---
license: cc-by-4.0
language:
- tr
- en
tags:
- turkish
- academic
- thesis
- nlp
- machine-learning
- information-retrieval
- higher-education
- university
- bilingual
- metadata
- large-scale-dataset
- parquet
- YOK
- YÖK
- tez
task_categories:
- text-classification
- text-retrieval
- summarization
- translation
pretty_name: Turkish Academic Theses Abstracts (TR/EN)
size_categories:
- 100K<n<1M
---

# 📚 Turkish Academic Theses Abstracts (TR/EN)

A large-scale **bilingual (Turkish–English)** collection of **abstracts** from Turkish academic theses (YÖK Ulusal Tez Merkezi).
This dataset focuses **only on abstracts**, provided in **Turkish (`abstract_tr`) and English (`abstract_en`)**, suitable for **summarization, translation, classification, and retrieval**.

- **Records:** ~650k abstracts (TR & EN)
- **Format:** Parquet (`.parquet`) — fast & analytics-friendly
- **Language:** 🇹🇷 Turkish + 🇬🇧 English (parallel abstracts when available)

> Note: This release contains **abstracts only**. Full texts are *not* included.

---

## 📐 Schema

Each row follows this structure (example keys and meaning):

| Column | Type | Description |
|---------------|--------|-------------|
| `tez_no` | integer | Thesis identifier (numeric code on YÖK; stable key) |
| `pdf_url` | string | Public handle page for the thesis PDF on YÖK (may require permissions/login for full text) |
| `title_tr` | string | Thesis title (Turkish) |
| `title_en` | string | Thesis title (English, if available) |
| `author` | string | Author’s full name |
| `advisor` | string | Advisor / supervisor (with title when present) |
| `location` | string | Institution path (university / institute / department / program) |
| `subject` | string | Subject area (often `TR = EN` format) |
| `index` | string | Index terms / keywords (often `TR = EN ; …`) |
| `status` | string | Thesis status (e.g., `Onaylandı`) |
| `degree` | string | Degree type (e.g., `Yüksek Lisans`, `Doktora`, ...) |
| `language` | string | Thesis language (`Türkçe`) |
| `year` | integer | Year of publication (e.g., `2016`) |
| `pages` | integer | Page count (numeric string; sometimes missing) |
| `abstract_tr` | string | Turkish abstract (may be empty for a subset) |
| `abstract_en` | string | English abstract (may be empty for a subset) |

> Some entries may miss the English or Turkish abstract; always check for null/empty values.

---

## 📦 File Format
- **Parquet (.parquet)** → optimized for analytics and ML pipelines
- Fast to load with pandas or Hugging Face datasets

---

## 🔍 Use Cases
- **Summarization** (TR-only or EN-only)
- **Translation** (TR↔EN; parallel abstracts)
- **Text Classification** (e.g., research area labels after your own weak/strong labeling)
- **Information Retrieval** (semantic search over abstracts; bilingual IR)

---

## 🚀 Example Usage

### Load the entire dataset

```python
from datasets import load_dataset

ds = load_dataset("umutertugrul/turkish-academic-theses-dataset")
print(ds)
```

### Load as a DataFrame (pandas)
```python
import pandas as pd

df = pd.read_parquet("tezler.parquet")
print(df.head())
```

### Load with filtering (e.g., theses from 2020)

```python
from datasets import load_dataset

ds = load_dataset("umutertugrul/turkish-academic-theses-dataset", split="train")
df = ds.to_pandas()
df_2020 = df[df["year"] == 2020]
print(df_2020.head())
```

---


## 📥 Citation
If you use this dataset in your research or project, please cite:

title = Turkish Academic Theses Abstracts (TR/EN)
author = Umut Ertuğrul Daşgın
url = https://huggingface.co/umutertugrul