---
license: mit
dataset_info:
  features:
  - name: chosen
    dtype: string
  - name: rejected
    dtype: string
  - name: prompt
    dtype: string
  splits:
  - name: train
    num_bytes: 15567399
    num_examples: 9761
  - name: test
    num_bytes: 1761266
    num_examples: 1085
  download_size: 10108040
  dataset_size: 17328665
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- text-generation
language:
- tr
size_categories:
- 10K<n<100K
---

Original dataset: [malhajar/orca_dpo_pairs-tr](https://huggingface.co/datasets/malhajar/orca_dpo_pairs-tr)

# Dataset Card for "suayptalha/Turkish-DPO-Pairs"

This Dataset is part of a series of datasets aimed at advancing Turkish LLM Developments by establishing rigid Turkish dataset collection to enhance the performance of LLM's Produced in the Turkish Language.
suayptalha/Turkish-DPO-Pairs is the processed version where only the content of messages with the role as "assistant" is extracted from both the chosen and rejected fields of malhajar/orca_dpo_pairs-tr which is a translated version of [`HuggingFaceH4/orca_dpo_pairs`]( https://huggingface.co/datasets/HuggingFaceH4/orca_dpo_pairs)

### Dataset Summary

This is a pre-processed version of the [OpenOrca dataset](https://huggingface.co/datasets/Open-Orca/OpenOrca) translated to Turkish.

The original OpenOrca dataset is a collection of augmented FLAN data that aligns, as best as possible, with the distributions outlined in the [Orca paper](https://arxiv.org/abs/2306.02707).
It has been instrumental in generating high-performing preference-tuned model checkpoints and serves as a valuable resource for all NLP researchers and developers!


# Dataset Summary

The OrcaDPO Pair dataset is a subset of the OpenOrca dataset suitable for DPO preference tuning.

### Usage

To load the dataset, run:

```python
from datasets import load_dataset

ds = load_dataset("suayptalha/Turkish-DPO-Pairs")
```


<a name="languages"></a>

# Languages

The language of the data is primarily Turkish.

<a name="dataset-structure"></a>

# Citation

```bibtex
@misc{OpenOrca,
  title = {OpenOrca: An Open Dataset of GPT Augmented FLAN Reasoning Traces},
  author = {Wing Lian and Bleys Goodson and Eugene Pentland and Austin Cook and Chanvichet Vong and "Teknium"},
  year = {2023},
  publisher = {HuggingFace},
  journal = {HuggingFace repository},
  howpublished = {\url{https://https://huggingface.co/Open-Orca/OpenOrca}},
}
```