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avset10m

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train · 25.2k rows

Label stringlengths 7 103	Flag (Sound Separation) int64 0 1	Youtube ID stringlengths 11 11	AVC stringlengths 10 19	Start Time stringclasses 94 values	End Time stringclasses 97 values
/m/01g50p,/m/0284vy3,/m/06d_3,/m/07jdr,/m/07rwm0c	0	---1_cCGK4M	0.4426622688770294	0.000	10.000
/m/09x0r	0	---2_BBVHAA	0.29814767837524414	30.000	40.000
/m/04rlf,/m/0c1dj	1	---g9OGAhwc	0.27037277817726135	30.000	40.000
/m/012f08,/m/07yv9,/m/0k4j,/t/dd00134	0	---lTs1dxhU	0.47621557116508484	30.000	40.000
/m/09x0r	0	---qub7uxgs	0.31859320402145386	30.000	40.000
/m/04rlf	0	--0AzKXCHj8	0.5015707612037659	22.000	32.000
/m/09x0r	0	--0B3G_C3qc	0.32965582609176636	10.000	20.000
/m/09x0r	0	--0CNhurbZE	0.3208809792995453	30.000	40.000
/m/09x0r	0	--0F7kbzAMA	0.3587958812713623	30.000	40.000
/m/018vs,/m/0342h,/m/04rlf,/m/04szw	1	--0FMNFsVeg	0.3487914800643921	30.000	40.000
/m/09x0r	0	--0MF9K5N30	0.30871403217315674	30.000	40.000
/m/0342h,/m/04rlf,/m/04szw,/m/0fx80y	1	--0Oh0JxzjQ	0.39746952056884766	30.000	40.000
/m/04rlf,/m/0ggx5q	1	--0fYwELbpk	0.37871283292770386	30.000	40.000
/m/09x0r	0	--0ukMG7yH4	0.37025922536849976	30.000	40.000
/m/04rlf,/m/07s8j8t	1	--0vTxLiRuQ	0.27298688888549805	4.000	14.000
/m/01bjv,/m/07yv9,/m/09x0r	1	--0w1YA1Hm4	0.34836485981941223	30.000	40.000
/m/07qmpdm	0	--11PIhoFjg	0.3827250599861145	30.000	40.000
/m/07r04,/m/07yv9	0	--12UOziMF0	0.27123284339904785	30.000	40.000
/m/09x0r	0	--1Bi_4aXyU	0.39966464042663574	30.000	40.000
/m/026t6,/m/02hnl,/m/04rlf,/m/04szw,/m/0bm02	1	--1NzL0juik	0.40472227334976196	30.000	40.000
/m/0342h,/m/042v_gx,/m/04rlf,/m/04szw,/m/0fx80y	1	--1UKJ18WMQ	0.33265420794487	30.000	40.000
/m/015lz1,/m/0164x2,/m/04rlf	1	--1XHaNcX2Y	0.37809988856315613	50.000	60.000
/m/02qldy,/m/05zppz,/m/09x0r	1	--1l6WGE7AU	0.4982872009277344	30.000	40.000
/m/04rlf,/m/0glt670	1	--1rvyPa8UM	0.3788517117500305	40.000	50.000
/m/09x0r	0	--27rbu__kM	0.3508743941783905	30.000	40.000
/m/09x0r	0	--2ENPwFQLY	0.43071383237838745	30.000	40.000
/m/07yv9,/m/0k5j	0	--2H9Dj9eMY	0.311617374420166	30.000	40.000
/m/04rlf,/m/09x0r	1	--2V5hlNctI	0.34751829504966736	30.000	40.000
/m/04rlf,/m/04szw,/m/0cfdd	1	--2iIT25cNE	0.5197758674621582	30.000	40.000
/m/03m9d0z,/t/dd00092	0	--2u0ZyO3x0	0.4809432923793793	30.000	40.000
/m/02y_763	0	--2zH6Gmu0Q	0.35186702013015747	30.000	40.000
/m/09x0r	0	--30J4RIDXs	0.3625861704349518	30.000	40.000
/m/01kcd,/m/07c6l	0	--34LejG4cE	0.3527790904045105	20.000	30.000
/m/02lkt,/m/04rlf,/m/0fd3y,/m/0l14qv	1	--385LpykT0	0.32916921377182007	40.000	50.000
/m/04rlf	0	--3FNDQ-EfE	0.2837482988834381	30.000	40.000
/m/015lz1,/m/04rlf,/t/dd00126	1	--3HEtfRe4I	0.4283748269081116	220.000	230.000
/m/04rlf,/m/09x0r	1	--3IH5T6S0E	0.34387409687042236	30.000	40.000
/m/09x0r,/t/dd00125	1	--3SMQlk4Y8	0.26228266954421997	520.000	530.000
/m/04rlf	0	--3hodJyWWM	0.2715071439743042	20.000	30.000
/m/04rlf	0	--3lOAqWlwI	0.3165796399116516	30.000	40.000
/m/09x0r	0	--3mqI-rLFQ	0.2674315571784973	30.000	40.000
/m/09x0r	0	--44ksVCX4g	0.3759192228317261	130.000	140.000
/m/09x0r	0	--4AZakCudI	0.2962462902069092	30.000	40.000
/m/09x0r	0	--4QdQLdWuQ	0.37058225274086	19.000	29.000
/m/04rlf,/m/0l14jd	1	--4WSmaPiiM	0.5312009453773499	30.000	40.000
/m/09x0r	0	--4XCYPABls	0.31348302960395813	30.000	40.000
/m/09x0r	0	--4Zxt4o1L4	0.335000604391098	20.000	30.000
/m/09x0r	0	--4cSNijC4I	0.3050413727760315	30.000	40.000
