सन्दर्भ:
सभी
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:wikihow/all')
- विवरण :
WikiHow is a new large-scale dataset using the online WikiHow
(http://www.wikihow.com/) knowledge base.
There are two features:
- text: wikihow answers texts.
- headline: bold lines as summary.
There are two separate versions:
- all: consisting of the concatenation of all paragraphs as the articles and
the bold lines as the reference summaries.
- sep: consisting of each paragraph and its summary.
Download "wikihowAll.csv" and "wikihowSep.csv" from
https://github.com/mahnazkoupaee/WikiHow-Dataset and place them in manual folder
https://www.tensorflow.org/datasets/api_docs/python/tfds/download/DownloadConfig.
Train/validation/test splits are provided by the authors.
Preprocessing is applied to remove short articles
(abstract length < 0.75 article length) and clean up extra commas.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 5577 |
'train' | 157252 |
'validation' | 5599 |
- विशेषताएँ :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"headline": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
सितम्बर
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:wikihow/sep')
- विवरण :
WikiHow is a new large-scale dataset using the online WikiHow
(http://www.wikihow.com/) knowledge base.
There are two features:
- text: wikihow answers texts.
- headline: bold lines as summary.
There are two separate versions:
- all: consisting of the concatenation of all paragraphs as the articles and
the bold lines as the reference summaries.
- sep: consisting of each paragraph and its summary.
Download "wikihowAll.csv" and "wikihowSep.csv" from
https://github.com/mahnazkoupaee/WikiHow-Dataset and place them in manual folder
https://www.tensorflow.org/datasets/api_docs/python/tfds/download/DownloadConfig.
Train/validation/test splits are provided by the authors.
Preprocessing is applied to remove short articles
(abstract length < 0.75 article length) and clean up extra commas.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.2.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 37800 |
'train' | 1060732 |
'validation' | 37932 |
- विशेषताएँ :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"headline": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"overview": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sectionLabel": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}