felixleungsc/paperswithcode-data-evaluation-tables

task_path stringlengths 3 199 ⌀	dataset stringlengths 1 128 ⌀	model_name stringlengths 1 223 ⌀	paper_url stringlengths 21 601 ⌀	metric_name stringlengths 1 50 ⌀	metric_value stringlengths 1 9.22k ⌀
Unconditional Crystal Generation	MP20	FlowMM	https://arxiv.org/abs/2406.04713v1	Validity	80.30
Unconditional Crystal Generation	MP20	FlowMM	https://arxiv.org/abs/2406.04713v1	DFT Stable, Unique, Novel Rate	2.8
Drug ATC Classification	ATC-GRAPH	GraphATC	https://doi.org/10.1093/bib/bbaf194	Aiming	0.9694
Drug ATC Classification	ATC-GRAPH	GraphATC	https://doi.org/10.1093/bib/bbaf194	Coverage	0.9688
Drug ATC Classification	ATC-GRAPH	GraphATC	https://doi.org/10.1093/bib/bbaf194	Accuracy	0.9614
Drug ATC Classification	ATC-GRAPH	GraphATC	https://doi.org/10.1093/bib/bbaf194	Absolute True	0.9456
Drug ATC Classification	ATC-GRAPH	GraphATC	https://doi.org/10.1093/bib/bbaf194	Absolute False	0.0057
Drug ATC Classification	ATC-GRAPH	ATC-CNN	https://doi.org/10.1093/bib/bbaf194	Aiming	0.7734
Drug ATC Classification	ATC-GRAPH	ATC-CNN	https://doi.org/10.1093/bib/bbaf194	Coverage	0.7642
Drug ATC Classification	ATC-GRAPH	ATC-CNN	https://doi.org/10.1093/bib/bbaf194	Accuracy	0.7563
Drug ATC Classification	ATC-GRAPH	ATC-CNN	https://doi.org/10.1093/bib/bbaf194	Absolute True	0.7311
Drug ATC Classification	ATC-GRAPH	ATC-CNN	https://doi.org/10.1093/bib/bbaf194	Absolute False	0.0355
Drug ATC Classification	ATC-SMILES	GraphATC	https://doi.org/10.1093/bib/bbaf194	Aiming	0.9608
Drug ATC Classification	ATC-SMILES	GraphATC	https://doi.org/10.1093/bib/bbaf194	Coverage	0.9609
Drug ATC Classification	ATC-SMILES	GraphATC	https://doi.org/10.1093/bib/bbaf194	Accuracy	0.9542
Drug ATC Classification	ATC-SMILES	GraphATC	https://doi.org/10.1093/bib/bbaf194	Absolute True	0.9397
Drug ATC Classification	ATC-SMILES	GraphATC	https://doi.org/10.1093/bib/bbaf194	Absolute False	0.0068
Drug ATC Classification	ATC-SMILES	ATC-CNN	https://doi.org/10.1093/bib/bbac346	Aiming	0.9583
Drug ATC Classification	ATC-SMILES	ATC-CNN	https://doi.org/10.1093/bib/bbac346	Coverage	0.9414
Drug ATC Classification	ATC-SMILES	ATC-CNN	https://doi.org/10.1093/bib/bbac346	Accuracy	0.9399
Drug ATC Classification	ATC-SMILES	ATC-CNN	https://doi.org/10.1093/bib/bbac346	Absolute True	0.9177
Drug ATC Classification	ATC-SMILES	ATC-CNN	https://doi.org/10.1093/bib/bbac346	Absolute False	0.0094
Nested Term Recognition > Nested Term Recognition from Flat Supervision	RuTermEval (Track 3)	lemm. inc. + early dmg	https://arxiv.org/abs/2504.16007v2	Scoreboard Weighted F1	0.4547
Nested Term Recognition > Nested Term Recognition from Flat Supervision	RuTermEval (Track 3)	lemm. inc. + early dmg	https://arxiv.org/abs/2504.16007v2	Scoreboard Class-agnostic F1	0.5875
Nested Term Recognition > Nested Term Recognition from Flat Supervision	RuTermEval (Track 1)	lemm. inc. + early dmg	https://arxiv.org/abs/2504.16007v2	Scoreboard F1	0.7281
Nested Term Recognition > Nested Term Recognition from Flat Supervision	RuTermEval (Track 2)	lemm. inc. + early dmg	https://arxiv.org/abs/2504.16007v2	Scoreboard Weighted F1	0.631
Nested Term Recognition > Nested Term Recognition from Flat Supervision	RuTermEval (Track 2)	lemm. inc. + early dmg	https://arxiv.org/abs/2504.16007v2	Scoreboard Class-agnostic F1	0.7337
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR C	https://arxiv.org/abs/2407.01516v1	FD_ClaTr	3.76
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR C	https://arxiv.org/abs/2407.01516v1	ClaTr-Score	21.95
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR C	https://arxiv.org/abs/2407.01516v1	Classifier-F1	0.48
