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Rating Prediction
Predicting the explicit rating a user would give to an item, commonly used in collaborative filtering recommendation systems.
Leaderboard
12 models total
Benchmarks
CRP
Humicroedit
LCP
SICK
STSB
WASSA
Acc
BART
Yelp
FSC-147
MovieLens-1M
MovieLens-100K
World Values Survey (WVS) Wave 7
Amazon
Durbin-d
Durbin-r
Housing
LaMP-3
Lin-d
Lin-r
PM25
Poverty
SL-d
SL-r
SLX-d
SLX-r
UTKFace
AgeDB-DIR
Amazon (Movies&TV)
Amazon-book
Amazon-music
ARC Challenge
Beyond8Bits
BJ
Book-Crossing
KGCN-sum
Clothing Shoes and jewelry
GSM8K
Hellaswag
ICIP
IMDB-WIKI-DIR
Instagram
last-fm
KGCN-concat
MDID-TEST
MovieLens-1M-3000
NY
Semantic Textual Similarity Benchmark (STSB)
Silver
SMPD
TripAdvisor (TA-HK)
US Amazon reviews
USMLE
Winogrande
Yelp Challenge 2019 (YELP19)
Yelp Review
ZSC-8K
AgeDB-Natural
Air Quality data
Amazon 5-cores
Amazon reviews
ANLI
Art_Crafts
Arts Crafts and Sewing
Automotive
AVEC 2013
AVEC 2014
BCPS
Beauty
Bing News
Book
BVCC
CARPK
CCPS
Children's Book Test Common noun
MKR
CiaoDVD
CIKM
CMCQRD
COMPAS
CT-RATE
Custom dataset (1270 queries, 40 participants, 3 domains)
Customer Satisfaction
Digital_Music
DIPA2
Douban
DrivaerML
DrivAerNet
DrivAerNet++
DTS
E-DAIC
E-DAIC (PHQ-8)
Epinions
FilmTrust
Fluorescence data (fitness='blue')
Fluorescence data (fitness='red')
FSC-147 Mul
Gold
Grocery and Gourmet Food
HCV data
HHMotion
Historical Image Dating
Humaneval
IBM-ArgQ-5.3kArgs
IBM-Rank-30k
ICLR 2024
ICLR 2025
Image Aesthetics Assessment
IMDB-WIKI
IMDB-WIKI-Natural
IMEMNet
KuaiRand-Pure
KuaiRec
Lambda
LIVE-HDR
Local Business
LogiQA2
Luxury_Beauty
MathQA
Mental Health in Healthcare Workers
MicroLens
MMLU
Mohler
MORPH II
MovieLens
MovieLens100K
MovieLens1M
Movies and TV
MPD
NUS
Opport-CT
ordinal
POPE
Product
py150
RateMyProfessor
Recipe
regression
semi-synthetic dataset
SFV+HDR
ShanghaiTech
Short-video
Software
Sports and Outdoors
STS-B
STS-B-Natural
synthetic
synthetic SHIM data
TikTok
TripAdvisor
TruthfulQA
VE-Bench DB
VIPL
WeChat
XNLI
Yelp Reviews