task_categories:
- text2text-generation
- sentence-similarity
language:
- fa
pretty_name: 'FarSSiM: A Farsi (Persian) Semantic Similarity Measurement Dataset'
size_categories:
- 1K<n<10K
FarSSiM: Persian Sentence Similarity Dataset
This repository hosts the Persian Sentence Similarity dataset, originally created and maintained by Mojtaba Sajjadi under the FarSSiM repository. All credits for the creation, curation, and publication of this dataset go to Mojtaba Sajjadi.
Dataset Overview
FarSSiM is a high-quality Persian dataset focused on sentence similarity tasks. The dataset contains pairs of Persian sentences along with similarity scores, making it suitable for tasks such as:
- Semantic textual similarity (STS)
- Natural language inference (NLI)
- Paraphrase detection
This dataset can be a valuable resource for researchers and practitioners working on Persian NLP or multilingual NLP tasks.
Dataset Structure
Each sample in the dataset consists of:
sentence1: The first sentence in Persian.sentence2: The second sentence in Persian.similarity_score: A numeric score representing the similarity between the two sentences.
The similarity scores are typically normalized between 0 and 1, where 1 indicates high similarity and 0 indicates no similarity.
File Structure
The dataset is provided in CSV format and includes the following columns:
| Column Name | Description |
|---|---|
sentence1 |
The first Persian sentence. |
sentence2 |
The second Persian sentence. |
similarity_score |
Similarity score between sentence1 and sentence2. |
Installation and Usage
This dataset is available on the Hugging Face Hub and can be loaded using the datasets library:
from datasets import load_dataset
# Load the FarSSiM dataset
farssim = load_dataset("AlirezaF138/FarSSiM")
# Access the training split
print(farssim["train"][0])
Citation
If you use this dataset in your research, please cite the original repository:
@misc{sajjadi2023farssim,
author = {Mojtaba Sajjadi},
title = {FarSSiM: Persian Sentence Similarity Dataset},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/mojtabasajjadi/FarSSiM}}
}
License
Please refer to the original repository for licensing information. Ensure compliance with the original license terms when using this dataset.
Credits
This dataset was originally created and maintained by Mojtaba Sajjadi. This repository simply rehosts the dataset for ease of access and integration into the Hugging Face ecosystem.