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  **Source:** [GenerTeam/pretrain_data_eukaryote](https://huggingface.co/datasets/GenerTeam/pretrain_data_eukaryote)
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- Genomic sequences from eukaryotic organisms (fungi, plants, animals, and more), packaged by the GenerTeam as part of their [GENERator](https://arxiv.org/abs/2502.07272) genomic foundation model. This is the main part of Carbon's training data, which is focused on eukaryote species. Each row carries full taxonomic metadata, gene type, strand orientation, and chromosome coordinates alongside the raw sequence.
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  Following GENERator, we filter out sequences longer than 100 kbp, as excluding them improves training performance on DNA downstream benchmarks. For long-context training, you can concatenate genes from the same contig to build longer samples.
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  **Source:** [GenerTeam/pretrain_data_eukaryote](https://huggingface.co/datasets/GenerTeam/pretrain_data_eukaryote)
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+ Genomic sequences from eukaryotic organisms (fungi, plants, protozoa, invertebrate and vertebrate), packaged by the GenerTeam as part of their [GENERator](https://arxiv.org/abs/2502.07272) genomic foundation model. This is the main part of Carbon's training data, which is focused on eukaryote species. Each row carries full taxonomic metadata, gene type, strand orientation, and chromosome coordinates alongside the raw sequence.
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  Following GENERator, we filter out sequences longer than 100 kbp, as excluding them improves training performance on DNA downstream benchmarks. For long-context training, you can concatenate genes from the same contig to build longer samples.
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