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README.md

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+---
+annotations_creators:
+- machine-generated
+language_creators:
+- found
+languages: []
+licenses:
+- other-academic-use
+multilinguality:
+- monolingual
+pretty_name: Set5
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- other
+task_ids:
+- other-other-image-super-resolution
+---
+
+# Dataset Card for Set5
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage**: http://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html
+- **Repository**: https://huggingface.co/datasets/eugenesiow/Set5
+- **Paper**: http://people.rennes.inria.fr/Aline.Roumy/publi/12bmvc_Bevilacqua_lowComplexitySR.pdf
+- **Leaderboard**: https://github.com/eugenesiow/super-image#scale-x2
+
+### Dataset Summary
+
+Set5 is a evaluation dataset with 5 RGB images for the image super resolution task. The 5 images of the dataset are (“baby”, “bird”, “butterfly”, “head”, “woman”).
+
+Install with `pip`:
+```bash
+pip install datasets super-image
+```
+
+Evaluate a model with the [`super-image`](https://github.com/eugenesiow/super-image) library:
+```python
+from datasets import load_dataset
+from super_image import EdsrModel
+from super_image.data import EvalDataset, EvalMetrics
+
+dataset = load_dataset('eugenesiow/Set5', 'bicubic_x2', split='validation')
+eval_dataset = EvalDataset(dataset)
+model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)
+EvalMetrics().evaluate(model, eval_dataset)
+```
+
+### Supported Tasks and Leaderboards
+
+The dataset is commonly used for evaluation of the `image-super-resolution` task.
+
+Unofficial [`super-image`](https://github.com/eugenesiow/super-image) leaderboard for:
+- [Scale 2](https://github.com/eugenesiow/super-image#scale-x2)
+- [Scale 3](https://github.com/eugenesiow/super-image#scale-x3)
+- [Scale 4](https://github.com/eugenesiow/super-image#scale-x4)
+- [Scale 8](https://github.com/eugenesiow/super-image#scale-x8)
+
+### Languages
+
+Not applicable.
+
+## Dataset Structure
+
+### Data Instances
+
+An example of `validation` for `bicubic_x2` looks as follows.
+```
+{
+    "hr": "/.cache/huggingface/datasets/downloads/extracted/Set5_HR/baby.png",
+    "lr": "/.cache/huggingface/datasets/downloads/extracted/Set5_LR_x2/baby.png"
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `hr`: a `string` to the path of the High Resolution (HR) `.png` image.
+- `lr`: a `string` to the path of the Low Resolution (LR) `.png` image.
+
+### Data Splits
+
+| name  |validation|
+|-------|---:|
+|bicubic_x2|5|
+|bicubic_x3|5|
+|bicubic_x4|5|
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+No annotations.
+
+#### Who are the annotators?
+
+No annotators.
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+- **Original Authors**: [Bevilacqua et al.](http://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html)
+
+### Licensing Information
+
+Unknown.
+
+### Citation Information
+
+```bibtex
+@article{bevilacqua2012low,
+  title={Low-complexity single-image super-resolution based on nonnegative neighbor embedding},
+  author={Bevilacqua, Marco and Roumy, Aline and Guillemot, Christine and Alberi-Morel, Marie Line},
+  year={2012},
+  publisher={BMVA press}
+}
+```
+
+### Contributions
+
+Thanks to [@eugenesiow](https://github.com/eugenesiow) for adding this dataset.

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