/m/09x0r,/t/dd00003	1	--51d28O-tM	0.28909122943878174	30.000	40.000
/m/07yv9,/m/0cmf2,/m/0k5j	0	--5A5ZCa1dE	0.5302627086639404	80.000	90.000
/m/09x0r	0	--5bgJ6Y5wo	0.2933105528354645	2.000	12.000
/m/01yrx,/m/068hy,/m/0jbk	0	--5uHDNDKxs	0.3451448678970337	30.000	40.000
/m/02sgy,/m/0342h,/m/042v_gx,/m/04rlf,/m/04szw,/m/07s0s5r,/m/0fx80y	1	--5zANFBYzQ	0.34740501642227173	30.000	40.000
/t/dd00066	0	--65x-naOz0	0.4662669003009796	30.000	40.000
/m/09x0r,/t/dd00129	1	--6m4sccrsw	0.44714176654815674	200.000	210.000
/m/09x0r	0	--6nuNcbMC8	0.27664825320243835	270.000	280.000
/m/09x0r	0	--7RQ59Nsc0	0.3971819281578064	30.000	40.000
/m/02qldy,/m/05zppz,/m/09x0r	1	--7UmfOkRbM	0.4739273190498352	30.000	40.000
/m/09x0r,/t/dd00125	1	--7itbX1F1U	0.302194744348526	360.000	370.000
/m/068hy,/m/0bt9lr,/m/0jbk	0	--7jZxfzemI	0.40700986981391907	13.000	23.000
/m/09x0r	0	--7kxtfvbc4	0.2637667655944824	160.000	170.000
/m/06q74,/m/07yv9	0	--7srtCMEQQ	0.33680811524391174	120.000	130.000
/m/01lyv,/m/0342h,/m/04rlf,/m/04szw,/m/0fx80y	1	--8GzVV9M3w	0.4729757010936737	80.000	90.000
/m/04rlf,/m/09x0r	1	--8MVXS8Has	0.47880083322525024	30.000	40.000
/m/01sm1g,/m/04rlf	1	--8P9gLvO0Q	0.3485192656517029	30.000	40.000
/m/09x0r	0	--8Tk6qD22g	0.3602607250213623	18.000	28.000
/m/09x0r	0	--8V-W_I7Ww	0.3847622573375702	30.000	40.000
/m/09x0r	0	--8l9Vjy7aA	0.3706813454627991	30.000	40.000
/m/04rlf	0	--8naMk20PA	0.5003011226654053	29.000	39.000
/m/02mk9,/m/07yv9,/m/0k4j,/t/dd00130	0	--8puiAGLhs	0.3678475618362427	30.000	40.000
/m/02qldy,/m/02zsn,/m/09x0r	1	--9O4XZOge4	0.4741954505443573	30.000	40.000
/m/04rlf	0	--9QcurJjRg	0.4186163544654846	70.000	80.000
/m/012f08,/m/07rknqz,/m/07yv9,/m/0k4j	0	--9VR_F7CtY	0.4702594578266144	30.000	40.000
/m/018vs,/m/0342h,/m/04rlf,/m/04szw,/m/0fx80y,/m/0ln16	1	--A4Xbd8gCw	0.4836103320121765	120.000	130.000
/m/015p6	0	--AErD4Wx6c	0.33350270986557007	0.000	10.000
/m/04rlf	0	--ALMd2UbwA	0.3827146291732788	30.000	40.000
/m/07rgt08,/m/09x0r	1	--AQYzDx57k	0.2872839570045471	0.000	10.000
/m/04rlf	0	--AndYr26Ns	0.40926218032836914	90.000	100.000
/m/09x0r	0	--AqfES5q_0	0.28004127740859985	30.000	40.000
/m/09x0r	0	--AuJ3up8Xs	0.3895331919193268	30.000	40.000
/m/015lz1,/m/04rlf	1	--BB-7-YoIk	0.3430532217025757	220.000	230.000
/m/0342h,/m/04rlf,/m/04szw,/m/0fx80y	1	--BEldtpCaU	0.3776750862598419	30.000	40.000
/m/01g50p,/m/06d_3,/m/07jdr,/m/07yv9,/t/dd00129	0	--BFPeFaj2o	0.38965266942977905	0.000	10.000
/m/05zppz,/m/09x0r	1	--BIlxKVCYk	0.2745102345943451	30.000	40.000
/m/06bz3,/m/09x0r,/m/0b_fwt	1	--BIwg9KRxI	0.3877286911010742	130.000	140.000
/m/04rlf,/m/06j6l	1	--BMVWju1-w	0.4571874737739563	30.000	40.000
/m/01b9nn,/m/04rlf,/m/09x0r	1	--BdguqnSjY	0.3871278762817383	30.000	40.000
/m/04rlf,/m/09x0r	1	--Bj994YDQI	0.4897902011871338	30.000	40.000
/m/04rlf	0	--BnbZUiZ8o	0.263579785823822	30.000	40.000
/m/0342h,/m/042v_gx,/m/04rlf,/m/04szw,/m/07s0s5r,/m/0fx80y	1	--BpV0SPLcs	0.4142395257949829	30.000	40.000
/m/07s72n	0	--C51aSN1N8	0.32729995250701904	30.000	40.000
/m/09x0r	0	--C9bI0aqrY	0.27923503518104553	30.000	40.000
/m/09x0r	0	--CAzrIAnEQ	0.540909469127655	30.000	40.000
/m/07qjznl,/m/07qjznt	0	--CHY2qO5zc	0.5117977261543274	30.000	40.000
/m/09x0r	0	--CWkRb3dEU	0.3117586672306061	30.000	40.000
/m/04rlf,/m/06j6l,/m/0ggx5q	1	--Cc0ZmStCs	0.3318943381309509	30.000	40.000
/m/09x0r	0	--Cj78MFKAg	0.4174097776412964	480.000	490.000
/m/09x0r	0	--D0523UywI	0.4113023579120636	18.000	28.000
/m/02zsn	0	--D32FJUFsA	0.3522757589817047	250.000	260.000
/m/07yv9	0	--D3mJ0wwrg	0.3144456148147583	10.000	20.000

