Update README.md

README.md

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 ## Qwark Corpus
 
-1 billion high quality tokens from the internet, based on [HuggingFaceTB/smollm-corpus](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus)'s `fineweb-edu-dedup` subset.
+1.3B+ high quality tokens from the internet, based on [HuggingFaceTB/smollm-corpus](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus)'s `fineweb-edu-dedup` subset as well as [FineMath-4+](HuggingFaceTB/finemath).
 
 Filtering process:
 
-| Step                                                   | Description                                            | Rows Remaining |
+| Step                                                   | Description                                            | Rows |
 |--------------------------------------------------------|--------------------------------------------------------|----------------|
-| 1. Stream dataset until 1M samples have been selected  | Keep only items with score > 3.2             | 1,000,000      |
-| 2. Remove items with length > 50,000                   | Filter items exceeding 50,000 characters in length     | 994,960        |
-| 3. Combine with a selection of 4,000 TED transcripts   | Add educational TED talk transcripts to the dataset    | 998,965      |
-| 4. Filter and remove items containing strange characters | Clean items with strange characters after merging       | 998,960      |
+| 1. Stream dataset until 600K samples have been selected from SmolLM Corpus  | Keep only items with score >= 3.5             | 600,000      |
+| 2. Remove items with length > 50,000                   | Filter items exceeding 50,000 characters in length     | 597,142        |
+| 3. Combine with a selection of 4,000 TED transcripts   | Add educational TED talk transcripts to the dataset    | 60,1147      |
+| 4. Stream 400K samples from FineMath-4+ | Keep only items with score >= 4.0       | 1,001,147      |
+| 5. Remove items with length > 50,000 | Filter items exceeding 50,000 characters in length     | 999,245|