| --- |
| license: apache-2.0 |
| pretty_name: FIVR-5K MTEB Metadata |
| task_categories: |
| - feature-extraction |
| tags: |
| - mteb |
| - moeb |
| - video-retrieval |
| - fivr |
| configs: |
| - config_name: corpus |
| data_files: |
| - split: test |
| path: corpus/test-* |
| - config_name: queries |
| data_files: |
| - split: test |
| path: queries/test-* |
| - config_name: dsvr-qrels |
| data_files: |
| - split: test |
| path: dsvr-qrels/test-* |
| - config_name: csvr-qrels |
| data_files: |
| - split: test |
| path: csvr-qrels/test-* |
| - config_name: isvr-qrels |
| data_files: |
| - split: test |
| path: isvr-qrels/test-* |
| - config_name: availability |
| data_files: |
| - split: test |
| path: availability/test-* |
| - config_name: positive-losses |
| data_files: |
| - split: test |
| path: positive-losses/test-* |
| - config_name: query-decisions |
| data_files: |
| - split: test |
| path: query-decisions/test-* |
| --- |
| |
| # FIVR-5K for MTEB |
|
|
| This repository packages the metadata needed for the MTEB/MOEB version of |
| fine-grained incident video retrieval. It contains no video bytes. |
|
|
| ## Relationship to the source benchmarks |
|
|
| [FIVR-200K](https://github.com/MKLab-ITI/FIVR-200K) is the authoritative |
| source of the YouTube IDs and human ND/DS/CS/IS annotations. The canonical |
| FIVR-5K protocol published with |
| [ViSiL](https://github.com/MKLab-ITI/visil) selects the 50 most difficult DSVR |
| queries (using iMAC to measure difficulty), randomly retains 30% of annotated |
| videos per label category for each query, and publishes a 5,000-video database |
| from FIVR-200K. The released ViSiL metadata is used to validate membership; the |
| MTEB construction does not rerun that historical random selection. |
|
|
| [VideoEval](https://huggingface.co/datasets/lixinhao/VideoEval) freezes a |
| downloadable subset of that established protocol: 31 of the canonical queries, |
| 3,415 canonical database rows, and 3,445 unique IDs (one query is also a |
| database row). Its annotations are identical to the official FIVR-200K JSON. |
| The MTEB construction validates all of these relationships instead of sampling |
| a new subset. |
|
|
| The older ViSiL pickle and current FIVR/VideoEval annotations differ for two |
| manifest items, both historical IS positives that are absent from the current |
| official annotation. The construction records and validates this drift, then |
| uses the current official annotation bundled identically by VideoEval. |
|
|
| The MTEB freeze re-audited all VideoEval IDs on 2026-08-10. It observed |
| 3217 available and 228 unavailable/restricted IDs. After |
| removing unavailable media, excluding the single query self-match from the |
| corpus, and retaining only available queries with a surviving DSVR positive, |
| the evaluation has 29 queries and 3188 corpus videos. |
| Across all 31 VideoEval source queries, unavailable corpus media removed |
| 1 ND, 23 DS, 14 CS, and 22 IS |
| positive assignments. For the 29 retained evaluation queries, the |
| corresponding losses are 1 ND, 21 DS, |
| 8 CS, and 21 IS. The per-query records remain |
| available in `positive-losses` rather than being silently discarded. |
|
|
| ## Retrieval definitions |
|
|
| All qrels are binary, exactly following the official evaluator: |
|
|
| - DSVR: ND + DS (417 qrels) |
| - CSVR: ND + DS + CS (485 qrels) |
| - ISVR: ND + DS + CS + IS (700 qrels) |
|
|
| The source metric is full-ranking mean average precision. MTEB evaluates |
| `map_at_<corpus size>`, which is equivalent because every corpus item is ranked. |
|
|
| ## Media and licensing |
|
|
| The FIVR and ViSiL repositories, the VideoEval metadata repository, and this |
| metadata-only derivative are Apache-2.0. That license does not grant rights to |
| redistribute the underlying third-party YouTube videos. VideoEval likewise |
| instructs users to download original media separately because of potential |
| copyright issues. |
|
|
| Consequently, this repository publishes only IDs, original-source URLs, |
| availability decisions, and qrels. MTEB downloads retained videos from their |
| original URLs into a local cache on first use. A later source disappearance is |
| reported as an error; the benchmark never silently changes its frozen corpus. |
|
|
| Users are responsible for complying with the original platforms' terms and |
| applicable law. Individual media rights remain with their respective owners. |
|
|
| ## Configurations |
|
|
| - `corpus`, `queries`: identifiers, source URLs, frozen availability status, |
| and duration metadata; |
| - `dsvr-qrels`, `csvr-qrels`, `isvr-qrels`: official binary relevance unions; |
| - `availability`: every ID from VideoEval's frozen manifest, including missing |
| items; |
| - `positive-losses`: lost positives per query and ND/DS/CS/IS label; |
| - `query-decisions`: retained/dropped query decisions. |
|
|
| The `audit/` directory contains the human-readable construction summary and |
| the full frozen availability/loss records. |
|
|
| ## Citations |
|
|
| ```bibtex |
| @article{kordopatis2019fivr, |
| author = {Kordopatis-Zilos, Giorgos and Papadopoulos, Symeon and Patras, Ioannis and Kompatsiaris, Ioannis}, |
| journal = {IEEE Transactions on Multimedia}, |
| title = {FIVR: Fine-grained Incident Video Retrieval}, |
| year = {2019} |
| } |
| |
| @inproceedings{kordopatis2019visil, |
| author = {Kordopatis-Zilos, Giorgos and Papadopoulos, Symeon and Patras, Ioannis and Kompatsiaris, Ioannis}, |
| booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision}, |
| title = {ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning}, |
| year = {2019} |
| } |
| |
| @article{li2024videoeval, |
| author = {Li, Xinhao and Huang, Zhenpeng and Wang, Jing and Li, Kunchang and Wang, Limin}, |
| journal = {arXiv preprint arXiv:2407.06491}, |
| title = {VideoEval: Comprehensive Benchmark Suite for Low-cost Evaluation of Video Foundation Model}, |
| year = {2024} |
| } |
| ``` |
|
|
