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ABRBench Dataset

📖 中文版 README

ABRBench is a benchmark dataset specifically designed for Adaptive Bitrate (ABR) research. It covers multiple trace sets and aims to evaluate models’ generalization ability under wide-range network conditions and unseen / out-of-distribution (OOD) scenarios.
The dataset has been reorganized and resplit, making it easier for researchers to systematically validate the stability and robustness of ABR algorithms in complex environments.

Video Sets

  • envivio_3g

    • Video chunk sizes sourced from hongzimao/pensieve, identical to the video in hongzimao/video_server.
    • Used in ABRBench-3G.
  • big_buck_bunny

Trace Dataset Organization and Distribution

ABRBench reorganizes and resplits multiple public trace datasets (note: these are curated versions, not the original official releases).
The train data is aggregated from the provided test sets.

ABRBench-3G

Group Trace Set Count Bandwidth Range (Mbps) Source
Train same with test 1828 0.00 – 45.38 -
Test FCC-16 69 0.00 – 8.95 comyco-lin
FCC-18 100 0.00 – 41.76 merina
Oboe 100 0.16 – 9.01 comyco-lin
Puffer-21 100 0.00 – 25.14 merina
Puffer-22 100 0.00 – 9.29 merina
OOD HSR 34 0.00 – 44.68 pitree-dataset

ABRBench-4G+

Group Trace Set Count Bandwidth Range (Mbps) Source
Train same with test 262 0.00 – 1890.00 -
Test Norway 3G 41 0.11 – 7.27 pensieve_retrain
Lumos 4G 53 0.00 – 270.00 pensieve_retrain
Lumos 5G 37 0.00 – 1920.00 pensieve_retrain
Solis Wi-Fi 24 0.00 – 124.00 pensieve_retrain
OOD Ghent 40 0.00 – 110.97 pitree-dataset
Lab 61 0.16 – 175.91 pitree-dataset

Dataset Structure

The ABRBench dataset is organized into video files (video/) and network trace files (trace/).
The general trace split principle is:

  • Train/Test Sets: each trace set contains train/ and test/ subdirectories.
  • OOD Sets: directly provide trace files, without train/test split.
ABRBench/
├── video/                # Video files
│   ├── big_buck_bunny/   # 4G+ video chunks
│   └── envivio_3g/       # 3G video chunks
│
└── trace/                # Network traces
    ├── ABRBench-3G/      # 3G traces
    │   ├── FCC-16/       # Each trace set contains train / test
    │   │   ├── train/
    │   │   └── test/
    │   ├── FCC-18/
    │   │   ├── train/
    │   │   └── test/
    │   ├── Oboe/
    │   │   ├── train/
    │   │   └── test/
    │   ├── Puffer-21/
    │   │   ├── train/
    │   │   └── test/
    │   ├── Puffer-22/
    │   │   ├── train/
    │   │   └── test/
    │   └── HSR/          # OOD set (raw traces only, no split)
    │
    └── ABRBench-4G+/     # 4G+/5G traces
        ├── Lumos4G/
        │   ├── train/
        │   └── test/
        ├── Lumos5G/
        │   ├── train/
        │   └── test/
        ├── Solis Wi-Fi/
        │   ├── train/
        │   └── test/
        ├── Ghent/        # OOD set (raw traces only, no split)
        └── Lab/          # OOD set (raw traces only, no split)

About

ABRBench is a benchmark dataset for evaluating Adaptive Bitrate (ABR) algorithms, focusing on generalization across wide-range and out-of-distribution (OOD) network conditions.

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