datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
deepswe-verifier-merged-with-regression-with-filenamesdeepswe-verifier-merged-with-regressionTabular_Imbalanced_Regression
Tabular Imbalanced Regression Datasets
Repository Summary
This repository provides a collection of 81 tabular datasets curated for research on tabular imbalanced regression problems.
They were obtained from the various studies carried out on the subject (source and papers listed below).Its objective is to centralize datasets commonly used in the literature, serving as a solid reference point for future work.
Additional datasets can be contributed or requested — feel free… See the full description on the dataset page: https://huggingface.co/datasets/samgohan/Tabular_Imbalanced_Regression.deepswe-verifier-merged-with-regression-with-filenames-cleandeepswe-verifier-merged-with-regression-with-filenames-and-rewards-v2fairleap-driver-earnings-regression-500
Fairleap Driver Earnings Regression 500
📘 Dataset Overview
A small synthetic tabular dataset of ride-hailing driver work sessions, built for
the Fairleap AI project — a platform addressing income
uncertainty and wellbeing for Gojek/GOTO drivers in Indonesia. Each row is one work
session: when it happened, where, how long it ran, how many rides were completed, and
what it paid.
The dataset backs two regression targets: earnings (Indonesian Rupiah per session)
and… See the full description on the dataset page: https://huggingface.co/datasets/fairleap-ai/fairleap-driver-earnings-regression-500.Regressiondeepswe-verifier-merged-with-regression-with-filenames-and-rewardsscm-regression-mini-trialdeepswe-swebv-eval-n16-verifier-v1-with-regression32b_swebv_temp09_final_verif_p2p_regressionmalinois-mpra-regression
Malinois/Gosai MPRA Regression
This dataset preprocesses the Gosai et al. 2024 supplementary MPRA table used by the
Malinois benchmark for supervised DNA-to-activity regression. Each row contains a DNA
sequence and three cell-type-specific activity targets: K562_log2FC,
HepG2_log2FC, and SKNSH_log2FC.
No new license is asserted by this preprocessing. Users should follow the terms of
the source publication and supplementary data.
Source
Publication: Gosai et al.… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceBio/malinois-mpra-regression.sdss_dr12_stars_regression
SDSS DR12 Stellar Spectra Parquet Benchmark
This dataset provides a fixed supervised benchmark split for stellar atmospheric parameter estimation from SDSS DR12 optical spectra.
It contains three Parquet files:
train.parquet
validation.parquet
test.parquet
The split sizes are:
Split
Number of spectra
Train
29,422
Validation
4,846
Test
14,443
Each row corresponds to one SDSS stellar spectrum and includes raw spectral arrays, processed spectral features… See the full description on the dataset page: https://huggingface.co/datasets/BrunoBarreto/sdss_dr12_stars_regression.database-small-tabular-regressionmalinois-mpra-regression
Malinois/Gosai MPRA Regression
This dataset preprocesses the Gosai et al. 2024 supplementary MPRA table used by the
Malinois benchmark for supervised DNA-to-activity regression. Each row contains a DNA
sequence and three cell-type-specific activity targets: K562_log2FC,
HepG2_log2FC, and SKNSH_log2FC.
No new license is asserted by this preprocessing. Users should follow the terms of
the source publication and supplementary data.
Source
Publication: Gosai et al.… See the full description on the dataset page: https://huggingface.co/datasets/edbeeching/malinois-mpra-regression.database-small-tabular-regression2msr-acc-tae25-regression
MSR-ACC TAE25 Regression Dataset
This dataset is a processed version of the Microsoft Research Accurate Chemistry Collection (MSR-ACC) TAE25 dataset, containing thermochemical data for molecules with computed Total Atomization Energies (TAE) using various quantum chemical methods.
Dataset Description
The original MSR-ACC TAE25 dataset contains QCSchema JSON files with 3D molecular geometries and computed thermochemical properties.
This processed version provides:… See the full description on the dataset page: https://huggingface.co/datasets/Derify/msr-acc-tae25-regression.database-small-tabular-regression432b_swebv_temp09_ensemb_final_verif_p2p_regression32b_swebv_temp00_final_verif_p2p_regressionHouse-Prices-Advanced-Regression-Techniques-result-0.1238732b_swebv_temp08_final_verif_p2p_regressionHouse_Prices_Advanced_Regression_Techniquesgrant-scoring-release-gate-regression-fixtures
Grant-Scoring Release Gate Regression Fixtures
Test a grant-scoring configuration-change release gate without real applications. This CC BY 4.0 package contains 27 fully fictional regression fixtures: three local-policy scenarios for each of nine evaluation-fingerprint fields.
The changed fields are rubric version, policy context, resolved configuration, prompt bundle, tool schema, few-shot set, model identity, evidence cutoff and pipeline commit. Every row keeps the baseline… See the full description on the dataset page: https://huggingface.co/datasets/mheilimo/grant-scoring-release-gate-regression-fixtures.headlines-ctr-regressionDemo of regression for Baskerville
From upworthy: https://upworthy.natematias.com/about-the-archive.html
Which was later used in SAE's for hypothesis generation
Transformed to just be pairs of [headline, raw_ctr]
all_samples_Regressionstudent-grades-regression
Student Grades Regression Dataset
This dataset contains student grades data for regression tasks. It is designed for demonstrating regression techniques and data quality methods.
Dataset Description
The dataset includes:
train.csv - Training data with student features and grade labels
test.csv - Test data for evaluation
This is a regression version of the student grades dataset, where the target variable is continuous.
Usage
import pandas as pd
# Load the… See the full description on the dataset page: https://huggingface.co/datasets/Cleanlab/student-grades-regression.regression_dataset_tmdbadvertising_sales_regressionGraphArch-Regression
GraphArch-Regression
A unified regression dataset collated from multiple graph/architecture search sources (FBNet, Hiaml, Inception, NB101, NB201, NDS, OfaMB, OfaPN, OfaRN, SNAS, Twopath) for training and evaluating models that map ONNX-readable graph strings to a target metric.
Schema
identifier (string): Source key for the example, e.g. FBNet_0, SNAS_42.
space (string): Logical dataset source (FBNet, Hiaml, Inception, NB101, NB201, NDS, OfaMB, OfaPN, OfaRN, SNAS… See the full description on the dataset page: https://huggingface.co/datasets/akhauriyash/GraphArch-Regression.