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---
license: apache-2.0
language:
- tr
tags:
- agriculture
- farming
size_categories:
- 10K<n<100K
---
# Dataset Card for Turkish_Agriculture_QA
This dataset contains question-answer pairs related to agriculture in Turkish. It has been translated and curated to fit the requirements for fine-tuning large language models such as LLaMA-2.
## Dataset Details
### Dataset Description
The **Turkish_Agriculture_QA** dataset contains a total of **22,615 question-answer pairs** related to various aspects of agriculture. The dataset was originally curated from an English dataset and has been translated and cleaned to support machine learning and fine-tuning tasks, specifically designed for **LLaMA-2** models.
- **Curated by:** Fevzi KILAS (niexche)
- **Language(s) (NLP):** Turkish
- **License:** Apache 2.0
### Dataset Sources
- **Repository:** [Agriculture QA Dataset (English)](https://huggingface.co/datasets/KisanVaani/agriculture-qa-english-only)
- **Original Curation:** Mohammed Ashraf
## Uses
### Direct Use
The dataset is intended for agricultural analysis and machine learning model training. It is well-suited for training language models, such as **LLaMA-2**, to handle agriculture-related questions and answers in Turkish.
### Out-of-Scope Use
The dataset should not be used for any malicious intent, such as misinformation or biased decision-making processes.
## Dataset Structure
The dataset contains a total of **22,615 rows**, where each row represents a question-answer pair translated from English into Turkish. It has been pre-processed and cleaned for model fine-tuning purposes.
## Dataset Creation
### Curation Rationale
This dataset was created to provide Turkish language support for fine-tuning the **LLaMA-2** model with agriculture-related questions and answers. The original dataset was translated and adapted to meet this specific requirement.
### Source Data
#### Data Collection and Processing
The dataset was translated from its original English version into Turkish, then cleaned and formatted to match the requirements for training large language models such as **LLaMA-2**. No additional data collection was conducted for this dataset.
#### Who are the source data producers?
The original English dataset was curated by **Mohammed Ashraf** and published on Hugging Face.
## Bias, Risks, and Limitations
This dataset may contain biases based on the original English dataset or during the translation process. Users should be aware of potential limitations in the translations and ensure the dataset is appropriately used in its intended context.
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