Update README.md

README.md

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----
-license: mit
----
+---
+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.
+
+---
+
+## 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
+
+---
+
+## 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
+
+---
+
+## Example Usage
+
+- Training large language models or chatbots
+- Benchmarking NLP algorithms
+- Data analysis or text mining
+- Educational research on language patterns
+
+---
+
+WebText-3 provides a rich and broad textual resource suitable for both research and practical AI applications.