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README.md

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+# Dataset for whole-bacterial genomes clustering (DNA)
+
+A dataset of 60,710 bacterial genomes across 25 species, 10 genera and 7 families.
+
+The genome DNA sequences have been extracted from [MGnify](https://www.ebi.ac.uk/metagenomics). Each row contains whole bacterial genome, with spaces
+separating different contigs present in the genome.
+
+
+## Labels
+The species, genus and family labels have been provided by MGnify
+
+## Usage
+We recommend loading the dataset in a streaming mode to prevent memory errors.
+```python
+from datasets import load_dataset
+
+
+ds = load_dataset("macwiatrak/bacbench-strain-clustering-dna", split="test", streaming=True)
+
+# fetch the DNA sequence of the genome
+item = next(iter(ds))
+dna_seq = item["dna_sequence"]
+# get DNA sequences for each contig
+dna_seq_contigs = dna_seq.split()
+```
+
+## Split
+
+The strain clustering task is a fully unsupervised task, therefore, we do not perform any split and the whole dataset is available as part of the `test` split.
+
+See [github repository](https://github.com/macwiatrak/Bacbench) for details on how to embed the dataset with DNA and protein language models as well as code to predict antibiotic
+resistance from sequence. For coding sequence representation of the genome see the [strain-clustering-protein-sequences](https://huggingface.co/datasets/macwiatrak/bacbench-strain-clustering-protein-sequences)
+dataset.
+
 ---
 dataset_info:
   features: