Datasets:
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---
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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All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
* Neither the name of Salesforce.com nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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