File size: 1,977 Bytes
f190bb7 924ac9c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | # Activitynet-QA
The ActivityNet-QA dataset contains 58,000 human-annotated QA pairs on 5,800 videos derived from the popular ActivityNet dataset. The dataset provides a benckmark for testing the performance of VideoQA models on long-term spatio-temporal reasoning.
## Splits
train: 32,000 QA pairs on 3,200 videos
val: 18,000 QA pairs on 1,800 videos
test: 8,000 QA pairs on 800 videos
## Question Format
All the questions are stored in the `*_q.json` files. Each entry in the json file is of the following format.
```
{
"video_name": str,
"question": str,
"question_id": str
}
```
The `video_name` field corresponds to the orginal video id in the ActivityNet dataset, the url for this video is `https://www.youtube.com/watch?v=<video_name>`. The `question_id` field refer to the unique id for the question in the dataset. The `question` field contains the questions in English.
## Answer Format
All the answers are stored in the `*_a.json` files. Each entry in the file is of the following format.
```
{
"answer": str,
"type": int,
"question_id": str
}
```
The `answer` field contains the answer with respect to the question with `question_id`
The `type` file contains the question or answer types for this question:
Question types: [0].Motion [1].Spatial Relationship [2].Temporal Relationship [3-8].Free
Answer types: [3].Yes/No [4].Color [5].Object [6].Location [7].Number [8].Other
## Licence
The code and the dataset are distributed under MIT LICENSE. They are only allowed for non-commercial use.
## Citation
If the project are helpful for your research, please cite
```
@inproceedings{yu2019activityqa,
author = {Yu, Zhou and Xu, Dejing and Yu, Jun and Yu, Ting and Zhao, Zhou and Zhuang, Yueting and Tao, Dacheng},
title = {ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering},
booktitle = {AAAI},
pages = {9127--9134},
year = {2019}
}
```
---
license: apache-2.0
---
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