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NullvoidXO/elegoo-resin-printing-v1

Elegoo Resin Printing Dataset v1 A specialized dataset for fine-tuning language models on 3D resin printing with Elegoo printers. Description This dataset contains training examples for building AI assistants that can: Recommend optimal slicer settings (exposure, lift speed, layer height) for specific printer/resin combinations Diagnose print failures and provide actionable fixes Generate ChiTuBox/Lychee slicer configuration files Dataset Composition… See the full description on the dataset page: https://huggingface.co/datasets/NullvoidXO/elegoo-resin-printing-v1.

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Dataset Card

Elegoo Resin Printing Dataset v1

A specialized dataset for fine-tuning language models on 3D resin printing with Elegoo printers.

Description

This dataset contains training examples for building AI assistants that can:

  • —Recommend optimal slicer settings (exposure, lift speed, layer height) for specific printer/resin combinations
  • —Diagnose print failures and provide actionable fixes
  • —Generate ChiTuBox/Lychee slicer configuration files

Dataset Composition

SourceCountDescription
Synthetic (settings)2,447Slicer settings recommendations grounded in scraped docs
Synthetic (diagnosis)2,435Failure diagnosis Q&A
Synthetic (config)2,393Slicer config file generation (ChiTuBox/Lychee)
Synthetic (Mercury)143Wash/cure station diagnosis (Mercury Plus V2 focus)
Real Q&A109StackExchange resin printing questions
Doc chunks344Converted documentation excerpts
Total7,869

Priority Coverage

A special focus was applied to two of the most commonly used products:

  • —Mars 4 Ultra: 3x weight in synthetic generation (~18% of printer mentions)
  • —Mercury Plus V2: 150 diagnosis examples (wash/cure failures)

Format

Conversational format compatible with SFT training:

### Human:
{instruction/input}

### Assistant:
{output}

Intended Use

Fine-tuning language models (e.g., Qwen3.5-9B, Llama 3.1 8B) for:

  • —Resin printing assistance
  • —Slicer settings optimization
  • —Print failure diagnosis

Data Sources

Scraped (used for grounding)

  • —Elegoo Wiki (wiki.elegoo.com)
  • —ChiTuBox Documentation (docs.chitubox.com)
  • —Lychee/Mango3D Documentation (docs.mango3d.io)
  • —3DPrinting StackExchange (via HuggingFace dataset)

Synthetic Generation

Generated using Ollama Cloud API (qwen3-coder-next:cloud) with doc-grounded prompting.

License

  • —Synthetic data: Apache 2.0
  • —Scraped documentation: Original licenses retained (Elegoo, ChiTuBox, Mango3D)
  • —StackExchange: CC BY-SA 4.0

Training Script

Compatible with standard SFT pipelines:

python
from datasets import load_dataset
from transformers import AutoTokenizer

dataset = load_dataset("your-username/elegoo-resin-printing-v1")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3.5-9B")

def tokenize(example):
    return tokenizer(example["text"], truncation=True, max_length=2048)

tokenized = dataset.map(tokenize)

Version History

  • —v1 (2026-04-17): Initial release, 7,869 examples
  • —Text-based V1 scope (settings, diagnosis, config)
  • —V2 features deferred (image-to-3D, YouTube transcripts)

Citation

bibtex
@dataset{elegoo-resin-printing-v1,
  author = {Your Name},
  title = {Elegoo Resin Printing Dataset v1},
  year = {2026},
  url = {https://huggingface.co/datasets/your-username/elegoo-resin-printing-v1}
}