README.md

---
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: aspect
    dtype: string
  - name: sentiment
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1681487
    num_examples: 3759
  - name: test
    num_bytes: 477702
    num_examples: 1056
  download_size: 4972663
  dataset_size: 2159189
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

---

# 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/1_K_SDJXky-W5aR6AZ6ONQ1t4eVjtuzgj?usp=sharing

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