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"
}
}
हमें_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"
}
}