squad_adversarial

Références :

• Code
• Visage câlin

squad_adversarial

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:squad_adversarial/squad_adversarial')

• Description :

Here are two different adversaries, each of which uses a different procedure to pick the sentence it adds to the paragraph:
AddSent: Generates up to five candidate adversarial sentences that don't answer the question, but have a lot of words in common with the question. Picks the one that most confuses the model.
AddOneSent: Similar to AddSent, but just picks one of the candidate sentences at random. This adversary is does not query the model in any way.

• Licence : Licence MIT
• Version : 1.1.0
• Divisions :

• Caractéristiques :

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AjouterEnvoyé

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:squad_adversarial/AddSent')

• Description :

Here are two different adversaries, each of which uses a different procedure to pick the sentence it adds to the paragraph:
AddSent: Generates up to five candidate adversarial sentences that don't answer the question, but have a lot of words in common with the question. Picks the one that most confuses the model.
AddOneSent: Similar to AddSent, but just picks one of the candidate sentences at random. This adversary is does not query the model in any way.

• Licence : Licence MIT
• Version : 1.1.0
• Divisions :

• Caractéristiques :

{
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        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
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        "id": null,
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    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "text": {
                "dtype": "string",
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        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

AjouterUnEnvoyé

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:squad_adversarial/AddOneSent')

• Description :

Here are two different adversaries, each of which uses a different procedure to pick the sentence it adds to the paragraph:
AddSent: Generates up to five candidate adversarial sentences that don't answer the question, but have a lot of words in common with the question. Picks the one that most confuses the model.
AddOneSent: Similar to AddSent, but just picks one of the candidate sentences at random. This adversary is does not query the model in any way.

• Licence : Licence MIT
• Version : 1.1.0
• Divisions :

• Caractéristiques :

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    "context": {
        "dtype": "string",
        "id": null,
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    },
    "question": {
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    "answers": {
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