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+# Accessing Contributor and Project Datasets in Common Crawl
+
+Common Crawl hosts additional datasets created by the community in the `/contrib/` and `/projects/` directories. These datasets may have different formats and structures than the main crawl data, and may not always follow the `.paths.gz` convention.
+
+This guide explains how to discover, download, and use these datasets with `cc-downloader` and other common tools.
+
+---
+
+## Listing Available Datasets
+
+You can list available datasets using the AWS CLI:
+
+```bash
+aws s3 ls s3://commoncrawl/contrib/
+aws s3 ls s3://commoncrawl/projects/
+```
+
+Or browse via HTTP:
+
+- [https://data.commoncrawl.org/contrib/](https://data.commoncrawl.org/contrib/)
+- [https://data.commoncrawl.org/projects/](https://data.commoncrawl.org/projects/)
+
+---
+
+## Downloading a `.paths.gz` File
+
+Many datasets provide a `.paths.gz` file listing the available data objects. For example, to download a paths file from a project dataset:
+
+```bash
+wget https://data.commoncrawl.org/projects/host-index-testing/v1.paths.gz
+gunzip v1.paths.gz
+head v1.paths
+```
+
+---
+
+## Downloading Files Listed in a `.paths` File
+
+You can use `cc-downloader` to download files listed in a `.paths` file:
+
+```bash
+cc-downloader download v1.paths /your/target/directory/
+```
+
+---
+
+## Notes and Limitations
+
+- Some contributor datasets may not use the `.paths.gz` format. For these, manual download or custom scripts may be needed.
+- If you encounter unsupported formats or have suggestions for improvement, please open an issue or contribute enhancements!
+- For more information on data formats and access methods, see the [Common Crawl Get Started Guide](https://commoncrawl.org/get-started).
+
+---
+
+## Example: Python Script for Inspecting a `.paths.gz` File
+
+For users who wish to prototype or inspect datasets before using Rust tools, here is a simple Python example:
+
+```python
+import gzip
+import requests
+
+url = "https://data.commoncrawl.org/projects/host-index-testing/v1.paths.gz"
+local_gz = "v1.paths.gz"
+local_txt = "v1.paths"
+
+# Download .paths.gz
+with requests.get(url, stream=True) as r:
+    r.raise_for_status()
+    with open(local_gz, 'wb') as f:
+        for chunk in r.iter_content(chunk_size=8192):
+            f.write(chunk)
+
+# Unzip
+with gzip.open(local_gz, 'rt') as gz, open(local_txt, 'w') as out:
+    for line in gz:
+        out.write(line)
+
+# Print first 10 file paths
+with open(local_txt) as f:
+    for i, line in enumerate(f):
+        print(line.strip())
+        if i >= 9:
+            break
+```
+
+---
+
+## Feedback
+
+We welcome feedback and contributions to improve support for contributor and project
+