datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
REmatch-Investment-Matching-Dataset
REmatch Investment Matching Dataset
Many people want to invest in real estate but do not know how to analyze markets, compare property data, or identify which type of property fits the way they want to invest.
Different investors have different budgets, risk preferences, liquidity needs, financing preferences, and investment goals. Therefore, the same property may be suitable for one investor and unsuitable for another.
REmatch addresses this problem by using a short… See the full description on the dataset page: https://huggingface.co/datasets/omershahar/REmatch-Investment-Matching-Dataset.theorem-matching
TheoremGraph Matching
Formal–informal theorem matches from the TheoremGraph paper. Each row pairs a
Lean declaration with the most similar natural-language statement from arXiv,
found by cosine similarity over slogan embeddings, and labeled by an LLM judge
as exact, inexact, or wrong (the first two count as a match).
The file contains every candidate pair at cosine similarity 0.80 and above:
100,831 pairs. Our primary judge, GPT-5.4, labels 47,952 of them as matches; a
second… See the full description on the dataset page: https://huggingface.co/datasets/uw-math-ai/theorem-matching.ecommerce-retail-product-matching-workflow-dataset
Ecommerce Retail Product Matching Workflow Dataset
This dataset is a public-facing sanitized workflow preview for managed ecommerce and retail product matching. It shows how candidate retrieval, UPC/model/brand/title/image evidence, customer-visible URL validation, confidence bands, review buckets, and rejection reasons can be structured for pricing intelligence, merchandising, data engineering, and AI-assisted product matching workflows.
Use this dataset to evaluate product… See the full description on the dataset page: https://huggingface.co/datasets/Octoparse/ecommerce-retail-product-matching-workflow-dataset.ecommerce-visual-matching-dataset
E-commerce Visual Matching Dataset
Candidate match workflow dataset for product identity resolution, visual similarity, and review decision fields.
A public-safe workflow preview of how Octoparse structures AI-assisted product matching pipelines for e-commerce and pricing teams. Every row represents a candidate pair evaluation — the same structure delivered to production clients.
Built by Octoparse Managed Data Service — managed web data pipelines for pricing intelligence and… See the full description on the dataset page: https://huggingface.co/datasets/Octoparse/ecommerce-visual-matching-dataset.celeb-face-matching-dataproduct-matching
Dataset Description
This repository offers an ideal ground for evaluating product matching algorithms and clustering/classification models.
The dataset contains e-commerce data; that is, product IDs, their titles, and their corresponding category. However, they can easily be applied to
any problem which involves text/short-text mining.
The data originates from PriceRunner, a popular product comparison platform. It includes 35,311 products from 10 categories,
provided by 306… See the full description on the dataset page: https://huggingface.co/datasets/lakritidis/product-matching.propensity-score-matching-articles
A Dataset on Propensity Score Matching Papers, 1964-2014
Overview
This dataset provides bibliographic and methodological information on a random sample of academic articles involving propensity score matching (PSM). Each row corresponds to a single article and contains information such as the article’s DOI, title, authors, publication year, and a series of binary or categorical indicators describing the methods used or reported within the study. These indicators focus… See the full description on the dataset page: https://huggingface.co/datasets/cjerzak/propensity-score-matching-articles.sri_Lankan_classified_ads_dataset_for_ad_matching_and_retrieval
Dataset Description
This dataset was developed to support research in ad matching, semantic retrieval, and intent alignment across offering and wanted ads in Sri Lankan classified marketplaces. It consists of 54,489 ad pairs.
It includes both human-verified real samples and LLM-generated synthetic samples.
Use Case Highlights
Designed for training and evaluating ML models requiring generalization across low-resource subcategories
Especially valuable where wanted ads are… See the full description on the dataset page: https://huggingface.co/datasets/Damika-7/sri_Lankan_classified_ads_dataset_for_ad_matching_and_retrieval.Question-Matching
Dataset Details
This dataset addresses the following question: "Would the information provided in response to Question B give enough information to sufficiently answer Question A". Thus, this is a directional dataset and match annotations may not hold in reverse.
We presented this question to a doctor who determined if the answer to Question B would be sufficient to answer Question A.
In other words, our annotator would imagine they wrote Question A and determine if they would… See the full description on the dataset page: https://huggingface.co/datasets/PortalPal-AI/Question-Matching.multilingual-text-matchingclinical-resilience-first-indication-patient-matching-v0.1Resilience-Enhancing Pharmacopeia
Index README
Core premise
Some drugs work across diseases
because they increase system capacity, not because they hit a target.
This collection defines, measures, and deploys that class of drugs.
Not pathology-first.
Resilience-first.
What this pharmacopeia tests
Does a drug broaden the healthy basin
Which fragility axes it buffers
Who should receive it based on systemic vulnerability
These datasets do not ask
“Does this drug treat condition X”
They ask
“Does… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-resilience-first-indication-patient-matching-v0.1.arxiv-preprint-matching-matched-work-has-funding
Overview
This dataset contains the matching results from https://huggingface.co/datasets/cometadata/arxiv_preprint_matching_results, filtered to those entries where the matched work has a funding (grant) entry in OpenAlex as of 2025/08/01.
Data Structure
Each record contains the following fields:
input_doi (string): ArXiv preprint DOI (format: 10.48550/arxiv.XXXX.XXXXX)
matched_doi (string): Published article DOI
confidence (float): Matching confidence score (0-1)… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/arxiv-preprint-matching-matched-work-has-funding.wiki_book_movie_ids_matchingclinical-mechanism-basin-coherence-matching-v0.1What this dataset tests
Whether a system can match a drug mechanism to a patient basin.
A trial fails when:
the mechanism is coherent for one basin
and incoherent for others.
Required outputs
mechanism_basin_match_score
responsive_basin_label
predicted_response_vector
coherence_delta
off_target_basin_risk
rationale_channels
Use case
Trial enrichment.
Basin selective recruitment.
Rescue analysis for failed Phase II.
property_based_matching
Property Based Matching Dataset
This dataset is part of the Deep Principle Bench collection.
Files
property_based_matching.csv: Main dataset file
Usage
import pandas as pd
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("yhqu/property_based_matching")
# Or load directly as pandas DataFrame
df = pd.read_csv("hf://datasets/yhqu/property_based_matching/property_based_matching.csv")
Citation
Please cite this work if… See the full description on the dataset page: https://huggingface.co/datasets/yhqu/property_based_matching.