Update README.md

README.md

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 # carbon-cpu-enriched-sequences
 
-A CPU-enriched, analysis-ready subset of the **[carbon pretraining corpus](https://huggingface.co/datasets/HuggingFaceBio/carbon-pretraining-corpus)**, combining original source fields with normalized sequences
-and deterministic row-level features for quality analysis, GPU enrichment and embedding generation.
+A CPU-enriched subset of the **[carbon pretraining corpus (`eukaryote_generator`)](https://huggingface.co/datasets/HuggingFaceBio/carbon-pretraining-corpus)**, combining original source fields with normalized sequences
+and row-level features for quality analysis, GPU enrichment and embedding generation.
 
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@@ -57,7 +57,7 @@ The dataset contains **both the original Carbon fields and derived enrichment fe
 
 The original Carbon source corpus contains approximately **46.3 million records**. This release contains **32,410,000 records**, corresponding to approximately **70% of the source row population**. The release was selected as a practical balance between corpus representation, CPU processing cost, storage requirements, and downstream GPU compute availability.
 
-The dataset preserves the original Carbon source representation while adding deterministic CPU-derived enrichment features:
+The dataset preserves the original Carbon source representation while adding CPU-derived enrichment features:
 
 ```text
 Original Carbon columns
@@ -69,7 +69,7 @@ CPU-enriched Parquet dataset
 
 The current materialized release contains approximately **25 columns**, consisting of approximately **14 source/raw columns** and **11 derived enrichment columns**. The exact schema should be inspected from the Parquet files, as future enrichment revisions may add or modify derived fields.
 
-CPU enrichment includes deterministic sequence-level and metadata-derived information such as sequence characteristics, coding status, strand/orientation information, and taxonomy depth. Coding sequences are identified using the observed Carbon representation `<cds>`.
+CPU enrichment includes sequence-level and metadata-derived information such as sequence characteristics, coding status, strand/orientation information, and taxonomy depth. Coding sequences are identified using the observed Carbon representation `<cds>`.
 
 The dataset is stored as **Apache Parquet** with **Zstandard compression**, using approximately **50,000 rows per shard**.