datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
musical-instrumentsFTT_Musical_Instruments_trainmusical-instruments-ranker-unseen-20260923
Musical Instruments ranker data unseen by selected SFT checkpoint
All 2,217 positive examples not consumed by SFT checkpoint 420 are preserved in unseen_positives.jsonl. Twenty rows repeat a positive product set already seen by that checkpoint and are quarantined, leaving 2,197 eligible positives. These are exact query/set exclusions, not product-level or user-level independence.
Training/validation/test are grouped roughly 75%/12.5%/12.5%; eval means validation. Each positive… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-ranker-unseen-20260923.FTT_Musical_Instruments_interactionsmusical-instruments-sft-selected-prefix-20260923
Musical Instruments selected-checkpoint SFT prefix
The exact 6,720 training examples consumed by full-parameter Qwen3-4B SFT checkpoint 420. Rows retain original candidate IDs and zero-based shuffled epoch positions. The complete one-epoch run used 8,937 examples, but the selected checkpoint consumed only this prefix. Reconstructed from saved input order, seed 42, explicit Python shuffle,420 updates × microbatch 2 × accumulation 8; no DataLoader/prefetch or resume.
Source:… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-sft-selected-prefix-20260923.musical-instruments-ranker-unseen-resampled-20260924-v1
Musical Instruments original ranker protocol: resampled v1
A training-only expansion of the original ranking dataset. Same 1,648 training queries, same original negative-generation rules. Four distinct orderings of each complete reference bundle give 6,592 positive rows. Two independent negatives per strategy are requested: random set, role collision, wrong item, wrong query. There are 13,150 negatives/comparisons (exactly twice the original 6,575): random set 3,296; role… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-ranker-unseen-resampled-20260924-v1.amazon-musical-instruments-2018-2023-5core
Amazon Musical Instruments — 5-Core Sampled Dataset (2018-2023)
Sampled subset of Amazon Reviews 2023 Musical Instruments category, created for a Data Mining course recommendation system project.
Sampling Strategy
Time filter: 2018-01-01 to 2023-09-12
Iterative 5-core filtering: Both users and items have at least 5 interactions (iteratively until stable)
Cold-start test set: 5000 users with 1-2 reviews held out for cold-start evaluation
Random seed: 42… See the full description on the dataset page: https://huggingface.co/datasets/oyku-tugana/amazon-musical-instruments-2018-2023-5core.XMRec_reviews_fr_Musical_Instruments
Description
Cleaned version of the Musical Instruments subset (reviews folder) of XMRec dataset.
Columns meaning:
asin is a code which can be used as a key to merge the dataset with XMRec_metadata_fr_Musical_Instruments containing all the informations about the product to which the customer review refers
summary is the term used in the original dataset, can be seen as a preview of the review
reviewText contains the text of the review
overall is the customer's rating of the… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/XMRec_reviews_fr_Musical_Instruments.XMRec_metadata_fr_Musical_Instruments
Description
Cleaned version of the Musical Instruments subset (metadata folder) of XMRec dataset.In particular, we have made the images available as PILs.
Possible use cases are :
text classification, using the categories column as a label
product recommendation using the related column
hybrid text/image search (cf. this Jina.ai blog post)
Original paper citation
@inproceedings{bonab2021crossmarket,
author = {Bonab, Hamed and Aliannejadi, Mohammad and Vardasbi… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/XMRec_metadata_fr_Musical_Instruments.Synthetic-Musical-InstrumentsFTT_Musical_Instruments_validamazon-musical-instruments-2014-2023-5core
Amazon Musical Instruments — 5-Core Sampled Dataset (2018-2023)
Sampled subset of Amazon Reviews 2023 Musical Instruments category, created for a Data Mining course recommendation system project.
Sampling Strategy
Time filter: 2014-01-01 to 2023-09-12
Iterative 5-core filtering: Both users and items have at least 5 interactions (iteratively until stable)
Cold-start test set: 10000 users with 1-2 reviews held out for cold-start evaluation
Random seed: 42… See the full description on the dataset page: https://huggingface.co/datasets/oyku-tugana/amazon-musical-instruments-2014-2023-5core.amazonreview-data-appliances_and_musicalinstrumentsFTT_Musical_Instruments_item_infoFTT_Musical_Instruments_test