datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BoolQ_robustness
Dataset Card for "BoolQ-robustness"
Dataset Summary
BoolQ-robustness is an expanded version of the BoolQ dataset (https://arxiv.org/abs/1905.10044) but with perturbations of the original input questions and passages.
It is intended for use as a benchmark for evaluating model robustness on question-answering to these perturbations.
Data Instances
boolq_robustness
Size of downloaded dataset file: 21.8 MB
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/BoolQ_robustness.boolq-mk
BoolQ MK version
This dataset is a Macedonian adaptation of the BoolQ dataset, originally curated (English -> Serbian) by Aleksa Gordić. It was translated from Serbian to Macedonian using the Google Translate API.
You can find this dataset as part of the macedonian-llm-eval GitHub and HuggingFace.
The dataset can be used to evaluate the models described in the paper Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language.
Why Translate from… See the full description on the dataset page: https://huggingface.co/datasets/LVSTCK/boolq-mk.esperanto-boolq-questions
esperanto-boolq-questions
BoolQ questions (train + validation, 12,697 rows) translated from
English to Esperanto by
jensjepsen/eo-mt-v13-large-bidir,
with round-trip quality metadata for filtering.
Row schema
field
description
orig_idx
original BoolQ row index (train first, then validation)
split
source split (train / validation)
en_orig
raw BoolQ question (lowercase, no ?, as in google/boolq)
en_preproc
preprocessed input fed to MT: spaCy… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/esperanto-boolq-questions.