+| Positive  | 1,456,298 |
+
+## Applications
+This dataset is well-suited for training and evaluating models in multilingual sentiment analysis, natural language processing (NLP), and domain-specific sentiment classification tasks.
+
+## Loading dataset
+```python
+from datasets import load_dataset
+
+# Load the MultilingualSentiment dataset
+dataset = load_dataset("clapAI/MultiLingualSentiment")
+
+print(dataset)
+
+```
+
+```
+DatasetDict({
+    train: Dataset({
+        features: ['text', 'label', 'source', 'domain', 'language'],
+        num_rows: 3147478
+    })
+    validation: Dataset({
+        features: ['text', 'label', 'source', 'domain', 'language'],
+        num_rows: 393435
+    })
+    test: Dataset({
+        features: ['text', 'label', 'source', 'domain', 'language'],
+        num_rows: 393436
+    })
+})
+```
+
+## Citation
+
+```bibtex
+@dataset{clapAI2024multilingualsentiment,
+  title        = {MultilingualSentiment: A Multilingual Sentiment Classification Dataset},
+  author       = {clapAI},
+  year         = {2024},
+  url          = {https://huggingface.co/datasets/clapAI/MultiLingualSentiment},
+  description  = {A multilingual dataset for sentiment analysis with labels: positive, neutral, negative, covering diverse languages and domains.},
+}
+```