Create a large, deduplicated dataset for LLM pre-training
Organize and process datasets efficiently
Evaluate evaluators in Grounded Question Answering
Colabora para conseguir un Carnaval de Cádiz más accesible
Build datasets using natural language
Manage and analyze datasets with AI tools
Clean and process datasets
Display html
Browse and view Hugging Face datasets
Label data efficiently with ease
Manage and label your datasets
Support by Parquet, CSV, Jsonl, XLS
TxT360: Trillion Extracted Text is a large-scale dataset tool designed to create a massive, deduplicated dataset for training large language models (LLMs). It extracts and organizes text from various sources, ensuring a diverse and comprehensive dataset for AI training purposes.
1. What makes TxT360: Trillion Extracted Text unique?
TxT360 stands out for its trillion-scale dataset and robust deduplication process, ensuring high-quality training data for LLMs.
2. Can I customize the dataset based on specific needs?
Yes, TxT360 offers customizable filters to tailor the dataset according to your requirements.
3. Is TxT360 suitable for training multilingual LLMs?
Absolutely! TxT360 supports multiple languages, making it ideal for training models that handle diverse linguistic data.