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR A	https://arxiv.org/abs/2407.01516v1	FD_ClaTr	3.88
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR A	https://arxiv.org/abs/2407.01516v1	ClaTr-Score	20.76
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR A	https://arxiv.org/abs/2407.01516v1	Classifier-F1	0.42
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR B	https://arxiv.org/abs/2407.01516v1	FD_ClaTr	6.10
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR B	https://arxiv.org/abs/2407.01516v1	ClaTr-Score	20.78
3D Generation	E.T. the Exceptional Trajectories	DIRECTOR B	https://arxiv.org/abs/2407.01516v1	Classifier-F1	0.39
3D Generation	E.T. the Exceptional Trajectories	MDM	https://arxiv.org/abs/2209.14916v2	FD_ClaTr	6.79
3D Generation	E.T. the Exceptional Trajectories	MDM	https://arxiv.org/abs/2209.14916v2	ClaTr-Score	18.32
3D Generation	E.T. the Exceptional Trajectories	MDM	https://arxiv.org/abs/2209.14916v2	Classifier-F1	0.34
TinyQA Benchmark++	tinyqabenchmark_core-en	gemma-3-4b	https://arxiv.org/abs/2505.12058v1	Exact Match	86.5
TinyQA Benchmark++	tinyqabenchmark_core-en	mistral-24b-instruct	https://arxiv.org/abs/2505.12058v1	Exact Match	84.6
TinyQA Benchmark++	tinyqabenchmark_core-en	llama-3.2-3b-instruct	https://arxiv.org/abs/2505.12058v1	Exact Match	84.6
TinyQA Benchmark++	tinyqabenchmark_core-en	ministral-8b	https://arxiv.org/abs/2505.12058v1	Exact Match	80.8
TinyQA Benchmark++	tinyqabenchmark_core-en	ministral-3b	https://arxiv.org/abs/2505.12058v1	Exact Match	76.9
TinyQA Benchmark++	tinyqabenchmark_core-en	llama-3.2-1b-instruct	https://arxiv.org/abs/2505.12058v1	Exact Match	53.8
TinyQA Benchmark++	tinyqabenchmark_core-en	mistral-7b-instruct	https://arxiv.org/abs/2505.12058v1	Exact Match	50.0
TinyQA Benchmark++	tinyqabenchmark_core-en	gemma-3-12b	https://arxiv.org/abs/2505.12058v1	Exact Macth	90.4
Weakly-supervised Temporal Action Localization	UCF101-24	Structured Keypoint Pooling	https://arxiv.org/abs/2303.15270v1	[email protected]	61.8
Weakly-supervised Temporal Action Localization	ActivityNet-1.3	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	41.0
Weakly-supervised Temporal Action Localization	ActivityNet-1.3	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	24.9
Weakly-supervised Temporal Action Localization	ActivityNet-1.3	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	6.2
Weakly-supervised Temporal Action Localization	ActivityNet-1.3	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP	25.1
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	70.1
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	63.6
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	54.5
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	45.7
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	38.3
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	26.4
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	13.4
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	6.9
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP [email protected]	2.0
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589v1	mAP@AVG(0.1:0.9)	35.7
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589#:~:text=Cross%2Dmodal%20Consensus%20Network%20for%20Weakly%20Supervised%20Temporal%20Action%20Localization,-Fa%2DTing%20Hong&text=Weakly%20supervised%20temporal%20action%20localization%20(WS%2DTAL)%20is%20a,with%20video%2Dlevel%20categorical%20supervision.	mAP [email protected]	38.3
Weakly-supervised Temporal Action Localization	THUMOS’14	CO2-Net	https://arxiv.org/abs/2107.12589#:~:text=Cross%2Dmodal%20Consensus%20Network%20for%20Weakly%20Supervised%20Temporal%20Action%20Localization,-Fa%2DTing%20Hong&text=Weakly%20supervised%20temporal%20action%20localization%20(WS%2DTAL)%20is%20a,with%20video%2Dlevel%20categorical%20supervision.	mAP@AVG(0.1:0.9)	35.7
