datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
recsys-papers-2025-2026
📚 Recommender Systems Papers 2025–2026
A curated library of 3,151 recent recommender-systems papers spanning 2025-01-02 → 2026-09-17, each with the original PDF and a structured, section-by-section Markdown analysis (research problem, prior work, method, math, experiments, strengths & weaknesses, …). Includes a self-contained Apple-style HTML browser (index.html).
🔑 Browse by meeting (Data Viewer subsets)
The Dataset Viewer above has a subset dropdown keyed by… See the full description on the dataset page: https://huggingface.co/datasets/yufan/recsys-papers-2025-2026.REC_SYSrecsys-genrec-dataset-final
SIDReasoner final training dataset
Consolidated training data for the Video Games, Office Products, and Industrial
and Scientific domains.
Included data
Video_Games_catalog, Video_Games_reasoning, and Video_Games_seqrec are
sourced from
yufan/recsys-genrec-dataset-refresh-gpt5.4-candidateV2.
Video_Games_catalog.retrieval_summary contains compact GPT-5.4-generated
product summaries for semantic retrieval while preserving every original
catalog field.… See the full description on the dataset page: https://huggingface.co/datasets/yufan/recsys-genrec-dataset-final.RecSys_ACM_2026_Hallucinated
RecSys 2026 ACM challenge, Team: Hallucinated
Step 1: Download the full challenge datasets to obtail the following structure
data/talkpl-ai/TalkPlayData-Challenge-Blind-A
data/talkpl-ai/TalkPlayData-Challenge-Blind-B
data/talkpl-ai/TalkPlayData-Challenge-Dataset
data/talkpl-ai/TalkPlayData-Challenge-Track-Embeddings
data/talkpl-ai/TalkPlayData-Challenge-Track-Metadata # Both all_tracks and test_tracks
data/talkpl-ai/TalkPlayData-Challenge-User-Embeddings… See the full description on the dataset page: https://huggingface.co/datasets/NicoloLocatelli/RecSys_ACM_2026_Hallucinated.recsys-genrec-dataset
🧠 Amazon Semantic-ID Recommendation + Reasoning
Data for the three-stage SIDReasoner pipeline · Reasoning over Semantic IDs Enhances Generative Recommendation
Three Amazon-review categories (5-core, 2016-10 ~ 2018-11), each an independent item
universe with its own Semantic-ID codebook <a_x><b_y><c_z>. Every item maps to a
3-token semantic ID; the model learns to reason over these IDs before recommending.
<cat> below is any of Video_Games, Office_Products… See the full description on the dataset page: https://huggingface.co/datasets/yufan/recsys-genrec-dataset.seq-recsys-simrecsys_slates_dataset
FINN.no Slate Dataset for Recommender Systems
Data and helper functions for FINN.no slate dataset containing both viewed items and clicks from the FINN.no second hand marketplace.
Note: The dataset is originally hosted at https://github.com/finn-no/recsys_slates_dataset and this is a copy of the readme until this repo is properly created "huggingface-style".
We release the FINN.no slate dataset to improve recommender systems research.
The dataset includes both search and… See the full description on the dataset page: https://huggingface.co/datasets/simeneide/recsys_slates_dataset.otto-recsysseq-recsys-simMillion_Song_DatasetRecSys_largerecsys-challenge-2026-artifacts
recsys-challenge-2026-artifacts
Intermediate artifacts of team FPMs_UMONS's pipeline for the
RecSys Challenge 2026. They let you run
Blind-B inference without recomputing the expensive preprocessing steps.
These are pipeline intermediates, not a usable dataset on their own. They
contain track ids and derived tags keyed to the official challenge catalog, and
only mean something to the code that consumes them. There is no standalone
loading recipe here on purpose:… See the full description on the dataset page: https://huggingface.co/datasets/MaximeM/recsys-challenge-2026-artifacts.RecSys-Challenge-2022aeroclub-recsys-2025-pairwiseAK-RecSys-Scoring-DataRecSys_demorecsys-genrec-dataset-gpt5.4
🧠 Amazon Semantic-ID Recommendation + Reasoning — GPT-5.4 regenerated
GPT-5.4 enrichment variant of yufan/recsys-genrec-dataset · Reasoning over Semantic IDs Enhances Generative Recommendation
This repo mirrors the format of the original yufan/recsys-genrec-dataset, but the
LLM-enriched fields are regenerated with GPT-5.4 (Azure OpenAI). The Video Games domain is fully populated.
<cat> below is Video_Games.
✅ Currently available
config… See the full description on the dataset page: https://huggingface.co/datasets/budgiesarecooliguess/recsys-genrec-dataset-gpt5.4.RecSys-data-All-Beauty-v1recsys2026-request-audit-matrices
Feature matrices for recsys2026-request-audit
The four training inputs for train.sh in
recsys2026-request-audit,
the artifact behind the RecSys Challenge 2026 paper "When the Label
Ignores the Request". With these files, retraining the paper's
specialist and matched-control models reproduces the shipped model
dumps tree-for-tree (verified August 16, 2026; see the artifact's
evidence/PROVENANCE.md).
These files are a published dependency of that artifact. Do not
delete or modify… See the full description on the dataset page: https://huggingface.co/datasets/sanjeevsuresh/recsys2026-request-audit-matrices.merged_data_trope_recsysfashion-eval-recsysrecsys-full-data