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Datasets:
ROSCOSMOS
/
Midjourney-Sparse-Location-Prompts

Modalities:
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
text
prompts
midjourney
image-generation
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
Midjourney-Sparse-Location-Prompts
File size: 1,987 Bytes
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---
pretty_name: Midjourney Sparse Prompts
language:
- en
size_categories:
- 100K<n<1M
tags:
- text
- prompts
- midjourney
- image-generation
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-00000-of-00001.parquet
license: mit
---

# Midjourney Sparse Prompts

461,489 unique English-language location prompt strings, each derived from combinations of Magic: The Gathering (MTG) card concepts.

Kept purposely sparse, these prompts can be used as-is for exploratory image generation with Midjourney and any other image-generation model, or as grounded semantic anchors for VLMs and LLMs.

## Example outputs from Midjourney

| | | |
|:---:|:---:|:---:|
| ![Midjourney example 1](https://huggingface.co/datasets/ROSCOSMOS/Midjourney-Sparse-Prompts/resolve/main/examples/mj_01.jpg) | ![Midjourney example 2](https://huggingface.co/datasets/ROSCOSMOS/Midjourney-Sparse-Prompts/resolve/main/examples/mj_02.jpg) | ![Midjourney example 3](https://huggingface.co/datasets/ROSCOSMOS/Midjourney-Sparse-Prompts/resolve/main/examples/mj_03.jpg) |
| Profile: `--profile lq7svk6` | Profile: `--profile 11qmvhf` | Profile: `--profile lw7si37` |
| ![Midjourney example 4](https://huggingface.co/datasets/ROSCOSMOS/Midjourney-Sparse-Prompts/resolve/main/examples/mj_04.jpg) | ![Midjourney example 5](https://huggingface.co/datasets/ROSCOSMOS/Midjourney-Sparse-Prompts/resolve/main/examples/mj_05.jpg) | ![Midjourney example 6](https://huggingface.co/datasets/ROSCOSMOS/Midjourney-Sparse-Prompts/resolve/main/examples/mj_06.jpg) |
| Profile: `--profile mrpig6q` | Profile: `--profile mrpig6q` | Profile: `--profile 11qmvhf` |

## Dataset format

461,489 prompts in one `train` split, stored as Zstandard-compressed Parquet. Each row contains an `id` (64-bit integer) and a `prompt` (string). IDs range from `0` to `461488`, assigned in the original prompt order; preserve these IDs when filtering or reordering. The prompts retain their original ordering and wording.