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SEPIQ 2026 Training Data

Listed in Hugging Face Datasets

SEPIQ 2026 Training Data Sequence-Based Epitope Prediction Intelligent Query Gated training data repository for the SEPIQ 2026 Challenge.

Description

Overview SEPIQ 2026 is a community challenge for benchmarking computational methods that predict antibody–antigen interaction sites from VHH nanobody sequence data. This repository will provide access to the training data approved for release to accepted SEPIQ Challenge participants.

Access is gated so that the organizing… See the full description on the dataset page: huggingface.co/datasets/sepiq-2026/SEPIQ-2026-training-data.

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Topics

Inferred from text
Biochemistry and cell biology 74%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetssepiq-2026/SEPIQ-2026-training-data14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:3101enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (74%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[field].local:field:life-sciencesmapping · Hugging Facevocabulary-mapper@1.0.0keywords['biology']
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0