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README.md

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-license: mit
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+license: mit
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+<p align="center">
+    📑 <a href="" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🔨 <a href="https://huggingface.co/hkust-nlp/PreSelect-classifier" target="_blank">fastText Classifier</a> &nbsp&nbsp | &nbsp&nbsp 🤗 <a href="https://huggingface.co/datasets/hkust-nlp/PreSelect-100B" target="_blank">Released Dataset</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/hkust-nlp/preselect" target="_blank">Repo</a>  
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+</p>
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+PreSelect-100B is a curated ~100B token pretraining dataset that achieves great performance on various benchmarks. 
+It is filtered by [PreSelect-Classifier](https://huggingface.co/hkust-nlp/PreSelect-classifier) at 10% threshold, where the pool is a randomly sampled subset of [DCLM-refinedweb](https://data.commoncrawl.org/contrib/datacomp/DCLM-refinedweb/index.html), which is a cleaned version of Common Crawl raw data but without any model-based filtering.
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+### Benchmark results
+Trianing using PreSelect curated dataset achieve superior results than other dataset selection methods on various downstream tasks and below are comparisons.
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/641c9662043963b1c0a1df52/_2eDuE5K06giMepA_lNSp.png)
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+### Citation
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+