dilab-cau/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.
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
- identical Kiwi token signature
(form, tag)per stressed field - increased decoder-tokenizer boundary mismatch under
unsloth/Meta-Llama-3.1-8B
Compared with the conservative v1 generator, the extreme variant deletes as many safe internal spaces as possible before the final mismatch check.
Field coverage
boolq:paragraph,questioncopa:premisehellaswag:contextsentineg:sentencewic:context_1,context_2
Files
data/train.jsonl: accepted stress pairsmetadata/build_report_query_context_stress.json: generation summarymetadata/filtered_out_query_context_stress.jsonl: audit log for rejected rowsmetadata/review_query_context_stress.csv: human-review sheet
Summary
- source dataset:
skt/kobest_v1 - tokenizer:
unsloth/Meta-Llama-3.1-8B - accepted candidates:
903 - filtered-out rows:
3658
Accepted subset counts:
boolq:423wic:305hellaswag:148copa:18sentineg:9
Construction Notes
The generation procedure is implemented in:
scripts/build_kobest_query_context_stress.py
and documented in:
docs/kobest_query_context_stress_ruleset.md
Citation
If you use this dataset, cite the original KoBEST benchmark and describe this repository as a derived extreme label-preserving query/context stress variant.
