Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
json
Sub-tasks:
multiple-choice-qa
Size:
1K - 10K
License:
Create README.md
Browse files
README.md
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---
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license: cc-by-nc-4.0
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language:
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- am
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- ha
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- nso
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- sw
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- yo
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- zu
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size_categories:
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- 1K<n<10K
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multilinguality:
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- multilingual
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pretty_name: Uhura-TruthfulQA
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language_details: am, ha, nso, sw, yo, zu
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tags:
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- uhura
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- multilingual
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- multicultural
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task_categories:
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- multiple-choice
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task_ids:
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- multiple-choice-qa
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configs:
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- config_name: am_generation
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data_files:
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- split: train
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path: am_gen_train.json
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- split: test
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path: am_gen_test.json
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- split: validation
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path: am_gen_val.json
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- config_name: am_multiple_choice
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data_files:
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- split: train
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path: am_mc1_train.json
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- split: test
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path: am_mc1_test.json
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- split: validation
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path: am_mc1_val.json
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- config_name: ha_multiple_choice
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data_files:
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- split: train
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path: ha_mc1_train.json
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- split: test
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path: ha_mc1_test.json
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- split: validation
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path: ha_mc1_val.json
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- config_name: sw_generation
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data_files:
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- split: train
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path: sw_gen_train.json
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- split: test
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path: sw_gen_test.json
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- split: validation
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path: sw_gen_val.json
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- config_name: sw_multiple_choice
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data_files:
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- split: train
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path: sw_mc1_train.json
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- split: test
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path: sw_mc1_test.json
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- split: validation
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path: sw_mc1_val.json
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- config_name: yo_multiple_choice
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data_files:
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- split: train
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path: yo_mc1_train.json
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- split: test
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path: yo_mc1_test.json
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- split: validation
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path: yo_mc1_val.json
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---
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# Dataset Card for Uhura-TruthfulQA
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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## Dataset Description
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- **Point of Contact:**
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### Dataset Summary
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### Languages
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There are 6 languages available:
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- Amharic
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- Hausa
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- Northern Sotho (Sepedi)
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- Swahili
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- Yoruba
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- Zulu
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## Dataset Structure
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### Data Instances
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The examples look like this for English:
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```
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from datasets import load_dataset
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data = load_dataset('ebayes/uhura-truthfulqa', 'yo_generation', split="train")
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```
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