scores
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All datasets matching “scores”gpn-star-scores
GPN-Star genome-wide scores
Genome-wide, mutation-rate-calibrated GPN-Star constraint and variant scores for
eight score sets covering human, mouse, chicken, D. melanogaster,
C. elegans, and A. thaliana. Canonical scores are available as
chromosome-sharded Parquet. Hugging Face hosts 72 BigWigs; a multi-assembly
UCSC track hub references the 64 logo/LLR views.
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Default Dataset… See the full description on the dataset page: https://huggingface.co/datasets/songlab/gpn-star-scores.unit4-students-scoreshplt2_edu_scores
HPLT2-Edu-scores
Dataset summary
HPLT2-JQL-Education is a model-annotated language subset of HPLT2, spanning 35 languages.
Our model-annotations allow for a filtering that achieves higher-quality training outcomes without excessively aggressive data reduction.
The original FW2 heuristic filtering method serves as our baseline, providing reference points for both the volume of retained tokens and downstream model performance.
For example, in the Spanish language case… See the full description on the dataset page: https://huggingface.co/datasets/JQL-AI/hplt2_edu_scores.fw2_edu_scores
Fineweb2-Edu-scores
Dataset summary
FineWeb2-JQL-Education is a model-annotated language subset of FineWeb2, spanning 36 languages.
Our model-annotations allow for a filtering that achieves higher-quality training outcomes without excessively aggressive data reduction.
The original FW2 heuristic filtering method serves as our baseline, providing reference points for both the volume of retained tokens and downstream model performance.
For example, in the Spanish language… See the full description on the dataset page: https://huggingface.co/datasets/JQL-AI/fw2_edu_scores.matrix-scores
Dataset Description
This dataset contains the output of the MATRIX pipeline — Every Cure's computational drug repurposing scoring system. It provides ML-generated treatment probability scores for ~39.5 million drug-disease pairs, covering ~1,800 drugs × ~22,000 diseases.
⚠️ Research use only. These scores are the output of a computational research pipeline and do not constitute medical advice, clinical recommendations, or endorsement of any drug for any use. All findings… See the full description on the dataset page: https://huggingface.co/datasets/everycure/matrix-scores.encoder-decoder-floresp-scores