Update README.md

README.md

@@ -5,7 +5,12 @@ task_categories:
 language:
 - en
 tags:
-- legal
+- ibeta
+- replay attack
+- video
+- liveness detection
+- biometric
+- anti-spoofing
 dataset_info:
   features:
   - name: file
@@ -26,6 +31,8 @@ dataset_info:
     num_examples: 10
   download_size: 342902185
   dataset_size: 588
+size_categories:
+- 10K<n<100K
 ---
 
 
@@ -36,11 +43,7 @@ The dataset includes: **replay attacks** - videos of real people played on a com
 
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2Fa40451e66953bd1652887400c0eae4be%2FUntitled.png?generation=1688049829507934&alt=media)
 
-# Get the dataset
-
-### This is just an example of the data
-
-Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/datasets/anti-spoofing-replay?utm_source=huggingface&utm_medium=cpc&utm_campaign=monitors-replay-attacks-dataset) to discuss your requirements, learn about the price and buy the dataset.
+# The dataset is created on the basis of [iBeta Level 1 Dataset](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=monitors-replay-attacks-dataset)
 
 # Content
 The folder "attacks" includes videos of replay attacks
@@ -65,10 +68,8 @@ includes the following information for each media file:
 - **age**: age of the person in the video,
 - **country**: country of the person
 
-## [**TrainingData**](https://trainingdata.pro/datasets/anti-spoofing-replay?utm_source=huggingface&utm_medium=cpc&utm_campaign=monitors-replay-attacks-dataset) provides high-quality data annotation tailored to your needs
-
-More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
+##  👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset of 25,000+ human images & videos - [Full dataset](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=monitors-replay-attacks-datasetg)
 
-TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
+#**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=monitors-replay-attacks-dataset)**
 
 *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, video replay attack, replay attack dataset, replay attack database, replay mobile dataset, video attack attempts, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video classification dataset, monitors, attacks classification, security of personal data, fraud detection, fraud recognition, large-scale face anti spoofing, rich annotations anti spoofing dataset, large-scale face anti spoofing, rich annotations anti spoofing dataset, display spoof attack*