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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: int64 |
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- name: tweet_text |
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dtype: string |
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- name: tweet_date |
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dtype: string |
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- name: sentiment |
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dtype: int64 |
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- name: query_used |
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dtype: string |
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splits: |
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- name: Train |
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num_bytes: 15324413 |
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num_examples: 95000 |
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- name: Validation |
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num_bytes: 808825 |
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num_examples: 5000 |
|
- name: TestTema |
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num_bytes: 1057904 |
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num_examples: 5000 |
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- name: Test |
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num_bytes: 684589 |
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num_examples: 5000 |
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- name: Test3classes |
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num_bytes: 744334 |
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num_examples: 4999 |
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download_size: 11554103 |
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dataset_size: 18620065 |
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configs: |
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- config_name: default |
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data_files: |
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- split: Train |
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path: data/Train-* |
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- split: Validation |
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path: data/Validation-* |
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- split: TestTema |
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path: data/TestTema-* |
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- split: Test |
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path: data/Test-* |
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- split: Test3classes |
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path: data/Test3classes-* |
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license: cc-by-nc-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- pt |
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tags: |
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- Twitter |
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- Sentiment Analysis |
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- With Bias |
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- Emojis |
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- URLs |
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- Emoticons |
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pretty_name: Dataset with Tweets in Portuguese Labelled for Sentiment Analysis. |
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size_categories: |
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- 100K<n<1M |
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--- |
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This Dataset is saved by Students of the Subject: Interação em Linguagem Natural 2023/24 |
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From: FCUL (Faculdade de Ciências da Universidade de Lisboa) |
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Used for Sentiment Analysis with a pre-trained Roberta Model. |
