diff --git a/.gitattributes b/.gitattributes index 2d90b710338ce82270bd84867a7b408790d4b5d6..96c5aed1dc71eca5b33d0833bd8da2ef9720d991 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,61 +1,11 @@ -*.7z filter=lfs diff=lfs merge=lfs -text -*.arrow filter=lfs diff=lfs merge=lfs -text -*.avro filter=lfs diff=lfs merge=lfs -text -*.bin filter=lfs diff=lfs merge=lfs -text -*.bz2 filter=lfs diff=lfs merge=lfs -text -*.ckpt filter=lfs diff=lfs merge=lfs -text -*.ftz filter=lfs diff=lfs merge=lfs -text -*.gz filter=lfs diff=lfs merge=lfs -text -*.h5 filter=lfs diff=lfs merge=lfs -text -*.joblib filter=lfs diff=lfs merge=lfs -text -*.lfs.* filter=lfs diff=lfs merge=lfs -text -*.lz4 filter=lfs diff=lfs merge=lfs -text -*.mds filter=lfs diff=lfs merge=lfs -text -*.mlmodel filter=lfs diff=lfs merge=lfs -text -*.model filter=lfs diff=lfs merge=lfs -text -*.msgpack filter=lfs diff=lfs merge=lfs -text -*.npy filter=lfs diff=lfs merge=lfs -text -*.npz filter=lfs diff=lfs merge=lfs -text -*.onnx filter=lfs diff=lfs merge=lfs -text -*.ot filter=lfs diff=lfs merge=lfs -text -*.parquet filter=lfs diff=lfs merge=lfs -text -*.pb filter=lfs diff=lfs merge=lfs -text -*.pickle filter=lfs diff=lfs merge=lfs -text -*.pkl filter=lfs diff=lfs merge=lfs -text -*.pt filter=lfs diff=lfs merge=lfs -text -*.pth filter=lfs diff=lfs merge=lfs -text -*.rar filter=lfs diff=lfs merge=lfs -text -*.safetensors filter=lfs diff=lfs merge=lfs -text -saved_model/**/* filter=lfs diff=lfs merge=lfs -text -*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar.gz filter=lfs diff=lfs merge=lfs -text +*.mp4 filter=lfs diff=lfs merge=lfs -text +*.mov filter=lfs diff=lfs merge=lfs -text *.tar filter=lfs diff=lfs merge=lfs -text -*.tflite filter=lfs diff=lfs merge=lfs -text -*.tgz filter=lfs diff=lfs merge=lfs -text -*.wasm filter=lfs diff=lfs merge=lfs -text -*.xz filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text -*.zst filter=lfs diff=lfs merge=lfs -text -*tfevents* filter=lfs diff=lfs merge=lfs -text -# Audio files - uncompressed -*.pcm filter=lfs diff=lfs merge=lfs -text -*.sam filter=lfs diff=lfs merge=lfs -text -*.raw filter=lfs diff=lfs merge=lfs -text -# Audio files - compressed -*.aac filter=lfs diff=lfs merge=lfs -text -*.flac filter=lfs diff=lfs merge=lfs -text -*.mp3 filter=lfs diff=lfs merge=lfs -text -*.ogg filter=lfs diff=lfs merge=lfs -text -*.wav filter=lfs diff=lfs merge=lfs -text -# Image files - uncompressed -*.bmp filter=lfs diff=lfs merge=lfs -text -*.gif filter=lfs diff=lfs merge=lfs -text -*.png filter=lfs diff=lfs merge=lfs -text -*.tiff filter=lfs diff=lfs merge=lfs -text -# Image files - compressed -*.jpg filter=lfs diff=lfs merge=lfs -text -*.jpeg filter=lfs diff=lfs merge=lfs -text -*.webp filter=lfs diff=lfs merge=lfs -text -# Video files - compressed -*.mp4 filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.avi filter=lfs diff=lfs merge=lfs -text +*.mkv filter=lfs diff=lfs merge=lfs -text *.webm filter=lfs diff=lfs merge=lfs -text data/**/meta-data/st_*.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md index 1f6d5a9505a846da9259bcc5c02b753d6a1a8bc0..5a042e05c58022b0c5d9a787463356314b966735 100644 --- a/README.md +++ b/README.md @@ -1,90 +1,118 @@ # AnyGroundBench Dataset -AnyGroundBench is a benchmark-style collection for temporal, spatial, and spatio-temporal grounding experiments. This repository provides unified metadata and split files for ten datasets, and includes video files only for the newly captured datasets released here. +AnyGroundBench is a benchmark-style collection for temporal, spatial, and spatio-temporal grounding experiments. -## Contents +This release is organized by domain. Metadata and split files are included for all domains. Video files are included only for the newly captured American Football and Mouse data. Videos from third-party datasets are not redistributed in this release. -The repository is organized as follows: +## Contents ```text . -├── data/ -│ └── / -│ ├── meta-data/ -│ │ ├── t_train.json -│ │ ├── t_test.json -│ │ ├── s_train.json -│ │ ├── s_test.json -│ │ ├── st_train.json -│ │ └── st_test.json -│ ├── data_splits/ -│ │ ├── train.txt -│ │ └── test.txt -│ └── videos/ # included only for newly captured video datasets -│ ├── 0/ -│ └── clips4spatial/ -├── dataset_doc/ -│ └── .md -├── LICENSE -└── README.md ++-- data/ +| +-- animal/ +| | +-- meta-data/ +| | +-- data_splits/ +| | `-- videos/ +| | +-- clips/ +| | `-- clips4spatial/ +| +-- industry/ +| | +-- meta-data/ +| | +-- data_splits/ +| | `-- videos/ +| | +-- clips/ +| | `-- clips4spatial/ +| +-- safety/ +| | +-- meta-data/ +| | +-- data_splits/ +| | `-- videos/ +| | +-- clips/ +| | `-- clips4spatial/ +| +-- sports/ +| | +-- meta-data/ +| | +-- data_splits/ +| | `-- videos/ +| | +-- clips/ +| | `-- clips4spatial/ +| `-- surgery/ +| +-- meta-data/ +| +-- data_splits/ +| `-- videos/ +| +-- clips/ +| `-- clips4spatial/ ++-- LICENSE +`-- README.md ``` -`meta-data/` and `data_splits/` are provided for all datasets. Videos are included only for the newly captured `american_football` and `mouse` datasets released here. For all third-party datasets, videos are not redistributed; users should obtain them from the original dataset providers and place them according to the per-dataset instructions in `dataset_doc/`. +Each domain contains the same metadata files: -## Datasets +```text +meta-data/ ++-- s_train.json ++-- s_test.json ++-- t_train.json ++-- t_test.json ++-- st_train.json +`-- st_test.json +``` -All datasets include `meta-data/` and `data_splits/`. The table below only marks whether videos are included in this repository. +Each domain also contains: -| Domain | Dataset | Videos included | Notes | -| --- | --- | --- | --- | -| Animal | `animal_kingdom` | | Obtain videos from the original provider | -| Animal | `mouse` | ✔︎ | Newly captured videos released here | -| Industry | `enigma` | | Obtain videos from the original provider | -| Industry | `meccano` | | Obtain videos from the original provider | -| Sports | `american_football` | ✔︎ | Newly captured videos released here | -| Sports | `multisports` | | Obtain videos from the original provider | -| Surgery | `cholectrack20` | | Obtain videos from the original provider | -| Surgery | `egosurgery` | | Obtain images/annotations from the original EgoSurgery release | -| Public Security | `dota` | | Obtain videos from the original provider | -| Public Security | `uca` | | UCA annotations are redistributed under Apache-2.0; UCF-Crime videos are not included | +```text +data_splits/ ++-- train.txt +`-- test.txt +``` -## Metadata Format +## Domains -Each dataset uses the same high-level metadata layout for temporal, spatial, and spatio-temporal grounding. +| Domain | Source datasets | Videos included in this release | +| --- | --- | --- | +| `animal` | `animal_kingdom`, `mouse` | Mouse only | +| `sports` | `american_football`, `multisports` | American Football only | +| `industry` | `enigma`, `meccano` | None | +| `safety` | `dota`, `uca` | None | +| `surgery` | `cholectrack20`, `egosurgery` | None | -### Temporal Grounding +## Video Layout -**Files** +Temporal and spatio-temporal videos are stored under: ```text -meta-data/ -├── t_train.json -└── t_test.json +data//videos/clips/.mp4 ``` +Spatial clips are stored under: + +```text +data//videos/clips4spatial/.mp4 +``` + +The old `videos/0/` layout is no longer used. + +In this release, `data/animal/videos/` contains only Mouse videos, and `data/sports/videos/` contains only American Football videos. The other domains include empty `clips/` and `clips4spatial/` directories for local reconstruction. + +## Metadata Format + +Temporal metadata files are `t_train.json` and `t_test.json`. + ```json { "video_name": "example_video", "temporal_range": "12.3 18.7", - "text": "A description or label for the target event." + "text": "A description or label for the target event.", + "domain": "sports", + "source_dataset": "american_football" } ``` - -### Spatial Grounding - -**Files** - -```text -meta-data/ -├── s_train.json -└── s_test.json -``` +Spatial metadata files are `s_train.json` and `s_test.json`. ```json { - "video_name": "example_clip", + "video_name": "american_football_train_0", "text": "A description or label for the target object.", + "domain": "sports", + "source_dataset": "american_football", "fps1_frame_id_0_1_demonstration": { "tubes": [ { @@ -99,44 +127,15 @@ meta-data/ } ``` -**Bounding Boxes** - -All datasets include the same three spatial bbox variants: - -- `fps1_frame_id_0_1_demonstration`: frame-ID keys with normalized `[x1, y1, x2, y2]` boxes. -- `fps1_timestamp_0_1000_yxyx_demonstration`: timestamp-like keys with pixel-space `[y1, x1, y2, x2]` boxes. -- `fps1_timestamp_0_1000_s_demonstration`: timestamp-like keys with pixel-space `[x1, y1, x2, y2]` boxes. - -In each variant, `bbox` maps frame or timestamp keys to bounding boxes. - -**Video Reference** - -`video_name` refers to: - -```text -data/ -└── / - └── videos/ - └── clips4spatial/ - └── .mp4 -``` - -### Spatio-Temporal Grounding - -**Files** - -```text -meta-data/ -├── st_train.json -└── st_test.json -``` - +Spatio-temporal metadata files are `st_train.json` and `st_test.json`. ```json { "video_name": "example_video", "temporal_range": "12.3 18.7", "text": "A description or label for the target event/object.", + "domain": "sports", + "source_dataset": "american_football", "meta_info": { "video_name": "example_video", "fps": 30.0, @@ -158,58 +157,11 @@ meta-data/ } ``` -**Bounding Boxes** - -`spatio_temporal_label.tubes[*].bbox` maps frame-ID keys to pixel-space boxes in `[x1, y1, x2, y2]` format. The frame IDs are stored as