Update README.md

README.md

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 # DCLM-Edu
 
 ## Description
-This is a filtered version of [DCLM](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0) dataset using FineWeb-Edu educational quality [classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier). We annotate each web page based on the educational quality
+This is a filtered version of the [DCLM](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0) dataset using FineWeb-Edu educational quality [classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier). We annotate each web page based on the educational quality
 on a scale from 0 to 5 and only keep samples with a score higher than 2. This dataset is intended for language models training and was used to train [SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) and [SmolLM2-360M](https://huggingface.co/HuggingFaceTB/SmolLM2-360M).
 
-**_Note:_** As show in teh performance section, we find that further filtering the dataset to only keep **samples with `edu_int_score>=3` yields even better downstream performance when training small laguage models**. We include score 2 samples to allow for rebalancing and added diversity, but you can filter the dataset with `datasets` or `datatrove` as shown below.
+**_Note:_** As show in the performance section, we find that further filtering the dataset to only keep **samples with `edu_int_score>=3` yields even better downstream performance when training small laguage models**. We include score 2 samples to allow for rebalancing and added diversity, but you can filter the dataset with `datasets` or `datatrove` as shown below.
 
 ## How to use
 ### Using `datasets`