sem_eval_2018_task_1

Bibliografia:

podzadanie5.angielski

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

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.english')

Opis :

SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.
 This is a dataset for multilabel emotion classification for tweets.
 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'
 It contains 22467 tweets in three languages manually annotated by crowdworkers using Best–Worst Scaling.

Licencja : Brak znanej licencji
Wersja : 1.1.0
Podziały :

Podział	Przykłady
`'test'`	3259
`'train'`	6838
`'validation'`	886

Cechy :

{
    "ID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Tweet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "anger": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "anticipation": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "disgust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "fear": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "joy": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "love": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "optimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "pessimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "sadness": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "surprise": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "trust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    }
}

podzadanie 5.hiszpańskie

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

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.spanish')

Opis :

SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.
 This is a dataset for multilabel emotion classification for tweets.
 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'
 It contains 22467 tweets in three languages manually annotated by crowdworkers using Best–Worst Scaling.

Licencja : Brak znanej licencji
Wersja : 1.1.0
Podziały :

Podział	Przykłady
`'test'`	2854
`'train'`	3561
`'validation'`	679

Cechy :

{
    "ID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Tweet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "anger": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "anticipation": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "disgust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "fear": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "joy": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "love": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "optimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "pessimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "sadness": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "surprise": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "trust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    }
}

podzadanie 5.arabskie

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

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.arabic')

Opis :

SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.
 This is a dataset for multilabel emotion classification for tweets.
 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'
 It contains 22467 tweets in three languages manually annotated by crowdworkers using Best–Worst Scaling.

Licencja : Brak znanej licencji
Wersja : 1.1.0
Podziały :

Podział	Przykłady
`'test'`	1518
`'train'`	2278
`'validation'`	585

Cechy :

{
    "ID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Tweet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "anger": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "anticipation": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "disgust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "fear": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "joy": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "love": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "optimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "pessimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "sadness": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "surprise": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "trust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    }
}