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Add VCDB Core Audio dataset card and terms

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