Update data page

lang/aa/texts/data.html

@@ -55,16 +55,6 @@ <h3>JSONL data export</h3>
 
 <p>A suitable way to exploit the database is to use DuckDB, an in-process analytical tool designed to process large amount of data in a fraction of seconds. You can read our <a href="https://blog.openfoodfacts.org/en/news/food-transparency-in-the-palm-of-your-hand-explore-the-largest-open-food-database-using-duckdb-%f0%9f%a6%86x%f0%9f%8d%8a">blog post</a> where we walk you through exploring and processing the Open Food Facts database with DuckDB</p>
 
-<h3>CSV Data Export</h3>
-<p>Data for all products, or some of the products, can be downloaded in the CSV format (readable with LibreOffice, Excel and many other spreadsheet software) through the <a href="https://world.openfoodfacts.org/cgi/search.pl">advanced search form</a>.</p>
-
-<dl>
- <dt>Links</dt>
- <dd><a href="https://static.openfoodfacts.org/data/en.openfoodfacts.org.products.csv.gz">https://static.openfoodfacts.org/data/en.openfoodfacts.org.products.csv.gz</a> (compressed CSV in GZIP format: ~ 0.9 Gb, uncompressed: ~ 9 Gb)</dd>
-</dl>
-
-<p>The file encoding is Unicode UTF-8. The character that separates fields is &lt;tab&gt; (tabulation).</p>
-
 <h3>Parquet Data Export on Hugging Face</h3>
 
 <p>A cleaner version of the JSONL dump is also available in the <a href="https://parquet.apache.org/">Parquet format</a>. This data format is optimized for columnar queries, which is particular convenient for data analysis.</p>