hendrycks_test

सन्दर्भ:

अमूर्त_बीजगणित

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/abstract_algebra')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

शरीर रचना

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/anatomy')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 135
'validation' 14
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

खगोल

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/astronomy')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 152
'validation' 16
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

व्यापार को नैतिकता

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/business_ethics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

चिकित्सीय_ज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/clinical_knowledge')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 265
'validation' 29
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

कॉलेज_जीवविज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/college_biology')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 144
'validation' 16
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

कॉलेज_रसायन विज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/college_chemistry')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 8
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

कॉलेज_कंप्यूटर_विज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/college_computer_science')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

कॉलेज_गणित

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/college_mathematics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

कॉलेज_चिकित्सा

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/college_medicine')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 173
'validation' 22
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

कॉलेज_भौतिकी

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/college_physics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 102
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

कंप्यूटर_सुरक्षा

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/computer_security')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

वैचारिक_भौतिकी

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/conceptual_physics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 235
'validation' 26
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

अर्थमिति

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/econometrics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 114
'validation' 12
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

विद्युत अभियन्त्रण

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/electrical_engineering')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 145
'validation' 16
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

प्रारंभिक_गणित

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/elementary_mathematics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 378
'validation' 41
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

औपचारिक_तर्क

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/formal_logic')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 126
'validation' 14
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

वैश्विक_तथ्य

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/global_facts')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 10
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_जीवविज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_biology')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 310
'validation' 32
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_रसायन विज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_chemistry')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 203
'validation' 22
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_कंप्यूटर_विज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_computer_science')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 9
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_यूरोपीय_इतिहास

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_european_history')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 165
'validation' 18
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_भूगोल

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_geography')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 198
'validation' 22
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_सरकार_और_राजनीति

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_government_and_politics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 193
'validation' 21
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_मैक्रोइकॉनॉमिक्स

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_macroeconomics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 390
'validation' 43
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_गणित

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_mathematics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 270
'validation' 29
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_सूक्ष्मअर्थशास्त्र

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_microeconomics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 238
'validation' 26
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_भौतिकी

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_physics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 151
'validation' 17
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_मनोविज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_psychology')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 545
'validation' 60
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_सांख्यिकी

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_statistics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 216
'validation' 23
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_हमारा_इतिहास

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_us_history')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 204
'validation' 22
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हाई_स्कूल_विश्व_इतिहास

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/high_school_world_history')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 237
'validation' 26
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

मानव_उम्र बढ़ने

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/human_aging')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 223
'validation' 23
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

मानव कामुकता

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/human_sexuality')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 131
'validation' 12
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

अंतरराष्ट्रीय कानून

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/international_law')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 121
'validation' 13
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

न्यायशास्र सा

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/jurisprudence')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 108
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

तार्किक भ्रम

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/logical_fallacies')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 163
'validation' 18
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

यंत्र अधिगम

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/machine_learning')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 112
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

प्रबंध

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/management')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 103
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

विपणन

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/marketing')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 234
'validation' 25
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

मेडिकल_जेनेटिक्स

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/medical_genetics')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

मिश्रित

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/miscellaneous')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 783
'validation' 86
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

नैतिक_विवाद

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/moral_disputes')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 346
'validation' 38
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

नैतिक_परिदृश्य

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/moral_scenarios')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 895
'validation' 100
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

पोषण

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/nutrition')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 306
'validation' 33
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

दर्शन

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/philosophy')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 311
'validation' 34
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

प्रागैतिहासिक काल

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/prehistory')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 324
'validation' 35
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

प्रोफेशनल_अकाउंटिंग

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/professional_accounting')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 282
'validation' 31
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

पेशेवर_क़ानून

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/professional_law')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 1534
'validation' 170
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

पेशेवर_चिकित्सा

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/professional_medicine')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 272
'validation' 31
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

पेशेवर_मनोविज्ञान

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/professional_psychology')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 612
'validation' 69
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

जनसंपर्क

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/public_relations')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 110
'validation' 12
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

सुरक्षा_अध्ययन

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/security_studies')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 245
'validation' 27
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

समाज शास्त्र

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/sociology')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 201
'validation' 22
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

हमारी_विदेश_नीति

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/us_foreign_policy')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 100
'validation' 11
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

वाइरालजी

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/virology')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 166
'validation' 18
  • विशेषताएँ : 
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

विश्व_धर्म

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:hendrycks_test/world_religions')
  • विवरण :
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'auxiliary_train' 99842
'dev' 5
'test' 171
'validation' 19
  • विशेषताएँ :
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "num_classes": 4,
        "names": [
            "A",
            "B",
            "C",
            "D"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}