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README.md

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+---
+language:
+- en
+tasks:
+- No-reference Image Quality Assessment
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: score
+    dtype: float32
+  splits:
+  - name: train
+    num_bytes: 1769658375.0
+    num_examples: 3000
+  download_size: 1500564042
+  dataset_size: 1769658375.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+# TID2013 Image Quality Assessment Dataset
+
+This repository contains the TID2013 (Tampere Image Database 2013) dataset for image quality assessment research.
+
+## Dataset Description
+
+TID2013 consists of:
+- 25 reference images
+- 3000 distorted images (25 reference images x 24 types of distortions x 5 levels of distortions)
+
+## Contents
+
+- `distorted_images/`: Folder containing 3000 distorted images
+- `reference_images/`: Folder containing 25 reference images
+- `mos_with_names.txt`: Mean Opinion Scores (MOS) for each image
+
+## Usage
+
+To load the dataset, use the following code:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("xmba15/TID2013")
+```
+
+## Acknowledgement
+
+When using this dataset, please cite the original paper:
+
+```
+Ponomarenko, Nikolay, et al. "Image database TID2013: Peculiarities, results and perspectives." Signal processing: Image communication 30 (2015): 57-77.
+```

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