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αˆˆαˆšαŠ¨α‰°αˆ‰α‰΅ αŒ₯α‹«α‰„α‹Žα‰½ α‰΅αŠ­αŠ­αˆ αŠ¨αˆ†αŠ‘ β€Ήβ€ΉαŠ₯α‹αŠα‰΅β€Ίβ€Ί α‹ˆα‹­αˆ αˆ΅αˆ…α‰°α‰΅ αŠ¨αˆ†αŠ‘ β€Ήβ€Ήαˆαˆ°α‰΅β€Ίβ€Ί α‰ αˆ›αˆˆα‰΅ ፃፍ/ፊፑፑ β€Ήβ€ΉαŠ¨αŠα‹°αˆ β€Ήβ€Ήα‹΅β€Ίβ€Ί ቀαŒ₯ሎ αŠα‹°αˆ β€Ήβ€Ήα‹² β€Ίβ€Ί αŠ• αŠ₯αŠ“αŒˆαŠ›αˆˆαŠ•α‘α‘β€Ίβ€Ί
αˆαˆ°α‰΅
Reading Comprehension
1
αˆˆαˆšαŠ¨α‰°αˆ‰α‰΅ αŒ₯α‹«α‰„α‹Žα‰½ α‰΅αŠ­αŠ­αˆ αŠ¨αˆ†αŠ‘ β€Ήβ€ΉαŠ₯α‹αŠα‰΅β€Ίβ€Ί α‹ˆα‹­αˆ αˆ΅αˆ…α‰°α‰΅ αŠ¨αˆ†αŠ‘ β€Ήβ€Ήαˆαˆ°α‰΅β€Ίβ€Ί α‰ αˆ›αˆˆα‰΅ ፃፍ/ፊፑፑ β€Ήβ€Ήα‰ αŠα‹°αˆ ‹‹ቨ β€Ίβ€Ί αˆΈαˆšα‹ α‹¨αˆšαˆ α‰ƒαˆ α‹­αˆ˜αˆ°αˆ¨α‰³αˆα‘α‘β€Ίβ€Ί
αˆαˆ°α‰΅
Reading Comprehension
1
αˆˆαˆšαŠ¨α‰°αˆ‰α‰΅ αŒ₯α‹«α‰„α‹Žα‰½ α‰΅αŠ­αŠ­αˆ αŠ¨αˆ†αŠ‘ β€Ήβ€ΉαŠ₯α‹αŠα‰΅β€Ίβ€Ί α‹ˆα‹­αˆ αˆ΅αˆ…α‰°α‰΅ αŠ¨αˆ†αŠ‘ β€Ήβ€Ήαˆαˆ°α‰΅β€Ίβ€Ί α‰ αˆ›αˆˆα‰΅ ፃፍ/ፊፑ β€Ήβ€Ήα‹αˆ­α‹¬αŠ“ ቑችዬ α‰ αŒ£αˆ α‹°αˆ΅α‰°αŠžα‰½ αŠα‰ αˆ©α‘α‘β€Ίβ€Ί
αŠ₯α‹αŠα‰΅
Reading Comprehension
α‹αˆ­α‹©αŠ“ ቑችዬ αŠ α‰Ά αˆ°αˆˆαˆžαŠ• ቀቡ α‹¨αˆšαŠ–αˆ© αŠ αŠ•α‹²α‰΅ α‹΅αˆ˜α‰΅αŠ“ αŠ αŠ•α‹΅ α‹αˆ» αŠα‰ αˆ© α‹¨α‹΅αˆ˜α‰· ሡም β€Ήβ€Ήα‹αˆ­α‹¬β€Ίβ€Ί αˆ²αˆ†αŠ• α‹¨α‹αˆ»α‹ ሡም α‹°αŒαˆž ‹‹ቑችዬ›› α‹­α‰£αˆ‹αˆα‘α‘ α‹αˆ­α‹¬αŠ“ ቑችዬ α‰ αŒ£αˆ αŒ“α‹°αŠ›αˆžα‰½ αŠα‰ αˆ©α‘α‘ αŠ α‰Ά αˆ°αˆˆαˆžαŠ• αˆˆα‹αˆ­α‹¬ α‹ˆα‰°α‰΅ αŠ₯αŠ“ αˆ³αŠ•α‰£ αˆˆα‰‘α‰½α‹¬ α‹°αŒαˆž አαŒ₯αŠ•α‰΅ α‹­αˆ°αŒ§α‰Έα‹‹αˆα‘α‘ α‹αˆ­α‹¬ αŠ₯αŠ“ ቑችዬ α‰ αŒ£αˆ α‹°αˆ΅α‰°αŠžα‰½ αŠα‰ αˆ©α‘α‘
1
