added dataset name

README.md

@@ -48,10 +48,10 @@ size_categories:
 ## Changelog
 |Release|Description|
 |-|-|
-|v1.0| Initial release of the [TODO:dataset name]
+|v0.1| Release of the Fondant-cc-25m dataset
 
 ## Dataset Summary
-[Dataset name] contains 25 million image URLs available for use under [Creative Commons](https://creativecommons.org/) license obtained from the [Common Crawl web corpus](https://commoncrawl.org/). The dataset was created as part of [Fondant](https://fondant.ai), a open-source framework for building composable data preparation pipelines for training (and fine-tuning) foundation models.
+Fondant-cc-25m contains 25 million image URLs available for use under [Creative Commons](https://creativecommons.org/) license collected from the [Common Crawl web corpus](https://commoncrawl.org/). The dataset was created as part of [Fondant](https://fondant.ai), a open-source framework for building composable data preparation pipelines for training (and fine-tuning) foundation models.
 
 ## Supported Tasks and Leaderboards
 
@@ -71,7 +71,7 @@ print(next(iter(dataset))) #TODO: add int ids?
 ### Utilizing the dataset in a fondant pipeline
 
 
-We have prepared a sample fondant pipeline that reduces the dataset to PNG files and subsequently
+We have prepared a sample fondant pipeline that limits the dataset to PNG files and subsequently
 downloads the images.
 
 To execute the pipeline locally, you must have [docker compose](https://docs.docker.com/compose/) installed on your local
@@ -83,7 +83,7 @@ Furthermore, you will need to install Fondant by running:
 pip install fondant[pipelines]
 ```
 
-Afterward, you can clone the GitHub repository, navigate to the `examples/pipelines/filter-cc-25m`, and initiate the
+Then you can clone the GitHub repository, navigate to the `examples/pipelines/filter-cc-25m`, and initiate the
 pipeline by executing:
 
 ```bash
@@ -128,7 +128,7 @@ The released dataset may contain sensitive information such as names, emails and
 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 [dataset name]
+### 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.
 If you'd like to have your data removed from the dataset, [contact us](mailto:info@fondant.ai).
 
@@ -145,7 +145,7 @@ If you'd like to have your data removed from the dataset, [contact us](mailto:in
 
 
 ### Licensing Information
-[Dataset name] is a collection of images with various Creative Commons licenses. Any use of all or part of the images gathered in [dataset name] 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/).