Update README.md

README.md

@@ -24,7 +24,7 @@ language:
 - es
 configs:
 - config_name: v1
-  data_files: 
+  data_files:
   - data/CC-MAIN-2019-30/**/*.parquet
   - data/CC-MAIN-2020-05/**/*.parquet
   - data/CC-MAIN-2022-05/**/*.parquet
@@ -34,7 +34,6 @@ configs:
   - data/CC-MAIN-2025-05/**/*.parquet
 - config_name: default
   data_files: data/**/*.parquet
-# Languages
 - config_name: afr
   data_files: data/**/afr/*.parquet
 - config_name: deu
@@ -51,8 +50,6 @@ configs:
   data_files: data/**/ita/*.parquet
 - config_name: nld
   data_files: data/**/nld/*.parquet
-# Per-crawl
-# CC-MAIN-2019-30
 - config_name: CC-MAIN-2019-30
   data_files: data/CC-MAIN-2019-30/**/*.parquet
 - config_name: CC-MAIN-2019-30-afr
@@ -71,7 +68,6 @@ configs:
   data_files: data/CC-MAIN-2019-30/ita/*.parquet
 - config_name: CC-MAIN-2019-30-nld
   data_files: data/CC-MAIN-2019-30/nld/*.parquet
-# CC-MAIN-2020-05
 - config_name: CC-MAIN-2020-05
   data_files: data/CC-MAIN-2020-05/**/*.parquet
 - config_name: CC-MAIN-2020-05-afr
@@ -90,7 +86,6 @@ configs:
   data_files: data/CC-MAIN-2020-05/ita/*.parquet
 - config_name: CC-MAIN-2020-05-nld
   data_files: data/CC-MAIN-2020-05/nld/*.parquet
-# CC-MAIN-2022-05
 - config_name: CC-MAIN-2022-05
   data_files: data/CC-MAIN-2022-05/**/*.parquet
 - config_name: CC-MAIN-2022-05-afr
@@ -109,7 +104,6 @@ configs:
   data_files: data/CC-MAIN-2022-05/ita/*.parquet
 - config_name: CC-MAIN-2022-05-nld
   data_files: data/CC-MAIN-2022-05/nld/*.parquet
-# CC-MAIN-2023-06
 - config_name: CC-MAIN-2023-06
   data_files: data/CC-MAIN-2023-06/**/*.parquet
 - config_name: CC-MAIN-2023-06-afr
@@ -128,7 +122,6 @@ configs:
   data_files: data/CC-MAIN-2023-06/ita/*.parquet
 - config_name: CC-MAIN-2023-06-nld
   data_files: data/CC-MAIN-2023-06/nld/*.parquet
-  # CC-MAIN-2024-46
 - config_name: CC-MAIN-2024-46
   data_files: data/CC-MAIN-2024-46/**/*.parquet
 - config_name: CC-MAIN-2024-46-afr
@@ -147,7 +140,6 @@ configs:
   data_files: data/CC-MAIN-2024-46/ita/*.parquet
 - config_name: CC-MAIN-2024-46-nld
   data_files: data/CC-MAIN-2024-46/nld/*.parquet
-# CC-MAIN-2024-51
 - config_name: CC-MAIN-2024-51
   data_files: data/CC-MAIN-2024-51/**/*.parquet
 - config_name: CC-MAIN-2024-51-afr
@@ -166,7 +158,6 @@ configs:
   data_files: data/CC-MAIN-2024-51/ita/*.parquet
 - config_name: CC-MAIN-2024-51-nld
   data_files: data/CC-MAIN-2024-51/nld/*.parquet
-# CC-MAIN-2025-05
 - config_name: CC-MAIN-2025-05
   data_files: data/CC-MAIN-2025-05/**/*.parquet
 - config_name: CC-MAIN-2025-05-afr
@@ -307,25 +298,11 @@ Based on these criteria, the "best" license is picked as the one in the `license
 - 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.
 - 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.
 
+Based on these recommendations, two subsets are available:
 
-Recommendation:
+- [BramVanroy/CommonCrawl-CreativeCommons-fine](https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons-fine): only retaining items containing samples that are also in FineWeb(-2)
+- [BramVanroy/CommonCrawl-CreativeCommons-strict](https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons-strict): additional filtering that also removes Wikipedia and non-commercial data
 
-```python
-from datasets import load_dataset
-
-
-ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-2019-30", split="train")
-ds = ds.filter(
-    lambda x: (
-        (not x["license_disagreement"]) and    # Only use pages with a consistent license
-        x["found_in_fw"] and                   # Only use pages that are in FineWeb(-2)
-        "nc" not in x["license_abbr"] and      # Exclude non-commercial licenses
-        x["license_abbr"] != "cc-unknown" and  # Exclude unknown licenses
-        "wiki" not in x["url"]                 # Exclude Wiki-like pages (best to get those from a more reliable parser)
-    ), 
-    num_proc=16
-)
-```
 
 ## Personal and Sensitive Information
 
@@ -370,4 +347,4 @@ If you use or modify [the software](https://github.com/BramVanroy/CommonCrawl-Cr
 - The computational resources and services used in this work were provided by the [VSC (Flemish Supercomputer Center)](https://www.vscentrum.be/), funded by the Research Foundation Flanders (FWO) and the Flemish Government – department EWI under grant 2024-107.
 - Guilherme Penedo ([@guipenedo](https://huggingface.co/guipenedo)) and the rest of the [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) and [datatrove](https://github.com/huggingface/datatrove) team for the help and insights
 - [TNO](https://www.tno.nl/nl/), who funded the work hours to accomplish this code. They intend to use (parts of) [the generated material](https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons) for the [GPT-NL project](https://gpt-nl.nl/).
-- ML6 and specifically Robin Van Craenenbroek for their [Fondant Creative Commons](https://github.com/ml6team/fondant-usecase-filter-creative-commons/tree/add-fondant-usecase-cc-image-extraction) filter for image datasets. While my approach is different, their code did serve as inspiration.
+- ML6 and specifically Robin Van Craenenbroek for their [Fondant Creative Commons](https://github.com/ml6team/fondant-usecase-filter-creative-commons/tree/add-fondant-usecase-cc-image-extraction) filter for image datasets. While my approach is different, their code did serve as inspiration.