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--- |
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dataset_info: |
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features: |
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- name: sentence |
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dtype: string |
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- name: aspect |
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dtype: string |
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- name: sentiment |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1673969 |
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num_examples: 3759 |
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- name: test |
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num_bytes: 475590 |
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num_examples: 1056 |
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download_size: 990515 |
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dataset_size: 2149559 |
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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: test |
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path: data/test-* |
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--- |
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--- |
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# semeval2016-full-absa-reviews-english-translated-resampled Dataset |
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## Description |
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The **semeval2016-full-absa-reviews-english-translated-resampled** dataset is an annotated dataset for aspect-based sentiment analysis. Each example in the dataset consists of a sentence, its corresponding aspect, sentiment, and additional text for context. The dataset is divided into train and test sets. |
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## Credits |
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Used eastwind/semeval-2016-absa-reviews-english-translated-resampled, which is derived from eastwind/semeval-2016-absa-reviews-english-translated-stanford-alpaca, by upsampling the neutral class and then resampling 3k examples from each class. The represented dataset is a result of summarization of the aspects and sentiments per equal sentence. In addition a textual representation is added for training purpose. |
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## Features |
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- **sentence**: The main text of the sentence. |
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- **aspect**: The aspect targeted by the sentiment. |
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- **sentiment**: The sentiment expressed towards the aspect. |
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- **text**: A textual representation of the dataset for training. |
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## Splits |
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- **Train**: Contains 3,759 training examples, totaling 1,673,969 bytes. |
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- **Test**: Contains 1,056 testing examples, totaling 475,590 bytes. |
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## Download |
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- **Download Size**: 990,515 bytes |
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- **Dataset Size**: 2,149,559 bytes |
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