Hi AnxiousSeal95 ! Thank you for the parallel download feature you have added. We have tested it with ClearML 1.5.0 and it seems that it is not really helpful. For a big dataset the time it takes to download does not really changes with the new feature. We indeed can download several chunks in parallel, but it turns out that while N workers are downloading N chunks, downloading speed for each worker is N times less than for a consequent download. Since that most of the chunks have the same size, the download processes finish at the same time and parallel zip extraction process runs, again about N times slower than for a single worker mode. Such an approach does not seem to be the most efficient one. We discussed it with DepressedFish57 and we suggest you do it in another way. We propose to modify the approach as follows: 1) we download first chunk; 2) downloading of the second chunk starts at the same time when extraction of the first chunk begins. It will allow to download each chunk at the maximum possible speed and perform the CPU-dependent extraction processes in parallel, which will indeed enable to download out data faster.