metadata

annotations_creators:
  - Duygu Altinok
language:
  - tr
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
pretty_name: BuyukSinema
tags:
  - sentiment
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': nono
            '1': nowatch
            '2': horrible
            '3': poor
            '4': bad
            '5': middle
            '6': good
            '7': great
            '8': super
            '9': amazing
  splits:
    - name: train
      num_bytes: 46979645
      num_examples: 67328
    - name: validation
      num_bytes: 733500
      num_examples: 10000
    - name: test
      num_bytes: 742661
      num_examples: 10000
  download_size: 58918801
  data_files:
    - split: train
      path: movies/train-*
    - split: validation
      path: movies/validation-*
    - split: test
      path: movies/test-*

BüyükSinema - A Large Scale Turkish Movie Reviews Sentiment Dataset

Dataset Summary

BüyükSinema is a Turkish movie reviews dataset of size 87K, scraped from Sinefil.com and Beyazperde.com. Hence this dataset is a superset of BeyazPerde All Movie Reviews, BeyazPerde Top 300 Movie Reviews and Sinefil Movie Reviews datasets.

This is a merge of the three different datasets from two resources, hence we scaled the output stars into the range of 1-10 accordingly.

The star distribution is as follows:

star rating	count
1	5,657
2	3,092
3	2,172
4	3,491
5	7,349
6	9,078
7	15,647
8	21,154
9	10,868
10	8,820
total	87,328

The star distribution is quite skewed towards 7+ stars. For more information about dataset statistics, please refer to the research paper.

Dataset Instances

An instance looks like:

{
"text":"Mükemmelin ötesinde bir şey. Helal olsun. Devamını da isteriz artık... Emeğinize Yüreğinize Sağlık...",
"label":9
}

Data Split

name	train	validation	test
BüyükSinema Movie Reviews	67328	10000	10000

Benchmarking

This dataset is a part of TRGLUE and SentiTurca benchmarks, in the benchmark the subset name is TrSST-2, named according to the GLUE tasks. Also the TrGLUE and SentiTurca tasks are binary classification tasks to follow original GLUE conventions. In this repo, you can access the original star ratings if you want a challenge.

We benchmarked the transformer based model BERTurk on the binary classification task, this model achieved a 0.67 Matthews's correlation coefficient. More information can be found in the research paper and benchmarking code can be found under TrGLUE Github repo.

Citation

Coming soon!!