sem_eval_2018_task_1

Referensi:

subtugas5.bahasa inggris

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.english')
  • Keterangan :
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 BestWorst Scaling.
  • Lisensi : Tidak ada lisensi yang diketahui
  • Versi : 1.1.0
  • Perpecahan :
Membelah Contoh
'test' 3259
'train' 6838
'validation' 886
  • Fitur :
{
    "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"
    }
}

subtugas5.spanyol

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.spanish')
  • Keterangan :
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 BestWorst Scaling.
  • Lisensi : Tidak ada lisensi yang diketahui
  • Versi : 1.1.0
  • Perpecahan :
Membelah Contoh
'test' 2854
'train' 3561
'validation' 679
  • Fitur :
{
    "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"
    }
}

subtugas5.arab

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.arabic')
  • Keterangan :
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 BestWorst Scaling.
  • Lisensi : Tidak ada lisensi yang diketahui
  • Versi : 1.1.0
  • Perpecahan :
Membelah Contoh
'test' 1518
'train' 2278
'validation' 585
  • Fitur :
{
    "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"
    }
}