Datasets:
File size: 2,061 Bytes
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---
language:
- eu
license: cc-by-4.0
size_categories:
- 100K<n<1M
task_categories:
- image-to-text
pretty_name: LAION-eus
dataset_info:
features:
- name: url
dtype: string
- name: similarity
dtype: float64
- name: hash
dtype: int64
- name: pwatermark
dtype: float32
- name: punsafe
dtype: float32
- name: lang_laion
dtype: string
- name: caption
dtype: string
- name: key
dtype: string
- name: status
dtype: string
- name: error_message
dtype: string
- name: width
dtype: int32
- name: height
dtype: int32
- name: original_width
dtype: int32
- name: original_height
dtype: int32
- name: exif
dtype: string
- name: md5
dtype: string
- name: lang
dtype: string
- name: lang_prob
dtype: float64
splits:
- name: train
num_bytes: 89834102
num_examples: 221376
download_size: 50506034
dataset_size: 89834102
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
This dataset contains a subset of [laion/relaion2B-multi-research](https://huggingface.co/datasets/laion/relaion2B-multi-research) where captions are written in Basque. Although language is already detected for its captions, we used another language detector [Mike0307/multilingual-e5-language-detection](https://huggingface.co/Mike0307/multilingual-e5-language-detection) and a high certainty threshold (p > 0.98) to better filter the instances in Basque.
Apart from the same attributes found in `laion/relaion2B-multi-research`, we add the following to each instance.
* "lang_laion": language originally detected by the classifier used in `laion/relaion2B-multi-research`.
* "lang": language detected by `Mike0307/multilingual-e5-language-detection`. This is always 'Basque'.
* "lang_prob": probability of the caption to be written in Basque given by `Mike0307/multilingual-e5-language-detection`.
In order to load the dataset, run the following code:
```
from datasets import load_dataset
dataset = load_dataset("HiTZ/laion-eus")
``` |