xed_en_fi

مراجع:

• کد
• صورت در آغوش گرفته

en_notated

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xed_en_fi/en_annotated')

• توضیحات :

A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik’s
core emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass
dataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to
show that XED performs on par with other similar datasets and is therefore a useful tool for
sentiment analysis and emotion detection.

• مجوز : مجوز: Creative Commons Attribution 4.0 International License (CC-BY)
• نسخه : 1.1.0
• تقسیم ها :

• ویژگی ها :

{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "labels": {
        "feature": {
            "num_classes": 9,
            "names": [
                "neutral",
                "anger",
                "anticipation",
                "disgust",
                "fear",
                "joy",
                "sadness",
                "surprise",
                "trust"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en_neutral

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xed_en_fi/en_neutral')

• توضیحات :

A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik’s
core emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass
dataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to
show that XED performs on par with other similar datasets and is therefore a useful tool for
sentiment analysis and emotion detection.

• مجوز : مجوز: Creative Commons Attribution 4.0 International License (CC-BY)
• نسخه : 1.1.0
• تقسیم ها :

• ویژگی ها :

{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "labels": {
        "num_classes": 9,
        "names": [
            "neutral",
            "anger",
            "anticipation",
            "disgust",
            "fear",
            "joy",
            "sadness",
            "surprise",
            "trust"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

fi_notated

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xed_en_fi/fi_annotated')

• توضیحات :

A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik’s
core emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass
dataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to
show that XED performs on par with other similar datasets and is therefore a useful tool for
sentiment analysis and emotion detection.

• مجوز : مجوز: Creative Commons Attribution 4.0 International License (CC-BY)
• نسخه : 1.1.0
• تقسیم ها :

• ویژگی ها :

{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "labels": {
        "feature": {
            "num_classes": 9,
            "names": [
                "neutral",
                "anger",
                "anticipation",
                "disgust",
                "fear",
                "joy",
                "sadness",
                "surprise",
                "trust"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

fi_neutral

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xed_en_fi/fi_neutral')

• توضیحات :

A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik’s
core emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass
dataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to
show that XED performs on par with other similar datasets and is therefore a useful tool for
sentiment analysis and emotion detection.

• مجوز : مجوز: Creative Commons Attribution 4.0 International License (CC-BY)
• نسخه : 1.1.0
• تقسیم ها :

• ویژگی ها :

{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "labels": {
        "num_classes": 9,
        "names": [
            "neutral",
            "anger",
            "anticipation",
            "disgust",
            "fear",
            "joy",
            "sadness",
            "surprise",
            "trust"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}