datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hnm-fashion-recommendations-data
Dataset Rekomendasi Fashion H&M
Dataset ini berisi data transaksi, atribut pelanggan, dan metadata produk yang telah dianonimkan dari H&M Group. Kumpulan data komprehensif ini memungkinkan pemodelan perilaku pembelian pelanggan secara mendalam.
Wawasan yang dihasilkan dapat dimanfaatkan untuk berbagai tujuan bisnis yang strategis, mulai dari meningkatkan personalisasi pengalaman berbelanja, mengoptimalkan manajemen inventaris untuk efisiensi produksi, hingga mendukung inisiatif… See the full description on the dataset page: https://huggingface.co/datasets/einrafh/hnm-fashion-recommendations-data.zomato-restaurant-recommendationpaper-recommendations-v2aksahaha_crop-recommendation
crop recommendation
Crop Growth Recommendations: Optimal Conditions for Higher Yields
Dataset Info
Source: Kaggle
Original Size: 0.06 MB
Kaggle Downloads: 4,065
Files: 1
Files
Crop_recommendation.csv
Mirrored from Kaggle
Crop-recommendationCrop-Recommendation-Parameters
🌱 Crop Recommendation Dataset
A machine learning dataset for crop recommendation based on soil properties and environmental conditions. The dataset contains measurements of essential soil nutrients and climatic parameters, along with the crop label that is suitable for those conditions.
This dataset can be used for machine learning classification, agricultural analytics, decision-support systems, and smart farming applications.
📌 Dataset Overview
Property… See the full description on the dataset page: https://huggingface.co/datasets/Samarth-27/Crop-Recommendation-Parameters.synthesized-cloud-optimization-recommendations
Synthesized Cloud-Optimization Recommendations
18 scenarios that pair cloud telemetry with a hand-crafted optimization
recommendation. Use them to train models or to evaluate AI agents.
Summary
Each scenario has multi-tier telemetry, a Terraform file describing the
deployed infrastructure, and a gold-standard recommendation.
The dataset is built around a simple input-output mapping. The input is
telemetry plus the infrastructure. The output is an optimization… See the full description on the dataset page: https://huggingface.co/datasets/ameau01/synthesized-cloud-optimization-recommendations.HM-Personalized-Fashion-Recommendationsfashion-recommendation-images
High-Resolution Fashion Product Images
This dataset is a highly optimized, high-resolution subset of the popular Fashion Product Images Dataset originally hosted on Kaggle.
It contains thousands of unique e-commerce fashion products, combining high-resolution product images with multiple descriptive label attributes.
All low-resolution thumbnails and anomalies have been aggressively filtered out. Every image in this dataset has a minimum resolution of 640px on its shortest… See the full description on the dataset page: https://huggingface.co/datasets/GangHitman/fashion-recommendation-images.HuggingBench-Recommendation
HuggingBench-Recommendation
This dataset contains Resource Recommendation test collection in HuggingBench for paper "Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph".
Dataset Details
general_rec contains training/validation/test set files for the General Collaborative Filtering methods in the format required by SSLRec.
social_rec contains training/validation/test set files and user social relation file for the Social… See the full description on the dataset page: https://huggingface.co/datasets/cqsss/HuggingBench-Recommendation.movie_recommendationMovie recommendation task based on the Movielens datasetproduct-recommendation-2025
TREC 2025 Product Recommendation Data
This is the data for the recommendation task for the TREC 2025 Product Search and Recommendation Task.
The initial directory contains the initial corpus and training data release.
This may be updated as we get further along in the timeline.
[!NOTE]
This data is derived from the Amazon ESCI and M2 data sets, each under the
Apache license (version 2.0).
chat_restaurant_recommendation
Restaurant chat dataset
This dataset contains approximately 600 chat interactions mimicking various user tones with different restaurant categories
The data were generated by Gemini-pro
The purpose of this dataset is to serve as a calibration dataset for a restaurant recommendation LLM chatbot
uhri-recommendations
UN Human Rights Recommendations (UHRI+)
A cleaned and normalized dataset of 267,671 country-specific human rights observations and recommendations from three UN mechanisms, covering 2006–2026.
Built on the OHCHR Universal Human Rights Index (UHRI) — the authoritative UN source — with systematic data quality improvements applied on top.
Coverage
Mechanism
Records
Bodies
Universal Periodic Review (UPR)
127,625
1
Treaty Bodies
119,532
12 (CCPR, CAT, CERD… See the full description on the dataset page: https://huggingface.co/datasets/lszoszk/uhri-recommendations.recommendations-ml-100k
MovieLens Leave-One-Out
Five chronological interactions predict the next interaction. One final test target per user; no rating filter. Histories are audit-only, not wholesale model inputs. Actors are supplementary; see actor_sources.json.
