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README.md

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 # Qwen3-Inspired Pre-training Dataset
 
 ## Overview
+This is a demo version with sampled data from each source.
 
 This dataset is a curated mixture of high-quality text data designed for large language model pre-training, inspired by the Qwen3 methodology.
 
 ## Dataset Statistics
 
-**Total Size:** 10.19 billion tokens
+**Total Size:** 6.78 billion tokens
 
 ### Data Sources
 
-- **dclm_baseline**: 6.21B tokens (60.92%) - 4,973,695 documents
-- **mini_pile**: 1.43B tokens (14.04%) - 999,249 documents
-- **common_corpus**: 1.01B tokens (9.87%) - 246,160 documents
-- **the_stack**: 0.96B tokens (9.4%) - 248,650 documents
-- **math_pile**: 0.59B tokens (5.77%) - 66,729 documents
+- **dclm_baseline**: 3.71B tokens (54.78%) - 2,981,871 documents
+- **mini_pile**: 1.43B tokens (21.09%) - 998,100 documents
+- **the_stack**: 0.82B tokens (12.09%) - 148,195 documents
+- **common_corpus**: 0.82B tokens (12.04%) - 194,877 documents
 
 
 ## Data Processing Pipeline
@@ -48,10 +48,9 @@ dataset = load_dataset("bluelightai-dev/qwen_clt_pretrain_data")
 
 The dataset combines data from the following sources:
 - **DCLM Baseline**: High-quality web text from DataComp-LM
-- **Common Corpus**: Multilingual web text corpus
+- **Common Corpus**: Curated common crawl data  
 - **The Stack**: Deduplicated source code
 - **Mini Pile**: Academic and reference texts
-- **Math Pile**: Mathematical content and reasoning datasets
 
 ## License