Update README.md

README.md

@@ -46,7 +46,7 @@ The dataset provides data to combine and apply different techniques, approaches,
 
 Our dataset also explores the use of neural architectures, such as deep neural networks, to facilitate the identification of distinguishing patterns and textures in different regions of the face, increasing the accuracy and generalizability of the anti-spoofing models. 
 
-# 💴 For Commercial Usage: Full version of the dataset includes 50 000+ sets of files, leave a request on **[TrainingData](https://trainingdata.pro/datasets/anti-spoofing-real?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_Real)** to buy the dataset
+# 💴 For Commercial Usage: Full version of the dataset includes 50 000+ sets of files, leave a request **[here](https://unidata.pro/datasets/face-anti-spoofing/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=anti-spoofing-real)** to buy the dataset
 
 ### Metadata for the full dataset:
 - **assignment_id** - unique identifier of the media file
@@ -62,7 +62,7 @@ Our dataset also explores the use of neural architectures, such as deep neural n
 - **photo_extension** - photo extensions in the dataset
 - **photo_resolution** - photo resolution in the dataset
 
-# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/anti-spoofing-real?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_Real)** to discuss your requirements, learn about the price and buy the dataset
+# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[the website](https://unidata.pro/datasets/face-anti-spoofing/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=anti-spoofing-real)** to discuss your requirements, learn about the price and buy the dataset
 
 # Content
 ### The folder **"samples"** includes 30 folders:
@@ -81,10 +81,6 @@ includes the following information for each media file:
 - **selfie_file_type**: the type of the photo,
 - **video_file_type**: the type of the video
 
-**[TrainingData](https://trainingdata.pro/datasets/anti-spoofing-real?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_Real)** 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**
+**[Our team](https://unidata.pro/datasets/face-anti-spoofing/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=anti-spoofing-real)** provides high-quality data annotation tailored to your needs.
 
 *keywords: ibeta level 1, ibeta level 2, liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, face detection, face identification, face recognition, human video dataset, video dataset, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset*