datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
steam-games-semanticIds-instructions-v3
Steam Games -- Semantic ID Instruction-Tuning Dataset (v3)
SFT (instruction-tuning) dataset pairing Steam game catalog items with semantic IDs -- short
discrete codes from an RQ-VAE trained on item embeddings -- used to fine-tune
pblrvo/Qwen3-8B-Game-semantic-IDs-v3
to reason over the semantic-ID space instead of raw item IDs/embeddings.
Successor to pblrvo/steam-games-semanticIds-instructions
(used for v1/v2), kept as a separate repo rather than overwriting it -- v2's model… See the full description on the dataset page: https://huggingface.co/datasets/pblrvo/steam-games-semanticIds-instructions-v3.video-games-semantic-ids-mapping
Video Games Semantic IDs with Product Titles
This dataset contains semantic ID mappings with product titles for video games
products from Amazon.
See writeup and demo here: https://eugeneyan.com/writing/semantic-ids/
Dataset Description
A pre-joined dataset that maps semantic IDs to product titles, making it easy to interpret and
work with
hierarchical product embeddings. Semantic IDs are learned representations that encode product
relationships - similar products… See the full description on the dataset page: https://huggingface.co/datasets/eugeneyan/video-games-semantic-ids-mapping.steam-games-semanticIds-instructions
Steam Games -- Semantic ID Instruction-Tuning Dataset
SFT (instruction-tuning) dataset pairing Steam game catalog items with semantic IDs -- short
discrete codes from an RQ-VAE trained on item embeddings -- used to fine-tune
pblrvo/Qwen3-4B-Game-semantic-IDs to
reason over the semantic-ID space instead of raw item IDs/embeddings.
Train: 299,491 examples (sft_train.jsonl)
Validation: 16,118 examples (sft_val.jsonl)
Special tokens: 1,026 (semantic-ID vocabulary: <|sid_start|>… See the full description on the dataset page: https://huggingface.co/datasets/pblrvo/steam-games-semanticIds-instructions.amazon-semantic-ids-recommendationhttps://github.com/snap-research/GRID
Beauty, Sports, Toys
amazon-p5-grid-dataset
This dataset contains pre-processed Amazon user-item interaction sequences and product metadata,
specifically curated for the GRID (Generative Recommendation with Semantic IDs) framework by Snap Research.
It is derived from the P5 recommendation benchmark, covering diverse domains such as Beauty, Sports, and Toys to support
large-scale generative modeling. The data is structured to facilitate the generation of… See the full description on the dataset page: https://huggingface.co/datasets/GlowBond/amazon-semantic-ids-recommendation.amzn_synthetic_conversation_semantic-idamzn_synthetic_conversation_semantic-id-align-docid_concatamzn_semantic_idamzn_synthetic_conversation_semantic-id-alignamzn_semantic_id-5kamzn_conv_semantic_id_align-14kamzn_semantic_id-14k