---
language:
- en
license: cc-by-4.0
pretty_name: image-impeccable
---

# Dataset Card for Image Impeccable

## Dataset Description

This data was produced by ThinkOnward for the [Image Impeccable Challenge](https://thinkonward.com/app/c/challenges/image-impeccable), using a synthetic seismic dataset generator called [Synthoseis](https://github.com/sede-open/synthoseis).

![image](src_imgs/ii.png)

- **Created by:** Mike McIntire and Jesse Pisel
- **License:** CC 4.0

## Uses

### How to generate a dataset

This dataset is provided as paired noisy and clean seismic volumes. Follow the following step to load the data to `numpy` volumes

```python
import pandas as pd
import numpy as np
def parquet2array(parquet_file, original_shape=(1259,300,300)):
    df = pd.read_parquet(parquet_file)
    data_only = df.drop(columns=['Row', 'Col'])
    # Convert the DataFrame back to a 2D numpy array
    reshaped_array = data_only.values
    # Reshape the 2D array back into a 3D array
    array = reshaped_array.reshape(original_shape)
    return array
```

## Dataset Structure

- train (250 paired noisy and clean volumes)
    - 42570686
      - seismicCubes_RFC_fullstack_2024.42570686.parquet
      - seismic_w_noise_vol_42570686.parquet
    - 42576639
      - seismicCubes_RFC_fullstack_2024.42576639.parquet
      - seismic_w_noise_vol_42576639.parquet
    - ...

- test (15 noisy volumes)
    - 2024-06-10_0d6402b1
      - seismic_w_noise_vol_44319345.parquet
    - 2024-06-10_1a4e5680
      - seismic_w_noise_vol_44319272.parquet
    - ...
    - 2024-06-11_f46c20fe
      - seismic_w_noise_vol_44399957.npy

## Dataset Creation

### Source Data

This data was produced by ThinkOnward for the Image Impeccable Challenge, using a synthetic seismic dataset generator called [Synthoseis](https://github.com/sede-open/synthoseis).

#### Who are the source data producers?

The data is provided as paired noisy and clean seismic volumes.

### Recommendations

This is a synthetically generated dataset, and differs from real-world seismic data. It is recommended that this dataset be used for research purposes only.

## Citation

**BibTeX:**

@misc {thinkonward_2025,
	author       = { {ThinkOnward} },
	title        = {  },
	year         = 2025,
	url          = { https://huggingface.co/datasets/thinkonward/image-impeccable },
	doi          = {  },
	publisher    = { Hugging Face }
}

## Dataset Card Contact

Please contact `challenges@thinkonward.com` for questions, comments, or concerns about this model.