Datasetpublic

xxxxdszz/personal-query-pet-supplies

Personal Query: Pet Supplies This dataset contains personalized product search queries for the Pet_Supplies category. Each record is built from the Personal Query pipeline: Stage 6 generated correct personalized queries. Stage 7 injected user-specific error query variants when a matching error pattern was available. Stage 5 provided the user profile complexity level. Files data.jsonl: all correct Stage 6 queries. Rows without Stage 7 error query keep… See the full description on the dataset page: https://huggingface.co/datasets/xxxxdszz/personal-query-pet-supplies.

sourceHugging Faceotherupdated 5mo agoView on Hugging Face

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Dataset Card

Personal Query: Pet Supplies

This dataset contains personalized product search queries for the Pet_Supplies category.

Each record is built from the Personal Query pipeline:

—Stage 6 generated correct personalized queries.
—Stage 7 injected user-specific error query variants when a matching error pattern was available.
—Stage 5 provided the user profile complexity level.

Files

—data.jsonl: all correct Stage 6 queries. Rows without Stage 7 error query keep error_query as null.
—paired_data.jsonl: only rows where a correct query has a paired error query.
—summary.json: generation statistics for this category.

Dataset Size

Metric	Count
Total rows in `data.jsonl`	40814
Rows in `paired_data.jsonl`	2589
Rows without noisy query	38225

Rows By Query Category

query_category	rows
`deep`	20407
`wide`	20407

Paired Rows By Query Category

query_category	rows
`deep`	1954
`wide`	635

Rows By Complexity

query_category:level	rows
`deep:0`	4293
`deep:1`	9288
`deep:2`	4761
`deep:3`	2065
`wide:0`	9225
`wide:1`	8423
`wide:2`	2276
`wide:3`	483

Schema

Field	Type	Description
`category`	string	Product category.
`uuid`	string	User identifier.
`asin`	string	Amazon product identifier.
`query_category`	string	Query type: `wide` or `deep`.
`complexity_level`	integer	Complexity level of the generated Stage 6 query.
`profile_complexity_level`	integer	User profile complexity level from Stage 5.
`correct_query`	string	Correct query generated in Stage 6.
`correct_word_count`	integer	Word count of `correct_query`.
`attrs_used`	object	Product attributes used to generate the query.
`has_error_query`	boolean	Whether a Stage 7 error query is available.
`error_query`	string or null	Error query generated in Stage 7.
`injected_errors`	list	Injected error metadata for error query generation.

Loading

python

from datasets import load_dataset

full = load_dataset("xxxxdszz/personal-query-pet-supplies", name="full", split="train")
paired = load_dataset("xxxxdszz/personal-query-pet-supplies", name="paired", split="train")

Intended Use

This dataset is intended for research on personalized product search, query generation, error query robustness, and retrieval evaluation.

Data Notes

The queries are synthetic outputs generated from user/product signals in the local Personal Query pipeline. The error queries are generated by injecting user-specific writing error patterns. Review license and redistribution requirements for any upstream source data before external reuse.