GTS dives headfirst into the sea of unstructured text data, fishing out hidden gems of insights from a diverse array of documents - think medical reports, insurance claims, or financial records. To push the envelope of tech that talks like us, we've got to get our hands dirty with loads of text data. At GTS, we leave no stone unturned in data collection, making sure each tiny piece is taken into account for model training. We collect all kinds of text data to build top-notch NLP datasets.
We specialize in globally collecting diverse datasets tailored for AI and ML advancements. Our expansive repertoire includes Receipt Data, Ticket Datasets, EHR & Physician Dictation Transcripts, Document Datasets, Handwritten Data Transcription, OCR Dataset Training, and Chatbot Training Data. By tapping into these rich datasets, companies can power up their AI projects, making sure the models they build are sharper, more in tune with worldwide variations and quicker to respond..
1 – E-books, journals, and online articles.
2 – Blog posts and web content from various domains.
1 – Tweets, Facebook posts, and comments.
2 – Reviews and feedback from platforms like Yelp, TripAdvisor, or Amazon.
1- Threads and posts from platforms like Reddit, Quora, and specialized forums.
1- Research papers, theses, and dissertations.
2- Technical manuals and documentation.
1- Annual reports, financial statements, and business correspondence.
2- Market research reports and industry whitepapers.
1- Contracts, agreements, and legal case documents.
2- Policies, terms of service, and privacy statements.
1- Novels, poetry, plays, and other literary texts.
2- Historical documents and archives.
1- Textbooks, course materials, and lecture notes.
2- Student essays and assignments.
1- Public notices, government reports, and official communications.
2- Census data and public surveys.
1- Patient records, medical histories, and doctor’s notes.
2- Medical research and clinical trial data.
1- Transcriptions of interviews, podcasts, and video content.
2- Conference and seminar transcripts.
1- Interactions between users and chatbots.
2- Customer support chat logs and email correspondence.
Empower your autonomous systems with high-quality data collection, essential for safe and efficient operation.
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Assist in medical research and diagnostic tools by collecting valuable medical data and images.
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Enhance your retail analytics and customer experiences through comprehensive data gathering.
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Securely collect and analyze financial data to drive informed decision-making and risk assessment.
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Fuel innovation in the tech sector with accurate and diverse data for AI and machine learning applications.
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Support government initiatives with data collection services for public policy, security, and more.
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Conclusion The “Text Classification for News Aggregation” dataset is a valuable resource for news aggregators, content recommendation systems, and information retrieval applications. With accurately annotated news articles and comprehensive metadata, this dataset empowers the development of advanced text classification models that can automatically categorize and organize news content for users. It contributes to improved news […]
Conclusion The “Speech-to-Text Conversion for Podcast Transcripts” dataset is a valuable resource for podcasters, content creators, and transcription services seeking accurate and efficient podcast transcription solutions. With accurately annotated podcast transcriptions and comprehensive metadata, this dataset empowers the development of advanced ASR models and transcription tools that can automate the generation of high-quality podcast transcripts. […]
Conclusion The “Handwriting Analysis for Personality Assessment” dataset is a valuable resource for researchers and developers working on personality assessment and graphology-related projects. With accurately annotated handwriting samples and comprehensive metadata, this dataset empowers the development of machine learning models and tools that can analyze and assess personality traits based on handwriting characteristics. It contributes […]
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