Datasets:
| dataset_info: | |
| features: | |
| - name: instruction | |
| dtype: string | |
| - name: input_image | |
| dtype: image | |
| - name: ground_truth_image | |
| dtype: image | |
| splits: | |
| - name: train | |
| num_bytes: 3463030772.619 | |
| num_examples: 1917 | |
| download_size: 3528678684 | |
| dataset_size: 3463030772.619 | |
| task_categories: | |
| - image-to-image | |
| language: | |
| - en | |
| size_categories: | |
| - 1K<n<10K | |
| # Instruction-prompted low-level image processing dataset | |
| To construct this dataset, we took different number of samples from the following datasets for each task and constructed | |
| a single dataset with prompts added like so: | |
| | **Task** | **Prompt** | **Dataset** | **Number of samples** | | |
| |---|---|---|---| | |
| | Deblurring | “deblur the blurry image” | REDS (train_blur and<br> train_sharp) | 1200 | | |
| | Deraining | “derain the image” | Rain13k | 686 | | |
| | Denoising | “denoise the noisy image” | SIDD | 8 | | |
| | Low-light <br>image enhancement | "enhance the low-light image” | LOL | 23 | | |
| To know more about how this sampling was performed, refer to [this notebook](https://huggingface.co/datasets/instruction-tuning-sd/low-level-image-proc/blob/main/data_preparation/sample_dataset.ipynb).This notebook outputs a CSV file which was then used for generating the final version of the dataset ([notebook](https://huggingface.co/datasets/instruction-tuning-sd/low-level-image-proc/blob/main/data_preparation/final_data_preparation.ipynb)). | |
| ## Known limitations and biases | |
| Since this dataset was derived from various datasets, as mentioned above, it inherits their limitations and biases as well. | |
| ## Licensing | |
| Since this dataset was derived from various datasets, as mentioned above, it inherits the licensing policies of those datasets. |