rhai
Datasets
All datasets matching “rhai”tahoe-de-rhaister
Tahoe-100M Drug Screen Differential Expression Summary Statistics
Differential-expression summary statistics for the Tahoe-100M drug screen including
50 cancer cell lines × 384 drugs × 3 doses, one of the training datasets for
Rhaister. These are the statistics computed from the ~100M raw single cells of
tahoebio/Tahoe-100M, including per-gene
fold changes, significance, and pseudobulk deltas per (cell line, treatment).
The repo includes two tables (pdex and cell_eval) plus the… See the full description on the dataset page: https://huggingface.co/datasets/tahoebio/tahoe-de-rhaister.replogle-nadig-de-rhaister
Replogle-Nadig CRISPR Screen Differential Expression Summary Statistics
Differential-expression summary statistics for the Replogle-Nadig genome-scale CRISPR
screen, which includes 4 cell lines and ~2,000 gene knockdowns. Used to train Rhaister, the data are per-gene fold changes, significance, and pseudobulk deltas
summarized from raw single cells. The four cell lines are
hepg2, jurkat, k562, and rpe1 and the perturbation is a CRISPR knockdown of a target
gene.
The repository… See the full description on the dataset page: https://huggingface.co/datasets/tahoebio/replogle-nadig-de-rhaister.parse-de-rhaister
Parse PBMC Cytokine Screen Differential Expression Summary Statistics
Differential-expression summary statistics for the Parse PBMC cytokine screen including
12 donors × 18 immune cell types × 90 cytokines. This data was used to train Rhaister.
These are the statistics computed from the raw single cells of the Arc
Institute ST-HVG-Parse dataset, including
per-gene fold changes, significance, and pseudobulk deltas.
The cell context is a (donor, cell type) combination and the… See the full description on the dataset page: https://huggingface.co/datasets/tahoebio/parse-de-rhaister.Blind-Spots-of-Frontier-Models_Multihop-blindspots-qwen35
Qwen3.5-2B-Base — Multi-Hop Reasoning Blind Spots
An evaluation dataset probing 18 Knowledge Graph-style reasoning tasks on
Qwen/Qwen3.5-2B-Base, tested in its
raw base (pre-training) form with no external graph attached. The dataset covers
parametric memory (probes 1–10, no passage provided), standard grounded reasoning
(probes 11–15, source passage included), and advanced grounded reasoning
(probes 16–18, passage provided but requiring implicit inference or contradiction… See the full description on the dataset page: https://huggingface.co/datasets/chayma-rhaiem/Blind-Spots-of-Frontier-Models_Multihop-blindspots-qwen35.RH-AITest
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Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/LukeWais/RH-AITest.