--- 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)