| --- |
| license: cc-by-nc-sa-4.0 |
| language: |
| - en |
| pretty_name: WildAI |
| task_categories: |
| - text-generation |
| tags: |
| - ai-generated-text |
| - pretraining |
| - common-crawl |
| configs: |
| - config_name: human |
| data_files: |
| - split: train |
| path: human/*.parquet |
| default: true |
| - config_name: ai |
| data_files: |
| - split: train |
| path: ai/*.parquet |
| - config_name: mixed |
| data_files: |
| - split: train |
| path: mixed/*.parquet |
| - config_name: labels |
| data_files: |
| - split: train |
| path: labels/*.parquet |
| --- |
| |
| # WildAI |
|
|
| > **License: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).** The WildAI code, models and dataset are released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license: you may use and adapt them for non-commercial purposes, with attribution, and must share adaptations under the same license. |
|
|
| WildAI is a pool of English web documents from Common Crawl (2024 to mid-2026), each labeled by the Pangram AI-text |
| detector as human-written, AI-generated or mixed. It was assembled to build pretraining mixtures with a controlled share |
| of AI-generated text for [*How Much Is an AI Token Worth? Scaling Laws for Wild AI-Generated Web Text*](https://arxiv.org/abs/2609.40295). |
|
|
| **WildAI is not a natural sample of the web.** An EditLens detector preselected likely-AI documents, so AI text is far |
| more common in the pool than on the web; `selection` records why each document is in it. |
|
|
| ## Composition |
|
|
| | Config | Source | Documents | GPT-2 tokens | |
| |---|---|---:|---:| |
| | `human` | common_crawl | 4,177,080 | 2,640,869,930 | |
| | `human` | fineweb | 54,736,995 | 37,190,059,660 | |
| | `ai` | common_crawl | 1,490,771 | 1,677,945,232 | |
| | `ai` | fineweb | 31,050,180 | 32,198,690,948 | |
| | `mixed` | common_crawl | 262,131 | 312,479,785 | |
| | `mixed` | fineweb | 4,325,289 | 5,268,906,826 | |
| |
| ## Configs |
| |
| | Config | Contents | |
| |---|---| |
| | `human`, `ai`, `mixed` | Pool documents by Pangram label. | |
| | `labels` | Every pool document's metadata and labels, without text. | |
| |
| ## How it was built |
| |
| 1. **Collection.** Documents from the Hugging Face FineWeb v1.4.0 dumps CC-MAIN-2024-10 to CC-MAIN-2025-26 (`source = |
| fineweb`), and from WARC files of the crawls CC-MAIN-2025-30 to CC-MAIN-2026-25 processed with FineWeb's recipe in |
| DataTrove 0.2.0 (`source = common_crawl`). These crawls were processed from the first 2.6 % of each crawl's WARC files, without FineWeb's MinHash deduplication. |
| 2. **Preselection.** EditLens (`pangram/editlens_Llama-3.2-3B`, four buckets, mean over up to three 512-token windows) |
| labeled the collected documents. Documents in its two AI buckets and a crawl-matched draw from its human bucket |
| became candidates (`selection` = `editlens_ai`, `editlens_human`); its lightly-edited bucket was dropped. A |
| label-blind random draw from the 2026 crawls was labeled too (`selection = natural`). |
| 3. **Labeling.** Pangram labeled every candidate as Human, Mixed or AI (`pangram_label`), with the fractions of the text |
| classified AI, AI-assisted and human. Pangram 3.3.2 scored up to three disjoint 512-token windows of each document (the first, middle and last): a document is Human or AI only when every window agrees, and Mixed otherwise, and its fractions are the shares of its windows. |
| 4. **Topics and formats.** WebOrganizer's topic and format classifiers (`WebOrganizer/TopicClassifier`, |
| `WebOrganizer/FormatClassifier`) labeled each document. |
| 5. **Pools.** Documents were split by Pangram label and deduplicated by `id`. |
|
|
| ## Fields |
|
|
| `id` is the Common Crawl WARC-Record-ID. `token_count` counts GPT-2 tokens of the released text. `truncated` marks text |
| shorter than the page's extraction. `warc_path` is empty for documents taken from Hugging Face FineWeb (its `file_path`, |
| joined on `id`, gives it). Sorting a pool by `sampling_hash` gives its order: any prefix is a uniform sample. `pii_anonymized_after_labeling` marks rows whose e-mail or IP addresses were replaced |
| at release with FineWeb's placeholders, after the labels were computed on the original text. |
|
|
| ## Limitations |
|
|
| - Detector labels are not ground truth: Pangram makes errors, and Mixed documents are ambiguous. |
| - The pool over-represents AI text by design and covers only the crawl files that were processed. |
| - Deduplication is by document id; the same text can occur under different ids, across crawls. |
|
|
| ## Personal information and removal requests |
|
|
| Text went through FineWeb's anonymization of e-mail and IP addresses; other personal information may remain. To request |
| removal of content, contact the dataset maintainers through the Hugging Face discussion tab. |
|
|
| ## License |
|
|
| **License: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).** The WildAI code, models and dataset are released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license: you may use and adapt them for non-commercial purposes, with attribution, and must share adaptations under the same license. The full text is in `LICENSE`. The text comes from FineWeb (ODC-By 1.0) and Common Crawl, and remains subject to Common Crawl's terms of use. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{russell2026wildai, |
| title = {How Much Is an AI Token Worth? Scaling Laws for Wild AI-Generated Web Text}, |
| author = {Russell, Jenna and Glickenhaus, Ben and Thai, Katherine and Wieting, John and Iyyer, Mohit and Spero, Max and Emi, Bradley}, |
| journal = {arXiv preprint arXiv:2609.40295}, |
| year = {2026}, |
| url = {https://arxiv.org/abs/2609.40295} |
| } |
| ``` |
|
|
