---
configs:
- config_name: corpus
  data_files:
  - split: test
    path: corpus/test-*
- config_name: queries
  data_files:
  - split: test
    path: queries/test-*
- config_name: qrels
  data_files:
  - split: test
    path: qrels/test-*
license: unknown
pretty_name: EVVE Video-to-Video Event Retrieval
---

# EVVE Video-to-Video Event Retrieval

This repository packages a fixed, self-contained evaluation set derived from
the EVent VidEo (EVVE) benchmark introduced by Revaud et al. at CVPR 2013.
Given a query video of a specific real-world event, the task is to retrieve
other videos depicting the same event.

## Original and packaged protocols

The published EVVE core contains 620 queries, 2,375 database videos, 13 events,
135,213 positive query/database judgments, and 166 hours of web video. The
original large-scale experiment additionally used 100,000 distractor videos.

The public S2VS EVVE feature artifact identifies a surviving 2,410-video layer
of the original core. A reproducible acquisition pass obtained 2,110 of those
videos from public media sources: 2,042 directly from their original YouTube
IDs and 68 from checksum-pinned public archive captures (67 Wayback Machine
captures and one Internet Archive item). Intersecting the 2,110-video manifest
with the checksum-pinned annotation snapshot yields:

- 466 query videos (154 fewer than the original core);
- 1,644 database videos (731 fewer than the original core);
- 13 events;
- 86,925 positive query/database relevance judgments;
- 958 database videos relevant to at
  least one event and 686 other core
  candidates;
- every retained query has at least one positive;
- zero query/corpus ID overlap.

The acquisition filter removed 300 IDs from the S2VS layer: 38 queries and 262
database videos (81 positive and 181 other database videos), eliminating 13,864
qrels. At freeze time, yt-dlp reported 95 private videos, 64 videos from
terminated accounts, 14 age-restricted videos, four copyright-claimed or
blocked videos, one terms-of-service removal, and 122 otherwise unavailable
videos. Exact attrition is reproducible as the set difference between
`construction/s2vs-2023-video-ids.txt` (2,410
IDs) and `construction/surviving-public-media-video-ids.txt`
(2,110 IDs).

Those two manifests and `construction/media-source-overrides.json` are frozen in
the immutable Hugging Face revision
[`88f505f0a77f0ee0a14f2d7e098aaea08507bbe5`](https://huggingface.co/datasets/Cerru02/EVVE/tree/88f505f0a77f0ee0a14f2d7e098aaea08507bbe5/construction).
They are not copied into the MTEB source tree. The construction script downloads
them from that revision and verifies these SHA-256 checksums before use:

- `s2vs-2023-video-ids.txt`: `d7a84d997fcc23c6bb10db1902203b5c0d6ad65c65c4f8257b4295c690fb1c1c`;
- `surviving-public-media-video-ids.txt`: `ebf63bd9f524a1ab15104657e0448ddd4a1cbfb5720795ca9569703fbffcb0e6`;
- `media-source-overrides.json`: `3fb004549047e942be5e193b816c4fb18efdfcf9c166cb949016d5b1fd184d6d`.

`media-manifest.jsonl` records the exact frozen ID, packaged filename, original
and acquisition URLs, byte count, and SHA-256 checksum for every video. The
manifest's own SHA-256 is `9ef60f6584b0ca6b2cfe9be6ba982d10b06cb37fc1d8ee52718a5f0349efa8fb`. Construction fails if any
frozen video is missing or contains no decodable frames, so later source
availability cannot silently alter the task. The complete frozen tree also
passed MTEB's TorchCodec 10-frame uniform sampler. `media-audit.json` records
final completeness and affected-qrel counts.

