Datasets:
File size: 7,416 Bytes
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license: other
pretty_name: VCDB Core Audio Retrieval
task_categories:
- other
tags:
- mteb
- moeb
- audio-retrieval
- duplicate-detection
- research-only
---
# VCDB Core Audio Retrieval
This repository packages audio extracted from the **528-video core set** of
VCDB as a symmetric audio-to-audio retrieval task for MTEB/MOEB. The separate
100,000-video background collection is not included.
## Terms and provenance
The source dataset is provided by Fudan University for **research purposes
only**. The source authors and Fudan University make no warranties about the
dataset, including non-infringement. Users must review and follow the
[original VCDB terms](https://web.archive.org/web/20251123150707/https://fvl.fudan.edu.cn/dataset/vcdb/list.htm). The original page is
[`https://fvl.fudan.edu.cn/dataset/vcdb/list.htm`](https://fvl.fudan.edu.cn/dataset/vcdb/list.htm) and may be intermittently unavailable.
The source videos were collected from YouTube and MetaCafe. Rights in the
underlying media remain with their respective rightsholders. This packaging
does not grant additional rights beyond the source terms.
## Construction
- Raw core videos: 528
- Videos with an audio stream: 527
- Unique packaged audio files (SHA-256): 461
- Videos without an audio stream: 1
- Audio queries: 527
- Unique undirected relevant pairs: 5584
- Directed binary qrels: 11168
Stable IDs remain the original topic-relative video paths. The source video
without audio, `maradona_hand_of_god/de71afa5fe2363589c28021940d2902d8701efdf.flv`, is excluded. Qrels
involving it are removed, and every retained query has at least one positive.
The 66 repeated audio files belong to distinct source video IDs and are
retained as meaningful positives for copy detection.
Relevance is derived from VCDB's human segment-level video copy annotations:
multiple annotations for the same source-video pair are collapsed, and both
directions are emitted. These are not independent audio-copy judgments.
## Audio extraction
Source codec counts: `{"aac": 512, "adpcm_swf": 13, "mp3": 2}`.
Packaged codec counts: `{"aac": 527}`.
AAC elementary streams are remuxed without re-encoding into `.m4a`. The
15 non-AAC tracks are deterministically
encoded to AAC at 128 kb/s with one FFmpeg thread, with metadata and chapters
removed. Every packaged track is fully decoded during validation.
Re-encoded tracks:
- `beckham_70_yard_goal/0056649006c7a250cb4174f1e924768ba2c9d599.flv`: `adpcm_swf` to AAC; output SHA-256 `2a36aa3c1c251962605953d1a95a892da5ef1ee7755fade99cd2cb22b81c896d`
- `beckham_70_yard_goal/97c71f57e83f6ab16906fdd7edc8e3f88d2ceee1.flv`: `adpcm_swf` to AAC; output SHA-256 `9961e8047c62cf221867965853e72429c1539d9f1d8c6e1bc36888b2f133e7f8`
- `bolt_beijing_100m/098df9c477ecf6c4f3818b198490b0258163015d.flv`: `adpcm_swf` to AAC; output SHA-256 `e9088ad5bec444b62ed73e4b9296e3abf6457d7bb6edd5124a1badb1843821a7`
- `bolt_beijing_100m/359b3ef99acac4136096052c6d812a6248811e10.flv`: `adpcm_swf` to AAC; output SHA-256 `36385c29993b875ed22ec3de1fd668f3528656a3f4dee65046c355f6e1948dd5`
- `brazil_vs_brazil_nike_commercial_2012/0cad474aedea70d42f8d8f2a6f9a21e3c40fa40b.flv`: `adpcm_swf` to AAC; output SHA-256 `d3f0b03c1d58da9608fbb2438142fe4ca0ffa48ccd2e9be7b7508608dce613ea`
- `endless_love/3499b9fd4316131ebf0f5d9bbecf6f3f8600c4fb.flv`: `adpcm_swf` to AAC; output SHA-256 `23375ae8f8fb9e12bd79cead89027d9cd71b3d39e85b25aeb0714a357ec8a1b1`
- `endless_love/ef831f0fe7c633be5ed9edd29dd28d6066ea6d88.flv`: `adpcm_swf` to AAC; output SHA-256 `22f06767e9989efe9f4b320cf5b25c24daa00328a38fbbcaf89e4be8a539b55b`
- `infernal_affairs_1/2620a515a196e5d4329f320f478010e578980bee.flv`: `adpcm_swf` to AAC; output SHA-256 `9be767b7c3ceb849f07faa56b51d419ac5d4a65b41ecb6fced1b2830551f103f`
