มี_ส่วนหนึ่ง

ข้อมูลอ้างอิง:

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:has_part')
  • คำอธิบาย :
This dataset is a new knowledge-base (KB) of hasPart relationships, extracted from a large corpus of generic statements. Complementary to other resources available, it is the first which is all three of: accurate (90% precision), salient (covers relationships a person may mention), and has high coverage of common terms (approximated as within a 10 year old’s vocabulary), as well as having several times more hasPart entries than in the popular ontologies ConceptNet and WordNet. In addition, it contains information about quantifiers, argument modifiers, and links the entities to appropriate concepts in Wikipedia and WordNet.
  • ใบอนุญาต : ไม่ทราบใบอนุญาต
  • เวอร์ชัน : 0.0.0
  • แยก :
แยก ตัวอย่าง
'train' 49848
  • คุณสมบัติ :
{
    "arg1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "arg2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "float64",
        "id": null,
        "_type": "Value"
    },
    "wikipedia_primary_page": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "synset": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}
,

ข้อมูลอ้างอิง:

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:has_part')
  • คำอธิบาย :
This dataset is a new knowledge-base (KB) of hasPart relationships, extracted from a large corpus of generic statements. Complementary to other resources available, it is the first which is all three of: accurate (90% precision), salient (covers relationships a person may mention), and has high coverage of common terms (approximated as within a 10 year old’s vocabulary), as well as having several times more hasPart entries than in the popular ontologies ConceptNet and WordNet. In addition, it contains information about quantifiers, argument modifiers, and links the entities to appropriate concepts in Wikipedia and WordNet.
  • ใบอนุญาต : ไม่ทราบใบอนุญาต
  • เวอร์ชัน : 0.0.0
  • แยก :
แยก ตัวอย่าง
'train' 49848
  • คุณสมบัติ :
{
    "arg1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "arg2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "float64",
        "id": null,
        "_type": "Value"
    },
    "wikipedia_primary_page": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "synset": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}