scitail

Riferimenti:

• Codice
• Abbracciare la faccia

snli_format

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

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

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.1.0
• Divide :

• Caratteristiche :

{
    "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"
    }
}

formato_tsv

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

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

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.1.0
• Divide :

• Caratteristiche :

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

dgem_format

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

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

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.1.0
• Divide :

• Caratteristiche :

{
    "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"
    }
}

predittore_format

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

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

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.1.0
• Divide :

• Caratteristiche :

{
    "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"
    }
}