README.md

metadata

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, using a synthetic seismic dataset generator called Synthoseis.

• 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

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.

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 [email protected] for questions, comments, or concerns about this model.