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---
language:
- en
---
# WebOrganizer/FormatAnnotations-Llama-3.1-8B
[[Paper](https://arxiv.org/abs/2502.10341)] [[Website](https://weborganizer.allenai.org)] [[GitHub](https://github.com/CodeCreator/WebOrganizer)]
This dataset contains 1M web pages annotated with format/type labels by the Llama-3.1-8B model. The web pages are a sample of the DCLM RefinedWeb reproduction. It is used as first-stage training data for the [WebOrganizer/FormatClassifier](https://huggingface.co/WebOrganizer/FormatClassifier).
## Dataset Structure
Each example contains the following fields:
- `text`: The text content of the web page
- `url`: The URL of the web page
- `top_choice_index`: Index of the most likely format label
- `top_choice`: The most likely format label (using the description in the [taxonomy config](https://github.com/CodeCreator/WebOrganizer/blob/main/define_domains/taxonomies/formats.yaml))
- `top_choice_prob`: Probability of the most likely format
- `choice_probs`: Probabilities for all possible format choices
- `choice_loss`: Average log-likelihood of the answers
- `metadata`: Additional metadata from the source dataset
- `label_permutation`: Permutation used for the label ordering during prompting
- `fewshot_permutation`: Permutation used for few-shot demonstration examples during prompting
## Citation
```bibtex
@article{wettig2025organize,
title={Organize the Web: Constructing Domains Enhances Pre-Training Data Curation},
author={Alexander Wettig and Kyle Lo and Sewon Min and Hannaneh Hajishirzi and Danqi Chen and Luca Soldaini},
journal={arXiv preprint arXiv:2502.10341},
year={2025}
}
``` |