---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: prompt
    dtype: string
  - name: label
    dtype: string
  splits:
  - name: docci_tr
    num_bytes: 94873943
    num_examples: 594
  - name: coco_qa_tr
    num_bytes: 1615948596.9
    num_examples: 9670
  - name: pixelprose_tr
    num_bytes: 1215500331.78
    num_examples: 9394
  - name: cc3m_tr
    num_bytes: 305301236
    num_examples: 4000
  - name: coco_od_tr
    num_bytes: 1159324801.52
    num_examples: 7996
  - name: fairface_tr
    num_bytes: 49660327.604
    num_examples: 3634
  download_size: 4433765155
  dataset_size: 4440609236.804001
configs:
- config_name: default
  data_files:
  - split: docci_tr
    path: data/docci_tr-*
  - split: coco_qa_tr
    path: data/coco_qa_tr-*
  - split: pixelprose_tr
    path: data/pixelprose_tr-*
  - split: cc3m_tr
    path: data/cc3m_tr-*
  - split: coco_od_tr
    path: data/coco_od_tr-*
  - split: fairface_tr
    path: data/fairface_tr-*
task_categories:
- image-to-text
- image-feature-extraction
- image-classification
- object-detection
language:
- tr
size_categories:
- 10K<n<100K
---

This is a Turkish multimodal (image-text-text triplets) dataset consisting of Turkish translated samples from the datasets [google/docci](https://huggingface.co/datasets/google/docci), [tomg-group-umd/pixelprose](https://huggingface.co/datasets/tomg-group-umd/pixelprose), [detection-datasets/coco](https://huggingface.co/datasets/detection-datasets/coco), [rafaelpadilla/coco2017](https://huggingface.co/datasets/rafaelpadilla/coco2017), [liuhaotian/LLaVA-Instruct-150K](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K), [liuhaotian/LLaVA-CC3M-Pretrain-595K](https://huggingface.co/datasets/liuhaotian/LLaVA-CC3M-Pretrain-595K), and [HuggingFaceM4/FairFace](https://huggingface.co/datasets/HuggingFaceM4/FairFace).
The labels are in Turkish and the dataset is in an instruction-tuning format with separate columns for prompts and completion labels.
The original labels (except liuhaotian/LLaVA-Instruct-150K) are translated using [google/gemma-2-9b-it](https://huggingface.co/CohereForAI/gemma-2-9b-it).
For liuhaotian/LLaVA-Instruct-150K, a much more powerful [google/gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) is used to construct question-answer pairs.


The license information of the datasets are given below:

| Dataset                                                                                                    | License       |
|------------------------------------------------------------------------------------------------------------|---------------|
| [google/docci](https://huggingface.co/datasets/google/docci)                                               | cc-by-4.0     |
| [tomg-group-umd/pixelprose](https://huggingface.co/datasets/tomg-group-umd/pixelprose)                     | cc-by-4.0     |
| [detection-datasets/coco](https://huggingface.co/datasets/detection-datasets/coco)                         | cc-by-4.0     |
| [rafaelpadilla/coco2017](https://huggingface.co/datasets/rafaelpadilla/coco2017)                           | cc-by-4.0     |
| [liuhaotian/LLaVA-Instruct-150K](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K)           | cc-by-4.0     |
| [liuhaotian/LLaVA-CC3M-Pretrain-595K](https://huggingface.co/datasets/liuhaotian/LLaVA-CC3M-Pretrain-595K) | CC3M*, BSD 3-Clause+ |
| [HuggingFaceM4/FairFace](https://huggingface.co/datasets/HuggingFaceM4/FairFace)                           | cc-by-4.0     |

```
*The dataset may be freely used for any purpose, although acknowledgement of Google LLC ("Google") as the data source would be appreciated. The dataset is provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
```
```
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