αˆˆαˆšαŠ¨α‰°αˆ‰α‰΅ αŒ₯α‹«α‰„α‹Žα‰½ α‰΅αŠ­αŠ­αˆ αŠ¨αˆ†αŠ‘ β€Ήβ€ΉαŠ₯α‹αŠα‰΅β€Ίβ€Ί α‹ˆα‹­αˆ αˆ΅αˆ…α‰°α‰΅ αŠ¨αˆ†αŠ‘ β€Ήβ€Ήαˆαˆ°α‰΅β€Ίβ€Ί α‰ αˆ›αˆˆα‰΅ ፃፍ/ፊፑ β€Ήβ€Ήα‹αˆ­α‹¬ αŠ₯αŠ“ ቑችዬ α‹¨αˆšαŠ–αˆ©α‰΅ α‰ αŒ«αŠ« α‹αˆ΅αŒ₯ αŠα‰ αˆ­α‘α‘β€Ίβ€Ί
αˆαˆ°α‰΅
Reading Comprehension
α‹αˆ­α‹©αŠ“ ቑችዬ αŠ α‰Ά αˆ°αˆˆαˆžαŠ• ቀቡ α‹¨αˆšαŠ–αˆ© αŠ αŠ•α‹²α‰΅ α‹΅αˆ˜α‰΅αŠ“ αŠ αŠ•α‹΅ α‹αˆ» αŠα‰ αˆ© α‹¨α‹΅αˆ˜α‰· ሡም β€Ήβ€Ήα‹αˆ­α‹¬β€Ίβ€Ί αˆ²αˆ†αŠ• α‹¨α‹αˆ»α‹ ሡም α‹°αŒαˆž ‹‹ቑችዬ›› α‹­α‰£αˆ‹αˆα‘α‘ α‹αˆ­α‹¬αŠ“ ቑችዬ α‰ αŒ£αˆ αŒ“α‹°αŠ›αˆžα‰½ αŠα‰ αˆ©α‘α‘ αŠ α‰Ά αˆ°αˆˆαˆžαŠ• αˆˆα‹αˆ­α‹¬ α‹ˆα‰°α‰΅ αŠ₯αŠ“ αˆ³αŠ•α‰£ αˆˆα‰‘α‰½α‹¬ α‹°αŒαˆž አαŒ₯αŠ•α‰΅ α‹­αˆ°αŒ§α‰Έα‹‹αˆα‘α‘ α‹αˆ­α‹¬ αŠ₯αŠ“ ቑችዬ α‰ αŒ£αˆ α‹°αˆ΅α‰°αŠžα‰½ αŠα‰ αˆ©α‘α‘
1
αˆˆαˆšαŠ¨α‰°αˆ‰α‰΅ αŒ₯α‹«α‰„α‹Žα‰½ α‰΅αŠ­αŠ­αˆ αŠ¨αˆ†αŠ‘ β€Ήβ€ΉαŠ₯α‹αŠα‰΅β€Ίβ€Ί α‹ˆα‹­αˆ αˆ΅αˆ…α‰°α‰΅ αŠ¨αˆ†αŠ‘ β€Ήβ€Ήαˆαˆ°α‰΅β€Ίβ€Ί α‰ αˆ›αˆˆα‰΅ ፃፍ/ፊፑ β€Ήβ€Ήα‹¨α‹΅αˆ˜α‰· ሡም ቑችዬ αŠα‰ αˆ­α‘α‘β€Ίβ€Ί
αˆαˆ°α‰΅
Reading Comprehension
α‹αˆ­α‹©αŠ“ ቑችዬ αŠ α‰Ά αˆ°αˆˆαˆžαŠ• ቀቡ α‹¨αˆšαŠ–αˆ© αŠ αŠ•α‹²α‰΅ α‹΅αˆ˜α‰΅αŠ“ αŠ αŠ•α‹΅ α‹αˆ» αŠα‰ αˆ© α‹¨α‹΅αˆ˜α‰· ሡም β€Ήβ€Ήα‹αˆ­α‹¬β€Ίβ€Ί αˆ²αˆ†αŠ• α‹¨α‹αˆ»α‹ ሡም α‹°αŒαˆž ‹‹ቑችዬ›› α‹­α‰£αˆ‹αˆα‘α‘ α‹αˆ­α‹¬αŠ“ ቑችዬ α‰ αŒ£αˆ αŒ“α‹°αŠ›αˆžα‰½ αŠα‰ αˆ©α‘α‘ αŠ α‰Ά αˆ°αˆˆαˆžαŠ• αˆˆα‹αˆ­α‹¬ α‹ˆα‰°α‰΅ αŠ₯αŠ“ αˆ³αŠ•α‰£ αˆˆα‰‘α‰½α‹¬ α‹°αŒαˆž አαŒ₯αŠ•α‰΅ α‹­αˆ°αŒ§α‰Έα‹‹αˆα‘α‘ α‹αˆ­α‹¬ αŠ₯αŠ“ ቑችዬ α‰ αŒ£αˆ α‹°αˆ΅α‰°αŠžα‰½ αŠα‰ αˆ©α‘α‘

Dataset Card for Uhura-TruthfulQA

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")
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