Update README.md

README.md

@@ -12,17 +12,18 @@ tags:
 - code
 - finance
 ---
-
-# Reviews on Messengers Dataset 🤳 ⭐️
+# Reviews on Messengers Dataset - Review dataset 
 
 The Reviews on Messengers Dataset is a comprehensive collection of **200** the most recent customer reviews on **6** messengers obtained from the popular app store, **Google Play**. See the list of the apps below.
 This dataset encompasses reviews written in **5** different languages: English, French, German, Italian, Japanese.
 
+# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=messengers-reviews-google-play)** to buy the dataset
+
 The dataset's multilingual nature makes it useful for natural language processing tasks, sentiment analysis algorithms, and other machine learning applications that require diverse language data for training and evaluation.
 
 The dataset can be highly valuable in training and fine-tuning machine learning models to automatically classify sentiments, predict customer satisfaction, or extract key information from customer reviews. 
 
-The data was scraped with `google-play-scraper` python lib by [TrainingData Team](https://trainingdata.pro/data-market?utm_source=kaggle&utm_medium=cpc&utm_campaign=6000-messengers-reviews-google-play).
+The data was scraped with `google-play-scraper` python lib by [TrainingData Team](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=messengers-reviews-google-play).
 
 ### Apps in the dataset and their IDs: 
 - Telegram: `'org.telegram.messenger'`,
@@ -39,6 +40,8 @@ The data was scraped with `google-play-scraper` python lib by [TrainingData Team
 - Italian : `IT`,
 - Japanese: `JP`
 
+# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=messengers-reviews-google-play)** to discuss your requirements, learn about the price and buy the dataset
+
 # Content
 For each item, we extracted:
 - **reviewId**: ID of the review,
@@ -56,8 +59,10 @@ For each item, we extracted:
 
 # Try to find the messenger with the most attentive support 😉
 
-## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=messengers-reviews-google-play)** provides high-quality data annotation tailored to your needs
+## **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=messengers-reviews-google-play)** provides high-quality data annotation tailored to your needs
 
 More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
 
-TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
+TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
+
+*keywords: app reviews, internet, mobile app reviews, google play store, android apps, web scraping, parsing, online database software, customers, reviews dataset, text dataset, ratings, user review data, consumer review data, sentiment analysis, llm dataset, language modeling, large language models, text classification, text mining dataset, natural language texts, nlp, nlp open-source dataset, text data*