README.md

metadata

configs:
  - config_name: eukaryote_generator
    data_files:
      - split: train
        path: eukaryote_generator/**/*.parquet
  - config_name: mrna_evo2
    data_files:
      - split: train
        path: mrna_evo2/*.parquet
  - config_name: mrna_splice_evo2
    data_files:
      - split: train
        path: mrna_splice_evo2/*.parquet
  - config_name: prokaryote_evo2
    data_files:
      - split: train
        path: prokaryote_evo2/*.parquet

Carbon pretraining corpus

Private aggregation of the four sources used for Carbon pure-DNA pretraining, all stored as parquet for direct load_dataset access.

Subsets

Subset	Source	Description
eukaryote_generator	GenerTeam/pretrain_data_eukaryote	Eukaryote DNA, sharded by species (fungi/, plants/, protozoa/, vertebrate_mammalian/, ...)
mrna_evo2	arcinstitute/opengenome2 / mrna	mRNA sequences, train chunks only
mrna_splice_evo2	arcinstitute/opengenome2 / mrna_splice_promoter	mRNA + splice + promoter, train chunks only
prokaryote_evo2	arcinstitute/opengenome2 / gtdb_v220_imgpr	Prokaryote (GTDB v220 + IMG/PR), train chunks only

Test splits from opengenome2 are not included (this is a pretraining corpus).

Usage

from datasets import load_dataset

# pick any subset
ds = load_dataset("hf-carbon/carbon-pretraining-corpus", "mrna_evo2", split="train", streaming=True)
print(next(iter(ds)))

License

Defer to upstream sources:

• GenerTeam/pretrain_data_eukaryote — see upstream repo.
• arcinstitute/opengenome2 — see upstream repo.