তথ্যসূত্র:
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:gnad10')
- বর্ণনা :
This dataset is intended to advance topic classification for German texts. A classifier that is efffective in
English may not be effective in German dataset because it has a higher inflection and longer compound words.
The 10kGNAD dataset contains 10273 German news articles from an Austrian online newspaper categorized into
9 categories. Article titles and text are concatenated together and authors are removed to avoid a keyword-like
classification on authors that write frequently about one category. This dataset can be used as a benchmark
for German topic classification.
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.1.0
- বিভাজন :
| বিভক্ত | উদাহরণ |
|---|---|
'test' | 1028 |
'train' | 9245 |
- বৈশিষ্ট্য :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 9,
"names": [
"Web",
"Panorama",
"International",
"Wirtschaft",
"Sport",
"Inland",
"Etat",
"Wissenschaft",
"Kultur"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}