JSON object keys, and the coordinates are in the pixel coordinate system of the referenced video. - -**Video Reference** - -`video_name` refers to: - -```text -data/ -└── / - └── videos/ - └── 0/ - └── .mp4 -``` - -## Video Layout - -When videos are included or reconstructed, the expected layout is: - -```text -data/ -└── / - └── videos/ - ├── 0/ - │ └── .mp4 # used by temporal and spatio-temporal metadata - └── clips4spatial/ - └── .mp4 # used by spatial metadata -``` - -For datasets whose videos are not redistributed, create the expected `videos/` directory locally after obtaining the source data from the original provider. See `dataset_doc/.md` for dataset-specific reconstruction notes. - -## Dataset Documentation - -Detailed notes are split into separate files to keep this README compact: - -- [American Football](dataset_doc/american_football.md) -- [Mouse](dataset_doc/mouse.md) -- [Animal Kingdom](dataset_doc/animal_kingdom.md) -- [CholecTrack20](dataset_doc/cholectrack20.md) -- [DoTA](dataset_doc/dota.md) -- [EgoSurgery](dataset_doc/egosurgery.md) -- [ENIGMA](dataset_doc/enigma.md) -- [MECCANO](dataset_doc/meccano.md) -- [MultiSports](dataset_doc/multisports.md) -- [UCA](dataset_doc/uca.md) - -Each file describes the original source, what this repository includes, what is intentionally not redistributed, the expected local reconstruction layout, and dataset-specific caveats. +Bounding boxes use the coordinate format described by the corresponding field name. Spatial metadata includes normalized frame-ID boxes and timestamp-keyed pixel boxes. Spatio-temporal metadata stores frame-ID keyed pixel-space `[x1, y1, x2, y2]` boxes. ## Redistribution Policy -This repository releases videos only for the newly captured `american_football` and `mouse` datasets. For all third-party datasets, this repository provides metadata, split files, and documentation to help users reconstruct the expected local layout after obtaining the original data under the original provider's terms. UCA annotations are redistributed under the Apache-2.0 license as stated by the official UCA repository. The underlying UCF-Crime videos are not included in AnyGroundBench and must be obtained separately from the original UCF-Crime source. The official UCA materials describe the dataset as intended for academic and research purposes. +This repository releases videos only for the newly captured American Football and Mouse datasets. For all third-party datasets, this repository provides metadata and split files only; users must obtain source videos separately under the original provider terms. Users are responsible for complying with the licenses and usage terms of the original datasets. @@ -217,6 +169,4 @@ Users are responsible for complying with the licenses and usage terms of the ori The newly captured American Football videos, Mouse videos, and metadata released in this repository are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). -Third-party datasets remain governed by their original licenses and terms. See each file in `dataset_doc/` for dataset-specific notes. - -See `LICENSE` for details. +Third-party datasets remain governed by their original licenses and terms. diff --git a/data/american_football/data_splits/test.txt b/data/american_football/data_splits/test.txt deleted file mode 100644 index 11037cca855117c72d4bf93024ba3e314c37f095..0000000000000000000000000000000000000000 --- a/data/american_football/data_splits/test.txt +++ /dev/null @@ -1,37 +0,0 @@ -kc_wide_clip005.mp4 -kc_wide_clip011.mp4 -kc_wide_clip016.mp4 -kc_wide_clip022.mp4 -kc_wide_clip030.mp4 -kc_wide_clip032.mp4 -kc_wide_clip034.mp4 -kc_wide_clip036.mp4 -kc_wide_clip039.mp4 -kc_wide_clip044.mp4 -kc_wide_clip046.mp4 -kc_wide_clip056.mp4 -kc_wide_clip061.mp4 -kc_wide_clip063.mp4 -kc_wide_clip076.mp4 -kc_wide_clip079.mp4 -kc_wide_clip081.mp4 -kc_wide_clip084.mp4 -kc_wide_clip092.mp4 -kc_wide_clip098.mp4 -kc_wide_clip100.mp4 -kc_wide_clip105.mp4 -kc_wide_clip123.mp4 -kc_wide_clip127.mp4 -kc_wide_clip128.mp4 -kc_wide_clip130.mp4 -kc_wide_clip136.mp4 -kc_wide_clip137.mp4 -kc_wide_clip151.mp4 -kc_wide_clip152.mp4 -kc_wide_clip158.mp4 -kc_wide_clip160.mp4 -kc_wide_clip176.mp4 -ko_wide_clip005.mp4 -ko_wide_clip006.mp4 -ko_wide_clip011.mp4 -ko_wide_clip015.mp4 diff --git a/data/american_football/data_splits/train.txt b/data/american_football/data_splits/train.txt deleted file mode 100644 index dc7412eac739a8f2b8605a304a510ac554d06a8e..0000000000000000000000000000000000000000 --- a/data/american_football/data_splits/train.txt +++ /dev/null @@ -1,86 +0,0 @@ -kc_wide_clip002.mp4 -kc_wide_clip004.mp4 -kc_wide_clip007.mp4 -kc_wide_clip008.mp4 -kc_wide_clip009.mp4 -kc_wide_clip010.mp4 -kc_wide_clip012.mp4 -kc_wide_clip015.mp4 -kc_wide_clip018.mp4 -kc_wide_clip019.mp4 -kc_wide_clip023.mp4 -kc_wide_clip024.mp4 -kc_wide_clip027.mp4 -kc_wide_clip028.mp4 -kc_wide_clip029.mp4 -kc_wide_clip035.mp4 -kc_wide_clip038.mp4 -kc_wide_clip041.mp4 -kc_wide_clip042.mp4 -kc_wide_clip045.mp4 -kc_wide_clip047.mp4 -kc_wide_clip050.mp4 -kc_wide_clip054.mp4 -kc_wide_clip058.mp4 -kc_wide_clip065.mp4 -kc_wide_clip066.mp4 -kc_wide_clip067.mp4 -kc_wide_clip072.mp4 -kc_wide_clip073.mp4 -kc_wide_clip074.mp4 -kc_wide_clip077.mp4 -kc_wide_clip078.mp4 -kc_wide_clip082.mp4 -kc_wide_clip087.mp4 -kc_wide_clip090.mp4 -kc_wide_clip091.mp4 -kc_wide_clip094.mp4 -kc_wide_clip095.mp4 -kc_wide_clip102.mp4 -kc_wide_clip109.mp4 -kc_wide_clip110.mp4 -kc_wide_clip111.mp4 -kc_wide_clip113.mp4 -kc_wide_clip115.mp4 -kc_wide_clip117.mp4 -kc_wide_clip118.mp4 -kc_wide_clip120.mp4 -kc_wide_clip122.mp4 -kc_wide_clip124.mp4 -kc_wide_clip125.mp4 -kc_wide_clip126.mp4 -kc_wide_clip129.mp4 -kc_wide_clip131.mp4 -kc_wide_clip133.mp4 -kc_wide_clip139.mp4 -kc_wide_clip141.mp4 -kc_wide_clip144.mp4 -kc_wide_clip146.mp4 -kc_wide_clip147.mp4 -kc_wide_clip153.mp4 -kc_wide_clip154.mp4 -kc_wide_clip155.mp4 -kc_wide_clip157.mp4 -kc_wide_clip163.mp4 -kc_wide_clip164.mp4 -kc_wide_clip167.mp4 -kc_wide_clip168.mp4 -kc_wide_clip173.mp4 -kc_wide_clip175.mp4 -kc_wide_clip177.mp4 -kc_wide_clip178.mp4 -kc_wide_clip180.mp4 -kc_wide_clip181.mp4 -kc_wide_clip183.mp4 -kc_wide_clip185.mp4 -kc_wide_clip188.mp4 -kc_wide_clip194.mp4 -ko_wide_clip002.mp4 -ko_wide_clip003.mp4 -ko_wide_clip004.mp4 -ko_wide_clip007.mp4 -ko_wide_clip008.mp4 -ko_wide_clip009.mp4 -ko_wide_clip012.mp4 -ko_wide_clip013.mp4 -ko_wide_clip016.mp4 diff --git a/data/american_football/meta-data/s_test.json b/data/american_football/meta-data/s_test.json deleted file mode 100644 index 1f390fb8e5f212ca49eda0045000ae7fcfdd8b92..0000000000000000000000000000000000000000 --- a/data/american_football/meta-data/s_test.json +++ /dev/null @@ -1,3183 +0,0 @@ -{ - "test_0": { - "video_name": "test_0", - "text": "A ball carrier takes a handoff and runs with the ball.", - "fps1_timestamp_0_1000_yxyx_demonstration": { - "tubes": [ - { - "tube_index": 0, - "bbox": { - "0": [ - 638.6666666666666, - 734.5052083333334, - 749.4444444444445, - 790.8333333333334 - ], - "1": [ - 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], - "6": [ - 421.171875, - 594.8981481481482, - 465.6875, - 651.4537037037037 - ] - } - } - ] - } - }, - "test_1": { - "video_name": "test_1", - "text": "A kicker kicks the ball from the tee to start or restart play.", - "fps1_timestamp_0_1000_yxyx_demonstration": { - "tubes": [ - { - "tube_index": 0, - "bbox": { - "0": [ - 522.2222222222223, - 862.5, - 582.4074074074074, - 877.0833333333334 - ], - "1": [ - 510.18518518518516, - 797.3958333333333, - 547.2222222222223, - 810.4166666666666 - ] - } - } - ] - }, - "fps1_frame_id_0_1_demonstration": { - "tubes": [ - { - "tube_index": 0, - "bbox": { - "0": [ - 0.8625, - 0.5222222222222223, - 0.8770833333333333, - 0.5824074074074074 - ], - "30": [ - 0.7973958333333333, - 0.5101851851851852, - 0.8104166666666667, - 0.5472222222222223 - ] - } - } - ] - }, - "fps1_timestamp_0_1000_s_demonstration": { - "tubes": [ - { - "tube_index": 0, - "bbox": { - "0": [ - 862.5, - 522.2222222222223, - 877.0833333333334, - 582.4074074074074 - ], - "1": [ - 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a/data/animal_kingdom/meta-data/st_test.json b/data/animal_kingdom/meta-data/st_test.json deleted file mode 100644 index c91439431ee5d99eb46be35098efe8beee9a6daa..0000000000000000000000000000000000000000 --- a/data/animal_kingdom/meta-data/st_test.json +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:426a40eb49bd1fc99ebf7e765ee2ea130e4741844e712f51f397ad1644988134 -size 7186657 diff --git a/data/animal_kingdom/meta-data/st_train.json b/data/animal_kingdom/meta-data/st_train.json deleted file mode 100644 index b8f4cfdc6bb703181d3bdc0e9d8c14b2bef7d078..0000000000000000000000000000000000000000 --- a/data/animal_kingdom/meta-data/st_train.json +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f8b0f66bda3ff25df04dcaca9f6daf9de423f778e4ee85ee146b6d13410ef7ba -size 31153289 diff --git a/data/animal_kingdom/meta-data/t_test.json b/data/animal_kingdom/meta-data/t_test.json deleted file mode 100644 index b2cf6f51e053b50dbbec44ad6a044132f7e7a81e..0000000000000000000000000000000000000000 --- a/data/animal_kingdom/meta-data/t_test.json +++ /dev/null @@ -1,532 +0,0 @@ -{ - "test_0": { - "video_name": "BJVSVGCS", - "temporal_range": "0.0 11.0", - "text": "The lion retreats." - }, - "test_1": { - "video_name": "BUSLUUPH", - "temporal_range": "74.3 77.6", - "text": "The catfish is keeping still." - }, - "test_2": { - "video_name": "CUKXGHVR", - "temporal_range": "4.8 14.8", - "text": "The rat snake is sensing its environment." - }, - "test_3": { - "video_name": "CUKXGHVR", - "temporal_range": "14.9 21.7", - "text": "The rat snake is keeping