pkchwy/turkish-comprehensive-movie-series-dataset

Beyazperde Film & Series Dataset

This dataset contains a comprehensive collection of Turkish films and TV series from Beyazperde.com, including detailed information about movies, series, cast, reviews, and ratings.

Dataset Summary

• Total Movies: 27,227
• Total Series: 11,240
• Total Entries: 38,467
• File Size: ~222 MB
• Format: JSONL (JSON Lines)
• Language: Turkish
• Source: Beyazperde.com

Data Structure

Each line in the JSONL file contains a JSON object with either a movie or series:

Movie Example

{
  "id": "268495",
  "title": "Deccal 3",
  "url": "https://www.beyazperde.com/filmler/film-268495/",
  "type": "movie",
  "poster_url": "https://tr.web.img3.acsta.net/c_310_420/commons/v9/common/empty/empty_portrait.png",
  "genres": ["Korku", "Gerilim"],
  "detailed_synopsis": "Korku ve gerilim türündeki Deccal serisinin devam halkası...",
  "director": "Director Name",
  "cast": ["Actor 1", "Actor 2"],
  "duration": "120 min",
  "release_date": "2024",
  "rating": "7.5/10",
  "screenwriter": "Writer Name",
  "beyazperde_review_title": "Review Title",
  "beyazperde_review_text": "Review content...",
  "beyazperde_review_score": "8/10",
  "beyazperde_review_author": "Reviewer Name"
}

Series Example

{
  "id": "5063",
  "title": "The Teenage mutant ninja turtles 2003",
  "url": "https://www.beyazperde.com/diziler/dizi-5063/",
  "type": "series",
  "poster_url": "https://tr.web.img4.acsta.net/c_310_420/medias/nmedia/18/69/07/58/18863307.jpg",
  "genres": ["Aksiyon", "Animasyon", "Komedi"],
  "episode_duration": "24 Dak.",
  "detailed_synopsis": "Series description...",
  "creator": "Creator Name",
  "total_seasons": "4"
}

Data Fields

Common Fields (100% coverage)

Field	Type	Description
id	string	Unique ID
title	string	Title
url	string	Beyazperde page URL
type	string	"movie" or "series"
poster_url	string	Poster image URL
genres	array	Genres

Movie-Specific Fields

Field	Type	Coverage	Description
detailed_synopsis	string	91.4%	Plot summary
director	string	93.3%	Director name
cast	array	96.0%	Actor names
duration	string	87.5%	Movie duration
release_date	string	33.7%	Release date
rating	string	16.7%	User rating
screenwriter	string	89.1%	Screenwriter
beyazperde_review_*	string	15-17%	Official reviews

Series-Specific Fields

Field	Type	Coverage	Description
episode_duration	string	83.4%	Episode duration
detailed_synopsis	string	37.3%	Series description
creator	string	33.2%	Series creator
total_seasons	string	37.1%	Number of seasons

Usage

Loading with Hugging Face Datasets

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("json", data_files="dataset.jsonl")

# Access the data
print(f"Total entries: {len(dataset['train'])}")
print(f"First entry: {dataset['train'][0]}")

# Filter by type
movies = dataset['train'].filter(lambda x: x['type'] == 'movie')
series = dataset['train'].filter(lambda x: x['type'] == 'series')

print(f"Movies: {len(movies)}")
print(f"Series: {len(series)}")

Loading with Python

import json

# Loading JSONL file
data = []
with open('dataset.jsonl', 'r', encoding='utf-8') as f:
    for line in f:
        data.append(json.loads(line))

print(f"Loaded {len(data)} entries")
print(f"First entry: {data[0]['title']}")

Analysis with Pandas

import pandas as pd
import json

# Load JSONL file
data = []
with open('dataset.jsonl', 'r', encoding='utf-8') as f:
    for line in f:
        data.append(json.loads(line))

df = pd.DataFrame(data)

# Basic statistics
print(f"Total entries: {len(df)}")
print(f"Movies: {len(df[df['type'] == 'movie'])}")
print(f"Series: {len(df[df['type'] == 'series'])}")

# Genre analysis
all_genres = []
for genres in df['genres'].dropna():
    if isinstance(genres, list):
        all_genres.extend(genres)

genre_counts = pd.Series(all_genres).value_counts()
print(f"Most popular genres: {genre_counts.head()}")

Advanced Filtering

# Filter horror movies
horror_movies = dataset['train'].filter(
    lambda x: x['type'] == 'movie' and 
    'Korku' in x.get('genres', [])
)

# Filter recent movies (with release date)
recent_movies = dataset['train'].filter(
    lambda x: x['type'] == 'movie' and 
    x.get('release_date', '').isdigit() and 
    int(x['release_date']) >= 2020
)

# Filter movies with reviews
reviewed_movies = dataset['train'].filter(
    lambda x: x['type'] == 'movie' and 
    x.get('beyazperde_review_text', '') != ''
)

Use Cases

This dataset can be used for:

🎬 Turkish Content Recommendation Systems

• Collaborative filtering based on Turkish user preferences
• Content-based recommendation (genre, director, actor similarity)
• Cross-language recommendation systems

📝 Natural Language Processing (Turkish)

• Sentiment analysis on Turkish film reviews
• Text classification (genre prediction from Turkish synopsis)
• Turkish text generation and summarization

📊 Turkish Film Industry Analysis

• Turkish cinema trend analysis
• Director and actor popularity in Turkey
• Genre distribution in Turkish media
• TV series vs movie popularity analysis

🌍 Multilingual Applications

• Turkish-English content matching
• Cross-cultural recommendation systems
• International content localization

Data Quality

• Missing Data: Some entries may lack synopsis, cast, or review information
• Language: Primarily Turkish content with some English titles
• Time Range: Films and series from various years
• Scope: Popular Turkish and international content on Beyazperde platform
• Reviews: Official Beyazperde reviews available for ~17% of movies

Ethical Use and Limitations

• This dataset consists of publicly available Beyazperde.com data
• Contains no personal information
• Check Beyazperde terms of service before commercial use
• Possible sampling bias (popular content weighted)
• Respect Turkish content creators' rights

Citation

If you use this dataset in your research or projects, please cite it as:

@dataset{beyazperde_film_series_dataset_2025,
  title={Turkish Film & Series Dataset},
  author={Salih Mert Canseven},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/pkchwy/turkish-comprehensive-movie-series-dataset}
}

Or in text format:

Salih Mert Canseven. (2025). Beyazperde Film & Series Dataset. Hugging Face. https://huggingface.co/datasets/pkchwy/turkish-comprehensive-movie-series-dataset

License

MIT License - Free for educational and research purposes. Citation required for any use.

Contact

For questions about the dataset, please use GitHub Issues.

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Source: Beyazperde.com Last Updated: August 2025