Update dataset card: add schema, stats, citation, and Converge Bio about section

README.md

@@ -79,9 +79,9 @@ dataset_info:
 
 # UniRef90
 
-Complete [UniRef90](https://www.uniprot.org/uniref?query=identity:0.9) dataset from UniProt, converted to sharded Parquet. UniRef90 clusters protein sequences at 90% sequence identity, balancing comprehensiveness with reduced redundancy. It is widely used for homology search, protein language model training, and functional annotation transfer.
+Complete [UniRef90](https://www.uniprot.org/uniref?query=identity:0.9) dataset from UniProt, converted from XML to sharded Parquet. UniRef90 clusters sequences at 90% identity, providing a non-redundant protein sequence resource that balances comprehensiveness with reduced redundancy.
 
-**Part of the [ConvergeBio Protein Database Collection](https://huggingface.co/collections/ConvergeBio/protein-database)** — see also [UniRef100](https://huggingface.co/datasets/ConvergeBio/uniref100), [UniRef50](https://huggingface.co/datasets/ConvergeBio/uniref50), and [UniClust30](https://huggingface.co/datasets/ConvergeBio/uniclust30).
+**Part of the [ConvergeBio Protein Database Collection](https://huggingface.co/collections/ConvergeBio/protein-database)** — see also [UniRef100](https://huggingface.co/datasets/ConvergeBio/uniref100), [UniRef50](https://huggingface.co/datasets/ConvergeBio/uniref50), and [UniClust30](https://huggingface.co/datasets/ConvergeBio/uniclust30).
 
 ## Dataset Summary
 
@@ -90,9 +90,9 @@ Complete [UniRef90](https://www.uniprot.org/uniref?query=identity:0.9) dataset f
 | **Clusters** | 188,848,220 |
 | **Shards** | 386 |
 | **Compressed size** | ~52 GB (zstd) |
-| **Sequence lengths** | 11–49,499 aa (median 266, mean 351) |
-| **Members per cluster** | 1–62,973 (median 1, mean 2.8) |
-| **GO annotation coverage** | MF 23.6% · BP 15.4% · CC 15.5% |
+| **Sequence lengths** | 11 – 49,499 aa (median 266, mean 351) |
+| **Members per cluster** | 1 – 62,973 (median 1, mean 2.8) |
+| **GO annotation coverage** | MF 23.6% · BP 15.4% · CC 15.5% |
 | **Updated range** | 2006-10-31 to 2026-01-28 |
 
 ## Schema
@@ -145,9 +145,9 @@ ds = load_dataset("ConvergeBio/uniref90")
 ## Data Processing
 
 - **Source:** `uniref90.xml.gz` from the [UniProt FTP](https://ftp.uniprot.org/pub/databases/uniprot/uniref/uniref90/)
-- **Parsing:** Streaming XML parse with `lxml.etree.iterparse`, multi-process
+- **Parsing:** Streaming XML parse with `lxml.etree.iterparse`, multi-process for throughput
 - **Integrity:** xxHash-128 computed per sequence; CRC64 preserved from source XML
-- **Validation:** Passed all tiers — schema conformance, zero null/empty sequences, xxHash roundtrip, CRC64 format, GO term format, member ID consistency, and field-by-field comparison against source XML
+- **Validation:** Passed all tiers — schema conformance, zero null/empty sequences, xxHash roundtrip, CRC64 format, GO term format, member ID consistency, and field-by-field comparison against source XML
 - **Format:** Sharded Parquet with zstd compression
 
 ## Source & Citation
@@ -156,9 +156,13 @@ UniRef is produced by the [UniProt Consortium](https://www.uniprot.org/):
 
 > Suzek BE, Wang Y, Huang H, McGarvey PB, Wu CH, UniProt Consortium.
 > "UniRef clusters: a comprehensive and scalable alternative for improving
-> sequence similarity searches." *Bioinformatics* 31(6):926–932 (2015).
+> sequence similarity searches." *Bioinformatics* 31(6):926–932 (2015).
 > [doi:10.1093/bioinformatics/btu739](https://doi.org/10.1093/bioinformatics/btu739)
 
+## About
+
+Built by [Converge Bio](https://converge-bio.com) — accelerating drug discovery with generative AI. Converge Bio develops foundation models for protein engineering, antibody design, and gene expression optimization, powering its computational lab products ConvergeAB, ConvergeGEO, and ConvergeCELL.
+
 ## License
 
 UniProt data is available under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).