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	61.2
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	56.1
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	48.1
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	39.0
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	30.1
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	19.2
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	10.6
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	4.8
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP [email protected]	1.0
Weakly-supervised Temporal Action Localization	THUMOS’14	A2CL-PT	https://arxiv.org/abs/2007.06643v1	mAP@AVG(0.1:0.9)	30.0
Weakly-supervised Temporal Action Localization	THUMOS’14	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	71.2
Weakly-supervised Temporal Action Localization	THUMOS’14	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	65.5
Weakly-supervised Temporal Action Localization	THUMOS’14	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	57.1
Weakly-supervised Temporal Action Localization	THUMOS’14	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	46.8
Weakly-supervised Temporal Action Localization	THUMOS’14	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	36.6
Weakly-supervised Temporal Action Localization	THUMOS’14	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	25.2
Weakly-supervised Temporal Action Localization	THUMOS’14	ASM-Loc	https://arxiv.org/abs/2203.15187v1	mAP [email protected]	13.4
Audio-visual Question Answering	MUSIC-AVQA	VAST	https://arxiv.org/abs/2305.18500v2	Acc	80.7
Audio-visual Question Answering	MUSIC-AVQA	CoQo(Internvideo2)	null	Acc	79.6
Audio-visual Question Answering	MUSIC-AVQA	VALOR	https://arxiv.org/abs/2304.08345v2	Acc	78.9
Audio-visual Question Answering	MUSIC-AVQA	CAD	https://arxiv.org/abs/2310.16754v2	Acc	78.26
Audio-visual Question Answering	MUSIC-AVQA	LAVISH	https://arxiv.org/abs/2212.07983v2	Acc	77.08
Audio-visual Question Answering	MUSIC-AVQA	ST-AVQA	https://arxiv.org/abs/2203.14072v2	Acc	71.52
Audio-visual Question Answering > AUDIO-VISUAL QUESTION ANSWERING (MUSIC-AVQA-v2.0)	MUSIC-AVQA v2.0	Meerkat	https://arxiv.org/abs/2407.01851v2	Accuracy	79.15
Audio-visual Question Answering > AUDIO-VISUAL QUESTION ANSWERING (MUSIC-AVQA-v2.0)	MUSIC-AVQA v2.0	QA-TIGER	https://arxiv.org/abs/2503.04459v1	Accuracy	76.43
Audio-visual Question Answering > AUDIO-VISUAL QUESTION ANSWERING (MUSIC-AVQA-v2.0)	MUSIC-AVQA v2.0	LAST-Att	https://arxiv.org/abs/2310.06238v1	Accuracy	75.44
Audio-visual Question Answering > AUDIO-VISUAL QUESTION ANSWERING (MUSIC-AVQA-v2.0)	MUSIC-AVQA v2.0	LAVISH	https://arxiv.org/abs/2212.07983v2	Accuracy	73.18
Audio-visual Question Answering > AUDIO-VISUAL QUESTION ANSWERING (MUSIC-AVQA-v2.0)	MUSIC-AVQA v2.0	AVST	https://arxiv.org/abs/2203.14072v2	Accuracy	71.02
Anomaly Classification	VisA	APRIL-GAN	https://arxiv.org/abs/2305.17382v3	Detection AUROC	78.0
Anomaly Classification	MVTecAD	VELM	https://arxiv.org/abs/2505.02626v1	Accuracy (% )	81.4
Anomaly Classification	MVTecAD	Echo	https://arxiv.org/abs/2501.15795v1	Accuracy (% )	72.9
Anomaly Classification	MVTec-AC	VELM	https://arxiv.org/abs/2505.02626v1	Accuracy (% )	84.0
Anomaly Classification	VisA-AC	VELM	https://arxiv.org/abs/2505.02626v1	Accuracy(%)	69.6
Anomaly Classification	GoodsAD	PatchCore-100%	https://arxiv.org/abs/2106.08265v2	AUROC	85.5
Anomaly Classification	GoodsAD	PatchCore-100%	https://arxiv.org/abs/2106.08265v2	AUPR	86.1
Anomaly Classification	GoodsAD	PatchCore-1%	https://arxiv.org/abs/2106.08265v2	AUROC	81.4