still." - }, - "test_4": { - "video_name": "CUKXGHVR", - "temporal_range": "21.8 28.3", - "text": "The rat snake is moving." - }, - "test_5": { - "video_name": "DFVYQADM", - "temporal_range": "0.1 71.1", - "text": "The aesculapian snake disturbs another snake by coiling itself around the other snake." - }, - "test_6": { - "video_name": "DFVYQADM", - "temporal_range": "0.1 71.1", - "text": "The aesculapian snake is moving." - }, - "test_7": { - "video_name": "DMMXYNPO", - "temporal_range": "0.4 10.2", - "text": "The lion is attacking a group of hyenas." - }, - "test_8": { - "video_name": "DMMXYNPO", - "temporal_range": "11.8 15.3", - "text": "The lion is walking." - }, - "test_9": { - "video_name": "DMMXYNPO", - "temporal_range": "32.9 34.7", - "text": "The bird is flying." - }, - "test_10": { - "video_name": "DMMXYNPO", - "temporal_range": "32.9 37.7", - "text": "The lion is running." - }, - "test_11": { - "video_name": "DMMXYNPO", - "temporal_range": "34.9 36.4", - "text": "The lion is attending." - }, - "test_12": { - "video_name": "DMMXYNPO", - "temporal_range": "39.6 40.9", - "text": "The lion roars." - }, - "test_13": { - "video_name": "EQFPGUPH", - "temporal_range": "0.0 4.5", - "text": "The toad is walking." - }, - "test_14": { - "video_name": "EQTGZBQT", - "temporal_range": "5.4 9.7", - "text": "The raffles banded langur is sensing its environment." - }, - "test_15": { - "video_name": "EQTGZBQT", - "temporal_range": "9.7 10.9", - "text": "The raffles banded langur is keeping still." - }, - "test_16": { - "video_name": "EQTGZBQT", - "temporal_range": "12.9 13.7", - "text": "The raffles banded langur is sitting." - }, - "test_17": { - "video_name": "EXGVTHBS", - "temporal_range": "0.0 2.7", - "text": "The common chiffchaff bird is sensing its environment." - }, - "test_18": { - "video_name": "EXGVTHBS", - "temporal_range": "2.7 49.6", - "text": "The common chiffchaff bird is chirping." - }, - "test_19": { - "video_name": "GSISHNPL", - "temporal_range": "1.4 5.9", - "text": "The red-backed shrike bird is sensing its environment." - }, - "test_20": { - "video_name": "GSISHNPL", - "temporal_range": "6.0 7.9", - "text": "The red-backed shrike bird is biting a piece of food." - }, - "test_21": { - "video_name": "GSISHNPL", - "temporal_range": "8.0 8.5", - "text": "The red-backed shrike bird is flying." - }, - "test_22": { - "video_name": "GSISHNPL", - "temporal_range": "13.0 13.9", - "text": "The red-backed shrike bird is sharing its food." - }, - "test_23": { - "video_name": "GZUJCNPL", - "temporal_range": "3.8 4.9", - "text": "The bottlenose dolphin is diving." - }, - "test_24": { - "video_name": "GZUJCNPL", - "temporal_range": "5.5 7.8", - "text": "The bottlenose dolphin is swimming." - }, - "test_25": { - "video_name": "HHSKTNQN", - "temporal_range": "1.7 18.6", - "text": "The thrush nightingale bird is chirping." - }, - "test_26": { - "video_name": "HHSKTNQN", - "temporal_range": "6.9 7.8", - "text": "The thrush nightingale bird is keeping still." - }, - "test_27": { - "video_name": "HHSKTNQN", - "temporal_range": "12.6 13.8", - "text": "The thrush nightingale bird is attending." - }, - "test_28": { - "video_name": "JUKSRKDQ", - "temporal_range": "0.9 6.3", - "text": "The great egret makes a landing." - }, - "test_29": { - "video_name": "JUKSRKDQ", - "temporal_range": "6.3 9.7", - "text": "The great egret is sensing its environment." - }, - "test_30": { - "video_name": "JUKSRKDQ", - "temporal_range": "9.7 17.6", - "text": "The great egret is flying." - }, - "test_31": { - "video_name": "LCDEAVEI", - "temporal_range": "1.0 8.5", - "text": "The motacilla alba bird is biting a piece of dried grass." - }, - "test_32": { - "video_name": "LCDEAVEI", - "temporal_range": "4.2 5.4", - "text": "The motacilla alba bird is chirping." - }, - "test_33": { - "video_name": "LCDEAVEI", - "temporal_range": "8.6 13.1", - "text": "The motacilla alba bird is sensing its environment." - }, - "test_34": { - "video_name": "LCDEAVEI", - "temporal_range": "13.2 23.5", - "text": "The motacilla alba bird is eating." - }, - "test_35": { - "video_name": "LCDEAVEI", - "temporal_range": "16.8 18.1", - "text": "The motacilla alba bird is walking." - }, - "test_36": { - "video_name": "LZRFXXSF", - "temporal_range": "40.9 41.7", - "text": "The great grey shrike is flying." - }, - "test_37": { - "video_name": "LZRFXXSF", - "temporal_range": "50.3 60.3", - "text": "The great grey shrike is eating." - }, - "test_38": { - "video_name": "MZNPQPNE", - "temporal_range": "10.0 16.7", - "text": "The banana slug is moving." - }, - "test_39": { - "video_name": "NITQEIJJ", - "temporal_range": "12.3 21.0", - "text": "The king cobra is sensing its environment." - }, - "test_40": { - "video_name": "PGUYLXGD", - "temporal_range": "12.6 14.2", - "text": "The brown horse unmounts from another horse." - }, - "test_41": { - "video_name": "PGUYLXGD", - "temporal_range": "14.2 15.5", - "text": "The horse flees after getting a back kick from the other horse." - }, - "test_42": { - "video_name": "PGUYLXGD", - "temporal_range": "16.7 18.2", - "text": "The horse is turning around." - }, - "test_43": { - "video_name": "PGUYLXGD", - "temporal_range": "16.7 18.2", - "text": "The horse is walking." - }, - "test_44": { - "video_name": "PGUYLXGD", - "temporal_range": "20.4 22.7", - "text": "The horse is sensing its environment." - }, - "test_45": { - "video_name": "PGUYLXGD", - "temporal_range": "23.7 24.5", - "text": "The horse is performing copulatory mounting." - }, - "test_46": { - "video_name": "PLHQUBOE", - "temporal_range": "22.2 24.1", - "text": "The nightingale bird is attending." - }, - "test_47": { - "video_name": "PLHQUBOE", - "temporal_range": "24.2 49.7", - "text": "The nightingale bird is chirping." - }, - "test_48": { - "video_name": "PLHQUBOE", - "temporal_range": "35.1 37.9", - "text": "The nightingale bird is sensing its environment." - }, - "test_49": { - "video_name": "QWMTTKEW", - "temporal_range": "3.0 8.1", - "text": "The pelican is eating." - }, - "test_50": { - "video_name": "QWMTTKEW", - "temporal_range": "8.2 13.9", - "text": "The pelican does a backward tilt." - }, - "test_51": { - "video_name": "QWMTTKEW", - "temporal_range": "8.2 13.9", - "text": "The pelican is yawning." - }, - "test_52": { - "video_name": "QWMTTKEW", - "temporal_range": "16.6 17.7", - "text": "A pika is carrying a bouquet in its mouth." - }, - "test_53": { - "video_name": "QWMTTKEW", - "temporal_range": "16.6 17.7", - "text": "The pika is jumping." - }, - "test_54": { - "video_name": "QWMTTKEW", - "temporal_range": "17.8 18.6", - "text": "The pika is eating." - }, - "test_55": { - "video_name": "QWMTTKEW", - "temporal_range": "23.7 25.8", - "text": "The pika is running." - }, - "test_56": { - "video_name": "QWMTTKEW", - "temporal_range": "30.9 36.6", - "text": "The pika is biting a stalk of flower." - }, - "test_57": { - "video_name": "SNRJGMZL", - "temporal_range": "20.2 22.1", - "text": "The butterfly is keeping still." - }, - "test_58": { - "video_name": "SNRJGMZL", - "temporal_range": "28.0 31.1", - "text": "The greta oto glasswing butterfly is flapping its wings." - }, - "test_59": { - "video_name": "SNRJGMZL", - "temporal_range": "31.2 34.5", - "text": "The greta oto glasswing butterfly is keeping still." - }, - "test_60": { - "video_name": "SNRJGMZL", - "temporal_range": "34.6 37.6", - "text": "The greta oto glasswing butterfly is sensing its environment." - }, - "test_61": { - "video_name": "TIVDZSBA", - "temporal_range": "3.8 15.3", - "text": "The bird is eating." - }, - "test_62": { - "video_name": "TIVDZSBA", - "temporal_range": "15.4 17.4", - "text": "The bird is walking." - }, - "test_63": { - "video_name": "TIVDZSBA", - "temporal_range": "17.7 18.8", - "text": "The bird is urinating." - }, - "test_64": { - "video_name": "TJUOPEBY", - "temporal_range": "5.6 7.2", - "text": "The fox is attending." - }, - "test_65": { - "video_name": "TJUOPEBY", - "temporal_range": "7.3 11.1", - "text": "The fox is digging." - }, - "test_66": { - "video_name": "TJUOPEBY", - "temporal_range": "8.6 16.5", - "text": "The fox is jumping." - }, - "test_67": { - "video_name": "TJUOPEBY", - "temporal_range": "16.6 22.5", - "text": "The fox is sensing its environment." - }, - "test_68": { - "video_name": "TJUOPEBY", - "temporal_range": "22.7 25.0", - 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weaver ant is eating." - }, - "test_92": { - "video_name": "UQZQABQT", - "temporal_range": "71.0 77.2", - "text": "The millipede is moving." - }, - "test_93": { - "video_name": "VRTMHLHH", - "temporal_range": "6.0 9.0", - "text": "The frog is moving." - }, - "test_94": { - "video_name": "VRTMHLHH", - "temporal_range": "7.2 7.4", - "text": "The frog is jumping." - }, - "test_95": { - "video_name": "VRTMHLHH", - "temporal_range": "7.8 9.0", - "text": "The frog makes a landing." - }, - "test_96": { - "video_name": "VRTMHLHH", - "temporal_range": "15.9 18.0", - "text": "The frog is attending." - }, - "test_97": { - "video_name": "VRTMHLHH", - "temporal_range": "18.1 19.6", - "text": "The frog is performing sexual display." - }, - "test_98": { - "video_name": "VRTMHLHH", - "temporal_range": "19.6 20.6", - "text": "The frog is grooming itself." - }, - "test_99": { - "video_name": "VRTMHLHH", - "temporal_range": "21.9 25.0", - "text": "The frog fights with the frog that jumps on its back." - }, - "test_100": { - "video_name": "WCTJCXYT", - "temporal_range": "0.7 1.4", - "text": "The raven is lying down." - }, - "test_101": { - "video_name": "WCTJCXYT", - "temporal_range": "1.4 4.3", - "text": "The raven is preening itself." - }, - "test_102": { - "video_name": "WCTJCXYT", - "temporal_range": "9.7 