सन्दर्भ:
एनोटेट
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:id_clickbait/annotated')
- विवरण :
The CLICK-ID dataset is a collection of Indonesian news headlines that was collected from 12 local online news
publishers; detikNews, Fimela, Kapanlagi, Kompas, Liputan6, Okezone, Posmetro-Medan, Republika, Sindonews, Tempo,
Tribunnews, and Wowkeren. This dataset is comprised of mainly two parts; (i) 46,119 raw article data, and (ii)
15,000 clickbait annotated sample headlines. Annotation was conducted with 3 annotator examining each headline.
Judgment were based only on the headline. The majority then is considered as the ground truth. In the annotated
sample, our annotation shows 6,290 clickbait and 8,710 non-clickbait.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 4.0 अंतर्राष्ट्रीय लाइसेंस
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 15000 |
- विशेषताएँ :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"non-clickbait",
"clickbait"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
कच्चा
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:id_clickbait/raw')
- विवरण :
The CLICK-ID dataset is a collection of Indonesian news headlines that was collected from 12 local online news
publishers; detikNews, Fimela, Kapanlagi, Kompas, Liputan6, Okezone, Posmetro-Medan, Republika, Sindonews, Tempo,
Tribunnews, and Wowkeren. This dataset is comprised of mainly two parts; (i) 46,119 raw article data, and (ii)
15,000 clickbait annotated sample headlines. Annotation was conducted with 3 annotator examining each headline.
Judgment were based only on the headline. The majority then is considered as the ground truth. In the annotated
sample, our annotation shows 6,290 clickbait and 8,710 non-clickbait.
- लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 4.0 अंतर्राष्ट्रीय लाइसेंस
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 38655 |
- विशेषताएँ :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sub-category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"content": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}