Update README.md

README.md

@@ -1,126 +1,28 @@
 ---
-YAML tags:
-- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
----
-
-# Dataset Card for Nexdata/Living_Face_Anti-Spoofing_Data
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** https://www.nexdata.ai/datasets/computervision/971?source=Huggingface
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
+## Description
 This dataset is just a sample of 1,056 People Living_face & Anti-Spoofing Data(paid dataset). The collection scenes include indoor and outdoor scenes. The data includes male and female. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The data includes multiple postures, multiple expressions, and multiple anti-spoofing samples. The data can be used for tasks such as face payment, remote ID authentication, and face unlocking of mobile phone.
                                                                                                                                   
 For more details & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/computervision/971?source=Huggingface
 
+# Specifications
+## Data size
+1,056 people,  235 videos and 63 images for each person
+## Population distribution
+race distribution: 641 Asians, 217 Caucasians, 198 black people; gender distribution: male 542, female 514; age distribution: 56 people under 18 years old, 831 people aged from 18 to 45, 136 people aged from 46 to 60, 33 people over 60 years oldrace distribution: 641 Asians, 217 Caucasians, 198 black people; gender distribution: male 542, female 514; age distribution: 56 people under 18 years old, 831 people aged from 18 to 45, 136 peopl…
+## Collection environment
+776 people were collected in indoor scenes, 280 people were collected in outdoor scenes
+## Collection diversity
+various postures, expressions, light condition, scenes, time periods and distances
+## Collection device
+iPhone, android phone, iPad
+## Collection time
+979 people in daytime, 77 people at night
+## Image Parameter
+the video format is .mov or .mp4, the image format is .jpg
+## Accuracy
+the accuracy of actions exceeds 97%, the accuracy of naming the actions and lip language exceeds 97%
+
+# Licensing Information
+Commercial License
 
-### Supported Tasks and Leaderboards
-
-face-detection, computer-vision: The dataset can be used to train a model for face detection.
-### Languages
-
-English
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-Commerical License
-
-### Citation Information
-
-[More Information Needed]
 
-### Contributions