lenamerkli/distilled-web
Dataset Card for lenamerkli/distilled-web This dataset consists of web-scraped data using a custom crawler purpose-built for each website. Dataset Details Dataset Sources Repository: https://github.com/lenamerkli/distilled-web Uses This dataset is useful for training large language models. The train split provides instruction-following and chat data for supervised fine-tuning (SFT) and instruction tuning. The pretrain split… See the full description on the dataset page: https://huggingface.co/datasets/lenamerkli/distilled-web.
Dataset Card for lenamerkli/distilled-web
This dataset consists of web-scraped data using a custom crawler purpose-built for each website.
Dataset Details
Dataset Description
- Curated by: Lena Merkli
- Languages (NLP): Mostly English and German, also includes French and Italian
Dataset Sources
- Repository: https://github.com/lenamerkli/distilled-web
Uses
This dataset is useful for training large language models.
- The `train` split provides instruction-following and chat data for supervised fine-tuning (SFT) and instruction tuning.
- The `pretrain` split provides raw text for pretraining.
Use Recommendations
- Use the `train` split for instruction tuning or chat fine-tuning of a base model.
- Use the `pretrain` split for continued pretraining or domain adaptation on Minecraft / Create mod knowledge.
- The
ai_enhancedfield can be used to filter examples: set it toFalseto keep only original scraped content, orTrueto keep only AI-enhanced examples. - The
sourcefield records the original URL of each example for traceability and attribution.
Dataset Structure
Data Fields
The two splits have different schemas.
`train` split:
`pretrain` split:
Data Splits
Bias, Risks, and Limitations
- Web-scraped content: Web-scraped content may contain inaccuracies, outdated information, or vandalism that was not fully cleaned.
- AI-enhanced data: The AI-enhanced data may introduce hallucinations, stylistic biases, or factual errors. Filter with the
ai_enhancedfield when needed. - Language bias: The dataset is predominantly English and German, with limited coverage of other languages.
Citation
If you use this dataset, please cite it as:
@misc{merkli2026distilled-web,
author = {Merkli, Lena},
title = {LLMinstruct},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/lenamerkli/distilled-web}
}