Update README.md

README.md

@@ -42,10 +42,10 @@ KoPI-CC (Korpus Perayapan Indonesia)-CC is Indonesian only extract from Common C
 
 Each folder name inside snapshots folder denoted preprocessing technique that has been applied .
 
- - Raw
+ - **Raw**
 	 - this processed directly from cc snapshot using ungoliant without any addition filter ,you can read it in their paper (citation below)
 	 - use same "raw cc snapshot" for `2021_10` and `2021_49` which  can be found in oscar dataset ([2109](https://huggingface.co/datasets/oscar-corpus/OSCAR-2109/tree/main/packaged_nondedup/id) and [2201](https://huggingface.co/datasets/oscar-corpus/OSCAR-2201/tree/main/compressed/id_meta))
- - Dedup
+ - **Dedup**
 	 - use data from raw folder
 	 - apply cleaning techniques for every text in documents such as 
 		 - fix html
@@ -62,7 +62,7 @@ Each folder name inside snapshots folder denoted preprocessing technique that ha
 		 - hash all text with md5 hashlib
 		 - remove non-unique hash
 	 - full code about dedup step adapted from [here](https://huggingface.co/datasets/Finnish-NLP/mc4_fi_cleaned/tree/main)
- - Neardup
+ - **Neardup**
 	 - use data from dedup folder
 	
 	 - create index cluster using neardup [Minhash and LSH](http://ekzhu.com/datasketch/lsh.html) with following config :
@@ -73,7 +73,7 @@ Each folder name inside snapshots folder denoted preprocessing technique that ha
 	
 	 - fillter by removing all index from cluster
 	 - full code about neardup step adapted from  [here](https://github.com/ChenghaoMou/text-dedup)
- - Neardup_clean
+ - **Neardup_clean**
 	 -    use data from neardup folder
 	 -    Removing documents containing words from a selection of the  [Indonesian Bad Words](https://github.com/acul3/c4_id_processed/blob/67e10c086d43152788549ef05b7f09060e769993/clean/badwords_ennl.py#L64).