Skywalker-Harrison-mbz/ArabPref
ArabPref Preference Test This repository contains the English and Arabic preference test data from ArabPref. It also contains the English and Arabic MCQ test data. Files pref_test_en.jsonl: 3,300 English examples. pref_test_ar.jsonl: 2,964 Arabic examples. mcq_test_en.jsonl: 992 English multiple-choice questions. mcq_test_ar.jsonl: 992 Arabic multiple-choice questions, including the revised items. The two files are exposed as separate configurations because they… See the full description on the dataset page: https://huggingface.co/datasets/Skywalker-Harrison-mbz/ArabPref.
ArabPref Preference Test
This repository contains the English and Arabic preference test data from ArabPref. It also contains the English and Arabic MCQ test data.
Files
pref_test_en.jsonl: 3,300 English examples.pref_test_ar.jsonl: 2,964 Arabic examples.mcq_test_en.jsonl: 992 English multiple-choice questions.mcq_test_ar.jsonl: 992 Arabic multiple-choice questions, including the revised items.
The two files are exposed as separate configurations because they have different language-specific columns. NaN values in the source data were normalized to JSON null.
Columns
pref_en
countrycategoryaspectprompt_enpreferred_behavior_enrejected_behavior_en
pref_ar
countrycategoryaspectprompt_arpreferred_behavior_arrejected_behavior_ar
mcq_en
countryaspectquestionopaopbopcopdcorrect_answerpositivitynum_of_choices
mcq_ar
countryaspectquestion_aropa_aropb_aropc_aropd_arcorrect_answernum_of_choices
Loading
from datasets import load_dataset
english = load_dataset("Skywalker-Harrison-mbz/ArabPref", "pref_en", split="test")
arabic = load_dataset("Skywalker-Harrison-mbz/ArabPref", "pref_ar", split="test")
mcq_english = load_dataset("Skywalker-Harrison-mbz/ArabPref", "mcq_en", split="test")
mcq_arabic = load_dataset("Skywalker-Harrison-mbz/ArabPref", "mcq_ar", split="test")