{
"schema": "movie-fields-v1",
"source": "official MovieLens 100K",
"sample_policy": "leave-one-out-windows",
"past_order": "oldest-first",
"history_length": 5,
"stride": 1,
"shuffle_seed": 42,
"timestamp_policy": "rating… See the full description on the dataset page: https://huggingface.co/datasets/Nithish2410/recommendations-ml-100k.Support-Bot-Recommendationrecommendation-engine-datasynthetic-product-recommendation-examples
Synthetic Product Recommendation Examples
An entirely synthetic bilingual dataset of ecommerce discovery queries paired with candidate products and graded relevance judgments. It is designed for educational retrieval, reranking, and recommendation experiments and contains no private catalog, merchant, customer, behavioral, or transaction data.
Dataset Description
The dataset contains twenty English and French queries with ten candidates per query. It complements… See the full description on the dataset page: https://huggingface.co/datasets/neurocheckout-ai/synthetic-product-recommendation-examples.tcfd_recommendations
Dataset Card for tcfd_recommendations
Dataset Summary
We introduce an expert-annotated dataset for classifying the TCFD recommendation categories (fsb-tcfd.org) of paragraphs in corporate disclosures.
Supported Tasks and Leaderboards
The dataset supports a multiclass classification task of paragraphs into the four TCFD recommendation categories (governance, strategy, risk management, metrics and targets) and the non-climate-related class.
Languages… See the full description on the dataset page: https://huggingface.co/datasets/climatebert/tcfd_recommendations.clinical_trial_eligibility_crietria_recommendationThis repository is a public repository of the data used in the paper "CReSE: Enhancing Clinical Trial Design via Contrastive Learning and Rephrasing-based and Clinical Relevance-preserving Sentence Embedding" (under review).
There are three main types of data stored in the repository.
Positive-negative EC-title pairs: A dataset that pairs the ECs used in a study with the study's title and other design information. It can be used to train EC recommendation models (binary classification).… See the full description on the dataset page: https://huggingface.co/datasets/kimsiun/clinical_trial_eligibility_crietria_recommendation.JobCCC-Conversational-Job-Recommendation-Bangladesh
JobCCC: A Conversational Code-Mixed Corpus for Job Recommendation in Bangladesh
Dataset Creators
Authors: Md. Arman Hossain, Mubashir Jawad, Fariha Khandakar Moon, and Sonia Binte Siraj
Supervisor: Dr. Nafis Sadeq
Institution: Department of Computer Science & Engineering, East West University
Dataset Summary
JobCCC (Conversational Code-Mixed Corpus) is a multi-turn conversational benchmark and job recommendation dataset tailored for the… See the full description on the dataset page: https://huggingface.co/datasets/Armans33115/JobCCC-Conversational-Job-Recommendation-Bangladesh.Road_construction_recommendationLLM_for_Dietary_Recommendation_System
Chat_GPT_for_Nutritional_Recommendation_System
This repository contains the code, 50 different patient profiles, and respective Chat-GPT responses with nutritional recommendations and sample diet plans. Patient profiles contain easy, medium, and complex cases and various diseases. The project aims to evaluate the application of large language models for nutritional recommendation systems.
Responses were evaluated based on personalization, consistency with evidence-based… See the full description on the dataset page: https://huggingface.co/datasets/issai/LLM_for_Dietary_Recommendation_System.esab-filler-metal-recommendations-by-astm-steel-grade
ESAB recommended filler metals and suggested preheat group, by ASTM steel grade
Canonical, always-current version: https://referencesource.org/esab-filler-metal-recommendations-by-astm-steel-grade/
Machine-readable: https://referencesource.org/esab-filler-metal-recommendations-by-astm-steel-grade/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-19
Stale after: 2028-08-18 (past this date, prefer the canonical copy —
it re-verifies on a cadence this… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/esab-filler-metal-recommendations-by-astm-steel-grade.E-Commerce-Product-Recommendationrecommendation-examplesafrica-synth-education-course-recommendations-nigeria
Nigeria Education - Course Recommendations | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: education - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Education… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-education-course-recommendations-nigeria.Rec-Gaze-Click-Cursor-Eye-Tracking-Movie-Recommendation-Dataset-for-Carousel-Interfaces
RecGaze Dataset
This is the HuggingFace RecGaze dataset from the paper: 'RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces'.
Link to open-acess paper: SIGIR 2025
Dataset Description
The RecGaze dataset is the first comprehensive feedback dataset on carousels that includes eye tracking results, clicks, cursor movements, and selection explanations. The dataset comprises of interactions from 3 movie selection tasks with 40… See the full description on the dataset page: https://huggingface.co/datasets/santideleon/Rec-Gaze-Click-Cursor-Eye-Tracking-Movie-Recommendation-Dataset-for-Carousel-Interfaces.movie-recommendation-queries-Claudemyanimelist-recommendations
myanimelist-recommendations
This is a scraped dataset taken from myanimelist.net's "Recommendations" feature. The top ~4,000 anime by popularity are included.