Audio Transcription
Datasets and Services for Training LLM
Image Annotation USE CASE
Spam Messages Collection
Text datasets of emails of different formats for training a neural network to identify spam and classify messages
Machine Learning Enables computer systems to automatically learn from data and make predictions
NLP The ability of a system to understand, analyze and interpret human's languages
Safety Training algorithms to recognize situations that can cause harm
Data Collection Gathering data for subsequent annotation
Our Partners
CASE DESCRIPTION
SMS Spam ENG
- 10 000 emails
- 2 weeks
Data generation of unsolicited text messages, which includes promotional mailings, viral links, microfinance offers and other fraudulent schemes in English
Email Spam
- 15,000 messages
- 3 weeks
Data generation of emails and classification into two main classes: “spam” and “not spam”. E-mails with a length of 50 to 7,500 characters are written in different languages, designed in colloquial and official speech styles
APPLICATION AREAS OF THE DATASET
Email filtering:
Classification to separate spam emails from legitimate ones, identify and filter out unwanted messages
Anomaly detection:
Text classification to identify unusual or suspicious email patterns, detect and prevent email-based attacks
NLP research:
Data in the dataset for language modeling, sentiment analysis and improving the overall performance of NLP algorithms
Cybersecurity:
Classification for the overall security posture for individuals and organizations
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Why
Training Data
- Quality Assurance:
- Enhanced Data Accuracy
- Consistency in Labels
- Reliable Ground Truth
- Mitigation of Annotation Biases
- Cost and Time Efficiency
- Data Security and Confidentiality:
- GDPR Compliance
- Non-disclosure agreement
- Data Encryption
- Multiple data storage options
- Access Controls and Authentication
- Expert Team:
- 6 years in industry
- 35 top project managers
- 40+ languages
- 100+ countries
- 250k+ assessors
- Flexible and Scalable Solutions:
- 24/7 availability of customer service
- 100% post payment
- $550 minimum check
- Variable Workload
- Customized Solutions
Team leads project
Kirill Meshyk
Operations manager
Arthur Kazukevich
Python-developer
Ksenia Sikorskaya
Project manager