scitail

Les références:

• Code
• Visage câlin

snli_format

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

ds = tfds.load('huggingface:scitail/snli_format')

• Description :

The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question 
and the correct answer choice are converted into an assertive statement to form the hypothesis. We use information 
retrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We 
crowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create 
the SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples 
with neutral label

• Licence : Aucune licence connue
• Version : 1.1.0
• Divisions :

• Caractéristiques :

{
    "sentence1_binary_parse": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence1_parse": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2_parse": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "annotator_labels": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "gold_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

format_tsv

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

ds = tfds.load('huggingface:scitail/tsv_format')

• Description :

The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question 
and the correct answer choice are converted into an assertive statement to form the hypothesis. We use information 
retrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We 
crowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create 
the SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples 
with neutral label

• Licence : Aucune licence connue
• Version : 1.1.0
• Divisions :

• Caractéristiques :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

format_gem

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

ds = tfds.load('huggingface:scitail/dgem_format')

• Description :

The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question 
and the correct answer choice are converted into an assertive statement to form the hypothesis. We use information 
retrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We 
crowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create 
the SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples 
with neutral label

• Licence : Aucune licence connue
• Version : 1.1.0
• Divisions :

• Caractéristiques :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis_graph_structure": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

format_prédicteur

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

ds = tfds.load('huggingface:scitail/predictor_format')

• Description :

The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question 
and the correct answer choice are converted into an assertive statement to form the hypothesis. We use information 
retrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We 
crowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create 
the SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples 
with neutral label

• Licence : Aucune licence connue
• Version : 1.1.0
• Divisions :

• Caractéristiques :

{
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2_structure": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "gold_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}