diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..f3b6968fdfe411c7d995972a841154d3d1ab098e --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International + +The newly captured American Football videos, Mouse videos, and meta-data 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 and redistributed third-party videos remain governed by their +original licenses and terms. UCA annotation metadata is redistributed under +Apache-2.0 as stated by the official UCA repository; UCF-Crime videos are not +included. See each dataset document for dataset-specific license notes. + +For material licensed here under CC BY-NC-SA 4.0, you are free to share and +adapt it for non-commercial purposes, provided that you give appropriate credit, +indicate if changes were made, and distribute adaptations under the same +license. + +Full license text: +https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode + +Human-readable summary: +https://creativecommons.org/licenses/by-nc-sa/4.0/ diff --git a/README.md b/README.md index 3c7c6a10d0d6f251612d9fbc86faab06d66fd918..1f6d5a9505a846da9259bcc5c02b753d6a1a8bc0 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,222 @@ ---- -license: cc-by-nc-sa-4.0 ---- +# 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. + +## Contents + +The repository is organized as follows: + +```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 +``` + +`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/`. + +## Datasets + +All datasets include `meta-data/` and `data_splits/`. The table below only marks whether videos are included in this repository. + +| 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 | + +## Metadata Format + +Each dataset uses the same high-level metadata layout for temporal, spatial, and spatio-temporal grounding. + +### Temporal Grounding + +**Files** + +```text +meta-data/ +├── t_train.json +└── t_test.json +``` + +```json +{ + "video_name": "example_video", + "temporal_range": "12.3 18.7", + "text": "A description or label for the target event." +} +``` + + +### Spatial Grounding + +**Files** + +```text +meta-data/ +├── s_train.json +└── s_test.json +``` + +```json +{ + "video_name": "example_clip", + "text": "A description or label for the target object.", + "fps1_frame_id_0_1_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [0.10, 0.20, 0.40, 0.50], + "30": [0.12, 0.22, 0.42, 0.52] + } + } + ] + } +} +``` + +**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 +``` + + +```json +{ + "video_name": "example_video", + "temporal_range": "12.3 18.7", + "text": "A description or label for the target event/object.", + "meta_info": { + "video_name": "example_video", + "fps": 30.0, + "video_length": 45.0, + "width": 1920, + "height": 1080 + }, + "spatio_temporal_label": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "369": [200.0, 300.0, 420.0, 560.0], + "370": [204.0, 304.0, 424.0, 564.0] + } + } + ] + } +} +``` + +**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. + +## 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. + +Users are responsible for complying with the licenses and usage terms of the original datasets. + +## License + +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. diff --git a/data/american_football/data_splits/test.txt b/data/american_football/data_splits/test.txt new file mode 100644 index 0000000000000000000000000000000000000000..11037cca855117c72d4bf93024ba3e314c37f095 --- /dev/null +++ b/data/american_football/data_splits/test.txt @@ -0,0 +1,37 @@ +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 new file mode 100644 index 0000000000000000000000000000000000000000..dc7412eac739a8f2b8605a304a510ac554d06a8e --- /dev/null +++ b/data/american_football/data_splits/train.txt @@ -0,0 +1,86 @@ +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 new file mode 100644 index 0000000000000000000000000000000000000000..1f390fb8e5f212ca49eda0045000ae7fcfdd8b92 --- /dev/null +++ b/data/american_football/meta-data/s_test.json @@ -0,0 +1,3183 @@ +{ + "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": [ + 559.8333333333333, + 579.4374999999999, + 681.7407407407408, + 615.71875 + ], + "2": [ + 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0.38488020833333336, + 0.6427407407407407 + ], + "150": [ + 0.3846041666666667, + 0.5446388888888889, + 0.410265625, + 0.6449814814814815 + ], + "180": [ + 0.421171875, + 0.5948981481481481, + 0.4656875, + 0.6514537037037037 + ] + } + } + ] + }, + "fps1_timestamp_0_1000_s_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [ + 734.5052083333334, + 638.6666666666666, + 790.8333333333334, + 749.4444444444445 + ], + "1": [ + 579.4374999999999, + 559.8333333333333, + 615.71875, + 681.7407407407408 + ], + "2": [ + 469.53125, + 551.9444444444445, + 497.9895833333333, + 663.7222222222222 + ], + "3": [ + 397.16666666666663, + 540.9074074074074, + 428.8645833333333, + 637.574074074074 + ], + "4": [ + 356.40104166666663, + 540.8055555555557, + 384.88020833333337, + 642.7407407407408 + ], + "5": [ + 384.6041666666667, + 544.6388888888889, + 410.265625, + 644.9814814814815 + ], + "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": [ + 797.3958333333333, + 510.18518518518516, + 810.4166666666666, + 