evo2_dataset / onescience_run_manifest.yaml
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onescience_manifest_version: "0.1"
resource_type: dataset
resource:
id: "OneScience/evo2_dataset"
name: "Evo2 mini genome dataset"
domain: bio
domain_tags:
- bio
- genomics
- dna_sequence
task: genome_sequence_modeling_data
task_tags:
- train_data
- validation_data
- test_data
- preflight
modalities:
- dna_sequence
input_formats:
- fasta
- fasta_gzip
- indexed_dataset_bin_idx
output_formats: []
summary: "适配 OneScience/evo2/ 的 chr20/chr21/chr22 mini 基因组数据集,包含 FASTA 原始文件和 Byte-Level 预处理 bin/idx split。"
platform_resource:
primary:
platform: modelscope
repo_id: "OneScience/evo2_dataset"
repo_type: dataset
url: "https://modelscope.cn/datasets/OneScience/evo2_dataset"
revision: main
readme_path: README.md
manifest_path: manifest.yaml
mirrors: []
access:
visibility: public
license: "Dataset license follows source genome data terms"
website_integration:
enabled: true
click_target:
platform: modelscope
resource_url: "https://modelscope.cn/datasets/OneScience/evo2_dataset"
llm_handoff:
readme_required: true
manifest_required: true
download_readme_first: true
resolve_related_models: true
default_run_goal: minimal_validation
cwd_rule: "如果使用 modelscope download --cache_dir 下载,运行 cwd 必须切换到实际下载后的数据集包根目录,即包含 README.md 和 manifest.yaml 的目录。"
runtime:
enabled: true
onescience_domain: bio
supported_execution:
- local
- local_slurm
- remote_slurm
- scnet_mcp
onescience:
repo: "https://gitee.com/onescience-ai/onescience"
official_links:
gitee:
doc: "https://gitee.com/onescience-ai/onescience-doc"
onescience: "https://gitee.com/onescience-ai/onescience"
skills: "https://gitee.com/onescience-ai/oneskills"
github:
doc: "https://github.com/onescience-ai/OneScience-doc"
onescience: "https://github.com/onescience-ai/OneScience"
skills: "https://github.com/onescience-ai/oneskills"
install:
required_by_default: false
command: "pip install -c constraints.txt .[bio]"
source_paths: []
compatibility:
examples_path: "examples/biosciences/evo2"
status: examples_compatible
runtime_package:
kind: standard_runtime_package
package_root: .
standard_layout:
workdir: .
config_dir: null
checkpoint_dir: null
data_dir: data_mini
output_dir: outputs
apply_policy:
mode: direct_use
target: session_workdir
overwrite: true
protect_installed_onescience: true
entry_files:
- scripts/validate_evo2_dataset.py
- data_mini/genome_data/
- metadata/data_mini.files.tsv
- metadata/data_mini.sha256
entrypoints:
preflight: scripts/validate_evo2_dataset.py
inference: null
train: null
finetune: null
evaluate: null
visualize: null
deploy: null
files:
model_files: []
dataset_files:
- id: data_mini
path: data_mini/
role: train_eval_test_data
format: fasta_and_indexed_dataset
description_zh: "Evo2 mini 数据根目录,包含 genome_data 下的 chr20/chr21/chr22 FASTA、压缩 FASTA、合并 FASTA 和预处理 bin/idx split。"
required: true
required_for:
- preflight
- train
- predict
source:
platform: modelscope
repo_id: "OneScience/evo2_dataset"
repo_type: dataset
path: data_mini/
revision: main
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: data_mini/
checksum_manifest:
sha256: metadata/data_mini.sha256
sizes: metadata/data_mini.files.tsv
- id: genome_fasta
path: data_mini/genome_data/
role: raw_fasta
format: fasta
description_zh: "chr20.fa、chr21.fa、chr22.fa 和 chr20_21_22.fa 原始序列文件。"
required: true
required_for:
- preflight
- preprocess
- predict
source:
platform: modelscope
repo_id: "OneScience/evo2_dataset"
repo_type: dataset
path: data_mini/genome_data/
revision: main
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: data_mini/genome_data/
- id: indexed_splits
path: data_mini/genome_data/preprocessed_data/
role: indexed_dataset
format: bin_idx
description_zh: "训练、验证、测试 split 的 chr20_21_22_uint8_distinct_byte-level_*.bin 和 *.idx。"
required: true
required_for:
- preflight
- train
source:
platform: modelscope
repo_id: "OneScience/evo2_dataset"
repo_type: dataset
path: data_mini/genome_data/preprocessed_data/
revision: main
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: data_mini/genome_data/preprocessed_data/
config_files: []
sample_files: []
dataset:
format:
- fasta
- fasta_gzip
- bin_idx
sample_unit: "DNA 序列片段或 Byte-Level indexed dataset 样本。"
schema:
path: metadata/data_mini.files.tsv
fields:
- relative_path
- size_bytes
- sha256
splits:
train: data_mini/genome_data/preprocessed_data/chr20_21_22_uint8_distinct_byte-level_train
validation: data_mini/genome_data/preprocessed_data/chr20_21_22_uint8_distinct_byte-level_val
test: data_mini/genome_data/preprocessed_data/chr20_21_22_uint8_distinct_byte-level_test
relations:
required_datasets: []
optional_datasets: []
compatible_models:
- id: "OneScience/evo2/"
role: train_data
required_for:
- preflight
- train
- predict
resource_ref:
platform: modelscope
repo_id: "OneScience/evo2/"
repo_type: model
url: "https://modelscope.cn/models/OneScience/evo2/"
revision: main
readme_path: README.md
manifest_path: manifest.yaml
expected_local_path: data/evo2_dataset/data_mini/genome_data/
adapter: "模型包 config/genome_data_config.yaml 和 config/opengenome2.yml"
run_matrix:
scenarios:
- name: minimal_validation
default: true
capability: preflight
description_zh: "校验数据集目录结构、FASTA 可读性、bin/idx split、文件大小和 SHA256。"
required_dataset_files:
- data_mini
- genome_fasta
- indexed_splits
required_model_files: []
required_datasets: []
preconditions:
- "已下载数据集仓库 OneScience/evo2_dataset。"
- "cwd 位于数据集包根目录。"
command_refs:
- commands.preflight.validate_dataset
outputs:
- "终端输出 [OK] Evo2 mini dataset..."
