सन्दर्भ:
en-qa1
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa1')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa2
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa2')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa3
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa3')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa4
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa4')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 1000 |
'train' | 1000 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa5
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa5')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa6
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa6')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa7
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa7')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa8
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa8')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa9
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa9')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa10
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa10')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa11
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa11')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa12
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa12')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa13
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa13')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa14
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa14')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa15
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa15')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 250 |
'train' | 250 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa16
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa16')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 1000 |
'train' | 1000 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa17
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa17')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 125 |
'train' | 125 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa18
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa18')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 199 |
'train' | 198 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa19
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa19')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 1000 |
'train' | 1000 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa20
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/en-qa20')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 93 |
'train' | 94 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa1
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa1')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa2
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa2')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa3
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa3')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 167 |
'train' | 167 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa4
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa4')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 1000 |
'train' | 1000 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa5
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa5')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa6
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa6')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa7
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa7')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa8
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa8')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa9
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa9')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa10
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa10')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa11
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa11')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 3.0 लाइसेंस
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 200 |
'train' | 200 |
- विशेषताएँ :
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa12
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:babi_qa/hn-qa12')
- विवरण :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction