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Open Datasets
Midjourney Messages
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Midjourney Messages

A massive data set containing the textual exchanges of Midjourney users. Perfect for modeling creative dialogues and the evolution of AI communities.

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Size

55 million text messages, JSON format

Licence

Apache 2.0

Description

The dataset Midjourney Messages includes more than 55 million raw messages collected from the Midjourney platform. These are textual exchanges between users, linked to the generation of images by AI and to visual creativity. Messages are useful for understanding human interactions in creative and community contexts.

What is this dataset for?

  • Train text generation models or conversational AI assistants
  • Analyzing social dynamics in an artistic community
  • Study typical queries and formulations in the field of AI image generation

Can it be enriched or improved?

Yes, this corpus can be cleaned, enriched by thematic annotations (type of request, tone, intention), or filtered by period or popularity of the messages. It is also relevant for detecting creative trends in early AIs.

🔎 In summary

Criterion Evaluation
🧩 Ease of use⭐⭐⭐✩✩ (Raw format requiring preprocessing)
🧼 Need for cleaning⭐⭐✩✩✩ (High: noise removal, filtering useful)
🏷️ Annotation richness⭐✩✩✩✩ (No native annotations – needs enrichment)
📜 Commercial license✅ Yes (Apache 2.0)
👨‍💻 Beginner friendly⚠️ Rather no – large volume to handle carefully
🔁 Fine-tuning ready✅ Excellent base for training dialogue models
🌍 Cultural diversity🎨 High diversity of expressions related to creative uses

🧠 Recommended for

  • NLP researchers
  • Chatbot projects
  • Social analysis of AI communities

🔧 Compatible tools

  • Hugging Face Transformers
  • LangChain
  • Pytorch
  • SpacY

💡 Tip

For best results, filter messages by structure or length before training or analyzing.

Frequently Asked Questions

Does the dataset include prompts to generate images?

Yes, many messages are typical requests for Midjourney to generate visuals via AI.

Is it ready to use for model training?

Not directly: cleaning and selecting useful messages will be required before effective fine-tuning.

Is this corpus multilingual?

It is mostly in English, but probably contains multi-lingual elements on a small scale, to be detected automatically.

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