Update README.md

README.md

@@ -54,8 +54,8 @@ size_categories:
 ## Dataset Summary
 Fondant-cc-25m contains 25 million image URLs available under different [Creative Commons](https://creativecommons.org/) 
 licenses collected from the [Common Crawl web corpus](https://commoncrawl.org/). 
-The dataset was created using [Fondant](https://fondant.ai), an open-source framework for building composable data 
-preparation pipelines for training (and fine-tuning) foundation models.
+The dataset was created using [Fondant](https://fondant.ai), an open source framework that aims to simplify and speed up 
+large-scale data processing by making self-contained pipeline components reusable across pipelines, infrastructures and shareable within the community.
 
 ## Supported Tasks and Leaderboards
 
@@ -92,6 +92,11 @@ To visually inspect the results quickly, you can use:
 fondant explore --base_path ./data
 ```
 
+To extract the images from the Parquet files we have added a simple Python script which extracts the image files and adds a csv with 
+image data and file names, TODO XXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+
+To download the full dataset, TODO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+
 ## Dataset Structure
 ### Data Instances
 Each data instance corresponds to one image. The URL of the image is in the `image_url` feature, and other features (`alt_text`, `webpage_url`, etc) provide some 
@@ -106,43 +111,54 @@ metadata. Note that images have been deduplicated only based on their URLs.
 - `sort_url` (string): sort friendly image url with top level domain as the prefix
 
 ## Data Splits
-The dataset has no splits and all data is loaded as a [TODO: check split name - train?] split by default. If you want to setup a custom train-test split 
-beware that the dataset may contain duplicates which can cause leakage into the test split.
-
+We do not provide any canonical splits for fondant-cc-25m.
 
 ## Dataset Creation
+
 ### Curation Rationale
-Current AI image generation models such as Stable Diffusion and Dall-E trained on hundreds of millions of images from the public Internet tend to include copyrighted work. 
-This creates legal risks and uncertainties for users of image generation systems, and is unfair towards copyright holders who may not want their proprietary work reproduced without consent. 
-By releasing an open large-scale image dataset, we hope to mitigate legal risks and empower ethical AI development that is respectful of copyrighted content.
-This dataset is the first step towards our final goal of a 500M Creative Commons image dataset.
+Current AI image generation models such as Stable Diffusion and Dall-E are trained on hundreds of millions of images from the public Internet 
+including copyrighted work. This creates legal risks and uncertainties for users of these images and is unfair towards copyright holders who 
+may not want their proprietary work reproduced without consent. 
+By releasing a Creative Commons image dataset, we hope to mitigate legal risks and empower ethical AI development that respects copyright.
+This dataset is the first step towards our goal of a 500M Creative Commons image dataset.
 
 ### Source Data
-#### Initial Data Collection and Normalization
+fondant-cc-25m is built from CommonCrawl dumps. These dumps are constructed from crawling publicly available web pages.
+
+#### Data Collection and Preprocessing
 ##### License detection 
 Permissive licenses have minimal restrictions on how the image can be copied, modified, and redistributed. 
 The full list of licenses can be found [here](https://creativecommons.org/about/cclicenses/).
-
-We examined HTML tags of the webpages for the presence of Creative Commons license URLs. A webpage was marked permissive if only a license URL was found in its footer, aside or sidebar. Subsequently, all the image URLs present on the web page were collected together with the license information.
-This approach achieved a 96.32% accuracy in an earlier test where we investigated the scope of licenses. More information on our approach can be found in [this blogpost](https://blog.ml6.eu/ai-image-generation-without-copyright-infringement-a9901b64541c).
-
+We examined HTML tags of the webpages for the presence of Creative Commons license URLs. A webpage was marked permissive only when a license URL was found in 
+its footer, aside or sidebar. This was the case in around 0.164% of images.
+Subsequently, all the image URLs present on the web page were collected together with the license information.
+A manual test of 1032 randomly sampled images showed an accuracy of 96.32% in which case the image was actually released under a Creative Commons license.
