README.md

---
license: mit
task_categories:
- text-generation
language:
- en
tags:
- agent
size_categories:
- 100M<n<1B
---

# WebText-3 Corpus

WebText-3 is a large-scale, diverse text corpus collected from publicly available web pages. It contains cleaned and normalized sentences suitable for natural language processing (NLP), machine learning, and AI training.

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## Dataset Overview

- **Format:** Plain text (`.txt`), one sentence per line
- **Approximate Size:** 200,000+ sentences
- **Languages:** Primarily English, with occasional Hebrew content
- **Source Types:** Wikipedia articles, technology news sites, blogs, educational resources, social media platforms, and developer documentation
- **Content Coverage:** 
  - Artificial intelligence, machine learning, and large language models
  - Programming languages, software, and tools
  - Science, astronomy, and mathematics
  - Technology trends, cloud platforms, and AI research
  - News, politics, global events, and human-related topics
  - Entertainment, gaming, online culture, and social media
  - Miscellaneous topics such as philosophy, space, and general knowledge

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## Data Characteristics

- **Sentence Length:** Varies; short to medium-length sentences
- **Cleanliness:** Text has been cleaned to remove invisible characters, unusual symbols, and excessive whitespace
- **Usability:** Ready for NLP tasks such as language modeling, text classification, summarization, or AI fine-tuning

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## Example Usage

- Training large language models or chatbots
- Benchmarking NLP algorithms
- Data analysis or text mining
- Educational research on language patterns

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WebText-3 provides a rich and broad textual resource suitable for both research and practical AI applications.