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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01AtmosIQ /Atmos_MODIS_AODtabular10B<n<100B0 likes2k downloads2mo agoHugging Face02Sabokou /qg_squad_modifiedtext10K<n<100K0 likes139 downloads5y agoHugging Face03Sabokou /qg_squad_modified_devtextn<1K1 likes126 downloads5y agoHugging Face04TachyHealth /International_Classification_Diseases_Clinical_Modification_icd10cm_order_April_2024tabular10K<n<100K6 likes112 downloads3y agoHugging Face05zhangtaolab /plant-multi-species-histone-modificationsThis is the fine-tune dataset for predicting three types of histone modification (H3K27ac, H3K27me3 and H3K4me3) in plants. texttext-classification100K<n<1M0 likes66 downloads2y agoHugging Face06cl-agi /sudoku-modifiedtext1M<n<10M1 likes51 downloads1y agoHugging Face07zhangtaolab /fungi-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.texttext-classification100K<n<1M0 likes43 downloads7d agoHugging Face08aummthaker /ROC-Stories-modifiedtext10K<n<100K1 likes31 downloads2y agoHugging Face09li-long /modified_erotic_literature_collectiontext10K<n<100K5 likes27 downloads2y agoHugging Face10MichaelWittweiler /latin-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.textn<1K0 likes22 downloads8mo agoHugging Face11thejana /Elective_modified_2tabular1K<n<10K0 likes21 downloads2y agoHugging Face12TPekarekRosin /modicol 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.audioautomatic-speech-recognition10K<n<100K1 likes16 downloads3mo agoHugging Face13Zynab /sts-arabic-translated-modifiedtabular1K<n<10K0 likes15 downloads3y agoHugging Face14ClarusC64 /ABX-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.tabulartabular-classificationn<1K0 likes12 downloads8mo agoHugging Face15NicholasSynovic /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.texttext-classification10K<n<100K0 likes11 downloads3y agoHugging Face16romikgosai /squad_modifiedtext10K<n<100K0 likes11 downloads2y agoHugging Face17romikgosai /squad_modified_2textquestion-answering10K<n<100K0 likes10 downloads2y agoHugging Face18saracandu /msmarco_modifiedtabular10K<n<100K0 likes9 downloads2y agoHugging Face19ShreeyaVenneti /acoustic_text_dataset_modifiedtextn<1K0 likes7 downloads3y agoHugging Face20AnonymousOrca /parser_modifiedtextn<1K0 likes7 downloads2y agoHugging Face21manupande21 /nfcorpus_modifiedtext100K<n<1M0 likes7 downloads1y agoHugging Face22HHS-Official /value-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.tabular100K<n<1M0 likes7 downloads1y agoHugging Face23ClarusC64 /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.tabulartabular-classificationn<1K0 likes7 downloads8mo agoHugging Face24ClarusC64 /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. texttext-classificationn<1K0 likes7 downloads7mo agoHugging Face252003vishnu2003 /llm_train_modifytabular10K<n<100K0 likes6 downloads3y agoHugging Face26ShreeyaVenneti /visual_modifiedacoustic_datasettextn<1K1 likes6 downloads3y agoHugging Face27mrbmaryam /mistral_modified_train_2730text1K<n<10K0 likes6 downloads3y agoHugging Face28aummthaker /roc-llama-modifiedtext10K<n<100K0 likes6 downloads2y agoHugging Face29herronej /SciTrust2-Ethics-Genetic-Modificationtextn<1K0 likes5 downloads1y agoHugging Face30lvulpecula /ai_modified_fake_newstext1K<n<10K0 likes5 downloads1y agoHugging Face

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