Alpaca69B/semeval2016-full-absa-reviews-english-translated-resampled

semeval2016-full-absa-reviews-english-translated-resampled Dataset

Description

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.

Credits

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 here 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.

Features

• —sentence: The main text of the sentence.
• —aspect: The aspect targeted by the sentiment.
• —sentiment: The sentiment expressed towards the aspect.
• —text: A textual representation of the dataset for training.

Splits

• —Train: Contains 3,759 training examples, totaling 1,673,969 bytes.
• —Test: Contains 1,056 testing examples, totaling 475,590 bytes.

Download

• —Download Size: 990,515 bytes
• —Dataset Size: 2,149,559 bytes

insights

• —google colab: https://colab.research.google.com/drive/1KSDJXky-W5aR6AZ6ONQ1t4eVjtuzgj?usp=sharing