Here we offer three datasets. The first dataset conforms to the newest version of the MPEG-DASH standard. The second dataset provides content encoded using Scalable Video Coding (SVC) and provides MPDs according to the newest version of the MPEG-DASH standard. The third dataset was created by Stefan Lederer and is still listed here for compatibility with the VLC Plugin.
The new dataset generated by Florian Bacher can be found here:
HTTP: http://ftp.itec.aau.at/datasets/DASHDataset2014/ the new 2014 dataset including audio and video content.
FTP: ftp://ftp.itec.aau.at/datasets/DASHDataset2014/
| Name | Codec | Source Quality | Length | Genre |
| Big Buck Bunny | AVC | 1080p YUV | 09:56 | Animation |
| Elephants Dream | AVC | 1080p YUV | 10:54 | Animation |
| Of Forest And Men | AVC | Original content | 7:33 | Documentary |
| Red Bull Playstreets | AVC | 1080p, 6 Mbit H.264 | 01:37:28 | Sport |
| The Swiss Account | AVC | 1080p, 6 Mbit H.264 | 57:34 | Sport |
| Valkaama | AVC | 1080p, 6 Mbit H.264 | 01:33:05 | Movie |
| Tears of Steel | AVC | 720p | 12:15 | SCI-FI Movie |
The SVC dataset can be found here SVC Dataset.
The older version of our MPEG-DASH dataset:
HTTP: http://ftp.itec.aau.at/datasets/mmsys12/
FTP: ftp://ftp.itec.aau.at/datasets/mmsys12/
| Name | Codec | Source Quality | Length | Genre |
| Big Buck Bunny | AVC | 1080p YUV | 09:46 | Animation |
| Elephants Dream | AVC | 1080p YUV | 10:54 | Animation |
| Red Bull Playstreets | AVC | 1080p, 6 Mbit H.264 | 01:37:28 | Sport |
| The Swiss Account | AVC | 1080p, 6 Mbit H.264 | 57:34 | Sport |
| Valkaama | AVC | 1080p, 6 Mbit H.264 | 01:33:05 | Movie |
| Of Forest and Men | AVC | SD | 10:53 | Movie |
| Tears of Steel | SVC | 720p | 12:15 | Movie |
PSNR values are includes for the Big Buck Bunny content.
Big Buck Bunny and Elephants Dream are also offered in a byte-range request based version.
Special thanks to the Red Bull Media House for providing us the Red Bull Playstreets video. Red Bull Media House owns all the rights of the Red Bull Playstreets content. Also special thanks to the team of Valkaama and to the producer Tim Baumann for providing us this content.
The SVC video is encoded at one baselayer with ~0,3 Mbps at 320×180, enhancement layer one with ~0,95 Mbps at 640×360 and enhancement layer two with ~2,7 Mbps at 1280×720. The segments are available as bitstream without container. Furthermore, the SSIM values are provided for each layer. Special thanks to Christian Sieber from University Würzburg for providing this content (sieber@informatik.uni-wuerzburg.de)!
The AVC videos of the different genres are encoded at this representations:
| Animation | Sport | Movie |
| 50 kbit/s, 320×240 | 100 kbit/s, 320×240 | 50 kbit/s, 320×240 |
| 100 kbit/s, 320×240 | 150 kbit/s, 320×240 | 100 kbit/s, 320×240 |
| 150 kbit/s, 320×240 | 200 kbit/s, 480×360 | 150 kbit/s, 320×240 |
| 200 kbit/s, 480×360 | 250 kbit/s, 480×360 | 200 kbit/s, 480×360 |
| 250 kbit/s, 480×360 | 300 kbit/s, 480×360 | 250 kbit/s, 480×360 |
| 300 kbit/s, 480×360 | 400 kbit/s, 480×360 | 300 kbit/s, 480×360 |
| 400 kbit/s, 480×360 | 500 kbit/s, 854×480 | 400 kbit/s, 480×360 |
| 500 kbit/s, 480×360 | 700 kbit/s, 854×480 | 500 kbit/s, 854×480 |
| 600 kbit/s, 854×480 | 900 kbit/s, 854×480 | 600 kbit/s, 854×480 |
| 700 kbit/s, 854×480 | 1,2 Mbit/s, 854×480 | 700 kbit/s, 854×480 |
| 900 kbit/s,1280×720 | 1,5 Mbit/s,1280×720 | 900 kbit/s,1280×720 |
| 1,2 Mbit/s,1280×720 | 2,0 Mbit/s,1280×720 | 1,2 Mbit/s,1280×720 |
| 1,5 Mbit/s,1280×720 | 2,5 Mbit/s,1280×720 | 1,5 Mbit/s,1280×720 |
| 2,0 Mbit/s,1280×720 | 3,0 Mbit/s,1920×1080 | 2,0 Mbit/s,1920×1080 |
| 2,5 Mbit/s,1920×1080 | 4,0 Mbit/s,1920×1080 | 2,5 Mbit/s,1920×1080 |
| 3,0 Mbit/s,1920×1080 | 5,0 Mbit/s,1920×1080 | 3,0 Mbit/s,1920×1080 |
| 4,0 Mbit/s,1920×1080 | 6,0 Mbit/s,1920×1080 | 4,0 Mbit/s,1920×1080 |
| 5,0 Mbit/s,1920×1080 | 5,0 Mbit/s,1920×1080 | |
| 6,0 Mbit/s,1920×1080 | 6,0 Mbit/s,1920×1080 | |
| 8,0 Mbit/s,1920×1080 |
This dataset was created with our DASH content generation tool DASHEncoder. It is open source an available at: https://github.com/slederer/DASHEncoder
About Citation of the Dataset:
We kindly ask you to refer the following paper in any publication mentioning our Dataset:
Stefan Lederer, Christopher Müller and Christian Timmerer, “Dynamic Adaptive Streaming over HTTP Dataset”, In Proceedings of the ACM Multimedia Systems Conference 2012, Chapel Hill, North Carolina, February 22-24, 2012. [pdf]