Update README.md

README.md

@@ -79,13 +79,15 @@ A curated collection of English-language texts for AI training and research.
 - [openbmb/Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb)  
 - [Zyphra/Zyda-2](https://huggingface.co/datasets/Zyphra/Zyda-2)  
 
-Each dataset was
-1. Split into ~2 000-token chunks using the [LLaMA 3.1 tokenizer](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
-2. Cleaned (normalized spaces, punctuation, and characters, replaced emails and phone numbers with placeholders)
-3. Scored using the [`agentlans/GIST-all-MiniLM-L6-v2-quality-v3`](https://huggingface.co/agentlans/GIST-all-MiniLM-L6-v2-quality-v3) classifier
-4. Exact duplicates removed
+Each dataset was processed as follows:
 
-100 000 chunks per source were included.
+1. Split into approximately 2 000-token chunks using the [LLaMA 3.1 tokenizer](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).  
+2. Cleaned by normalizing spaces, punctuation, and characters, and replacing emails and phone numbers with placeholders.  
+3. Scored using the [`agentlans/GIST-all-MiniLM-L6-v2-quality-v3`](https://huggingface.co/agentlans/GIST-all-MiniLM-L6-v2-quality-v3) classifier:  
+   - Only chunks with a quality score greater than 1 were included.  
+4. Removed exact duplicates.  
+
+After filtering, 100 000 chunks per source were included in the final dataset.
 
 ### Clustering
 Agglomerative clustering was applied using embeddings from the [`Snowflake/snowflake-arctic-embed-xs`](https://huggingface.co/Snowflake/snowflake-arctic-embed-xs) 
@@ -102,11 +104,12 @@ model at multiple cluster counts: 100, 200, 500, 1 000, 2 000, 5&t
 ```
 
 ### Limitations
-- Focused on academic, educational, and pedagogical content for a general audience.  
-- May contain outdated or unreliable information (including self-published material, pseudoscience, conspiracy theories).  
-- Quality scores reflect syntax and tone, not factual accuracy.  
-- Some repetition may occur (for example, dictionary entries, geographic distance calculations).
-- The entries may be broken in the middle of a word or sentence.
 
-### License
+- Primarily focuses on academic, educational, and pedagogical content intended for a general audience.  
+- May include outdated, unreliable, or controversial information (such as self-published material, pseudoscience, or conspiracy theories).  
+- Quality scores evaluate syntax and tone, but do not guarantee factual accuracy.  
+- Occasional repetition may occur (for example, dictionary entries or geographic distance calculations).  
+- Entries might be interrupted mid-word or mid-sentence.
+
+### Licence
 Provided under the Open Data Commons Attribution License (ODC-BY).