## Event coverage

Q/P means retained queries / positive database videos. All 13 official events
remain represented, and every packaged query has one or more packaged positives.

| Event | Original Q/P | S2VS Q/P | Packaged Q/P | Removed from S2VS Q/P |
|---|---:|---:|---:|---:|
| barcelona+riots+2012 | 13/27 | 11/17 | 9/13 | 2/4 |
| die+toten+hosen+rock+am+ring+2012 | 32/64 | 21/42 | 19/37 | 2/5 |
| dsk+arrested | 9/19 | 8/17 | 8/17 | 0/0 |
| egypt+Tahrir+Square+protestors | 36/72 | 32/62 | 31/59 | 1/3 |
| johnny+stade+de+france+2012 | 87/174 | 75/155 | 75/150 | 0/5 |
| kate+william+wedding | 44/88 | 30/61 | 25/55 | 5/6 |
| marrakech+bomb+attack | 4/10 | 3/8 | 3/6 | 0/2 |
| mdna+rome+2012 | 51/104 | 38/86 | 31/76 | 7/10 |
| obama+speech+victory | 14/29 | 11/22 | 10/21 | 1/1 |
| shakira+live+kiev+2011 | 19/39 | 10/24 | 8/23 | 2/1 |
| strokkur+geyser | 215/431 | 189/387 | 175/357 | 14/30 |
| thailand+flood+2011 | 73/148 | 55/115 | 52/106 | 3/9 |
| universal+studios+jurassic+park+ride | 23/47 | 21/43 | 20/38 | 1/5 |

## Construction and relevance

The source metadata identifies videos by YouTube ID. The construction script
downloads video at up to 360p with yt-dlp, without transcoding. Four IDs whose
progressive MP4 currently contains no media payload use separate complete
video-only and audio streams, which yt-dlp merges without transcoding. For
source IDs no longer downloadable from YouTube, checksum-pinned
public archive captures in `construction/media-source-overrides.json` are used.
The original and actual acquisition URLs remain separate in every row and in
`media-manifest.jsonl`. The resulting media is embedded in the Hugging Face
dataset. The `corpus`, `queries`, and `qrels` configurations use the standard
MTEB retrieval schema. Query rows also retain the EVVE event name and
event-specific ignored (`null`) database IDs required by the original evaluator
(the pinned annotation snapshot contains no retained `null` IDs).

For every retained query, positive qrels are the Cartesian product with all
retained positive database videos for the same official EVVE event. The
100,000-video distractor collection is not included because the original
distractor media is no longer publicly available.

This is a reproducible surviving-public-media subset of EVVE, not the complete
original benchmark. Because both the core corpus and distractor protocol differ,
published/source-paper scores are not directly comparable with results here.

## Media provenance and license

The media originated from the YouTube IDs published by EVVE; public archival
captures are used only where listed explicitly in the source-override manifest.
No applicable dataset-wide redistribution license for the original videos was
identified; the archived project page also contains no explicit third-party
redistribution prohibition. Copyright remains with the respective video rights
holders. Hugging Face card metadata therefore records the dataset-wide license
as `unknown`, while MTEB's `TaskMetadata` uses its corresponding value, `not
specified`. This provenance statement does not claim that video copyright was
transferred to EVVE or to this repository, or that redistribution is authorized.

The EVVE project page states separately that its software is BSD-licensed and
its released descriptors are free. The pinned S2VS source repository is
MIT-licensed. Those source-specific terms are not presented here as a license
for the packaged videos, so assigning BSD or MIT to the dataset as a whole would
be inaccurate.

| Component | License or status reported by its source |
|---|---|
| MTEB construction code | Apache-2.0 (MTEB repository license) |
| Pinned S2VS source repository | MIT |
| EVVE software and released descriptors | BSD / described as free on the EVVE project page |
| Packaged third-party videos | No dataset-wide license identified (`not specified`) |

## Sources

- [Archived EVVE project page](https://web.archive.org/web/20241102150758id_/http://pascal.inrialpes.fr/data2/evve/index.html)
- [Original paper](https://openaccess.thecvf.com/content_cvpr_2013/html/Revaud_Event_Retrieval_in_2013_CVPR_paper.html)
- [Pinned S2VS annotations](https://github.com/gkordo/s2vs/tree/03eb0c9a9a7455d132c4210b797fa6ef563b52ea)
- [S2VS MIT license](https://github.com/gkordo/s2vs/blob/03eb0c9a9a7455d132c4210b797fa6ef563b52ea/LICENSE)
- [S2VS EVVE feature artifact](https://mever.iti.gr/s2vs/features/evve.hdf5)

## Citation

```bibtex
@inproceedings{revaud2013event,
  author = {Revaud, Jerome and Douze, Matthijs and Schmid, Cordelia and Jegou, Herve},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages = {2459--2466},
  title = {Event Retrieval in Large Video Collections with Circulant Temporal Encoding},
  year = {2013}
}
```