12.0", - "text": "The raven rubs its head." - }, - "test_103": { - "video_name": "WCTJCXYT", - "temporal_range": "12.0 13.5", - "text": "The raven is standing." - }, - "test_104": { - "video_name": "WCTJCXYT", - "temporal_range": "13.5 14.1", - "text": "The raven is shaking its head." - }, - "test_105": { - "video_name": "YJUUYOQU", - "temporal_range": "71.8 79.9", - "text": "The snake is sensing its environment." - } -} diff --git a/data/animal_kingdom/meta-data/t_train.json b/data/animal_kingdom/meta-data/t_train.json deleted file mode 100644 index f26322f9c97d4c132f51c0ae6072ef7002a2f24e..0000000000000000000000000000000000000000 --- a/data/animal_kingdom/meta-data/t_train.json 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a/data/cholectrack20/data_splits/test.txt +++ /dev/null @@ -1,27 +0,0 @@ -VID06_17.mp4 -VID06_3.mp4 -VID06_4.mp4 -VID07_15.mp4 -VID07_19.mp4 -VID07_2.mp4 -VID07_3.mp4 -VID07_4.mp4 -VID07_5.mp4 -VID07_8.mp4 -VID111_1.mp4 -VID111_4.mp4 -VID111_8.mp4 -VID111_9.mp4 -VID25_15.mp4 -VID25_17.mp4 -VID25_19.mp4 -VID25_9.mp4 -VID92_1.mp4 -VID92_11.mp4 -VID92_12.mp4 -VID92_16.mp4 -VID92_17.mp4 -VID92_2.mp4 -VID92_6.mp4 -VID92_8.mp4 -VID92_9.mp4 diff --git a/data/cholectrack20/data_splits/train.txt b/data/cholectrack20/data_splits/train.txt deleted file mode 100644 index 81ba951581d7cea0fd203798128cccc0cbb4b50f..0000000000000000000000000000000000000000 --- a/data/cholectrack20/data_splits/train.txt +++ /dev/null @@ -1,16 +0,0 @@ -VID02_11.mp4 -VID02_13.mp4 -VID02_14.mp4 -VID02_15.mp4 -VID02_9.mp4 -VID103_18.mp4 -VID103_8.mp4 -VID110_2.mp4 -VID110_9.mp4 -VID11_12.mp4 -VID11_18.mp4 -VID31_10.mp4 -VID31_13.mp4 -VID31_17.mp4 -VID31_19.mp4 -VID31_9.mp4 diff --git 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mode 100644 index 706bfd8f59b63027a1c8864e37579beb7911a994..0000000000000000000000000000000000000000 --- a/data/enigma/data_splits/train.txt +++ /dev/null @@ -1,61 +0,0 @@ -ENIGMA_044_006 -ENIGMA_044_022 -ENIGMA_055_000 -ENIGMA_055_003 -ENIGMA_055_011 -ENIGMA_055_028 -ENIGMA_056_000 -ENIGMA_056_003 -ENIGMA_056_013 -ENIGMA_056_017 -ENIGMA_056_029 -ENIGMA_058_000 -ENIGMA_058_003 -ENIGMA_058_017 -ENIGMA_058_026 -ENIGMA_060_011 -ENIGMA_060_030 -ENIGMA_063_016 -ENIGMA_063_018 -ENIGMA_063_022 -ENIGMA_069_008 -ENIGMA_069_012 -ENIGMA_069_014 -ENIGMA_069_015 -ENIGMA_069_031 -ENIGMA_072_000 -ENIGMA_072_006 -ENIGMA_072_016 -ENIGMA_072_019 -ENIGMA_072_032 -ENIGMA_074_003 -ENIGMA_074_022 -ENIGMA_076_011 -ENIGMA_076_032 -ENIGMA_079_000 -ENIGMA_079_003 -ENIGMA_079_006 -ENIGMA_079_017 -ENIGMA_079_028 -ENIGMA_079_032 -ENIGMA_079_039 -ENIGMA_081_010 -ENIGMA_081_026 -ENIGMA_081_030 -ENIGMA_083_017 -ENIGMA_083_030 -ENIGMA_083_042 -ENIGMA_102_004 -ENIGMA_102_012 -ENIGMA_102_031 -ENIGMA_102_044 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{ - "video_name": "ENIGMA_079_003", - "temporal_range": "0.879470 7.312470", - "text": "the low voltage board being touched" - }, - "train_97": { - "video_name": "ENIGMA_079_006", - "temporal_range": "13.579823 17.579823", - "text": "the low voltage board being touched" - }, - "train_98": { - "video_name": "ENIGMA_079_006", - "temporal_range": "155.479823 160.079823", - "text": "the welder station being touched" - }, - "train_99": { - "video_name": "ENIGMA_079_006", - "temporal_range": "162.679823 163.679823", - "text": "the socket 3 being touched" - }, - "train_100": { - "video_name": "ENIGMA_079_017", - "temporal_range": "0.876892 3.309892", - "text": "the oscilloscope being touched" - }, - "train_101": { - "video_name": "ENIGMA_079_028", - "temporal_range": "2.309299 27.942299", - "text": "the low voltage board being touched" - }, - "train_102": { - "video_name": "ENIGMA_079_032", - "temporal_range": "0.235112 1.335112", - "text": "the oscilloscope being touched" - }, - "train_103": { - "video_name": "ENIGMA_079_039", - "temporal_range": "1.708503 3.841503", - "text": "the low voltage board being touched" - }, - "train_104": { - "video_name": "ENIGMA_079_039", - "temporal_range": "94.408503 95.008503", - "text": "the socket 4 being touched" - }, - "train_105": { - "video_name": "ENIGMA_079_039", - "temporal_range": "138.375503 139.641503", - "text": "the left red button being touched" - }, - "train_106": { - "video_name": "ENIGMA_079_039", - "temporal_range": "140.175503 140.741503", - "text": "the right red button being touched" - }, - "train_107": { - "video_name": "ENIGMA_081_010", - "temporal_range": "0.800877 1.966877", - "text": "the oscilloscope being touched" - }, - "train_108": { - "video_name": "ENIGMA_081_026", - "temporal_range": "1.118828 3.585828", - "text": "the oscilloscope being touched" - }, - "train_109": { - "video_name": "ENIGMA_081_030", - "temporal_range": "20.478420 23.644420", - "text": "the oscilloscope being touched" - }, - "train_110": { - "video_name": "ENIGMA_081_030", - "temporal_range": "28.144420 28.978420", - "text": "the socket 2 being touched" - }, - "train_111": { - "video_name": "ENIGMA_081_030", - "temporal_range": "44.744420 51.578420", - "text": "the high voltage board being touched" - }, - "train_112": { - "video_name": "ENIGMA_081_030", - "temporal_range": "111.211420 123.744420", - "text": "the electric screwdriver being taken" - }, - "train_113": { - "video_name": "ENIGMA_081_030", - "temporal_range": "129.978420 130.478420", - "text": "the socket 4 being touched" - }, - "train_114": { - "video_name": "ENIGMA_081_030", - "temporal_range": "180.778420 181.511420", - "text": "the right red button being touched" - }, - "train_115": { - "video_name": "ENIGMA_081_030", - "temporal_range": "181.911420 182.478420", - "text": "the left red button being touched" - }, - "train_116": { - "video_name": "ENIGMA_083_017", - "temporal_range": "0.332581 1.299581", - "text": "the oscilloscope being touched" - }, - "train_117": { - "video_name": "ENIGMA_083_030", - "temporal_range": "0.460561 1.460561", - "text": "the low voltage board being touched" - }, - "train_118": { - "video_name": "ENIGMA_083_042", - "temporal_range": "4.660287 6.326287", - "text": "the oscilloscope being touched" - }, - "train_119": { - "video_name": "ENIGMA_102_004", - "temporal_range": "1.378016 4.878016", - "text": "the low voltage board being touched" - }, - "train_120": { - "video_name": "ENIGMA_102_012", - "temporal_range": "44.635268 50.569268", - "text": "the low voltage board being touched" - }, - "train_121": { - "video_name": "ENIGMA_102_012", - "temporal_range": "211.635268 216.669268", - "text": "the welder station being touched" - }, - "train_122": { - "video_name": "ENIGMA_102_012", - "temporal_range": "219.535268 220.169268", - "text": "the socket 3 being touched" - }, - "train_123": { - "video_name": "ENIGMA_102_031", - "temporal_range": "0.107109 1.107109", - "text": "the oscilloscope being touched" - }, - "train_124": { - "video_name": "ENIGMA_102_044", - "temporal_range": "0.542632 4.042632", - "text": "the low voltage board being touched" - }, - "train_125": { - "video_name": "ENIGMA_104_000", - "temporal_range": "11.002863 11.602863", - "text": "the left green button being touched" - }, - "train_126": { - "video_name": "ENIGMA_104_000", - "temporal_range": "12.069863 12.736863", - "text": "the right green button being touched" - }, - "train_127": { - "video_name": "ENIGMA_104_000", - "temporal_range": "26.702863 31.536863", - "text": "the high voltage board being taken" - }, - "train_128": { - "video_name": "ENIGMA_104_000", - "temporal_range": "98.102863 112.202863", - "text": "the high voltage board being touched" - }, - "train_129": { - "video_name": "ENIGMA_104_000", - "temporal_range": "118.636863 119.336863", - "text": "the socket 1 being touched" - }, - "train_130": { - "video_name": "ENIGMA_104_000", - "temporal_range": "125.602863 138.936863", - "text": "the power supply 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socket 3 being touched" - }, - "train_138": { - "video_name": "ENIGMA_105_004", - "temporal_range": "98.594991 111.261991", - "text": "the welder station being touched" - }, - "train_139": { - "video_name": "ENIGMA_105_009", - "temporal_range": "0.635739 4.335739", - "text": "the oscilloscope being touched" - }, - "train_140": { - "video_name": "ENIGMA_105_019", - "temporal_range": "2.386240 10.952240", - "text": "the welder station being touched" - }, - "train_141": { - "video_name": "ENIGMA_105_019", - "temporal_range": "195.719240 199.419240", - "text": "the low voltage board being touched" - }, - "train_142": { - "video_name": "ENIGMA_105_019", - "temporal_range": "206.286240 208.719240", - "text": "the low voltage board being taken" - }, - "train_143": { - "video_name": "ENIGMA_105_024", - "temporal_range": "1.746943 4.679943", - "text": "the oscilloscope being touched" - }, - "train_144": { - "video_name": "ENIGMA_111_021", - "temporal_range": "4.669639 14.336639", - "text": "the 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welder station being touched" - } -} diff --git a/data/meccano/data_splits/test.txt b/data/meccano/data_splits/test.txt deleted file mode 100644 index ba673131c08ce14693b702b41694e9680900d04e..0000000000000000000000000000000000000000 --- a/data/meccano/data_splits/test.txt +++ /dev/null @@ -1,55 +0,0 @@ -0008_12.mp4 -0008_19.mp4 -0008_2.mp4 -0008_20.mp4 -0008_23.mp4 -0008_24.mp4 -0008_4.mp4 -0008_6.mp4 -0008_8.mp4 -0008_9.mp4 -0009_15.mp4 -0009_27.mp4 -0009_28.mp4 -0009_9.mp4 -0010_1.mp4 -0010_14.mp4 -0010_17.mp4 -0010_29.mp4 -0010_9.mp4 -0011_13.mp4 -0011_15.mp4 -0011_19.mp4 -0011_20.mp4 -0011_6.mp4 -0011_8.mp4 -0011_9.mp4 -0012_0.mp4 -0012_10.mp4 -0012_11.mp4 -0012_13.mp4 -0012_14.mp4 -0012_18.mp4 -0012_28.mp4 -0012_3.mp4 -0012_5.mp4 -0012_8.mp4 -0019_1.mp4 -0019_15.mp4 -0019_24.mp4 -0019_26.mp4 -0019_28.mp4 -0019_29.mp4 -0020_1.mp4 -0020_11.mp4 -0020_13.mp4 -0020_15.mp4 -0020_16.mp4 -0020_2.mp4 -0020_22.mp4 -0020_24.mp4 -0020_26.mp4 -0020_27.mp4 -0020_28.mp4 -0020_29.mp4 -0020_9.mp4 diff --git a/data/meccano/data_splits/train.txt b/data/meccano/data_splits/train.txt deleted file mode 100644 index b7e3ef87cfafab4f15bb771a7c215665b1864e76..0000000000000000000000000000000000000000 --- a/data/meccano/data_splits/train.txt +++ /dev/null @@ -1,114 +0,0 @@ -0001_14.mp4 -0001_19.mp4 -0001_2.mp4 -0001_21.mp4 -0001_24.mp4 -0001_25.mp4 -0001_27.mp4 -0001_29.mp4 -0001_4.mp4 -0001_6.mp4 -0001_7.mp4 -0001_8.mp4 -0002_13.mp4 -0002_16.mp4 -0002_17.mp4 -0002_19.mp4 -0002_21.mp4 -0002_27.mp4 -0002_29.mp4 -0002_3.mp4 -0002_5.mp4 -0002_7.mp4 -0003_1.mp4 -0003_11.mp4 -0003_16.mp4 -0003_19.mp4 -0003_2.mp4 -0003_23.mp4 -0003_29.mp4 -0003_3.mp4 -0003_8.mp4 -0003_9.mp4 -0004_10.mp4 -0004_11.mp4 -0004_12.mp4 -0004_13.mp4 -0004_15.mp4 -0004_20.mp4 -0004_6.mp4 -0004_7.mp4 -0004_8.mp4 -0005_1.mp4 -0005_10.mp4 -0005_11.mp4 -0005_12.mp4 -0005_20.mp4 -0005_27.mp4 -0005_6.mp4 -0006_11.mp4 -0006_12.mp4 -0006_15.mp4 -0006_2.mp4 -0006_24.mp4 -0006_27.mp4 -0006_6.mp4 -0006_7.mp4 -0006_8.mp4 -0007_0.mp4 -0007_10.mp4 -0007_13.mp4 -0007_15.mp4 -0007_17.mp4 -0007_19.mp4 -0007_26.mp4 -0007_27.mp4 -0007_3.mp4 -0007_5.mp4 -0007_6.mp4 -0007_7.mp4 -0007_8.mp4 -0013_10.mp4 -0013_14.mp4 -0013_19.mp4 -0013_2.mp4 -0013_28.mp4 -0013_29.mp4 -0013_5.mp4 -0014_0.mp4 -0014_2.mp4 -0014_20.mp4 -0014_21.mp4 -0014_22.mp4 -0014_25.mp4 -0014_29.mp4 -0014_6.mp4 -0015_1.mp4 -0015_13.mp4 -0015_14.mp4 -0015_16.mp4 -0015_23.mp4 -0015_3.mp4 -0015_4.mp4 -0015_6.mp4 -0016_12.mp4 -0016_17.mp4 -0016_22.mp4 -0016_23.mp4 -0016_24.mp4 -0016_25.mp4 -0016_28.mp4 -0016_5.mp4 -0016_8.mp4 -0017_0.mp4 -0017_12.mp4 -0017_18.mp4 -0017_19.mp4 -0017_21.mp4 -0017_4.mp4 -0018_12.mp4 -0018_15.mp4 -0018_17.mp4 -0018_20.mp4 -0018_4.mp4 -0018_6.mp4 diff --git a/data/meccano/meta-data/s_test.json b/data/meccano/meta-data/s_test.json deleted file mode 100644 index 4b8a013d7ed35d4da9796817fbef50de228e5adb..0000000000000000000000000000000000000000 --- a/data/meccano/meta-data/s_test.json +++ /dev/null @@ -1,6107 +0,0 @@ -{ - 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"test_0": { - "video_name": "Assault039_x264", - "temporal_range": "4.5 8.7", - "text": "The African-American man beat another African-American man in blue in the room." - }, - "test_1": { - "video_name": "Burglary065_x264", - "temporal_range": "90.1 110.3", - "text": "The ma who appeared at the door opened the courtyard door further." - }, - "test_2": { - "video_name": "Burglary065_x264", - "temporal_range": "213.8 216.3", - "text": "Close the car door and turn back." - }, - "test_3": { - "video_name": "Burglary075_x264", - "temporal_range": "45.5 55.6", - "text": "A man rode a bicycle from far away on the street to a building." - }, - "test_4": { - "video_name": "Explosion016_x264", - "temporal_range": "3.3 29.3", - "text": "An explosion occurred in the distant building, and white smoke came out after a burst of fire." - }, - "test_5": { - "video_name": "Fighting042_x264", - "temporal_range": "25.8 29.2", - "text": "The man in the hat walked away, the man inside the door resisted the door" - }, - "test_6": { - "video_name": "Fighting042_x264", - "temporal_range": "30.8 38.2", - "text": "The man in the hat came back with a gun and tried to snatch the gun from the security guard" - }, - "test_7": { - "video_name": "Normal_Videos592_x264", - "temporal_range": "59.2 69.0", - "text": "The silver car drives towards the road below," - }, - "test_8": { - "video_name": "Normal_Videos599_x264", - "temporal_range": "0.0 8.3", - "text": "The woman in white above is also making a call, and the man in gray next to her is standing and looking at the man in plaid." - }, - "test_9": { - "video_name": "Normal_Videos599_x264", - "temporal_range": "44.5 59.1", - "text": "The man in gray walked to the lower right workstation, took out a bottle and gave it to the man in purple." - }, - "test_10": { - "video_name": "RoadAccidents126_x264", - "temporal_range": "0.4 10.3", - "text": "Train moving" - }, - "test_11": { - "video_name": "RoadAccidents126_x264", - "temporal_range": "13.3 31.4", - "text": "The following carriages collided" - }, - "test_12": { - "video_name": "Robbery099_x264", - "temporal_range": "5.8 9.7", - "text": "The mam pointed his finger." - }, - "test_13": { - "video_name": "Robbery099_x264", - "temporal_range": "39.5 43.8", - "text": "The man with the gun quickly ran back into the house." - }, - "test_14": { - "video_name": "Shooting044_x264", - "temporal_range": "0.0 15.5", - "text": "A white car passed by the road." - }, - "test_15": { - "video_name": "Shoplifting037_x264", - "temporal_range": "11.8 14.6", - "text": "The boss took out a necklace and put it on the table" - }, - "test_16": { - "video_name": "Shoplifting037_x264", - "temporal_range": "21.0 26.7", - "text": "The boss opened the jewelry box and closed it again" - }, - "test_17": { - "video_name": "Shoplifting037_x264", - "temporal_range": "26.0 33.7", - "text": "Then he gave all the jewelry boxes in his hand to the woman next to him and put them on the table." - }, - "test_18": { - "video_name": "Shoplifting037_x264", - "temporal_range": "34.0 38.0", - "text": "The boss left his seat and the man was playing with the necklace on the table" - } -} diff --git a/data/uca/meta-data/t_train.json b/data/uca/meta-data/t_train.json deleted file mode 100644 index b19cd58c47daba2a5574a43e696f56ace989da68..0000000000000000000000000000000000000000 --- a/data/uca/meta-data/t_train.json +++ /dev/null @@ -1,402 +0,0 @@ -{ - "train_0": { - "video_name": "Abuse045_x264", - "temporal_range": "0.0 12.0", - "text": "The woman lying on the sofa kicked the old man sitting next to her, and then kicked her twice more." - }, - "train_1": { - "video_name": "Abuse045_x264", - "temporal_range": "27.4 37.6", - "text": "The woman pressed the old man on the sofa and shook it vigorously" - }, - "train_2": { - "video_name": "Abuse045_x264", - "temporal_range": "78.3 87.3", - "text": "The woman walked to the side of the sofa and pushed the old man’s head, then walked out the door." - }, - "train_3": { - "video_name": "Abuse045_x264", - "temporal_range": "88.5 108.5", - "text": "The old man wearing a blue vest on the sofa wanted to stand up, but kept stooping, and finally sat down holding on to the armrest of the sofa." - }, - "train_4": { - "video_name": "Abuse045_x264", - "temporal_range": "112.4 124.6", - "text": "The woman stepped forward and slapped the old man on the head hard." - }, - "train_5": { - "video_name": "Abuse045_x264", - "temporal_range": "125.5 132.2", - "text": "The woman stepped forward and grabbed the old man’s armpits with both hands and pulled her up. " - }, - "train_6": { - "video_name": "Arrest019_x264", - "temporal_range": "0.0 1.2", - "text": "Two policemen drove a motorcycle and parked next to a green taxi." - }, - "train_7": { - "video_name": "Arrest019_x264", - "temporal_range": "25.4 35.5", - "text": "The green taxi fled on the road and turned left at the intersection. The police were chasing behind them on motorcycles." - }, - "train_8": { - "video_name": "Arrest036_x264", - "temporal_range": "0.0 2.8", - "text": "A person leaves the room." - }, - "train_9": { - "video_name": "Arrest036_x264", - "temporal_range": "3.1 11.7", - "text": "A man in a gray suit took a few pieces of paper from the table next to him and walked back to a woman in a black coat." - }, - "train_10": { - "video_name": "Arrest036_x264", - "temporal_range": "26.7 31.1", - "text": "The man in police uniform grabbed the blonde woman’s hand, and the woman resisted." - }, - "train_11": { - "video_name": "Assault014_x264", - "temporal_range": "5.0 8.8", - "text": "The man went around to the car door and opened it to get in the car." - }, - "train_12": { - "video_name": "Assault014_x264", - "temporal_range": "25.9 28.4", - "text": "The man who hit the man hit the car a few more times, then turned around and ran away." - }, - "train_13": { - "video_name": "Assault014_x264", - "temporal_range": "38.8 57.7", - "text": "The man in white appeared with the dog. After running a few steps forward, he walked towards the car and talked to the owner." - }, - "train_14": { - "video_name": "Assault014_x264", - "temporal_range": "56.9 62.8", - "text": "A car came from the opposite direction and stopped to talk to them." - }, - "train_15": { - "video_name": "Assault052_x264", - "temporal_range": "1.8 9.2", - "text": "At night, a man ran across the road and rushed to the door of the McDonald's restaurant, pushing two of the people standing at the door to the ground." - }, - "train_16": { - "video_name": "Burglary010_x264", - "temporal_range": "135.7 140.5", - "text": "Another person came over and came to the cash machine." - }, - "train_17": { - "video_name": "Burglary010_x264", - "temporal_range": "158.9 160.3", - "text": "A person left" - }, - "train_18": { - "video_name": "Burglary010_x264", - "temporal_range": "170.9 180.2", - "text": "One of the remaining two people, who has a black bag, ignited the gunpowder placed at the door of the cash machine." - }, - "train_19": { - "video_name": "Burglary055_x264", - "temporal_range": "48.5 50.2", - "text": "The man opened the front door of the car and got into the pickup truck." - }, - "train_20": { - "video_name": "Fighting011_x264", - "temporal_range": "74.2 85.9", - "text": "The man in black took off his clothes and beat the man in white to the