Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
json
Sub-tasks:
multiple-choice-qa
Size:
< 1K
License:
File size: 2,160 Bytes
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---
license: cc-by-nc-4.0
language:
- am
- ha
- nso
- sw
- yo
- zu
size_categories:
- 1K<n<10K
multilinguality:
- multilingual
pretty_name: Uhura-TruthfulQA
language_details: am, ha, nso, sw, yo, zu
tags:
- uhura
- multilingual
- multicultural
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
- split: validation
path: am_gen_val.json
- config_name: am_multiple_choice
data_files:
- split: train
path: am_mc1_train.json
- split: test
path: am_mc1_test.json
- split: validation
path: am_mc1_val.json
- config_name: ha_multiple_choice
data_files:
- split: train
path: ha_mc1_train.json
- split: test
path: ha_mc1_test.json
- split: validation
path: ha_mc1_val.json
- config_name: sw_generation
data_files:
- split: train
path: sw_gen_train.json
- split: test
path: sw_gen_test.json
- split: validation
path: sw_gen_val.json
- config_name: sw_multiple_choice
data_files:
- split: train
path: sw_mc1_train.json
- split: test
path: sw_mc1_test.json
- split: validation
path: sw_mc1_val.json
- config_name: yo_multiple_choice
data_files:
- split: train
path: yo_mc1_train.json
- split: test
path: yo_mc1_test.json
- split: validation
path: yo_mc1_val.json
---
# Dataset Card for Uhura-TruthfulQA
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## 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")
``` |