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Upload config.yaml with huggingface_hub

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+ # =============================================================================
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+ # config.yaml — Genome Dataset Pre-processing Configuration
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+ # =============================================================================
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+
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+ # Root directory containing all species folders.
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+ # Expected layout: {data_root}/{species}/{assembly}/{species}_{annotation}_genomic.fna
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+ # {species}_{annotation}.gff3
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+ data_root: /share/kuleshov/emm392/mammal_genomes/
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+
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+ # Where to write the final HuggingFace DatasetDict (saved with save_to_disk).
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+ output_dir: "./output"
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+
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+ # Where to cache processed annotation files
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+ cache_dir: ".cache"
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+
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+ # ---------------------------------------------------------------------------
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+ # Sliding-window parameters
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+ # ---------------------------------------------------------------------------
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+ chunk_size: 12_000 # Length of each sequence chunk in base pairs
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+ stride: 12_000 # Step size between consecutive chunks (256 = 50% overlap for chunk of 512)
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+ # Set stride == chunk_size for non-overlapping chunks
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+
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+ # ---------------------------------------------------------------------------
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+ # CDS flanking regions
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+ # ---------------------------------------------------------------------------
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+ # Extra bases to include BEFORE the CDS start (upstream, on the feature strand)
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+ flank_upstream_bp: 10_000
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+ # Extra bases to include AFTER the CDS end (downstream, on the feature strand)
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+ flank_downstream_bp: 10_000
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+
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+ # max percentage of N's allowed in a given sequence
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+ max_n_perc: 0.25
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+
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+ # ---------------------------------------------------------------------------
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+ # Species selection & validation split
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+ # ---------------------------------------------------------------------------
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+ # Only species listed here are processed — everything else in data_root is
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+ # ignored. Each entry requires:
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+ # - name : matches the directory name exactly under data_root
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+ # - val_chromosome: contig/chromosome ID to hold out for validation.
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+ # Must match the FASTA header exactly (first word after ">").
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+ # Tip: grep "^>" your_file.fna | head to list available IDs.
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+ #
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+ # train species — ALL chromosomes go to train except val_chromosome
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+ # validation species — same rule applies; val_chromosome goes to validation,
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+ # remaining chromosomes go to train
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+ #
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+ # If you want a species to contribute ONLY to train (no val chrom), set
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+ # val_chromosome to null.
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+
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+ species:
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+ train:
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+ - name: "Homo_sapiens"
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+ val_chromosome: "NC_000008.11" # hold out chr8
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+
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+ - name: "Mus_musculus"
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+ val_chromosome: "NC_000070.7" # hold out chr3
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+
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+ - name: "Pan_troglodytes"
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+ val_chromosome: "NC_072404.2" # hold out chr6
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+
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+ # Add more training species here:
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+ # - name: "rattus_norvegicus"
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+ # val_chromosome: "NC_005100.4"
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+
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+ validation:
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+ # Species listed here follow the same rule: val_chromosome → validation,
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+ # all other chromosomes → train. Use this section if you want to keep
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+ # certain species exclusively (or primarily) for evaluation bookkeeping.
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+ # Most users will leave this empty and rely on val_chromosome above.
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+ #
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+ # - name: "danio_rerio"
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+ # val_chromosome: "NC_007112.7"
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+
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+ # ---------------------------------------------------------------------------
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+ # Misc
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+ # ---------------------------------------------------------------------------
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+ shuffle: False # Shuffle the training set after building
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+ seed: 42