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Rare Disease, Real Kid: MVA Hackathon 2026 - Dataset
- Challenge Space: SageBio/rare-disease-real-kid-mva-hackathon-2026
- Submission Period: 24 August 2026 – 24 October 2026
- Dataset Size: ~85 GB
Quickstart
from huggingface_hub import hf_hub_download
# Download a specific file into a local './data' folder
file_path = hf_hub_download(
repo_id="SageBio/mva-hackathon-2026-data",
filename="WGS_EX2312012_HGWCNDSX7.vcf.gz", # Replace with target file
repo_type="dataset",
local_dir="./data",
token="YOUR_HF_TOKEN"
)
print(f"File downloaded to: {file_path}")
# Download a specific file into a local './data' folder
hf download SageBio/mva-hackathon-2026-data \
WGS_EX2312012_HGWCNDSX7.vcf.gz \
--repo-type dataset \
--local-dir ./data \
--token YOUR_HF_TOKEN
Note: YOUR_HF_TOKEN can be omitted from either approach if you've previously logged in (either via
hf auth login or by setting the HF_TOKEN environment variable).
Full Data Download
The compressed dataset is ~85 GB across 11 files. We strongly recommend having at least 100 - 150 GB of storage to account for file caching, indexing, and pipeline intermediate files.
from huggingface_hub import snapshot_download
# Download challenge files into a local './data' folder
dataset_dir = snapshot_download(
repo_id="SageBio/mva-hackathon-2026-data",
repo_type="dataset",
local_dir="./data",
ignore_patterns=["README.md", ".gitattributes"],
token="YOUR_HF_TOKEN"
)
print(f"Dataset downloaded to: {dataset_dir}")
# Download challenge files into a local './data' folder
hf download \
SageBio/mva-hackathon-2026-data \
--repo-type dataset \
--local-dir ./data \
--exclude "README.md" ".gitattributes" \
--token YOUR_HF_TOKEN
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