Task Categories: sentiment-analysis
Languages: fa
Multilinguality: monolingual
Size Categories: 1K<n<10K
Language Creators: expert-generated
Annotations Creators: expert-generated

Dataset Card for PersiNLU (Textual Entailment)

Dataset Summary

A Persian sentiment analysis dataset.

Supported Tasks and Leaderboards

[More Information Needed]


The text dataset is in Persian (fa).

Dataset Structure

Data Instances

Here is an example from the dataset:

  "review": "خوب بود ولی خیلی گرون شده دیگه...فک نکنم به این قیمت ارزش خرید داشته باشد",
  "review_id": "1538",
  "example_id": "4",
  "excel_id": "food_194",
  "question": "نظر شما در مورد بسته بندی و نگهداری این حلوا شکری، ارده و کنجد چیست؟",
  "category": "حلوا شکری، ارده و کنجد",
  "aspect": "بسته بندی",
  "label": "-3",
  "guid": "food-dev-r1538-e4"

Data Fields

  • review: the review text.
  • review_id: a unique id associated with the review.
  • example_id: a unique id associated with a particular attribute being addressed about the review.
  • question: a natural language question about a particular attribute.
  • category: the subject discussed in the review.
  • aspect: the aspect mentioned in the input question.
  • label: the overall sentiment towards this particular subject, in the context of the mentioned aspect. Here are the definition of the labels:
      '-3': 'no sentiment expressed',
      '-2': 'very negative',
      '-1': 'negative',
      '0': 'neutral',
      '1': 'positive',
      '2': 'very positive',
      '3': 'mixed',

Data Splits

See the data.

Dataset Creation

Curation Rationale

For details, check the corresponding draft.

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]


Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

CC BY-NC-SA 4.0 License

Citation Information

    title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
    authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian, Sarik and others},
    journal = {arXiv e-prints},
    eprint = {2012.06154},    


Thanks to @danyaljj for adding this dataset.

Models trained or fine-tuned on persiannlp/parsinlu_sentiment

None yet