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README.md

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----
-annotations_creators:
-- crowdsourced
-language:
-- tr
-language_creators:
-- crowdsourced
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-pretty_name: 'laion2B-multi-turkish-subset'
-size_categories:
-- 10M<n<100M
-task_categories:
-- text-to-image
-- image-to-text
----
-
-# Dataset Card for laion2B-multi-turkish-subset
-
-## Dataset Description
-
-- **Homepage:** [laion-5b](https://laion.ai/blog/laion-5b/)
-- **Huggingface:** [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi)
-- **Point of Contact:** [mcemilg](mailto:mcg@mcemilg.dev)
-
-### Dataset Summary
-
-[LAION-5B](https://laion.ai/blog/laion-5b/) is a large scale openly accessible image-text dataset contains text from multiple languages. This is a Turkish subset data of [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi). It's compatible to be used with [image2dataset](https://github.com/rom1504/img2dataset) to fetch the images at scale.
-
-
-### Data Structure
-
-```python
-DatasetDict({
-    train: Dataset({
-        features: ['SAMPLE_ID', 'URL', 'TEXT', 'HEIGHT', 'WIDTH', 'LICENSE', 'LANGUAGE', 'NSFW', 'similarity'],
-        num_rows: 34638627
-    })
-})
-```
-
-```python
-{
-   'SAMPLE_ID': Value(dtype='int64', id=None),
-   'URL': Value(dtype='string', id=None),
-   'TEXT': Value(dtype='string', id=None),
-   'HEIGHT': Value(dtype='int64', id=None),
-   'WIDTH': Value(dtype='int64', id=None),
-   'LICENSE': Value(dtype='string', id=None),
-   'LANGUAGE': Value(dtype='string', id=None),
-   'NSFW': Value(dtype='string', id=None),
-   'similarity': Value(dtype='float64', id=None)
-}
-```
-
-
-### Notes
-
-The data was basically processed to drop non-Turkish and irrelevant texts before published. Both [FastText](https://fasttext.cc/docs/en/language-identification.html) and [langdetect](https://pypi.org/project/langdetect/) libraries were used to identify if the text is Turkish or not. The cleaning process can be summarized as follows:
-
-- replace \"\"\" with empty str
-- remove URLs in texts
-- Drop if both FastText and LangDetect are highly confident with there is no Turkish in text.
-- Drop empty text fields.
-
-### License
-CC-BY-4.0
-
-
-

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