sem_eval_2018_task_1

参考文献:

サブタスク5.英語

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.english')
  • 説明
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.
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.1.0
  • 分割:
スプリット
'test' 3259
'train' 6838
'validation' 886
  • 特徴
{
    "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"
    }
}

サブタスク5.スペイン語

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.spanish')
  • 説明
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.
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.1.0
  • 分割:
スプリット
'test' 2854
'train' 3561
'validation' 679
  • 特徴
{
    "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"
    }
}

サブタスク5.アラビア語

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.arabic')
  • 説明
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.
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.1.0
  • 分割:
スプリット
'test' 1518
'train' 2278
'validation' 585
  • 特徴
{
    "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"
    }
}