fence." - }, - "train_21": { - "video_name": "Fighting011_x264", - "temporal_range": "88.0 96.5", - "text": "A shirtless man continues to hit a man in a white striped shirt" - }, - "train_22": { - "video_name": "Fighting011_x264", - "temporal_range": "96.2 101.5", - "text": "The man was knocked unconscious by a stun gun and the police entered" - }, - "train_23": { - "video_name": "Fighting029_x264", - "temporal_range": "94.6 119.2", - "text": "One person picked up a wine bottle from the wine cabinet and attacked" - }, - "train_24": { - "video_name": "Normal_Videos017_x264", - "temporal_range": "0.0 9.8", - "text": "A long-haired lady in gray clothes is standing behind the counter, looking at the documents in front of her. " - }, - "train_25": { - "video_name": "Normal_Videos083_x264", - "temporal_range": "9.2 18.2", - "text": "In the corner of a shopping mall, a man in a blue shirt came over carrying something yellow" - }, - "train_26": { - "video_name": "Normal_Videos085_x264", - "temporal_range": "11.2 14.6", - "text": "The man in black twists the computer screen on the table and the cards standing on the table with his hands" - }, - "train_27": { - "video_name": "Normal_Videos085_x264", - "temporal_range": "66.2 73.5", - "text": "A man in black clothes and glasses walked in from the door next to the room. He walked next to the man in black clothes just now." - }, - "train_28": { - "video_name": "Normal_Videos085_x264", - "temporal_range": "73.5 172.0", - "text": "The man stands in front of a row of computer screens and operates the computer." - }, - "train_29": { - "video_name": "Normal_Videos109_x264", - "temporal_range": "0.0 0.5", - "text": "A man wearing a blue shirt and blue jeans stood outside the counter with one hand on the counter" - }, - "train_30": { - "video_name": "Normal_Videos109_x264", - "temporal_range": "0.0 17.5", - "text": "A man in a white gown stood behind the counter packing bread, and then folded a piece of paper into a box" - }, - "train_31": { - "video_name": "Normal_Videos109_x264", - "temporal_range": "17.6 31.6", - "text": "The man in white bent over and put something into the folded box from under the counter." - }, - "train_32": { - "video_name": "Normal_Videos109_x264", - "temporal_range": "38.7 45.2", - "text": "The little boy in blue keeps putting things into the cabinet above the table" - }, - "train_33": { - "video_name": "Normal_Videos109_x264", - "temporal_range": "42.5 57.0", - "text": "The man in white folded the lid of the box down to cover it, and then kept adjusting the box" - }, - "train_34": { - "video_name": "Normal_Videos109_x264", - "temporal_range": "45.7 57.2", - "text": "The little boy in blue starts to wipe the table" - }, - "train_35": { - "video_name": "Normal_Videos145_x264", - "temporal_range": "11.2 37.0", - "text": "The man with a backpack walked out of the shop." - }, - "train_36": { - "video_name": "Normal_Videos145_x264", - "temporal_range": "37.0 49.2", - "text": "The woman in white on the left side of the video walks out of the store." - }, - "train_37": { - "video_name": "Normal_Videos145_x264", - "temporal_range": "64.2 75.2", - "text": "The woman in green walks to the counter to show something to the man at the counter on the right side of the video." - }, - "train_38": { - "video_name": "Normal_Videos145_x264", - "temporal_range": "75.2 87.0", - "text": "The hat girl enters the shop with her child and leaves from the left side of the screen." - }, - "train_39": { - "video_name": "Normal_Videos145_x264", - "temporal_range": "123.0 143.0", - "text": "The man in the hat entered the store and stood next to the man with yellow hair." - }, - "train_40": { - "video_name": "Normal_Videos145_x264", - "temporal_range": "143.0 150.0", - "text": "The woman in green walks to the right side of the video, the man in the shirt enters the store." - }, - "train_41": { - "video_name": "Normal_Videos232_x264", - "temporal_range": "0.0 26.1", - "text": "The woman in black with ponytail was counting money" - }, - "train_42": { - "video_name": "Normal_Videos250_x264", - "temporal_range": "0.0 28.0", - "text": "In a shop, a man in blue is standing at the bottom left side, standing at the counter." - }, - "train_43": { - "video_name": "Normal_Videos318_x264", - "temporal_range": "0.2 7.2", - "text": "A clerk in a convenience store lowers his head to work" - }, - "train_44": { - "video_name": "Normal_Videos318_x264", - "temporal_range": "25.5 37.1", - "text": "Middle-aged man in black shirt leaves the store" - }, - "train_45": { - "video_name": "Normal_Videos354_x264", - "temporal_range": "0.0 10.1", - "text": "The woman stepped forward to pick up the fallen goods, and the man left the camera." - }, - "train_46": { - "video_name": "Normal_Videos354_x264", - "temporal_range": "27.0 42.0", - "text": "The man turned around and went to the counter to sort out the goods." - }, - "train_47": { - "video_name": "Normal_Videos391_x264", - "temporal_range": "124.7 140.2", - "text": "The man leaves." - }, - "train_48": { - "video_name": "Normal_Videos399_x264", - "temporal_range": "0.5 5.5", - "text": "A man is standing behind the counter" - }, - "train_49": { - "video_name": "Normal_Videos399_x264", - "temporal_range": "0.5 8.7", - "text": "The woman talks with her colleagues before two customers arrive. " - }, - "train_50": { - "video_name": "Normal_Videos399_x264", - "temporal_range": "11.4 22.0", - "text": "The man in black takes something from his pocket." - }, - "train_51": { - "video_name": "Normal_Videos399_x264", - "temporal_range": "45.1 100.5", - "text": "The woman behind the counter says a few words from time to time." - }, - "train_52": { - "video_name": "Normal_Videos474_x264", - "temporal_range": "47.1 56.0", - "text": "At the bottom of the camera, a man in black enters a black car, and a truck in the distance drives toward the parking lot." - }, - "train_53": { - "video_name": "Normal_Videos474_x264", - "temporal_range": "59.0 77.1", - "text": "The black car reversed, then turned around and drove upwards." - }, - "train_54": { - "video_name": "Normal_Videos474_x264", - "temporal_range": "169.1 189.0", - "text": "Then the white car reversed, turned around and drove to the left." - }, - "train_55": { - "video_name": "Normal_Videos685_x264", - "temporal_range": "0.4 2.1", - "text": "A gray car drives away" - }, - "train_56": { - "video_name": "Normal_Videos720_x264", - "temporal_range": "24.6 53.6", - "text": "A man in black clothes is stirring something" - }, - "train_57": { - "video_name": "Normal_Videos720_x264", - "temporal_range": "67.7 88.8", - "text": "The man in an orange shirt took something from the shelf and sprinkled it on a black plate" - }, - "train_58": { - "video_name": "Normal_Videos720_x264", - "temporal_range": "82.5 98.1", - "text": "Man in black pants takes something out of the oven above the aisle and places it on the floor" - }, - "train_59": { - "video_name": "Normal_Videos720_x264", - "temporal_range": "89.4 130.3", - "text": "The man in a red shirt put a white bucket back on the cabinet behind him" - }, - "train_60": { - "video_name": "Normal_Videos720_x264", - "temporal_range": "100.2 118.0", - "text": "After talking to the man in the orange shirt and the man in the blue half-sleeves, he took two white buckets from the shelf and placed them on the table in front of him" - }, - "train_61": { - "video_name": "Normal_Videos720_x264", - "temporal_range": "132.5 189.6", - "text": "The man in blue half-sleeves fishes out red things from the bucket on the table" - }, - "train_62": { - "video_name": "Normal_Videos720_x264", - "temporal_range": "190.7 218.5", - "text": "The person wearing orange half-sleeves is wiping something on the black plate on the table" - }, - "train_63": { - "video_name": "Normal_Videos822_x264", - "temporal_range": "40.6 52.1", - "text": "A man in red half-sleeves and another man in black clothes walked from the left side of the mall to the right side of the mall" - }, - "train_64": { - "video_name": "Normal_Videos822_x264", - "temporal_range": "47.1 60.0", - "text": "A person wearing striped clothes on the right side of the mall road walks from the right to the left" - }, - "train_65": { - "video_name": "Normal_Videos_758_x264", - "temporal_range": "22.7 26.9", - "text": "The man in yellow has something red." - }, - "train_66": { - "video_name": "Normal_Videos_899_x264", - "temporal_range": "5.3 14.0", - "text": "The curly-haired woman turned back and walked towards the woman in white clothes nearby to talk." - }, - "train_67": { - "video_name": "RoadAccidents012_x264", - "temporal_range": "0.0 9.6", - "text": "A man in white carrying a black bag is crossing the road" - }, - "train_68": { - "video_name": "Robbery023_x264", - "temporal_range": "10.2 20.8", - "text": "A man wearing a white shirt appears in the upper right corner, and he is constantly smashing the counter." - }, - "train_69": { - "video_name": "Robbery023_x264", - "temporal_range": "10.2 20.8", - "text": "The man in the red hat kept breaking the counter, and the man in the gray hat put the items on the counter into his bag." - }, - "train_70": { - "video_name": "Robbery123_x264", - "temporal_range": "6.8 13.1", - "text": "A man approached the counter and reached out to snatch the woman's computer. " - }, - "train_71": { - "video_name": "Robbery145_x264", - "temporal_range": "11.3 21.5", - "text": "The man in black smashed the glass and packed the things." - }, - "train_72": { - "video_name": "Shoplifting001_x264", - "temporal_range": "59.9 74.0", - "text": "The man in white clothes closed the other computer, hid it in his clothes and walked