+False positives could be due to parsing errors but also incorrect attributions: images indicated by the publisher to be CC which are not.
+More information on our approach can be found in [this blogpost](https://blog.ml6.eu/ai-image-generation-without-copyright-infringement-a9901b64541c).
 
 #### Who are the source language producers?
-The source language producers are users of the Internet whose webpages were included in the Common Crawl indices `CC-MAIN-2023-23`, `CC-MAIN-2023-06` and `CC-MAIN-2023-14` spanning January to April 2023.
+The source language producers are users of the Internet whose webpages were included in the Common Crawl indices `CC-MAIN-2023-23`, 
+`CC-MAIN-2023-06` and `CC-MAIN-2023-14` spanning January to April 2023.
 
 ### Personal and Sensitive Information
-The released dataset may contain sensitive information such as names, emails and addresses that have previously been published to the Internet. In the event that the dataset contains personal information, researchers should only use public, non-personal information in support of conducting and publishing their [open-access](https://en.wikipedia.org/wiki/Open_access) research. Personal information should not be used for spamming purposes, including sending unsolicited emails or selling of personal information. Complaints, removal requests, and "do not contact" requests can be sent to info@fondant.ai.
-
-The PII filtering pipeline for this dataset is still a work in progress. Researchers that wish to contribute to the anonymization pipeline of the project can join [here](https://github.com/ml6team/fondant/tree/main#-contributing). 
-
+The released dataset may contain sensitive information such as names, emails and addresses that have previously been published to the Internet. 
+In the event that the dataset contains personal information, researchers should only use public, non-personal information in support of conducting 
+and publishing their [open-access](https://en.wikipedia.org/wiki/Open_access) research. Personal information should not be used for spamming purposes, 
+including sending unsolicited emails or selling of personal information. Complaints, removal requests, and "do not contact" requests can be sent to info@fondant.ai.
+The PII filtering pipeline for this dataset is still a work in progress. Researchers that wish to contribute to the anonymization pipeline of the project can join 
+[here](https://github.com/ml6team/fondant/tree/main#-contributing). 
 
 ### Opting out of Fondant-cc-25m
-We are giving the public the ability to have their image removed from the dataset upon request. The process for submitting and enacting removal requests will keep evolving throughout the project as we receive feedback and build up more data governance tools.
+Fondant-cc-25m is based on CommonCrawl. Their crawler honors opt-out requests in the robots.txt, see the 
+[CC FAQ](https://commoncrawl.org/big-picture/frequently-asked-questions/) for details.
+
+We are giving the public the ability to have their image removed from the dataset upon request. The process for submitting and enacting removal requests will keep 
+evolving throughout the project as we receive feedback and build up more data governance tools.
 If you'd like to have your data removed from the dataset, [contact us](mailto:info@fondant.ai).
 
 ## Considerations for Using the Data
 ### Discussion of Biases
-### Other Known Limitations
+As toxic or biased data is prevalent on the internet, it is possible that our dataset contains such content. 
 
 ## Additional Information
 
@@ -151,19 +167,11 @@ If you'd like to have your data removed from the dataset, [contact us](mailto:in
 2. Robbe Sneyders, ML6, robbe.sneyders@ml6.eu
 3. Matthias Richter, ML6, matthias.richter@ml6.eu
 
-
 ### Licensing Information
-Fondant-cc-25m is a collection of images with various Creative Commons and other public licenses. Any use of all or part of the images gathered in Fondant-cc-25m must abide by the terms of the original licenses, including attribution clauses when relevant. We facilitate this by providing provenance information for each data point.
+Fondant-cc-25m is a collection of images with various Creative Commons and other public licenses. Any use of all or part of the images gathered in Fondant-cc-25m 
+must abide by the terms of the original licenses, including attribution clauses when relevant. We facilitate this by providing provenance information for each data point.
 
 The list of Creative Commons license types included in the dataset can be found [here](https://creativecommons.org/about/cclicenses/).
 
-### Citation Information
-```
-[TODO]
-```
-
-### Contributions
-
-[More Information Needed]
-
-## Terms of Use for the [Dataset]
+## Contact
+[contact us](mailto:info@fondant.ai)