datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
jinyang-omentum-rmats-outlier-fixed-biology-results-v1
jinyang-omentum-rmats-outlier-fixed-biology-results-v1
Biology of the k=2 subgroups from jinyang-omentum-rmats-outlier-fixed-clustering (cluster1 n=116 / cluster2 n=50, 166 outlier-excluded omentum samples; expression analyses on the 160-sample TPM-labeled intersection). CAVEAT (stated plainly, not buried): cluster1/cluster2 are collinear with sequencing platform to within one sample -- cluster 2 contains ZERO NovaSeq-6000 samples and cluster 1 is 113/116 NovaSeq-6000. The… See the full description on the dataset page: https://huggingface.co/datasets/depinwang/jinyang-omentum-rmats-outlier-fixed-biology-results-v1.jinyang-omentum-rmats-outlier-fixed-clustering-results-v1
jinyang-omentum-rmats-outlier-fixed-clustering-results-v1
Patient-level permutation-null control, N=50 (canary; final extends to N=200). IMPORTANT CAVEAT (see 01_pipeline.R header and EXPERIMENT_README.md): this tests circularity in the CLUSTERING+LOG-RANK steps ONLY -- the 651 candidate events are FIXED across every permutation draw (they were externally selected using the TRUE survival outcome, not re-derived by this pipeline), so this control does NOT correct for… See the full description on the dataset page: https://huggingface.co/datasets/depinwang/jinyang-omentum-rmats-outlier-fixed-clustering-results-v1.repro-mamba-icl-outliers-actual
Actual Mamba ICL Outlier Reproduction Artifacts
Measured reproduction artifacts for ICML 2026 paper C41aLahRXZ, "How Can Mamba Learn In Context with Outliers and Generalize Provably?".
The scripts implement the paper synthetic setup: Eq. (3), Definitions 1-2, hinge-loss SGD, one-layer Mamba and linear Transformer control. Outputs in actual_outputs/ are from 5 seeds, 4000 SGD iterations, batch 128, and 4000 prompts per evaluation point.
HF GPU evidence:… See the full description on the dataset page: https://huggingface.co/datasets/Srishti280992/repro-mamba-icl-outliers-actual.beans-outlier
Dataset Card for "beans-outlier"
📚 This dataset is an enhancved version of the ibean project of the AIR lab.
The workflow is described in the medium article: Changes of Embeddings during Fine-Tuning of Transformers.
Explore the Dataset
The open source data curation tool Renumics Spotlight allows you to explorer this dataset. You can find a Hugging Face Space running Spotlight with this dataset here: https://huggingface.co/spaces/renumics/beans-outlier
Or you can… See the full description on the dataset page: https://huggingface.co/datasets/renumics/beans-outlier.04_08_full_concat_dedup_dup_resolved_outlierremoved_outliers_datanbest-tat-hallu-phkubernetes-reformatted-remove-outliersgrades-tabular-demo-with-outliers
Grades Tabular Demo with Outliers Dataset
This dataset contains student grades data for tabular classification tasks, including some outliers to demonstrate data quality techniques.
Dataset Description
A tabular dataset containing student information and their grades, useful for demonstrating data quality techniques on tabular data.
Usage
import pandas as pd
# Load the dataset
df =… See the full description on the dataset page: https://huggingface.co/datasets/Cleanlab/grades-tabular-demo-with-outliers.location_with_extra_feature_outlier_12k_to_trainlocation_with_extra_feature_outlierhallu-tat-ec-promptssaomoc_remote_new_std_dedup_outlier_mixed_land_type_24_6INDIAN-CURRENCY-MERGElocation_extra_features_outlier_2tr7cleaned-news-summ-no-outlierschat-nbest-train-swbd-phds_full_no_outliers_engineered2025_std_res_outlierlocation_with_extra_feature_outlier_800k_to_predsaomoc_remote_new_std_dedup_outliersaomoc_remote_new_std_dedup_outlier_mixed_land_type20news-outlier-demotho_cu_12_17_outlier24_06_tho_cu_pred_dedup_outlier_flaggedoutliers_v1
Dataset Card for "outliers_v1"
More Information needed
12_jun_hn_outlieraug_20_hn_1m3_outlier_output