- name: model_train_input
capability: train
description_zh: "作为 OneScience/evo2/ 训练或微调输入数据。"
required_dataset_files:
- indexed_splits
required_model_files: []
required_datasets: []
preconditions:
- "将 data_mini 复制或链接到模型包 data/evo2_dataset/data_mini。"
command_refs:
- commands.prepare.place_for_model
outputs:
- "<MODEL_REPO_ROOT>/data/evo2_dataset/data_mini"
capabilities:
inference: false
train: true
finetune: true
evaluate: false
visualize: false
deploy: false
preflight: true
data_reading: true
commands:
download:
- name: download_dataset
cwd: .
command: "modelscope download --dataset OneScience/evo2_dataset"
description_zh: "下载数据集标准包。若使用 --cache_dir,下载完成后必须 cd 到包含 README.md 和 manifest.yaml 的数据集包根目录。"
- name: download_model
cwd: .
command: "modelscope download --model OneScience/evo2/"
description_zh: "下载兼容模型 OneScience/evo2/。"
prepare:
- name: place_for_model
cwd: .
command: "mkdir -p <MODEL_REPO_ROOT>/data/evo2_dataset && cp -a data_mini <MODEL_REPO_ROOT>/data/evo2_dataset/data_mini"
description_zh: "把数据集放到模型包默认数据路径。"
preflight:
- name: validate_dataset
cwd: .
command: "python scripts/validate_evo2_dataset.py --package-root . --dataset-root data_mini"
description_zh: "检查数据结构、FASTA 可读性、预处理 split、大小和 SHA256。"
inference: []
train: []
finetune: []
evaluate: []
visualize: []
deploy: []
expected_outputs:
- id: dataset_validation_ok
path: stdout
description_zh: "数据集验证成功时输出 [OK] Evo2 mini dataset..."
produced_by: commands.preflight.validate_dataset
- id: placed_dataset
path: "<MODEL_REPO_ROOT>/data/evo2_dataset/data_mini"
description_zh: "供 OneScience/evo2/ 默认预检和训练命令读取的数据目录。"
produced_by: commands.prepare.place_for_model
diagnostics:
- id: missing_fasta
symptom: "missing FASTA file"
likely_cause_zh: "data_mini 未完整下载或目录位置不对。"
fix_zh: "重新运行 modelscope download --dataset OneScience/evo2_dataset,或用 --dataset-root 指向实际 data_mini。"
- id: missing_bin_idx
symptom: "missing preprocessed bin or idx"
likely_cause_zh: "预处理 split 文件缺失。"
fix_zh: "重新下载数据集,确认 data_mini/genome_data/preprocessed_data 下有 train/val/test 的 .bin 和 .idx。"
- id: sha256_mismatch
symptom: "sha256 mismatch"
likely_cause_zh: "上传、下载或复制过程中数据损坏。"
fix_zh: "删除损坏文件后重新下载 OneScience/evo2_dataset。"
- id: model_path_mismatch
symptom: "model preflight cannot find data/evo2_dataset/data_mini"
likely_cause_zh: "数据集没有放到模型包预期路径。"
fix_zh: "在模型包根目录执行 mkdir -p data/evo2_dataset && cp -a <DATASET_REPO_ROOT>/data_mini data/evo2_dataset/data_mini。"
domain_extension:
bio:
organism_scope_zh: "人类 chr20、chr21、chr22 mini 基因组数据。"
sequence_alphabet: "DNA / Byte-Level tokenizer"
raw_files:
- data_mini/genome_data/chr20.fa
- data_mini/genome_data/chr21.fa
- data_mini/genome_data/chr22.fa
- data_mini/genome_data/chr20_21_22.fa
indexed_dataset_dtype: uint8
preprocessing_config_in_model: "OneScience/evo2/ config/genome_preprocess_config.yaml"