---
dataset_info:
  features:
  - name: rank
    dtype: int64
  - name: domain
    dtype: large_string
  - name: out_weight
    dtype: int64
  - name: score
    dtype: float64
  - name: spamicity
    dtype: float64
  splits:
  - name: train
    num_bytes: 2794302006
    num_examples: 65973832
  download_size: 1902149524
  dataset_size: 2794302006
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
---

# Dataset Card for domain-resurrect-edges

This dataset contains link counts between domains on the Internet. The data is based on [CommonCrawl](https://commoncrawl.org).

See [mbrt/domain-resurrect-edges](https://huggingface.co/datasets/mbrt/domain-resurrect) for the companion dataset from which this was computed, and
the [Blog post](https://blog.mbrt.dev/posts/domain-resurrect/) on how this was done.

## Dataset Details

### Dataset Description

This dataset is a processed version of the [CommonCrawl September crawl](https://commoncrawl.org/blog/september-2025-crawl-archive-now-available).

Each row represents a domain name (more precisely, an eTLD+1 domain) on the Internet, along with the following information:

* `rank`: what is its position in the popularity ranking (lower is better).
* `domain`: the domain name.
* `out_weight`: how many outgoing links were found in it.
* `score`: the popularity score [0, 1], from which the ranking was set.
* `spamicity`: a measure of "spam mass", which roughly states how likely it is that by following some links in this domain we will end up in some spam site. Note that scores are not probabilities in this case, so a score of 1 doesn't imply certainty of spam, just that some arbitrary threshold of "spamicity" was reached.

Rows are sorted based on `rank` (more popular domains first).

- **Curated by:** [Michele Bertasi](https://mbrt.dev)
- **License:** MIT

### Dataset Source

- **Repository:** https://github.com/mbrt/domain-resurrect
- **Blog:** https://blog.mbrt.dev/posts/domain-resurrect/
- **Source data:** [CommonCrawl September crawl](https://commoncrawl.org/blog/september-2025-crawl-archive-now-available)