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AVSET-10M Dataset

Overview

The AVSET-10M dataset is a comprehensive collection of audio-visual samples designed for research in multimedia content analysis, audio-visual recognition, and machine learning. It is divided into two distinct subsets: AVSET-700K and AVSET-10M (excluding AVSET-700K). This dataset provides a rich set of meta-information, enhancing its utility for diverse research applications.

Dataset Composition

AVSET-10M is released as two subsets:

1. AVSET-700K

Description: This subset consists of 727,530 audio-visual corresponding samples meticulously filtered from the AudioSet.
Features:
- Each video segment is accompanied by a manually labeled audio category.
- Ensures accurate categorization and relevance of the audio-visual samples.

2. AVSET-10M (w/o. AVSET-700K)

Description: This subset includes 9,877,475 audio-visual corresponding samples, filtered from the expansive Panda-70M dataset.
Features:
- Focus on semantically coherent video segments that concentrate on a single event.
- Includes text descriptions sourced from the original Panda70M dataset.
- Pseudo-labels for audio categories are provided, derived using PANNs, along with their corresponding confidence scores.

AVSET-10M Dataset Structure

Repository for the AVSET-10M dataset, containing two subsets. Below is the directory structure with links to significant components:

AVSET-10M/
│
├── [AVSET-700K/](#avset-700k)
│   ├── unbalanced_train_segments_part00.json
│   ├── ...
│   └── unbalanced_train_segments_part40.json
│
├── [AVSET-10M(excluding-700K)/]
│   ├── split_000.json
│   ├── ...
│   └── split_399.json
│
└──[ontology.json]

Meta-Information

Each video clip in both subsets of the AVSET-10M dataset includes comprehensive meta-information:

Youtube ID: YoutubeID to get the download url.
Start Time: Specific start times for each video clip.
End Time: Specific end times for each video clip.
AVC: Measures the similarity between the audio and visual components of the clip.
Flag (Sound Separation): Indicates whether sound separation is required for the clip. "1" for the need for sound separation.
Label: Relevant textual descriptions or labels associated with each clip.

Additional Details for AVSET-10M (w/o. AVSET-700K)

pseudo-label: Audio categories with confidence scores to assist in dataset partitioning and analysis.

License

See license. The video samples are collected from a publicly available dataset. Users must follow the related license to use these video samples.

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Size of downloaded dataset files:

5.71 MB

Size of the auto-converted Parquet files:

978 kB

Number of rows:

25,247