อ้างอิง:
เอล-เอ็น
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/el-en')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 10855 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"el",
"en"
],
"id": null,
"_type": "Translation"
}
}
cs-en
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/cs-en')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 78977 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"cs",
"en"
],
"id": null,
"_type": "Translation"
}
}
en-hu
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-hu')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 42629 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en",
"hu"
],
"id": null,
"_type": "Translation"
}
}
en-ro
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-ro')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 48789 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en",
"ro"
],
"id": null,
"_type": "Translation"
}
}
en-sk
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-sk')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 23410 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en",
"sk"
],
"id": null,
"_type": "Translation"
}
}
อังกฤษ
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-uk')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 89226 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en",
"uk"
],
"id": null,
"_type": "Translation"
}
}
es-fr
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/es-fr')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 32553 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"es",
"fr"
],
"id": null,
"_type": "Translation"
}
}
fr-ru
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/fr-ru')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 10889 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"fr",
"ru"
],
"id": null,
"_type": "Translation"
}
}
ยกเลิกเ
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/de-fr')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 1167988 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"de",
"fr"
],
"id": null,
"_type": "Translation"
}
}
เอนจา
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-ja')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 6170339 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"en",
"ja"
],
"id": null,
"_type": "Translation"
}
}
en-es
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-es')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 649396 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"en",
"es"
],
"id": null,
"_type": "Translation"
}
}
en-fr
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-fr')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 12223525 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"en",
"fr"
],
"id": null,
"_type": "Translation"
}
}
ดี-เอ็น
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/de-en')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 2165054 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"de",
"en"
],
"id": null,
"_type": "Translation"
}
}
เอ็น-โกะ
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-ko')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 2324357 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"en",
"ko"
],
"id": null,
"_type": "Translation"
}
}
fr-ja
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/fr-ja')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 313422 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"fr",
"ja"
],
"id": null,
"_type": "Translation"
}
}
en-zh
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-zh')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 4897841 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"en",
"zh"
],
"id": null,
"_type": "Translation"
}
}
en-ru
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-ru')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 4296399 |
- คุณสมบัติ :
{
"translation": {
"languages": [
"en",
"ru"
],
"id": null,
"_type": "Translation"
}
}
fr-ko
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/fr-ko')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 120607 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"fr",
"ko"
],
"id": null,
"_type": "Translation"
}
}
รู-สหราชอาณาจักร
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/ru-uk')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 85963 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"family_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"ru",
"uk"
],
"id": null,
"_type": "Translation"
}
}
ภาษาอังกฤษ
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:para_pat/en-pt')
- คำอธิบาย :
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.
We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชั่น : 1.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 23121 |
- คุณสมบัติ :
{
"index": {
"dtype": "int32",
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},
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},
"translation": {
"languages": [
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],
"id": null,
"_type": "Translation"
}
}