Update README.md

README.md

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 # Dataset Card for Recycling-The-Web Synthetic Data
 
-We release ~44B tokens of high-quality, filtered synthetic texts obtained via our REcycling the Web with guIded REwrite (REWIRE) approach.
+We release ~44B tokens of high-quality, model-filtered synthetic texts obtained via our [REcycling the Web with guIded REwrite (REWIRE)](https://arxiv.org/abs/2506.04689) approach.
 The generation process involves taking all documents that are of moderate quality (i.e., having passed some rule-based filters), 
 using an LLM (Llama-3.3-70B-Instruct) to identify the purpose of the text content, and then asking the LLM to come up with an improved document conditioned on chain-of-thought reasoning. 
 Our approach specifically targets the vast quantity of low-quality documents that are somewhat informative but still not considered high-quality by existing filters. 
@@ -50,6 +50,9 @@ The data is intended for pre-training large language models (LLMs), and designed
 
 The data was obtained by using an LLM to rewrite low-quality documents that have been discarded by quality filters, in order to make them useful for pre-training. 
 This helps increase the token availability and address the impending data bottleneck, as the growth of public human-generated texts has been lagging behind the increase in model capacity and training token budget.
+Across different model scales, we find that mixing our synthetic data and high-quality web data consistently outperforms training on only the latter.
+
+![Summary of performance improvement](https://huggingface.co/datasets/facebook/recycling_the_web/blob/main/main_figure.png)
 
 ### Source Data
 
@@ -73,6 +76,7 @@ The negative data are random samples selected from our rewriting generations.
 
 This data release contains _only_ the rewritten outputs that have been filtered, i.e. those in the top 10% of the generations based on fastText scores.
 
+![REWIRE pipeline](https://huggingface.co/datasets/facebook/recycling_the_web/blob/main/REWIRE_pipeline.png)
 
 #### Personal and Sensitive Information