Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    TypeError
Message:      Value.__init__() missing 1 required positional argument: 'dtype'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 700, in get_module
                  config_name: DatasetInfo.from_dict(dataset_info_dict)
                               ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 284, in from_dict
                  return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
                File "<string>", line 20, in __init__
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 170, in __post_init__
                  self.features = Features.from_dict(self.features)
                                  ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1993, in from_dict
                  obj = generate_from_dict(dic)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1574, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1593, in generate_from_dict
                  return class_type(**{k: v for k, v in obj.items() if k in field_names})
              TypeError: Value.__init__() missing 1 required positional argument: 'dtype'

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Evo2 Dataset

Dataset Description

Evo2 Dataset is an Evo2 mini genome dataset adapted for OneScience/evo2/. It contains FASTA, compressed FASTA, and merged FASTA files for human chr20, chr21, and chr22, as well as train, validation, and test .bin/.idx splits preprocessed with the Byte-Level tokenizer.

Supported Tasks

This dataset is not the complete OpenGenome2 dataset and is not intended to reproduce full-scale pretraining. It is intended for preflight checks of the standard Evo2 model repository, FASTA prediction input, and smoke tests for mini training or fine-tuning.

Dataset Format and Structure

Data Format Description
Raw sequences FASTA / gzip FASTA chr20, chr21, chr22, and merged FASTA
Preprocessed training split .bin + .idx chr20_21_22_uint8_distinct_byte-level_train
Preprocessed validation split .bin + .idx chr20_21_22_uint8_distinct_byte-level_val
Preprocessed test split .bin + .idx chr20_21_22_uint8_distinct_byte-level_test
Checksum manifest TSV / SHA256 File names, sizes, and hashes

The default location within the dataset package is data_mini/genome_data/.

How to Use the Dataset

Files and Download

Download the dataset:

hf download --dataset OneScience-Sugon/evo2_dataset

Model weights must be downloaded separately to validate the model:

hf download --model OneScience-Sugon/evo2/

Data Placement and Validation

Default model data path:

<MODEL_REPO_ROOT>/data/evo2_dataset/data_mini/genome_data/

Place data_mini in the model package:

mkdir -p <MODEL_REPO_ROOT>/data/evo2_dataset
cp -a data_mini <MODEL_REPO_ROOT>/data/evo2_dataset/data_mini

Validation command:

python scripts/validate_evo2_dataset.py --package-root . --dataset-root data_mini

For a quick structure-only check, add --skip-sha256.

Official OneScience Information

Limitations and License

Repository license: Apache-2.0 Data license: LicenseRef-UCSC-hg38-public-use Data source: UCSC hg38 / GRCh38, chromosomes 20, 21 and 22 Note: Derived bin/idx files follow the source genome data terms.

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