datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
personal-query-grocery-and-gourmet-food
Personal Query: Grocery and Gourmet Food
This dataset contains personalized product search queries for the Grocery_and_Gourmet_Food 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… See the full description on the dataset page: https://huggingface.co/datasets/xxxxdszz/personal-query-grocery-and-gourmet-food.personal-query-baby-products
Personal Query: Baby Products
This dataset contains personalized product search queries for the Baby_Products 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… See the full description on the dataset page: https://huggingface.co/datasets/xxxxdszz/personal-query-baby-products.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 error_query as… See the full description on the dataset page: https://huggingface.co/datasets/xxxxdszz/personal-query-pet-supplies.personalized-query
Personalized Query
This repository contains three personalized product-search query datasets in one Hugging Face dataset page.
Each config corresponds to one product category:
baby: Baby Products
grocery: Grocery and Gourmet Food
pets: Pet Supplies
Each config has two splits:
full: all correct Stage 6 queries. Rows without Stage 7 error query keep error_query as null.
paired: only rows where a correct query has a paired error query.
Dataset Size
Config… See the full description on the dataset page: https://huggingface.co/datasets/xxxxdszz/personalized-query.kobest-query-context-stress-v3
KoBEST Query/Context Label-Preserving Stress v3
This repository packages a v3 paired Korean boundary-stress dataset built
from skt/kobest_v1.
What it contains
Each row preserves:
the original gold label
the original answer options, or a synthetic label space for non-MCQ configs
and modifies only the natural input text fields to make the surface form more
tokenization-fragile while keeping:
identical non-space character sequence per stressed field
identical Kiwi token… See the full description on the dataset page: https://huggingface.co/datasets/dilab-cau/kobest-query-context-stress-v3.kobest-query-context-stress-v2-extreme
KoBEST Query/Context Label-Preserving Stress v2 Extreme
This repository packages an extreme paired Korean boundary-stress dataset
built from skt/kobest_v1.
What it contains
Each row preserves:
the original gold label
the original answer options, or a synthetic label space for non-MCQ configs
and modifies only the natural input text fields to make the surface form more
tokenization-fragile while keeping:
identical non-space character sequence per stressed field… See the full description on the dataset page: https://huggingface.co/datasets/dilab-cau/kobest-query-context-stress-v2-extreme.haerae-query-context-stress-v2-extreme
HAE-RAE Query/Context Label-Preserving Stress v2 Extreme
This repository packages an extreme paired Korean boundary-stress dataset
built from HAERAE-HUB/HAE_RAE_BENCH_1.1.
What it contains
Each row preserves:
the original answer options
the original gold answer
and modifies only the query/context side to make the surface form more
tokenization-fragile while keeping:
identical non-space character sequence
identical Kiwi token signature (form, tag)
increased… See the full description on the dataset page: https://huggingface.co/datasets/dilab-cau/haerae-query-context-stress-v2-extreme.QueryBridge
QueryBridge: One Million Annotated Questions with SPARQL Queries - Dataset for Question Answering over Knowledge Graph
The QueryBridge dataset is the first and largest dataset with annotated questions for question answering (QA) over knowledge graphs. It provides a comprehensive resource for developing and testing algorithms that process and interpret natural language questions in the context of structured knowledge. In addition to QA tasks, QueryBridge can also be used for:
Entity… See the full description on the dataset page: https://huggingface.co/datasets/aorogat/QueryBridge.haerae-query-context-stress-v3
HAE-RAE Query/Context Label-Preserving Stress v3
This repository packages a v3 paired Korean boundary-stress dataset built
from HAERAE-HUB/HAE_RAE_BENCH_1.1.
What it contains
Each row preserves:
the original answer options
the original gold answer
and modifies only the query/context side to make the surface form more
tokenization-fragile while keeping:
identical non-space character sequence
identical Kiwi token signature (form, tag)
increased decoder-tokenizer boundary… See the full description on the dataset page: https://huggingface.co/datasets/dilab-cau/haerae-query-context-stress-v3.Think_and_Query_value_for_R1
Introduction
This repository implements a Shapley value-based approach to quantitatively evaluate the contributions of query (q) and think (t) in generating answer (a).
Method
think_value = [loss(a|q) - loss(a|q,t) + loss(a|∅) - loss(a|t)] / 2
query_value = [loss(a|t) - loss(a|q,t) + loss(a|∅) - loss(a|q)] / 2
think_ratio = think_value/loss(a|∅)
query_ratio = query_value/loss(a|∅)
Original dataset… See the full description on the dataset page: https://huggingface.co/datasets/caihuaiguang/Think_and_Query_value_for_R1.