---
dataset_info:
  name: semeval2016-full-absa-reviews-english-translated-resampled
  description: >
    This dataset contains annotated data for aspect-based sentiment analysis.
    Each example consists of a sentence, its corresponding aspect, sentiment,
    and additional text for context. The dataset is split into train and test sets.
  citation: >
    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. 
  features:
  - name: sentence
    dtype: string
    description: "The main text of the sentence."
  - name: aspect
    dtype: string
    description: "The aspect targeted by the sentiment."
  - name: sentiment
    dtype: string
    description: "The sentiment expressed towards the aspect."
  - name: text
    dtype: string
    description: "A textual representation of the dataset for training."
  splits:
  - name: train
    num_bytes: 1673969
    num_examples: 3759
    description: "Training examples."
  - name: test
    num_bytes: 475590
    num_examples: 1056
    description: "Testing examples."
  download_size: 990515
  dataset_size: 2149559
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---