Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
100K - 1M
Tags:
sentiment
License:
File size: 2,850 Bytes
0ffb5e7 2862286 0ffb5e7 2862286 0ffb5e7 2862286 0ffb5e7 06d83a5 e1e0d48 f5f2f04 e1e0d48 e0786cf e1e0d48 7579c67 e1e0d48 7579c67 e1e0d48 |
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---
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: MusteriYorumlari
tags:
- sentiment
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
0: 1_star
1: 2_star
2: 3_star
3: 4_star
4: 5_star
splits:
- name: train
num_bytes: 46979645
num_examples: 73920
- name: validation
num_bytes: 733500
num_examples: 15000
- name: test
num_bytes: 742661
num_examples: 15000
download_size: 58918801
data_files:
- split: train
path: data/train-*
- split: validation
path: data/valid-*
- split: test
path: data/test-*
---
# MüşteriYorumlari - A Large Scale Customer Sentiment Analysis Dataset for Turkish
<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/musteriyorumlarilogo.png" width="30%" height="30%">
## Dataset Summary
MüşteriYorumları is a Turkish e-commerce customer reviews dataset of size 103K, scraped from Hepsiburada.com and Trendyol.com. These reviews encompass a wide
array of product categories, including apparel, food items, baby products, and books. Review stars are in range of 1-5 stars.
The star distribution is as follows:
| star rating | count |
|---|---|
| 1 | 12,873 |
| 2 | 11,472 |
| 3 | 18,054 |
| 4 | 31,207 |
| 5 | 30,314 |
| total | 103,920 |
The star distribution is quite skewed towards 4+ reviews. For more information about dataset statistics, please refer to the [research paper]().
## Dataset Instances
An instance looks like:
```
{
"text": "SÜPEEEER KALİTE",
"label": 4 #5 stars
}
```
## Data Split
| name |train|validation|test|
|---------|----:|---:|---:|
|MüşteriYorumları Customer Reviews|73920|15000|15000|
## Benchmarking
This dataset is a part of [SentiTurca](https://huggingface.co/datasets/turkish-nlp-suite/SentiTurca) benchmark, in the benchmark the subset name is **e-commerce**, named according to the GLUE tasks.
Model benchmarking information can be found under SentiTurca HF repo and benchmarking scripts can be found under [SentiTurca Github repo](https://github.com/turkish-nlp-suite/SentiTurca).
For this dataset we benchmarked a transformer based model BERTurk and a handful of LLMs. Success of each model is follows:
| Model | acc./F1 |
|---|---|
| Gemini 1.0 Pro | 1.0/1.0 |
| GPT-4 Turbo | 0.64/0.63 |
| Claude 3 Sonnet | 0.57/0.53 |
| Llama 3 70B | 0.58/0.55 |
| Qwen2-72B | 0.53/0.50 |
| BERTurk | 0.66/0.64 |
For a critique of the results, misclassified instances and more please consult to the [research paper]().
## Citation
Coming soon!!
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