xed_en_fi

Riferimenti:

en_annotato

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

ds = tfds.load('huggingface:xed_en_fi/en_annotated')
  • Descrizione :
A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchiks
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.
  • Licenza : Licenza: Licenza Creative Commons Attribuzione 4.0 Internazionale (CC-BY)
  • Versione : 1.1.0
  • Divide :
Diviso Esempi
'train' 17528
  • Caratteristiche :
{
    "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_neutro

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

ds = tfds.load('huggingface:xed_en_fi/en_neutral')
  • Descrizione :
A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchiks
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.
  • Licenza : Licenza: Licenza Creative Commons Attribuzione 4.0 Internazionale (CC-BY)
  • Versione : 1.1.0
  • Divide :
Diviso Esempi
'train' 9675
  • Caratteristiche :
{
    "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_annotato

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

ds = tfds.load('huggingface:xed_en_fi/fi_annotated')
  • Descrizione :
A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchiks
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.
  • Licenza : Licenza: Licenza Creative Commons Attribuzione 4.0 Internazionale (CC-BY)
  • Versione : 1.1.0
  • Divide :
Diviso Esempi
'train' 14449
  • Caratteristiche :
{
    "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

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

ds = tfds.load('huggingface:xed_en_fi/fi_neutral')
  • Descrizione :
A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchiks
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.
  • Licenza : Licenza: Licenza Creative Commons Attribuzione 4.0 Internazionale (CC-BY)
  • Versione : 1.1.0
  • Divide :
Diviso Esempi
'train' 10794
  • Caratteristiche :
{
    "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"
    }
}