domande_semplici_v2

Riferimenti:

• Codice
• Abbracciare la faccia

annotato

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

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

• Descrizione :

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.

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

• Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

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

• Descrizione :

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.

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

• Caratteristiche :

{
    "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"
    }
}

base libera5m

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

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

• Descrizione :

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.

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

• Caratteristiche :

{
    "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"
    }
}