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  ---
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- dataset_info:
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- - config_name: challenge_test_sequences
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- features:
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- - name: sequence
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- dtype: string
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- - name: sequence_length
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- dtype: int32
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- - name: source_file
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- dtype: string
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- - name: row_id
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- dtype: int64
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- splits:
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- - name: train
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- num_bytes: 10523244
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- num_examples: 71103
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- download_size: 1977625
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- dataset_size: 10523244
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- - config_name: public_leaderboard_ids
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- features:
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- - name: subset
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- dtype: string
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- - name: item_id
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- dtype: string
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- - name: row_id
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- dtype: int64
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- - name: source_member
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- dtype: string
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- - name: line_number
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- dtype: int64
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- - name: raw_line
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 846652
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- num_examples: 10
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- download_size: 577419
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- dataset_size: 846652
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- - config_name: supervised
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- features:
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- - name: sequence
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- dtype: string
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- - name: activity
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- dtype: float32
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- - name: sequence_length
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- dtype: int32
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- - name: source_file
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- dtype: string
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- - name: row_id
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- dtype: int64
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- splits:
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- - name: train
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- num_bytes: 865492987
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- num_examples: 6065325
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- - name: validation
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- num_bytes: 94817770
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- num_examples: 673925
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- - name: test
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- num_bytes: 12656334
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- num_examples: 71103
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- download_size: 347068682
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- dataset_size: 972967091
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- - config_name: test_subset_membership
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- features:
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- - name: subset
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- dtype: string
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- - name: item_id
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- dtype: string
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- - name: row_id
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- dtype: int64
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- - name: source_member
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- dtype: string
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- - name: line_number
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- dtype: int64
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- - name: raw_line
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 22422882
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- num_examples: 63683
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- download_size: 4264569
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- dataset_size: 22422882
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- configs:
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- - config_name: challenge_test_sequences
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- data_files:
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- - split: train
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- path: challenge_test_sequences/train-*
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- - config_name: public_leaderboard_ids
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- data_files:
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- - split: train
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- path: public_leaderboard_ids/train-*
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- - config_name: supervised
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- data_files:
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- - split: train
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- path: supervised/train-*
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- - split: validation
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- path: supervised/validation-*
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- - split: test
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- path: supervised/test-*
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- - config_name: test_subset_membership
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- data_files:
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- - split: train
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- path: test_subset_membership/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - text-regression
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+ language:
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+ - en
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+ tags:
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+ - biology
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+ - dna
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+ - genomics
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+ - promoter
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+ - gene-expression
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+ - carbon
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Random Promoter DREAM Challenge 2022
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+
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+ This dataset repackages the processed Random Promoter DREAM Challenge 2022
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+ files from Zenodo record `10633252` for use with `datasets`.
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+
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+ The task is sequence-to-expression regression on synthetic yeast promoter
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+ sequences. The canonical supervised config contains random promoter training
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+ examples, validation examples, and labeled designed test promoters.
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+
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+ ## Configs
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+
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+ - `supervised`: `train`, `validation`, and `test` splits with promoter
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+ sequences and measured activity.
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+ - `challenge_test_sequences`: unlabeled test sequences for submission-style
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+ prediction workflows.
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+ - `test_subset_membership`: normalized IDs from `test_subset_ids.tar.gz`.
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+ - `public_leaderboard_ids`: normalized IDs from `public_leaderboard_ids.tar.gz`.
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+
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+ ## Schema
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+
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+ `supervised`:
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+
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+ - `sequence`: DNA sequence.
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+ - `activity`: measured promoter activity.
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+ - `sequence_length`: sequence length in base pairs.
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+ - `source_file`: source filename.
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+ - `row_id`: zero-based row index within the source split.
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+
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+ ID metadata configs:
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+
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+ - `subset`: subset name inferred from the archive member.
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+ - `item_id`: raw ID token from the source line.
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+ - `row_id`: integer row ID when `item_id` is numeric; otherwise `-1`.
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+ - `source_member`: archive member path.
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+ - `line_number`: line number within the member.
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+ - `raw_line`: unmodified stripped source line.
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+
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+ ## Usage
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+
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+ ```py
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("HuggingFaceBio/random-promoter-dream-2022", "supervised")
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+ train = ds["train"]
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+ validation = ds["validation"]
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+ test = ds["test"]
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+
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+ subsets = load_dataset("HuggingFaceBio/random-promoter-dream-2022", "test_subset_membership", split="train")
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+ ```
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+
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+ ## Source
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+
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+ Source: Random Promoter DREAM Challenge 2022, Zenodo DOI
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+ `10.5281/zenodo.10633252`.
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+
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+ The source record is licensed CC BY 4.0. Cite the original DREAM Challenge data
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+ and paper when using this dataset.
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+
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+ ## Reproduction
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+
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+ This dataset repo includes `create_dataset.py`, the script used to download,
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+ convert, and upload the configs.