datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
regression-dataset-for-docling-parse
Regression Dataset for docling-parse
This repository contains the reference dataset used as a regression test corpus for
docling-parse.
Its purpose is to make parser and renderer changes safe: when behavior changes in
docling-parse, the test
suite can compare the current output against the expected artifacts stored in this
dataset.
Correct workflow to add new files
cp /path/to/new.pdf regression/new.pdf
git add regression/new.pdf
git lfs status
git commit -s -m… See the full description on the dataset page: https://huggingface.co/datasets/docling-project/regression-dataset-for-docling-parse.PhilEOBench-building_density_regression
Simulated PhiSat Bench Dataset - Buildings
This repository contains a simulated dataset derived from Sentinel-2 data for building analysis.
Specifically, the dataset simulates outputs from the PhiSat2 satellite.
Label Description
Each sample in the dataset includes a single-channel label.
The labels are stored as floating-point values that represent the estimated percentage of building coverage within each pixel.
For a pixel with a 10-meter resolution (representing… See the full description on the dataset page: https://huggingface.co/datasets/sirbastiano94/PhilEOBench-building_density_regression.Sombench-Ice-Prospectivity-Regression
SomBench Benchmark: Polar Ice Prospectivity Regression
Science theme: Polar volatiles
Task: Regression
Dataset Summary
A polar, multi-layer benchmark for predicting near-surface water-ice
prospectivity within ~10° latitude of each pole at 240 m/pixel. Following
the ice-prospectivity workflow of Coyan et al. (2025), the dataset includes a
group of physically motivated evidential layers (thermophysical,
illumination, and terrain) alongside a continuous prospectivity… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-Ice-Prospectivity-Regression.transformers-regressionspointmap_regression_evalsetsT4-regressionT4 Dataset tuned for training Nitro Model for regressioncrispasr-regression-fixturescrispembed-regression-fixturesskripsi-regression-monthdeepswe-verifier-merged-with-regression-with-filenames-and-rewards-v2deepswe-verifier-merged-with-regression-with-filenamesWorld-Embedding-Regression
World Embedding Regression
World Embedding Regression is the physical-property regression dataset from the
World Embedding Benchmark. It contains
5,000 simulation videos across 10 physics families, with 500 examples in each
dataset configuration.
Usage
from datasets import load_dataset
dataset = load_dataset(
"World-Representation-Lab/World-Embedding-Regression",
"pendulum",
split="test",
)
Fields
family: physics family.
id: unique… See the full description on the dataset page: https://huggingface.co/datasets/World-Representation-Lab/World-Embedding-Regression.house-prices-advanced-regression-techniquesTDC_b3db_regressionCode-Regression
Code-Regression
Paper | GitHub Repository | Project Page
A unified regression dataset collated from three sources (APPS, KBSS, CDSS) along with our own custom profiling for training and evaluating regression models that map code strings to a target metric. This dataset supports "code-to-metric regression," which involves predicting numeric outcomes of code executions using Regression Language Models (RLM), as described in the linked paper.
Link for Graph-Regression dataset:… See the full description on the dataset page: https://huggingface.co/datasets/akhauriyash/Code-Regression.authz-regression-trajectories
Authz Regression Trajectories
Rights & intended use: legacy public research corpus / portfolio
artifact. Hosted frontier-model outputs are research-only inputs under
project policy (synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json.
Release status: The raw, uncurated payload is now published under
data/raw/. It is available for inspection and… See the full description on the dataset page: https://huggingface.co/datasets/rmems/authz-regression-trajectories.deepswe-verifier-merged-with-regressiondeepswe-verifier-merged-with-regression-with-filenames-cleanblackbox-regression-repro
Reproduction: Black-Box Assisted Regression (ICML 2026, N9nlCRUiir)
Independent reproduction of "Black-Box Assisted Regression: Phase Transitions and
Minimax Optimality" by Yan Zhou (ICML 2026, arXiv:2606.25743, OpenReview N9nlCRUiir).
No official code was released; this is an independent implementation of Algorithm 1
(Safe Residual Estimator) and all six claim experiments, following the paper's
Appendix F implementation details.
Layout
scripts/core.py — DGP +… See the full description on the dataset page: https://huggingface.co/datasets/FrancescoBellingeri/blackbox-regression-repro.RedPajama-Data-V2-sample-100B-filtered-for-regression-domains-with-domainsTabular_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.regression-skripsiibl-regression-ver2-allrepro-accelerating-regression-tasks-with-quantum-algorithms-traces
Agent traces
Agent sessions published from a Trackio Logbook.
PhilEOBench-building_density_regression
Simulated PhiSat Bench Dataset - Buildings
This repository contains a simulated dataset derived from Sentinel-2 data for building analysis.
Specifically, the dataset simulates outputs from the PhiSat2 satellite.
Label Description
Each sample in the dataset includes a single-channel label.
The labels are stored as floating-point values that represent the estimated percentage of building coverage within each pixel.
For a pixel with a 10-meter resolution… See the full description on the dataset page: https://huggingface.co/datasets/ESA-PhiLab-Edge/PhilEOBench-building_density_regression.deepswe-swebv-eval-n16-verifier-v1-with-regressionregression_probe_dataset
Regression Probe Dataset
This dataset contains multiple subsets for regression probing.
Contents
gpt_neo_125m_unaligned_activations_and_features.hf_dataset.parquet: 30000 samples
Features: concatenated_reprs, label
gemma_2b_it_hh_rlhf_activations_and_features.hf_dataset.parquet: 30000 samples
Features: concatenated_reprs, label
gpt_neo_125m_hh_rlhf_activations_and_features.hf_dataset.parquet: 30000 samples
Features: concatenated_reprs, label… See the full description on the dataset page: https://huggingface.co/datasets/lukemarks/regression_probe_dataset.malinois-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.GraphArch-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.Regression