away" - }, - "train_73": { - "video_name": "Vandalism011_x264", - "temporal_range": "112.6 136.3", - "text": "The man in red walked forward in the middle of the road, and a car passed by." - }, - "train_74": { - "video_name": "Vandalism011_x264", - "temporal_range": "220.7 240.4", - "text": "The man walks forward with the police." - }, - "train_75": { - "video_name": "Vandalism011_x264", - "temporal_range": "240.4 288.7", - "text": "The man in gray started to clean up the trash cans on the ground." - }, - "train_76": { - "video_name": "Vandalism011_x264", - "temporal_range": "288.7 308.8", - "text": "The police were supervising on the roadside. " - }, - "train_77": { - "video_name": "Vandalism011_x264", - "temporal_range": "308.8 334.3", - "text": "The policeman handed the man in gray an item. Then the policeman walked to the garbage and kicked it with his feet. " - }, - "train_78": { - "video_name": "Vandalism011_x264", - "temporal_range": "334.3 358.3", - "text": "The policeman walked to the trash can and held the lid of the trash can with his hand." - }, - "train_79": { - "video_name": "Vandalism011_x264", - "temporal_range": "358.3 376.6", - "text": "A policeman walked forward." - } -} diff --git a/dataset_doc/american_football.md b/dataset_doc/american_football.md deleted file mode 100644 index 3d190473676f5dbdde9ede912f62779096041962..0000000000000000000000000000000000000000 --- a/dataset_doc/american_football.md +++ /dev/null @@ -1,55 +0,0 @@ -# American Football - -`american_football` is a newly captured dataset released with this repository. Unlike the third-party datasets in AnyGroundBench, its videos are included directly. - -## Included Files - -```text -data/american_football/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt - videos/ - 0/ - clips4spatial/ -``` - -`videos/0/` contains the main football clips. `videos/clips4spatial/` contains short spatial-grounding clips keyed by train/test sample IDs. - -## Metadata - -Temporal metadata uses entries such as: - -```json -{ - "video_name": "kc_wide_clip141", - "temporal_range": "31.934 34.567", - "text": "A receiver catches a forward pass, and the play continues until the receiver is stopped." -} -``` - -Spatio-temporal metadata adds video information and a frame-indexed target tube in `spatio_temporal_label.tubes`. - -Spatial metadata uses short clip names such as `train_0` and `test_0`, matching files under `videos/clips4spatial/`. - -## Usage - -No external reconstruction is required for this dataset because the videos are included. - -Expected paths: - -```text -data/american_football/videos/0/kc_wide_clip141.mp4 -data/american_football/videos/clips4spatial/train_0.mp4 -``` - -## License - -The videos and metadata for this dataset are released under CC BY-NC-SA 4.0 as part of this repository. diff --git a/dataset_doc/animal_kingdom.md b/dataset_doc/animal_kingdom.md deleted file mode 100644 index 7479d28997dfb93edff82463d1c9bcb44fb3ef2b..0000000000000000000000000000000000000000 --- a/dataset_doc/animal_kingdom.md +++ /dev/null @@ -1,71 +0,0 @@ -# Animal Kingdom - -Animal Kingdom is a third-party animal behavior video dataset. This repository provides AnyGroundBench metadata and split files, but does not redistribute the original videos. - -## Included Files - -```text -data/animal_kingdom/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt -``` - -No `videos/` directory is included in this release. - -## Source Data Summary - -The temporal grounding source annotations use entries of the form: - -```text - ## -``` - -For example: - -```text -AABGBPZC 11.9 14.7##The bordered mantis is being eaten by another mantis. -``` - -The original annotation format is naturally suited to sentence grounding because each query is a natural-language caption paired with a start and end time. - -Local source notes recorded the following full-dataset statistics: - -| Split | Queries | Videos | Duration | -| --- | ---: | ---: | ---: | -| train | 14,995 | 3,489 | 36.19 h | -| test | 3,749 | 812 | 8.48 h | -| total | 18,744 | 4,301 | 44.67 h | - -## Reconstruction - -Obtain the Animal Kingdom videos from the original dataset provider and place the relevant videos under: - -```text -data/animal_kingdom/videos/0/.mp4 -``` - -The `video_name` field in `meta-data/*.json` should correspond to the source video ID, for example: - -```text -data/animal_kingdom/videos/0/AABGBPZC.mp4 -``` - -If you need spatial-only clips, create: - -```text -data/animal_kingdom/videos/clips4spatial/.mp4 -``` - -## Caveats - -Some source annotation lines are duplicated in the original annotations. The metadata preserves the source annotation behavior unless otherwise documented by the specific split generation process. - -Animal Kingdom's original license status should be checked with the original provider. This repository does not redistribute Animal Kingdom videos. diff --git a/dataset_doc/cholectrack20.md b/dataset_doc/cholectrack20.md deleted file mode 100644 index 29d97c8df15d66dc0a47fe449ab61f687aef3c46..0000000000000000000000000000000000000000 --- a/dataset_doc/cholectrack20.md +++ /dev/null @@ -1,50 +0,0 @@ -# CholecTrack20 - -CholecTrack20 is a surgical tool tracking dataset for laparoscopic cholecystectomy videos. This repository provides AnyGroundBench metadata, split files, and the processed videos used by the benchmark. - -## Included Files - -```text -data/cholectrack20/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt - videos/ - 0/ - clips4spatial/ -``` - -The `videos/` directory is included in this release. It contains processed mp4 files prepared for AnyGroundBench evaluation. - -## Redistribution Terms - -The CholecTrack20 Data Use Agreement allows redistribution as long as the dataset is redistributed under the same license and DUA, with the obligation to cite the contributing work that generated the dataset. The DUA also states that use is for scientific research and cannot be commercial. - -Users must comply with the original CholecTrack20 DUA and license terms: - -- DUA: https://github.com/CAMMA-public/cholectrack20/blob/main/DUA.md -- License: https://github.com/CAMMA-public/cholectrack20/blob/main/LICENSE.txt - -Required citation: - -```text -C.I. Nwoye, K. Elgohary, A. Srinivas, F. Zaid, J. Lavanchy, N. Padoy. -CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery. -arXiv preprint arXiv:2312.07352 (2023). -``` - -## Usage - -No external reconstruction is required for the processed AnyGroundBench videos included here. Expected paths: - -```text -data/cholectrack20/videos/0/.mp4 -data/cholectrack20/videos/clips4spatial/.mp4 -``` diff --git a/dataset_doc/dota.md b/dataset_doc/dota.md deleted file mode 100644 index da4291c7b22ece429fda77badac8451c0dd8c610..0000000000000000000000000000000000000000 --- a/dataset_doc/dota.md +++ /dev/null @@ -1,44 +0,0 @@ -# DoTA - -DoTA is a traffic anomaly dataset. This repository provides AnyGroundBench metadata, split files, and the processed videos used by the benchmark. - -## Included Files - -```text -data/dota/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt - videos/ - 0/ - clips4spatial/ -``` - -The `videos/` directory is included in this release. It contains processed mp4 files prepared for AnyGroundBench evaluation. - -## Redistribution Terms - -The official Detection-of-Traffic-Anomaly repository uses the MIT License. The license permits use, copy, modification, publishing, distribution, sublicensing, and selling copies, provided that the copyright and permission notice are included in copies or substantial portions of the software/materials covered by the license. - -Users should retain the original MIT license notice and cite the original DoTA work where appropriate. - -- License: https://github.com/MoonBlvd/Detection-of-Traffic-Anomaly/blob/master/LICENSE -- Repository: https://github.com/MoonBlvd/Detection-of-Traffic-Anomaly - -## Usage - -No external reconstruction is required for the processed AnyGroundBench videos included here. Expected paths: - -```text -data/dota/videos/0/.mp4 -data/dota/videos/clips4spatial/.mp4 -``` - -The `video_name` field in AnyGroundBench metadata refers to the DoTA clip ID rather than only the YouTube source video ID. diff --git a/dataset_doc/egosurgery.md b/dataset_doc/egosurgery.md deleted file mode 100644 index 53c13f5d3fd41ab992c4f31a7a6fda4095e77f97..0000000000000000000000000000000000000000 --- a/dataset_doc/egosurgery.md +++ /dev/null @@ -1,60 +0,0 @@ -# EgoSurgery - -EgoSurgery is an egocentric surgical dataset with images, phase annotations, gaze data, and bounding boxes. This repository provides AnyGroundBench metadata and split files, but does not redistribute original EgoSurgery images or videos. - -## Included Files - -```text -data/egosurgery/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt -``` - -No EgoSurgery visual data is included in this release. - -## Source Data Summary - -The local source contained: - -```text -annotations/ - bbox/ - phase/ -gaze/ -images/ -``` - -Source notes observed: - -- `images/` contained 37,996 JPEG files; -- unique image videos: 46; -- `annotations/phase`: 46 CSV files; -- `gaze`: 57 CSV files; -- bounding box annotations covered a subset of the image videos. - -The metadata used by AnyGroundBench was built from phase annotations and tool bounding boxes. - -## Reconstruction - -Obtain EgoSurgery from the original provider and prepare the image or video inputs. For AnyGroundBench, create video-like files under: - -```text -data/egosurgery/videos/0/.mp4 -data/egosurgery/videos/clips4spatial/.mp4 -``` - -If you start from images, convert frame sequences to mp4 files using the same sampling assumptions