547.2222222222223 + ] + } + } + ] + } + }, + "test_2": { + "video_name": "test_2", + "text": "A ball carrier takes a handoff and runs with the ball.", + "fps1_timestamp_0_1000_yxyx_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [ + 475.1481481481481, + 858.2135416666666, + 593.1851851851851, + 894.2552083333334 + ], + "1": [ + 472.8796296296296, + 800.6666666666666, + 554.925925925926, + 835.390625 + ] + } + } + ] + }, + "fps1_frame_id_0_1_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [ + 0.8582135416666666, + 0.4751481481481481, + 0.8942552083333334, + 0.5931851851851851 + ], + "30": [ + 0.8006666666666666, + 0.4728796296296296, + 0.835390625, + 0.5549259259259259 + ] + } + } + ] + }, + "fps1_timestamp_0_1000_s_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [ + 858.2135416666666, + 475.1481481481481, + 894.2552083333334, + 593.1851851851851 + ], + "1": [ + 800.6666666666666, + 472.8796296296296, + 835.390625, + 554.925925925926 + ] + } + } + ] + } + }, + "test_3": { + "video_name": "test_3", + "text": "A ball carrier takes a handoff and runs with the ball.", + "fps1_timestamp_0_1000_yxyx_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [ + 451.712962962963, + 263.7083333333333, + 561.0092592592592, + 295.96875 + ], + "1": [ + 473.19444444444446, + 323.546875, + 573.2962962962963, + 358.3385416666667 + ], + "2": [ + 454.6666666666667, + 353.47916666666663, + 539.1296296296297, + 393.06770833333337 + ] + } + } + ] + }, + "fps1_frame_id_0_1_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [ + 0.2637083333333333, + 0.451712962962963, + 0.29596875, + 0.5610092592592593 + ], + "30": [ + 0.323546875, + 0.4731944444444445, + 0.3583385416666667, + 0.5732962962962963 + ], + "60": [ + 0.3534791666666666, + 0.45466666666666666, + 0.3930677083333334, + 0.5391296296296296 + ] + } + } + ] + }, + "fps1_timestamp_0_1000_s_demonstration": { + "tubes": [ + { + "tube_index": 0, + "bbox": { + "0": [ + 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"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", + 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"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", + "text": "The fox is keeping still." + }, + "test_69": { + "video_name": "TTWLWPTK", + "temporal_range": "5.7 8.5", + "text": "The singing nightingale is sensing its surrounding." + }, + "test_70": { + "video_name": "TTWLWPTK", + "temporal_range": "8.5 25.2", + "text": "The singing nightingale is chirping." + }, + "test_71": { + "video_name": "TTWLWPTK", + "temporal_range": "18.7 20.1", + "text": "The singing nightingale is keeping still." + }, + "test_72": { + "video_name": "UDNPSIQQ", + "temporal_range": "0.0 2.3", + "text": "The planarian schmidtea mediterranea flatworm is moving." + }, + "test_73": { + "video_name": "UFNDFUPH", + "temporal_range": "11.3 12.3", + "text": "The white throated dipper bird is flying." + }, + "test_74": { + "video_name": "UFNDFUPH", + "temporal_range": "12.4 18.1", + "text": "The white throated dipper bird is chirping." + }, + "test_75": { + "video_name": "UFNDFUPH", + "temporal_range": "18.2 26.6", + "text": "The white and gray wagtail bird is sensing its environment." + }, + "test_76": { + "video_name": "UFNDFUPH", + "temporal_range": "23.7 24.2", + "text": "The white and gray wagtail bird is jumping." + }, + "test_77": { + "video_name": "UFNDFUPH", + "temporal_range": "28.4 29.2", + "text": "The white throated dipper bird is diving." + }, + "test_78": { + "video_name": "UJAIBLHH", + "temporal_range": "0.1 10.2", + "text": "The bullfrog is keeping still." + }, + "test_79": { + "video_name": "UJAIBLHH", + "temporal_range": "0.1 10.2", + "text": "The bullfrog tadpole is swimming." + }, + "test_80": { + "video_name": "UKJYQXDO", + "temporal_range": "0.1 1.1", + "text": "The wild dog is running." + }, + "test_81": { + "video_name": "UKJYQXDO", + "temporal_range": "0.1 3.7", + "text": "The lion is walking." + }, + "test_82": { + "video_name": "UKJYQXDO", + "temporal_range": "1.1 3.7", + "text": "The wild dog is jumping." + }, + "test_83": { + "video_name": "UKJYQXDO", + "temporal_range": "13.4 15.6", + "text": "The lion is sensing its 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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." + 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+++ b/data/cholectrack20/data_splits/test.txt @@ -0,0 +1,27 @@ +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 new file mode 100644 index 0000000000000000000000000000000000000000..81ba951581d7cea0fd203798128cccc0cbb4b50f --- /dev/null +++ b/data/cholectrack20/data_splits/train.txt @@ -0,0 +1,16 @@ +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 a/data/cholectrack20/meta-data/s_test.json 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"video_name": "VxWJchENocA_004338", + "temporal_range": "8.1 9.7", + "text": "An anomalous car visible during an event where the camera vehicle is moving ahead or waiting and collides with another vehicle" + }, + "test_551": { + "video_name": "RASKiMoxhOE_001671", + "temporal_range": "2.8 5.0", + "text": "An anomalous car visible during an event where the camera vehicle moves laterally in the same direction and collides with another