datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
musical-instrumentsmusical-instruments-id-overlap-reward-20260923-v1
Musical Instruments ID-overlap reward supervision, 2026-09-23 v1
14,000 positive rows (two randomly sampled distinct title orderings for each of 7,000 queries) and 22,513 usable unique negative rows: 36,513 labeled training rows. Positive selection uses Python Random seed 20260923, sorted query IDs, sampling two of four existing permutations without replacement. All original rows and selected indices are preserved. No generated negatives are replicated or replenished to force… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-id-overlap-reward-20260923-v1.musical-instruments-sound-datasetFTT_Musical_Instruments_trainmusical-instruments-sound-datasetThis is a processed dataset from this Kaggle dataset.
I've processed to hugging face format, added a validation split and, also fixed a couple of wrong labels that were present on the original dataset.
musical-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-ranker-combined-small-20260924-v1
Musical Instruments combined small ranking dataset
Combines 1,648 shared-train-derived ranker training queries with the original 1,521 agent-dev training queries. No new training run is implied by this publication.
3,169 queries, one true reference-bundle ordering each, and 12,659 pairwise comparisons. One negative per original strategy: random bundle, wrong item, role collision, wrong query. Role collision is unavailable for 17 queries; no replacement strategy is fabricated.… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-ranker-combined-small-20260924-v1.musical-instruments-one-hit-ranking-20260924-v1
Musical Instruments ranking: one matching ID is positive
New version of the previous audited ID-overlap ranking dataset. Preserve the parent data and all raw provenance; no new model-generated bundles here. A valid generated bundle with one distinct reference-ID match is now positive. Zero-match bundles remain negative; true-reference bundles remain positive. This does not imply that partially matching bundles are complete correct recommendations.
5,028 rows promoted;14,000… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-one-hit-ranking-20260924-v1.musical-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_testTermcat_Musical_Instruments
[!NOTE]
Dataset origin: https://live.european-language-grid.eu/catalogue/lcr/19326
Description
Musical Instrument terms
Citation
Termcat Musical Instruments (2022). Version unspecified. [Dataset (Lexical/Conceptual Resource)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/lcr/19326