Download User Manual
DC AIBench User Manual [DC AIBench-UserManual]
Download data sets
Table 1: The Summary of Data Sets
data sets | data size | Scalable data set | |
1 | CIFAR-10 | 60000 color images with the dimension of 32*32 | Ongoing development |
2 | ImageNet (1GB,10GB) | ILSVRC2014 DET image dataset(unstructured image) | Ongoing development |
3 | LSUN | One million labelled images, classified into 10 scene categories and 20 object categories | Ongoing development |
4 | MNIST | handwritten digits database which has 60,000 training examples and 10,000 test examples(unstructured image) |
Ongoing development |
5 | MovieLens Dataset | User’s score data for movies, which has 9,518,231 training examples and 386,835 test examples(semi-structured text) |
Ongoing development |
6 | WMT English-German | WMT English-German translation dataset | Ongoing development |
7 | MS COCO2014 | A large-scale object detection, segmentation, and captioning dataset | Ongoing development |
8 | Cityscapes | A new large-scale dataset that contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities | Ongoing development |
9 | LibriSpeech | A corpus of approximately 1000 hours of 16kHz read English speech | Ongoing development |
10 | VGGFace2 | A large-scale face recognition dataset | Ongoing development |
11 | LFW dataset | A database of face photographs | Ongoing development |
12 | Robot pushing dataset | 59,000 examples of robot pushing motions | Ongoing development |
13 | ShapeNet Dataset | A richly-annotated, large-scale dataset of 3D shapes | Ongoing development |
14 | Gigaword Dataset | Nearly ten million documents of the original English Gigaword Fifth Edition | Ongoing development |
15 | Intellifusion data set | 77,715 samples from 253 face IDs provided by Intellifusion | Ongoing development |
Download software
We provide two options: download the full software package one time or download components one by one. Please note that you need to download and deploy prerequisite software packages before using BigDataBench. Please refer to the user manual. The following packages should be installed firstly, and the running platform is Linux.
Software | Version | Download |
TensorFlow | 1.12 | https://www.tensorflow.org | PyTorch | 1.0.1 | https://pytorch.org |
GCC | 4.8.2 | http://gcc.gnu.org/releases.html |
DC AIBench Download
Full software packages of different implementations are available from the following links.
Micro Benchmark:
- DC_AIBench_Micro:
http://159.226.41.254:8090/AIBench/DC_AIBench_Micro
Component Benchmark:
- DC_AIBench_Component:
http://159.226.41.254:8090/AIBench/DC_AIBench_Component
Application Benchmark:
- AIBench_DCMIX:
http://159.226.41.254:8090/AIBench/AIBench_DCMIX