Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
json
Sub-tasks:
multiple-choice-qa
Size:
1K - 10K
Tags:
uhura
License:
metadata
license: cc-by-nc-4.0
language:
- am
- ha
- nso
- sw
- yo
- zu
size_categories:
- 1K<n<10K
multilinguality:
- multilingual
pretty_name: Uhura-EvalHarness
language_details: am, ha, nso, sw, yo, zu
tags:
- uhura
task_categories:
- multiple-choice
task_ids:
- multiple-choice-qa
configs:
- config_name: am_generation
data_files:
- split: train
path: am_gen_train.json
- split: test
path: am_gen_test.json
- config_name: am_multiple_choice
data_files:
- split: train
path: am_mc1_train.json
- split: test
path: am_mc1_test.json
- config_name: ha_generation
data_files:
- split: train
path: ha_gen_train.json
- split: test
path: ha_gen_test.json
- config_name: ha_multiple_choice
data_files:
- split: train
path: ha_mc1_train.json
- split: test
path: ha_mc1_test.json
- config_name: nso_generation
data_files:
- split: train
path: nso_gen_train.json
- split: test
path: nso_gen_test.json
- config_name: nso_multiple_choice
data_files:
- split: train
path: nso_mc1_train.json
- split: test
path: nso_mc1_test.json
- config_name: sw_generation
data_files:
- split: train
path: sw_gen_train.json
- split: test
path: sw_gen_test.json
- config_name: sw_multiple_choice
data_files:
- split: train
path: sw_mc1_train.json
- split: test
path: sw_mc1_test.json
- config_name: yo_generation
data_files:
- split: train
path: yo_gen_train.json
- split: test
path: yo_gen_test.json
- config_name: yo_multiple_choice
data_files:
- split: train
path: yo_mc1_train.json
- split: test
path: yo_mc1_test.json
- config_name: zu_generation
data_files:
- split: train
path: zu_gen_train.json
- split: test
path: zu_gen_test.json
- config_name: zu_multiple_choice
data_files:
- split: train
path: zu_mc1_train.json
- split: test
path: zu_mc1_test.json
Dataset Card for Uhura-TruthfulQA
Table of Contents
Dataset Description
- Point of Contact:
Dataset Summary
Languages
There are 6 languages available:
- Amharic
- Hausa
- Northern Sotho (Sepedi)
- Swahili
- Yoruba
- Zulu
Dataset Structure
Data Instances
The examples look like this for English:
from datasets import load_dataset
data = load_dataset('ebayes/uhura-truthfulqa', 'yo_generation', split="train")