test: V9_comment_elsewhere

README.md

@@ -147,13 +147,15 @@ We recommend using [DuckDB](https://duckdb.org/) to access this dataset.
 
 - **Curated by:** Net Zhang, Elizabeth Campolongo, Matthew Thompson, Jianyang Gu
 - **Homepage:** [BioCLIP Ecosystem Site](https://imageomics.github.io/bioclip-ecosystem/)
-- **Repository:** <!-- TODO: link to project repo -->
+- **Repository:** [TreeOfLife-Toolbox](https://github.com/Imageomics/treeoflife-toolbox)
 - **Paper:** [BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning](https://arxiv.org/abs/2505.23883)
 
 This repository contains pre-computed embedding vectors derived from the [TreeOfLife-200M](https://huggingface.co/datasets/imageomics/TreeOfLife-200M) dataset. Each row pairs a TreeOfLife-200M image (identified by `uuid`) with its embedding vector and associated taxonomic metadata. The data is sorted by taxonomy and stored in Parquet format with page indexes, enabling fast filtered access through Hugging Face. 
 
 ### Supported Tasks
 
+<!-- TODO: unrelated comment elsewhere -->
+
 - **Feature extraction:** Retrieve pre-computed embedding vectors for any (taxonomic) subset without re-running the image embedding model.
 - **Taxonomy-filtered retrieval:** Query embeddings by kingdom, order, family, genus, or species using DuckDB with page-index predicate pushdown.
 - **Downstream training:** Use filtered embedding subsets for fine-tuning classifiers, training probes, or building custom indices.