qed_amara

참고자료:

아르코

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:qed_amara/ar-ko')
  • 설명 :
The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.
Developed by: Qatar Computing Research Institute, Arabic Language Technologies Group
The QED Corpus is made public for RESEARCH purpose only.
The corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.
225 languages, 9,291 bitexts
total number of files: 271,558
total number of tokens: 371.76M
total number of sentence fragments: 30.93M
  • 라이센스 : 알려진 라이센스 없음
  • 버전 : 2.0.0
  • 분할 :
나뉘다 예
'train' 592589
  • 특징 : 
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "ar",
            "ko"
        ],
        "id": null,
        "_type": "Translation"
    }
}

de-fr

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:qed_amara/de-fr')
  • 설명 :
The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.
Developed by: Qatar Computing Research Institute, Arabic Language Technologies Group
The QED Corpus is made public for RESEARCH purpose only.
The corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.
225 languages, 9,291 bitexts
total number of files: 271,558
total number of tokens: 371.76M
total number of sentence fragments: 30.93M
  • 라이센스 : 알려진 라이센스 없음
  • 버전 : 2.0.0
  • 분할 :
나뉘다 예
'train' 407224
  • 특징 : 
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "de",
            "fr"
        ],
        "id": null,
        "_type": "Translation"
    }
}

에-잇

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:qed_amara/es-it')
  • 설명 :
The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.
Developed by: Qatar Computing Research Institute, Arabic Language Technologies Group
The QED Corpus is made public for RESEARCH purpose only.
The corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.
225 languages, 9,291 bitexts
total number of files: 271,558
total number of tokens: 371.76M
total number of sentence fragments: 30.93M
  • 라이센스 : 알려진 라이센스 없음
  • 버전 : 2.0.0
  • 분할 :
나뉘다 예
'train' 447369
  • 특징 : 
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "es",
            "it"
        ],
        "id": null,
        "_type": "Translation"
    }
}

엔자

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:qed_amara/en-ja')
  • 설명 :
The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.
Developed by: Qatar Computing Research Institute, Arabic Language Technologies Group
The QED Corpus is made public for RESEARCH purpose only.
The corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.
225 languages, 9,291 bitexts
total number of files: 271,558
total number of tokens: 371.76M
total number of sentence fragments: 30.93M
  • 라이센스 : 알려진 라이센스 없음
  • 버전 : 2.0.0
  • 분할 :
나뉘다 예
'train' 497531
  • 특징 : 
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en",
            "ja"
        ],
        "id": null,
        "_type": "Translation"
    }
}

그-nl

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:qed_amara/he-nl')
  • 설명 :
The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.
Developed by: Qatar Computing Research Institute, Arabic Language Technologies Group
The QED Corpus is made public for RESEARCH purpose only.
The corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.
225 languages, 9,291 bitexts
total number of files: 271,558
total number of tokens: 371.76M
total number of sentence fragments: 30.93M
  • 라이센스 : 알려진 라이센스 없음
  • 버전 : 2.0.0
  • 분할 :
나뉘다 예
'train' 273165
  • 특징 :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "he",
            "nl"
        ],
        "id": null,
        "_type": "Translation"
    }
}