vehicle" + }, + "test_315": { + "video_name": "Hkui6PJboFg_002181", + "temporal_range": "1.7 3.9", + "text": "An anomalous bus visible during an event where the camera vehicle moves laterally in the same direction and collides with another vehicle" + }, + "test_694": { + "video_name": "UjkeNSr2dXQ_004633", + "temporal_range": "3.0 3.9", + "text": "An anomalous car visible during an event where the camera vehicle turns into or crosses a road and collides with another vehicle" + }, + "test_560": { + "video_name": "RASKiMoxhOE_003020", + "temporal_range": "4.1 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"temporal_range": "0.9 5.5", + "text": "An anomalous car visible during an event where the camera vehicle turns into or crosses a road and collides with another vehicle" + }, + "test_348": { + "video_name": "IIuaTrT3pp0_000498", + "temporal_range": "1.7 6.7", + "text": "An anomalous car visible during an event where the camera vehicle is moving ahead or waiting and collides with another vehicle" + }, + "test_113": { + "video_name": "4wKjxDXnmYs_003888", + "temporal_range": "2.7 5.6", + "text": "An anomalous car visible during an event where the camera vehicle moves laterally in the same direction and collides with another vehicle" + }, + "test_216": { + "video_name": "DpQBo4gb6Lw_000490", + "temporal_range": "3.8 7.0", + "text": "An anomalous car visible during an event where the camera vehicle is moving ahead or waiting and collides with another vehicle" + }, + "test_567": { + "video_name": "RPNiqsdt6-w_000611", + "temporal_range": "7.1 7.6", + "text": "An anomalous car visible during 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"text": "An anomalous car visible during an event where the camera vehicle starts, stops, or is stationary and collides with another vehicle" + }, + "test_918": { + "video_name": "ecRog9N1Qf0_002116", + "temporal_range": "3.2 5.1", + "text": "An anomalous person visible during an event where the camera vehicle collides with a pedestrian" + }, + "test_743": { + "video_name": "WWyeuvpHmfc_001275", + "temporal_range": "3.4 5.5", + "text": "An anomalous car visible during an event where the camera vehicle moves laterally in the same direction and collides with another vehicle" + }, + "test_475": { + "video_name": "OWtbKblBOKI_006046", + "temporal_range": "3.6 8.1", + "text": "An anomalous car visible during an event where the camera vehicle turns into or crosses a road and collides with another vehicle" + }, + "test_1121": { + "video_name": "lKMwX4nA64k_003568", + "temporal_range": "2.8 5.4", + "text": "An anomalous car visible during an event where the camera vehicle turns into or crosses 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welder station being touched" + } +} diff --git a/data/meccano/data_splits/test.txt b/data/meccano/data_splits/test.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba673131c08ce14693b702b41694e9680900d04e --- /dev/null +++ b/data/meccano/data_splits/test.txt @@ -0,0 +1,55 @@ +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 new file mode 100644 index 0000000000000000000000000000000000000000..b7e3ef87cfafab4f15bb771a7c215665b1864e76 --- /dev/null +++ b/data/meccano/data_splits/train.txt @@ -0,0 +1,114 @@ +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 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+ "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 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" + }, + "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 new file mode 100644 index 0000000000000000000000000000000000000000..3d190473676f5dbdde9ede912f62779096041962 --- /dev/null +++ b/dataset_doc/american_football.md @@ -0,0 +1,55 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..7479d28997dfb93edff82463d1c9bcb44fb3ef2b --- /dev/null +++ b/dataset_doc/animal_kingdom.md @@ -0,0 +1,71 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..29d97c8df15d66dc0a47fe449ab61f687aef3c46 --- /dev/null +++ b/dataset_doc/cholectrack20.md @@ -0,0 +1,50 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..da4291c7b22ece429fda77badac8451c0dd8c610 --- /dev/null +++ b/dataset_doc/dota.md @@ -0,0 +1,44 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..53c13f5d3fd41ab992c4f31a7a6fda4095e77f97 --- /dev/null +++ b/dataset_doc/egosurgery.md @@ -0,0 +1,60 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..2802134cce0f97f9085847b0a25f7808d62d9446 --- /dev/null +++ b/dataset_doc/enigma.md @@ -0,0 +1,39 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..e5d7e342c93c9d134c8004171533dc4641c6581d --- /dev/null +++ b/dataset_doc/meccano.md @@ -0,0 +1,39 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..2f4ab2a027b0dfd4f0c2302c71a47692976d5b58 --- /dev/null +++ b/dataset_doc/mouse.md @@ -0,0 +1,39 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..8a6ab105dd3d9396f10623b5ad4b8ae026209e3e --- /dev/null +++ b/dataset_doc/multisports.md @@ -0,0 +1,71 @@ +# 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 new file mode 100644 index 0000000000000000000000000000000000000000..70856c86d1bd124fa206fe48ab961e11cb24317b --- /dev/null +++ b/dataset_doc/uca.md @@ -0,0 +1,72 @@ +# 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.