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Recommendation Systems datasets
archive 2025-07-2856 datasets carry the task tag "Recommendation Systems" (the task itself: Recommendation Systems), ordered by the archive's paper count. Page 1 of 2: 48 shown of 56. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52
Recommendation Systems datasets 1–48 of 56
The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies.
1,246 papers · 17 benchmarks
Netflix Prize consists of about 100,000,000 ratings for 17,770 movies given by 480,189 users.
370 papers · 1 benchmark
Gowalla is a location-based social networking website where users share their locations by checking-in.
203 papers · 4 benchmarks
The Yelp2018 dataset is adopted from the 2018 edition of the yelp challenge.
125 papers · 2 benchmarks
ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users recommend movies to each other.
105 papers · 2 benchmarks
The Yelp Dataset is a valuable resource for academic research, teaching, and learning.
86 papers · 15 benchmarks
Douban (Douban Conversation Corpus)
We release Douban Conversation Corpus, comprising a training data set, a development set and a test set for retrieval based chatbot.
81 papers · 4 benchmarks
Polyvore (Polyvore Outfits)
This dataset contains 21,889 outfits from polyvore.com, in which 17,316 are for training, 1,497 for validation and 3,076 for testing.
62 papers · 3 benchmarks
The Epinions dataset is built form a who-trust-whom online social network of a general consumer review site Epinions.com.
54 papers · 2 benchmarks
KuaiRec is a real-world dataset collected from the recommendation logs of the video-sharing mobile app Kuaishou.
51 papers · 0 benchmarks
The Foursquare dataset consists of check-in data for different cities.
49 papers · 0 benchmarks
KuaiRand is an unbiased sequential recommendation dataset collected from the recommendation logs of the video-sharing mobile app, Kuaishou (快手).
42 papers · 1 benchmark
Amazon Product Data (rithik)
This dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.
41 papers · 5 benchmarks
The Memetracker corpus contains articles from mainstream media and blogs from August 1 to October 31, 2008 with about 1 million documents per day.
39 papers · 1 benchmark
GVGAI (General Video Game AI)
The General Video Game AI (GVGAI) framework is widely used in research which features a corpus of over 100 single-player games and 60 two-player games.
36 papers · 0 benchmarks
Amazon Review is a dataset to tackle the task of identifying whether the sentiment of a product review is positive or negative.
35 papers · 1 benchmark
The Ciao dataset contains rating information of users given to items, and also contain item category information.
34 papers · 1 benchmark
The Pinterest dataset contains more than 1 million images associated to Pinterest users’ who have “pinned” them.
33 papers · 1 benchmark
A human-to-human Chinese dialog dataset (about 10k dialogs, 156k utterances), which contains multiple sequential dialogs for every pair of a recommendation seeker (user) and a recommender (bot).
28 papers · 0 benchmarks
TG-ReDial is a a topic-guided conversational recommendation dataset for research on conversational/interactive recommender systems.
27 papers · 0 benchmarks
Learning to Rank Challenge (Yahoo! Learning to Rank Challenge)
The Yahoo!
25 papers · 0 benchmarks
Amazon Beauty (Amazon Beauty 5-core)
This dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs).
18 papers · 3 benchmarks
18 papers · 3 benchmarks
MMD (Multimodal Dialogs)
The MMD (MultiModal Dialogs) dataset is a dataset for multimodal domain-aware conversations.
18 papers · 0 benchmarks
BeerAdvocate is a dataset that consists of beer reviews from beeradvocate.
15 papers · 1 benchmark
A dataset containing 404,683 shop photos collected from 25 different online retailers and 20,357 street photos, providing a total of 39,479 clothing item matches between street and shop photos.
15 papers · 1 benchmark
This datasets is a subset of the Amazon reviews dataset which contain Men related products
14 papers · 2 benchmarks
Amazon-Sports is a sub-category of the Amazon dataset, which contains a series of product reviews crawled from Amazon.com.
14 papers · 1 benchmark
MSD (Million Song Dataset)
The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks.
11 papers · 2 benchmarks
This datasets is a subset of the Amazon reviews dataset which contain Fashion related products
8 papers · 1 benchmark
The WeChat dataset for fake news detection contains more than 20k news labelled as fake news or not.
7 papers · 1 benchmark
CITE is a crowd-sourced resource for multimodal discourse: this resource characterises inferences in image-text contexts in the domain of cooking recipes in the form of coherence relations.
6 papers · 1 benchmark
A set of approximately 100K podcast episodes comprised of raw audio files along with accompanying ASR transcripts.
6 papers · 0 benchmarks
Coached Conversational Preference Elicitation is a dataset consisting of 502 English dialogs with 12,000 annotated utterances between a user and an assistant discussing movie preferences in natural language.
5 papers · 0 benchmarks
The Epinions dataset is trust network dataset.
5 papers · 1 benchmark
KG20C (A scholarly knowledge graph benchmark dataset)
KG20C is a Knowledge Graph about high quality papers from 20 top computer science Conferences.
5 papers · 1 benchmark
Amazon Fine Foods is a dataset that consists of reviews of fine foods from amazon.
4 papers · 0 benchmarks
Publicly available dataset in the hotel domain (50M versus 0.9M) and additionally, the largest recommendation dataset in a single domain and with textual reviews (50M versus 22M).
3 papers · 0 benchmarks
We ran 21 recommender systems on three datasets (BeerAdvocate, LibraryThing and MovieLens 1M).
3 papers · 0 benchmarks
Dataset of restaurant reviews from TripAdvisor that includes images and texts uploaded in reviews by users.
3 papers · 0 benchmarks
xMIND (A Multilingual Dataset for Cross-lingual News Recommendation)
xMIND is an open, large-scale multilingual news dataset for multi- and cross-lingual news recommendation.
3 papers · 0 benchmarks
Delicious : This data set contains tagged web pages retrieved from the website delicious.com.
2 papers · 1 benchmark
E-ReDial (Explainable Recommendation Dialogues)
E-ReDial is a conversational recommender system dataset with high-quality explanations.
2 papers · 0 benchmarks
A dataset consisting of recipient 46 users and, 26180 tweets.
2 papers · 0 benchmarks
2 papers · 0 benchmarks
Wikidata-14M is a recommender system dataset for recommending items to Wikidata editors.
2 papers · 0 benchmarks
2 papers · 0 benchmarks
CAL10K (Computer Audition Lab 10000)
The CAL10K dataset (introduced as Swat10k) contains 10,870 songs that are weakly-labelled using a tag vocabulary of 475 acoustic tags and 153 genre tags.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.