פשוט_שאלות_v2

הפניות:

• קוד
• מחבקת פנים

מבואר

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:simple_questions_v2/annotated')

• תיאור :

SimpleQuestions is a dataset for simple QA, which consists
of a total of 108,442 questions written in natural language by human
English-speaking annotators each paired with a corresponding fact,
formatted as (subject, relationship, object), that provides the answer
but also a complete explanation.  Fast have been extracted from the
Knowledge Base Freebase (freebase.com).  We randomly shuffle these
questions and use 70% of them (75910) as training set, 10% as
validation set (10845), and the remaining 20% as test set.

• רישיון : אין רישיון ידוע
• גרסה : 1.0.0
• פיצולים :

• מאפיינים :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "subject_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relationship": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "object_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

freebase2m

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:simple_questions_v2/freebase2m')

• תיאור :

SimpleQuestions is a dataset for simple QA, which consists
of a total of 108,442 questions written in natural language by human
English-speaking annotators each paired with a corresponding fact,
formatted as (subject, relationship, object), that provides the answer
but also a complete explanation.  Fast have been extracted from the
Knowledge Base Freebase (freebase.com).  We randomly shuffle these
questions and use 70% of them (75910) as training set, 10% as
validation set (10845), and the remaining 20% as test set.

• רישיון : אין רישיון ידוע
• גרסה : 1.0.0
• פיצולים :

• מאפיינים :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "subject_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relationship": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "object_entities": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

freebase5m

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:simple_questions_v2/freebase5m')

• תיאור :

SimpleQuestions is a dataset for simple QA, which consists
of a total of 108,442 questions written in natural language by human
English-speaking annotators each paired with a corresponding fact,
formatted as (subject, relationship, object), that provides the answer
but also a complete explanation.  Fast have been extracted from the
Knowledge Base Freebase (freebase.com).  We randomly shuffle these
questions and use 70% of them (75910) as training set, 10% as
validation set (10845), and the remaining 20% as test set.

• רישיון : אין רישיון ידוע
• גרסה : 1.0.0
• פיצולים :

• מאפיינים :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "subject_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relationship": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "object_entities": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}