مقالات علمی

مراجع:

arxiv

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:scientific_papers/arxiv')

توضیحات :

Scientific papers datasets contains two sets of long and structured documents.
The datasets are obtained from ArXiv and PubMed OpenAccess repositories.

Both "arxiv" and "pubmed" have two features:
  - article: the body of the document, pagragraphs seperated by "/n".
  - abstract: the abstract of the document, pagragraphs seperated by "/n".
  - section_names: titles of sections, seperated by "/n".

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.1
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	6440
`'train'`	203037
`'validation'`	6436

ویژگی ها :

{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "abstract": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "section_names": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

pubmed

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:scientific_papers/pubmed')

توضیحات :

Scientific papers datasets contains two sets of long and structured documents.
The datasets are obtained from ArXiv and PubMed OpenAccess repositories.

Both "arxiv" and "pubmed" have two features:
  - article: the body of the document, pagragraphs seperated by "/n".
  - abstract: the abstract of the document, pagragraphs seperated by "/n".
  - section_names: titles of sections, seperated by "/n".

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.1
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	6658
`'train'`	119924
`'validation'`	6633

ویژگی ها :

{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "abstract": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "section_names": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}