তথ্যসূত্র:
নথি-zz_TR
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:ccaligned_multilingual/documents-zz_TR')
- বর্ণনা :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.0.0
- বিভাজন :
| বিভক্ত | উদাহরণ |
|---|---|
'train' | 41 |
- বৈশিষ্ট্য :
{
"Domain": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Source_URL": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Target_URL": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en_XX",
"zz_TR"
],
"id": null,
"_type": "Translation"
}
}
বাক্য-zz_TR
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:ccaligned_multilingual/sentences-zz_TR')
- বর্ণনা :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.0.0
- বিভাজন :
| বিভক্ত | উদাহরণ |
|---|---|
'train' | 34 |
- বৈশিষ্ট্য :
{
"translation": {
"languages": [
"en_XX",
"zz_TR"
],
"id": null,
"_type": "Translation"
},
"LASER_similarity": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}
নথি-tz_MA
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:ccaligned_multilingual/documents-tz_MA')
- বর্ণনা :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.0.0
- বিভাজন :
| বিভক্ত | উদাহরণ |
|---|---|
'train' | 4 |
- বৈশিষ্ট্য :
{
"Domain": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Source_URL": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Target_URL": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en_XX",
"tz_MA"
],
"id": null,
"_type": "Translation"
}
}
বাক্য-tz_MA
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:ccaligned_multilingual/sentences-tz_MA')
- বর্ণনা :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.0.0
- বিভাজন :
| বিভক্ত | উদাহরণ |
|---|---|
'train' | 33 |
- বৈশিষ্ট্য :
{
"translation": {
"languages": [
"en_XX",
"tz_MA"
],
"id": null,
"_type": "Translation"
},
"LASER_similarity": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}
নথি-ak_GH
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:ccaligned_multilingual/documents-ak_GH')
- বর্ণনা :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.0.0
- বিভাজন :
| বিভক্ত | উদাহরণ |
|---|---|
'train' | 249 |
- বৈশিষ্ট্য :
{
"Domain": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Source_URL": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Target_URL": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en_XX",
"ak_GH"
],
"id": null,
"_type": "Translation"
}
}
বাক্য-ak_GH
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:ccaligned_multilingual/sentences-ak_GH')
- বর্ণনা :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.0.0
- বিভাজন :
| বিভক্ত | উদাহরণ |
|---|---|
'train' | 478 |
- বৈশিষ্ট্য :
{
"translation": {
"languages": [
"en_XX",
"ak_GH"
],
"id": null,
"_type": "Translation"
},
"LASER_similarity": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}