datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Atmos_MODIS_AODqg_squad_modifiedmodis-lake-powell-toy-dataset
MODIS Water Lake Powell Toy Dataset
Dataset Summary
Tabular dataset comprised of MODIS surface reflectance bands along with calculated indices and a label (water/not-water)
Dataset Structure
Data Fields
water: Label, water or not-water (binary)
sur_refl_b01_1: MODIS surface reflection band 1 (-100, 16000)
sur_refl_b02_1: MODIS surface reflection band 2 (-100, 16000)
sur_refl_b03_1: MODIS surface reflection band 3 (-100, 16000)
sur_refl_b04_1: MODIS… See the full description on the dataset page: https://huggingface.co/datasets/nasa-cisto-data-science-group/modis-lake-powell-toy-dataset.qg_squad_modified_devInternational_Classification_Diseases_Clinical_Modification_icd10cm_order_April_2024plant-multi-species-histone-modificationsThis is the fine-tune dataset for predicting three types of histone modification (H3K27ac, H3K27me3 and H3K4me3) in plants.
sudoku-modifiedfungi-histone-modifications
fungi-histone-modifications
12 fungal histone-mark binary classification tasks — each subset is a ready-to-use train/dev/test.csv (columns: sequence,label; 500 bp windows) for fine-tuning DNA foundation models.
Subsets (12)
Subset
Source
Description
H3
GUE EMP
Histone H3 bound regions (S. cerevisiae ChIP-chip)
H3K4me1
GUE EMP
H3K4 monomethylation
H3K4me2
GUE EMP
H3K4 dimethylation
H3K4me3
GUE EMP
H3K4 trimethylation (active promoters)
H3K9ac
GUE… See the full description on the dataset page: https://huggingface.co/datasets/zhangtaolab/fungi-histone-modifications.ROC-Stories-modifiedmodified_erotic_literature_collectionlatin-intertextuality-modification-test-cases
Latin Intertextuality Test Cases (Controlled Modifications)
This repository provides a small qualitative dataset of Latin sentence pairs used to study how sentence-embedding similarity reacts to controlled modifications of a query sentence in intertextual links (literal quotation, paraphrase, allusion).
The dataset contains 11 base cases, each paired with 12 modified variants of the query sentence (plus one random-control pairing), for a total of 143 rows.
Contents… See the full description on the dataset page: https://huggingface.co/datasets/MichaelWittweiler/latin-intertextuality-modification-test-cases.Elective_modified_2modicol
MoDiCoL - A Modular Diagnostic Continual Learning Dataset for ASR
MoDiCoL is a speech dataset designed to study the robustness of ASR models to different drift factors in a controlled, continual setting. We construct MoDiCoL using a systematic factorial design that enables a rigorous evaluation of linguistic, speaker, and acoustic variation with clearly defined experimental runs. By combining real-world and synthetic speech with a configuration-dependent augmentation pipeline… See the full description on the dataset page: https://huggingface.co/datasets/TPekarekRosin/modicol.sts-arabic-translated-modifiedABX-RM-005_target_modification_penetration-v0.1ABX-RM-005 Target Modification Penetration
Purpose
Detect when target modified mutants spread through the population before the MIC crosses a resistant cutoff.
Core pattern
mutant_frac_target_mod rises
MIC stays below resistant cutoff during early rise
later MIC crosses resistant_mic_cutoff_mg_L
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a within strain series.
Required columns
row_id
series_id
timepoint_h
organism
strain_id
drug_name
target_gene… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-RM-005_target_modification_penetration-v0.1.Modified-VEAA
Modified Victorian Era Authorship Attribution Dataset
About
This data set is a modified version of the one that can be found here.
The difference being that the training dataset was split into two parts: 80% training, 20% testing with labels.
Splitting was done with a random stratified sample approach.
This is different than the source dataset which did not have any labels for the testing data.
Additionally, all text has been converted to UTF-8 format and any errors were… See the full description on the dataset page: https://huggingface.co/datasets/NicholasSynovic/Modified-VEAA.squad_modifiedsquad_modified_2msmarco_modifiedmodis-lake-powell-toy-dataset
MODIS Water Lake Powell Toy Dataset
Dataset Summary
Tabular dataset comprised of MODIS surface reflectance bands along with calculated indices and a label (water/not-water)
Dataset Structure
Data Fields
water: Label, water or not-water (binary)
sur_refl_b01_1: MODIS surface reflection band 1 (-100, 16000)
sur_refl_b02_1: MODIS surface reflection band 2 (-100, 16000)
sur_refl_b03_1: MODIS surface reflection band 3 (-100, 16000)
sur_refl_b04_1: MODIS… See the full description on the dataset page: https://huggingface.co/datasets/wateryhcho/modis-lake-powell-toy-dataset.acoustic_text_dataset_modifiedparser_modifiednfcorpus_modifiedvalue-modifier
Value Modifier
Description
The Medicare Value-Based Payment Modifier (Value Modifier) data contains the performance results of de-identified practices that were subject to the Value Modifier, such as the practices' quality and cost tiers along with any applicable Value Modifier payment adjustment. The Value Modifier provided for differential payment under the Medicare Physician Fee Schedule based on the quality of care furnished to Medicare beneficiaries compared to the… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/value-modifier.ABX-RM-012_cell_wall_modification_progression-v0.1ABX-RM-012 Cell Wall Modification Progression
Purpose
Detect accumulating cell wall modification before MIC crosses a resistant cutoff and before treatment failure.
Core pattern
stress_index high
cw_mod_index climbs and continues climbing
growth_rate_rel rebounds while MIC stays below cutoff
later MIC crosses resistant_mic_cutoff_mg_L
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a within strain series.
Required columns
row_id
series_id
timepoint_h… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-RM-012_cell_wall_modification_progression-v0.1.banking-collections-modification-coherence-risk-v0.1What this repo is for
Detect collections mistakes that create redefault.
Focus
hardship vs intervention choice
affordability check missing
cure vs redefault drift
Why it matters
Collections teams can reduce losses fast.
But only if actions match borrower reality.
llm_train_modifyvisual_modifiedacoustic_datasetmistral_modified_train_2730roc-llama-modified