- `infernal_affairs_1/7e4fe3c124a00ce43ce0b5b0aca342d79e3c1ed7.flv`: `mp3` to AAC; output SHA-256 `efa17a9055f1d58fd3e9999aca1367fda43928c6a43321673caa13339e9427f7`
- `infernal_affairs_1/c70491f4b4d4a8e90561c11ac929edf430e62641.flv`: `mp3` to AAC; output SHA-256 `ae63b285d6da85c8275d4903bbc60a617fa1961b4f4d5aec00756f7bdc1206ec`
- `saving_private_ryan_omaha_beach/200130e0c39f0239a22ad3f873feac30e88134df.flv`: `adpcm_swf` to AAC; output SHA-256 `72f89d6fab4d1d29c9dc4b1a835fa655969e4eee164211a3d858fbda992efa6a`
- `saving_private_ryan_omaha_beach/31a250020d2cd699bc5fc42897f7522043713cf5.flv`: `adpcm_swf` to AAC; output SHA-256 `d1392b4580bf4f3acda3fb6a35c2d9df56aa9793dfdecc16b84407178834dfb8`
- `saving_private_ryan_omaha_beach/a257de343d6734f0fc478da98cfedf773ea407a4.mp4`: `adpcm_swf` to AAC; output SHA-256 `ff9aef20b7d12eeb09f0328f5601e52433f0735ac296af1b29632935744eefe2`
- `saving_private_ryan_omaha_beach/aa314017a4a18f05208d8702c27d16d57df3f55f.mp4`: `adpcm_swf` to AAC; output SHA-256 `9f9901b63ff2396e58472c5d847f1e0e60145a489997444da370168bdda42220`
- `saving_private_ryan_omaha_beach/aba6851ca7f78f3a83216005bef58766e3dfb26d.flv`: `adpcm_swf` to AAC; output SHA-256 `0b799ee33fccbfeac462aa711e1e99bec322a6c5d034af653a1ac9550352d27f`
## Configurations
- `corpus` (`test`): `id: string`, `audio: Audio`
- `queries` (`test`): `id: string`, `audio: Audio`
- `qrels` (`test`): `query-id: string`, `corpus-id: string`, `score: int32`
## Source archive SHA-256
- `core_dataset.z01`: `cc4b2f54ee6e13277c7657061c28b101b97f95e5e3897f1246bab0c432d70ddf` (730000000 bytes)
- `core_dataset.z02`: `a1b99131f374c841bb79906704e64555119ffa2307bc6915ac5b843dcabdddc3` (730000000 bytes)
- `core_dataset.z03`: `c34b0119bd136d02c9d288e53a8546cfe2f477f52f459fc7a483313ec32ec394` (730000000 bytes)
- `core_dataset.z04`: `05c591e74e0e51a05703c6c7b93d6e46bf0c4e80e8ab94b0f1a5ceae688046a5` (730000000 bytes)
- `core_dataset.z05`: `fe346c17fb971833b5f4dbef8c3313d84e47d8d0f6c00f5165b7be6ca65bbf3e` (730000000 bytes)
- `core_dataset.z06`: `01973a3b5eab4ef8451ac6f2434a71d14aff8ebd2c1b0af078dbfd20672cf522` (730000000 bytes)
- `core_dataset.z07`: `8f700e059bf29b1dfdde4cb9bc6c38b1ad1ba12152c70617a2116e732eb66cb6` (730000000 bytes)
- `core_dataset.z08`: `6bb5286b05987de11a076b4fd0985017f4ca931bc53cc1cd16510d802690f0a3` (730000000 bytes)
- `core_dataset.z09`: `84ba7436187dc4bc41ce21475b3f70b5887dd800da8e61beea660650dd322d76` (730000000 bytes)
- `core_dataset.z10`: `31e9710787b5994118304a9f336312943c81b643a56e5e2425577755d7362f7c` (730000000 bytes)
- `core_dataset.z11`: `7164ad7d655398e092580fdcda734dbead0960e8dee858a62e8dd4218bbc05c4` (730000000 bytes)
- `core_dataset.zip`: `22f2e052e835f30e4bd1cc794ff2c1a564923fed7d5fa96d8db5afca715a5a16` (260421905 bytes)
## Limitations
VCDB was designed for temporal partial-copy detection in video. Copied visual
segments may have modified or replaced sound, so audio-only relevance can be
noisy. This adaptation also uses only the core set and cannot reproduce the
paper's segment-level F1 score or complete 100K-background protocol.
## Citation
```bibtex
@inproceedings{jiang2014vcdb,
author = {Jiang, Yu-Gang and Jiang, Yudong and Wang, Jiajun},
booktitle = {Computer Vision -- ECCV 2014},
pages = {357--371},
publisher = {Springer},
title = {VCDB: A Large-Scale Database for Partial Copy Detection in Videos},
year = {2014},
}
```
Paper: [https://fvl.fudan.edu.cn/_upload/article/files/7b/c4/190424104d2192e8e83cb9dfa6fc/5a8d85f7-5738-450c-b957-3de71d8d7e72.pdf](https://fvl.fudan.edu.cn/_upload/article/files/7b/c4/190424104d2192e8e83cb9dfa6fc/5a8d85f7-5738-450c-b957-3de71d8d7e72.pdf)
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