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README.md
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> **Raw CommonCrawl crawls, annotated with potential Creative Commons license information**
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**The licensing information is extracted from the web pages based on whether they link to Creative Commons licenses but false positives may occur!** While further filtering based on the location type of the license should improve the precision (e.g. by removing hyperlink (a_tag) references), false positives may still occur.
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## Usage
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- Spanish: spa
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## Recommendations
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- Raw CommonCrawl data is processed in an attempt to extract licensing information. No quality filtering is done!! It is **highly** recommended to filter this data further on quality, fluency, toxicity, etc.
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- Similarly, the data has **not been deduplicated**.
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- Unsurpisingly, the data contains a lot of Wikipedia/Wikimedia content. Depending on what you need, you may wish to filter those out. For Wikipedia specifically, you may opt to use the more thoroughly parsed (but potentially more outdated) [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) set.
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- In exceptional cases, a link to creativecommons.org is found but the exact license could not be found. These are under `license_abbr="cc-unknown"` which you may wish to filter out.
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## Citation
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```bibtex
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> **Raw CommonCrawl crawls, annotated with potential Creative Commons license information**
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**The licensing information is extracted from the web pages based on whether they link to Creative Commons licenses but false positives may occur!** While further filtering based on the location type of the license should improve the precision (e.g. by removing hyperlink (a_tag) references), false positives may still occur. **See Recommendations and Caveats below!**
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## Usage
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- Spanish: spa
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## Recommendations and Caveats
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- Raw CommonCrawl data is processed in an attempt to extract licensing information. No quality filtering is done!! It is **highly** recommended to filter this data further on quality, fluency, toxicity, etc.
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- Similarly, the data has **not been deduplicated**.
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- Unsurpisingly, the data contains a lot of Wikipedia/Wikimedia content. Depending on what you need, you may wish to filter those out. For Wikipedia specifically, you may opt to use the more thoroughly parsed (but potentially more outdated) [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) set.
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- In exceptional cases, a link to creativecommons.org is found but the exact license could not be found. These are under `license_abbr="cc-unknown"` which you may wish to filter out.
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Recommendation:
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```python
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from datasets import load_dataset
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-2019-30", split="train")
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ds = ds.filter(
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lambda x: (
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(not x["license_disagreement"]) and # Only use pages with a consistent license
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(x["found_in_fw2"] or x["language"] == "eng") and # Only use pages that are in FineWeb-2 (non-English) or English
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"nc" not in x["license_abbr"] and # Exclude non-commercial licenses
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x["license_abbr"] != "cc-unknown" and # Exclude unknown licenses
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"wiki" not in x["url"] # Exclude Wiki-like pages (best to get those from a more reliable parser)
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),
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num_proc=96
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)
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```
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## Citation
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```bibtex
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