सन्दर्भ:
उच्च
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:race/high')
- विवरण :
Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 3498 |
'train' | 62445 |
'validation' | 3451 |
- विशेषताएँ :
{
"example_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"options": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
मध्य
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:race/middle')
- विवरण :
Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 1436 |
'train' | 25421 |
'validation' | 1436 |
- विशेषताएँ :
{
"example_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"options": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
सभी
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:race/all')
- विवरण :
Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 4934 |
'train' | 87866 |
'validation' | 4887 |
- विशेषताएँ :
{
"example_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"options": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}