pn_summary

참고자료:

• 암호
• 포옹하는 얼굴

1.0.0

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:pn_summary/1.0.0')

• 설명 :

A well-structured summarization dataset for the Persian language consists of 93,207 records. It is prepared for Abstractive/Extractive tasks (like cnn_dailymail for English). It can also be used in other scopes like Text Generation, Title Generation, and News Category Classification.
It is imperative to consider that the newlines were replaced with the `[n]` symbol. Please interpret them into normal newlines (for ex. `t.replace("[n]", "
")`) and then use them for your purposes.

• 라이센스 : 알려진 라이센스 없음
• 버전 : 1.0.0
• 분할 :

• 특징 :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "summary": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "category": {
        "num_classes": 18,
        "names": [
            "Economy",
            "Roads-Urban",
            "Banking-Insurance",
            "Agriculture",
            "International",
            "Oil-Energy",
            "Industry",
            "Transportation",
            "Science-Technology",
            "Local",
            "Sports",
            "Politics",
            "Art-Culture",
            "Society",
            "Health",
            "Research",
            "Education-University",
            "Tourism"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    },
    "categories": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "network": {
        "num_classes": 6,
        "names": [
            "Tahlilbazaar",
            "Imna",
            "Shana",
            "Mehr",
            "Irna",
            "Khabaronline"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    },
    "link": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}