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README.md

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+---
+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}
+}
+```

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