xed_en_fi

Referencje:

• Kod
• Przytulająca twarz

en_adnotacja

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

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

• Opis :

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.

• Licencja : Licencja: Creative Commons Uznanie autorstwa 4.0 Licencja międzynarodowa (CC-BY)
• Wersja : 1.1.0
• Podziały :

Podział	Przykłady
'train'	17528

• Cechy :

{
    "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_neutralny

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

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

• Opis :

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.

• Licencja : Licencja: Creative Commons Uznanie autorstwa 4.0 Licencja międzynarodowa (CC-BY)
• Wersja : 1.1.0
• Podziały :

Podział	Przykłady
'train'	9675

• Cechy :

{
    "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_adnotacja

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

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

• Opis :

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.

• Licencja : Licencja: Creative Commons Uznanie autorstwa 4.0 Licencja międzynarodowa (CC-BY)
• Wersja : 1.1.0
• Podziały :

Podział	Przykłady
'train'	14449

• Cechy :

{
    "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_neutralny

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

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

• Opis :

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.

• Licencja : Licencja: Creative Commons Uznanie autorstwa 4.0 Licencja międzynarodowa (CC-BY)
• Wersja : 1.1.0
• Podziały :

Podział	Przykłady
'train'	10794

• Cechy :

{
    "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"
    }
}