datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AraDiCE-BoolQ
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
Overview
The AraDiCE dataset is designed to evaluate dialectal and cultural capabilities in large language models (LLMs). The dataset consists of post-edited versions of various benchmark datasets, curated for validation in cultural and dialectal contexts relevant to Arabic. In this repository, we present the BoolQ split of the data.
Evaluation
We have used lm-harness eval framework to for the… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/AraDiCE-BoolQ.boolq-indic
Indic BoolQ Dataset
A multilingual version of the BoolQ (Boolean Questions) dataset, translated from English into 10 Indian languages.
It is a question-answering dataset for yes/no questions containing ~12k naturally occurring questions.
Languages Covered
The dataset includes translations in the following languages:
Bengali (bn)
Gujarati (gu)
Hindi (hi)
Kannada (kn)
Marathi (mr)
Malayalam (ml)
Oriya (or)
Punjabi (pa)
Tamil (ta)
Telugu (te)
Dataset Format
Each… See the full description on the dataset page: https://huggingface.co/datasets/sarvamai/boolq-indic.BoolQuestions
BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?
Official repository for BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?
GitHub Repository: https://github.com/zmzhang2000/boolean-dense-retrieval
HuggingFace Hub: https://huggingface.co/datasets/ustc-zhangzm/BoolQuestions
Paper: https://aclanthology.org/2024.findings-emnlp.156
BoolQuestions
BoolQuestions has been uploaded to Hugging Face Hub. You can download the… See the full description on the dataset page: https://huggingface.co/datasets/ustc-zhangzm/BoolQuestions.boolq_bn
Dataset Summary
BoolQ Bangla (BN) is a question-answering dataset for yes/no questions, generated using GPT-4. The dataset contains 15,942 examples, with each entry consisting of a triplet: (question, passage, answer). The questions are naturally occurring, generated from unprompted and unconstrained settings. Input passages were sourced from Bangla Wikipedia, Banglapedia, and News Articles, and GPT-4 was used to generate corresponding yes/no questions with answers.
The dataset was… See the full description on the dataset page: https://huggingface.co/datasets/hishab/boolq_bn.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.boolq-indic
Indic BoolQ Dataset
A multilingual version of the BoolQ (Boolean Questions) dataset, translated from English into 10 Indian languages.
It is a question-answering dataset for yes/no questions containing ~12k naturally occurring questions.
Languages Covered
The dataset includes translations in the following languages:
Bengali (bn)
Gujarati (gu)
Hindi (hi)
Kannada (kn)
Marathi (mr)
Malayalam (ml)
Oriya (or)
Punjabi (pa)
Tamil (ta)
Telugu (te)
Dataset Format
Each… See the full description on the dataset page: https://huggingface.co/datasets/mygitphase/boolq-indic.boolq_indic
Indic BoolQ Dataset
A multilingual version of the BoolQ (Boolean Questions) dataset, translated from English into 10 Indian languages.
It is a question-answering dataset for yes/no questions containing ~12k naturally occurring questions.
Languages Covered
The dataset includes translations in the following languages:
Bengali (bn)
Gujarati (gu)
Hindi (hi)
Kannada (kn)
Marathi (mr)
Malayalam (ml)
Oriya (or)
Punjabi (pa)
Tamil (ta)
Telugu (te)
Dataset Format
Each… See the full description on the dataset page: https://huggingface.co/datasets/mygitphase/boolq_indic.boolq-ka
boolq-ka
Georgian translation of the BoolQ (Boolean Questions) benchmark.
Dataset Summary
Property
Value
Examples
3,270
Splits
validation
Languages
Georgian, English
Task
Yes/No Question Answering
Data Fields
question: Question (English)
answer: Boolean answer
passage: Context passage (English)
question_ka: Question (Georgian)
answer_ka: Answer (Georgian)
passage_ka: Context passage (Georgian)
Translation Methodology… See the full description on the dataset page: https://huggingface.co/datasets/tbilisi-ai-lab/boolq-ka.