used by your metadata generation. The local source notes referenced 0.5 fps as the relevant sampling rate for time conversion. - -## Caveats - -The original modalities do not perfectly cover the same set of videos. Images, phase annotations, gaze files, and bbox annotations have different coverage. Reconstruct from the metadata split you intend to evaluate and verify that each referenced `video_name` is available. - -EgoSurgery is noted as CC BY-NC-SA 4.0 in the local license notes. Users should confirm terms with the original provider. diff --git a/dataset_doc/enigma.md b/dataset_doc/enigma.md deleted file mode 100644 index 2802134cce0f97f9085847b0a25f7808d62d9446..0000000000000000000000000000000000000000 --- a/dataset_doc/enigma.md +++ /dev/null @@ -1,39 +0,0 @@ -# ENIGMA - -ENIGMA in this repository refers to metadata prepared from ENIGMA-360-style annotations. This repository provides AnyGroundBench metadata, split files, and the processed videos used by the benchmark. - -## Included Files - -```text -data/enigma/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt - videos/ - 0/ - clips4spatial/ -``` - -The `videos/` directory is included in this release. It contains processed mp4 files prepared for AnyGroundBench evaluation. - -## Redistribution Terms - -The ENIGMA videos processed for AnyGroundBench are included in this repository with permission from the ENIGMA authors. Users should still cite the original ENIGMA/ENIGMA-360 dataset and follow any conditions communicated by the original authors. - -Because this permission was obtained directly from the authors, downstream users should treat the redistributed videos as permitted for the intended research release of AnyGroundBench and should not assume broader rights beyond the original dataset terms and the authors' permission. - -## Usage - -No external reconstruction is required for the processed AnyGroundBench videos included here. Expected paths: - -```text -data/enigma/videos/0/.mp4 -data/enigma/videos/clips4spatial/.mp4 -``` diff --git a/dataset_doc/meccano.md b/dataset_doc/meccano.md deleted file mode 100644 index e5d7e342c93c9d134c8004171533dc4641c6581d..0000000000000000000000000000000000000000 --- a/dataset_doc/meccano.md +++ /dev/null @@ -1,39 +0,0 @@ -# MECCANO - -MECCANO is an egocentric assembly dataset with RGB videos, frames, action/verb temporal annotations, object bounding boxes, and hand bounding boxes. This repository provides AnyGroundBench metadata, split files, and the processed videos used by the benchmark. - -## Included Files - -```text -data/meccano/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt - videos/ - 0/ - clips4spatial/ -``` - -The `videos/` directory is included in this release. It contains processed mp4 files prepared for AnyGroundBench evaluation. - -## Redistribution Terms - -The MECCANO videos processed for AnyGroundBench are included in this repository with permission from the MECCANO authors. Users should still cite the original MECCANO dataset and follow any conditions communicated by the original authors. - -Because this permission was obtained directly from the authors, downstream users should treat the redistributed videos as permitted for the intended research release of AnyGroundBench and should not assume broader rights beyond the original dataset terms and the authors' permission. - -## Usage - -No external reconstruction is required for the processed AnyGroundBench videos included here. Expected paths: - -```text -data/meccano/videos/0/.mp4 -data/meccano/videos/clips4spatial/.mp4 -``` diff --git a/dataset_doc/mouse.md b/dataset_doc/mouse.md deleted file mode 100644 index 2f4ab2a027b0dfd4f0c2302c71a47692976d5b58..0000000000000000000000000000000000000000 --- a/dataset_doc/mouse.md +++ /dev/null @@ -1,39 +0,0 @@ -# Mouse - -`mouse` is a newly captured dataset released with this repository. This repository provides the processed metadata, split files, and videos needed by AnyGroundBench. - -## Included Files - -```text -data/mouse/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt - videos/ - 0/ - clips4spatial/ -``` - -`videos/0/` contains the main processed clips. `videos/clips4spatial/` contains short clips used by the spatial grounding metadata. - -## Usage - -No external reconstruction is required because the videos used by the released metadata are included. - -Expected paths: - -```text -data/mouse/videos/0/.mp4 -data/mouse/videos/clips4spatial/.mp4 -``` - -## License - -The videos and metadata for this dataset are released under CC BY-NC-SA 4.0 as part of this repository. diff --git a/dataset_doc/multisports.md b/dataset_doc/multisports.md deleted file mode 100644 index 8a6ab105dd3d9396f10623b5ad4b8ae026209e3e..0000000000000000000000000000000000000000 --- a/dataset_doc/multisports.md +++ /dev/null @@ -1,71 +0,0 @@ -# MultiSports - -MultiSports is a multi-person spatio-temporal action localization dataset. This repository provides AnyGroundBench metadata, split files, and the processed videos used by the benchmark. - -## Included Files - -```text -data/multisports/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt - videos/ - 0/ - clips4spatial/ -``` - -The `videos/` directory is included in this release: - -- `videos/0/` contains 434 source clips used by temporal and spatio-temporal metadata. -- `videos/clips4spatial/` contains 500 short clips used by spatial metadata. - -These files cover all `video_name` references in the released MultiSports metadata. - -## Source Data Summary - -The local source was obtained from the Hugging Face dataset repository `MCG-NJU/MultiSports`, including train/validation and test tar files. - -The original annotation files include: - -```text -data/trainval/multisports_GT.pkl -data/test/multisports_test.pkl -data/test/multisports_half_test.pkl -``` - -`multisports_GT.pkl` contains labels, train videos, validation videos, frame counts, resolutions, and `gttubes`. Each tube stores rows of: - -```text - -``` - -Observed source statistics: - -| Split | Videos | GT tubes | Duration | -| --- | ---: | ---: | ---: | -| train | 1,574 | 18,422 | 9.12 h | -| validation | 555 | 6,577 | 3.32 h | -| train + validation | 2,129 | 24,999 | 12.44 h | -| test | 1,071 | not provided | 6.13 h | - -## Video Layout - -No external reconstruction is required for the processed AnyGroundBench videos included here. Expected paths: - -```text -data/multisports/videos/0/.mp4 -data/multisports/videos/clips4spatial/.mp4 -``` - -## Caveats - -MultiSports is multi-person. Temporal-only metadata may deduplicate identical `(video_name, temporal_range, text)` entries, while spatio-temporal metadata should preserve tube identity. - -The original MultiSports license was noted locally as CC BY-NC 4.0. MultiSports videos remain governed by the original MultiSports terms. diff --git a/dataset_doc/uca.md b/dataset_doc/uca.md deleted file mode 100644 index 70856c86d1bd124fa206fe48ab961e11cb24317b..0000000000000000000000000000000000000000 --- a/dataset_doc/uca.md +++ /dev/null @@ -1,72 +0,0 @@ -# UCA - -UCA is a surveillance video-and-language annotation dataset. UCA annotations are redistributed under the Apache-2.0 license as stated by the official UCA repository. The underlying UCF-Crime videos are not included in AnyGroundBench and must be obtained separately from the original UCF-Crime source. The official UCA materials describe the dataset as intended for academic and research purposes. - -## Included Files - -```text -data/uca/ - meta-data/ - t_train.json - t_test.json - s_train.json - s_test.json - st_train.json - st_test.json - data_splits/ - train.txt - test.txt -``` - -This release includes UCA annotation files converted to AnyGroundBench metadata and split files. It does not include UCF-Crime videos. - -## Source Data Summary - -The source UCA annotations include JSON and TXT files: - -```text -UCF Annotation/json/UCFCrime_Train.json -UCF Annotation/json/UCFCrime_Val.json -UCF Annotation/json/UCFCrime_Test.json -UCF Annotation/txt/UCFCrime_Train.txt -UCF Annotation/txt/UCFCrime_Val.txt -UCF Annotation/txt/UCFCrime_Test.txt -``` - -Each video has `duration`, `timestamps`, and `sentences`. Each sentence corresponds to one timestamp interval, making UCA naturally suited to temporal sentence grounding. - -Observed source statistics: - -| Split | Queries | Videos | Duration | -| --- | ---: | ---: | ---: | -| train | 15,677 | 1,165 | 75.53 h | -| val | 3,534 | 379 | 21.17 h | -| test | 4,331 | 310 | 25.23 h | -| total | 23,542 | 1,854 | 121.94 h | - -## Reconstruction - -Obtain the underlying videos separately from the original UCF-Crime source, then place the videos required by the metadata under: - -```text -data/uca/videos/0/.mp4 -data/uca/videos/clips4spatial/.mp4 -``` - -The `video_name` values are based on UCA/UCF-Crime video IDs such as `Abuse001_x264`. - -## Citation - -Please cite the original UCA work when using this metadata: - -```text -Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu, Chen Chen, Jian Jin, and Zhenzhen Jiao. -Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges. -CVPR 2024. -``` - -## License and Use Notes - -The original UCA README and local JSON aggregation differed slightly in total duration. Use the metadata files in this repository as the source of truth for AnyGroundBench experiments. - -UCA annotations are redistributed under the Apache-2.0 license as stated by the official UCA repository. The underlying UCF-Crime videos are not included in AnyGroundBench and must be obtained separately from the original UCF-Crime source. The official UCA materials describe the dataset as intended for academic and research purposes.