सन्दर्भ:
दस्तावेज़-zz_TR
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:ccaligned_multilingual/documents-zz_TR')
- विवरण :
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).
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 41 |
- विशेषताएँ :
{
"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"
}
}
वाक्य-zz_TR
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:ccaligned_multilingual/sentences-zz_TR')
- विवरण :
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).
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 34 |
- विशेषताएँ :
{
"translation": {
"languages": [
"en_XX",
"zz_TR"
],
"id": null,
"_type": "Translation"
},
"LASER_similarity": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}
दस्तावेज़-tz_MA
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:ccaligned_multilingual/documents-tz_MA')
- विवरण :
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).
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 4 |
- विशेषताएँ :
{
"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"
}
}
वाक्य-tz_MA
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:ccaligned_multilingual/sentences-tz_MA')
- विवरण :
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).
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 33 |
- विशेषताएँ :
{
"translation": {
"languages": [
"en_XX",
"tz_MA"
],
"id": null,
"_type": "Translation"
},
"LASER_similarity": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}
दस्तावेज़-ak_GH
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:ccaligned_multilingual/documents-ak_GH')
- विवरण :
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).
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 249 |
- विशेषताएँ :
{
"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"
}
}
वाक्य-ak_GH
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:ccaligned_multilingual/sentences-ak_GH')
- विवरण :
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).
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 478 |
- विशेषताएँ :
{
"translation": {
"languages": [
"en_XX",
"ak_GH"
],
"id": null,
"_type": "Translation"
},
"LASER_similarity": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}