menesnas/SemanticTextualSimilarityDataset
Semantic Textual Similarity (STS) Dataset (Turkish) This repository contains a Turkish Semantic Textual Similarity (STS) dataset created as part of a university assignment on semantic similarity, sentence embeddings, and vector representations in Natural Language Processing (NLP). Authors Muhammet Enes Nas Salih Dede About The purpose of this project was to gain practical experience with: Semantic Textual Similarity (STS) Sentence Embeddings… See the full description on the dataset page: https://huggingface.co/datasets/menesnas/SemanticTextualSimilarityDataset.
Semantic Textual Similarity (STS) Dataset (Turkish)
This repository contains a Turkish Semantic Textual Similarity (STS) dataset created as part of a university assignment on semantic similarity, sentence embeddings, and vector representations in Natural Language Processing (NLP).
Authors
- Muhammet Enes Nas
- Salih Dede
About
The purpose of this project was to gain practical experience with:
- Semantic Textual Similarity (STS)
- Sentence Embeddings
- Vector Representations
- Similarity Scoring
- NLP Dataset Preparation
The dataset consists of Turkish sentence pairs annotated with a semantic similarity score ranging from 0 to 100, where:
Dataset Format
Each sample contains three fields:
Example:
{
"sentence1": "Doktor ameliyata geç kaldı.",
"sentence2": "Ameliyatı yapacak hekim gecikti.",
"humanScore": 97.85
}Intended Use
This dataset is intended for educational and research purposes, including:
- Sentence Embedding models
- Semantic Similarity prediction
- Siamese Networks
- SBERT fine-tuning
- Embedding evaluation
- NLP coursework
License
MIT License.