Unconditional Crystal Generation

MP20

FlowMM

https://arxiv.org/abs/2406.04713v1

Validity

80.30

Unconditional Crystal Generation

MP20

FlowMM

https://arxiv.org/abs/2406.04713v1

DFT Stable, Unique, Novel Rate

2.8

Drug ATC Classification

ATC-GRAPH

GraphATC

https://doi.org/10.1093/bib/bbaf194

Aiming

0.9694

Drug ATC Classification

ATC-GRAPH

GraphATC

https://doi.org/10.1093/bib/bbaf194

Coverage

0.9688

Drug ATC Classification

ATC-GRAPH

GraphATC

https://doi.org/10.1093/bib/bbaf194

Accuracy

0.9614

Drug ATC Classification

ATC-GRAPH

GraphATC

https://doi.org/10.1093/bib/bbaf194

Absolute True

0.9456

Drug ATC Classification

ATC-GRAPH

GraphATC

https://doi.org/10.1093/bib/bbaf194

Absolute False

0.0057

Drug ATC Classification

ATC-GRAPH

ATC-CNN

https://doi.org/10.1093/bib/bbaf194

Aiming

0.7734

Drug ATC Classification

ATC-GRAPH

ATC-CNN

https://doi.org/10.1093/bib/bbaf194

Coverage

0.7642

Drug ATC Classification

ATC-GRAPH

ATC-CNN

https://doi.org/10.1093/bib/bbaf194

Accuracy

0.7563

Drug ATC Classification

ATC-GRAPH

ATC-CNN

https://doi.org/10.1093/bib/bbaf194

Absolute True

0.7311

Drug ATC Classification

ATC-GRAPH

ATC-CNN

https://doi.org/10.1093/bib/bbaf194

Absolute False

0.0355

Drug ATC Classification

ATC-SMILES

GraphATC

https://doi.org/10.1093/bib/bbaf194

Aiming

0.9608

Drug ATC Classification

ATC-SMILES

GraphATC

https://doi.org/10.1093/bib/bbaf194

Coverage

0.9609

Drug ATC Classification

ATC-SMILES

GraphATC

https://doi.org/10.1093/bib/bbaf194

Accuracy

0.9542

Drug ATC Classification

ATC-SMILES

GraphATC

https://doi.org/10.1093/bib/bbaf194

Absolute True

0.9397

Drug ATC Classification

ATC-SMILES

GraphATC

https://doi.org/10.1093/bib/bbaf194

Absolute False

0.0068

Drug ATC Classification

ATC-SMILES

ATC-CNN

https://doi.org/10.1093/bib/bbac346

Aiming

0.9583

Drug ATC Classification

ATC-SMILES

ATC-CNN

https://doi.org/10.1093/bib/bbac346

Coverage

0.9414

Drug ATC Classification

ATC-SMILES

ATC-CNN

https://doi.org/10.1093/bib/bbac346

Accuracy

0.9399

Drug ATC Classification

ATC-SMILES

ATC-CNN

https://doi.org/10.1093/bib/bbac346

Absolute True

0.9177

Drug ATC Classification

ATC-SMILES

ATC-CNN

https://doi.org/10.1093/bib/bbac346

Absolute False

0.0094

Nested Term Recognition > Nested Term Recognition from Flat Supervision

RuTermEval (Track 3)

lemm. inc. + early dmg

https://arxiv.org/abs/2504.16007v2

Scoreboard Weighted F1

0.4547

Nested Term Recognition > Nested Term Recognition from Flat Supervision

RuTermEval (Track 3)

lemm. inc. + early dmg

https://arxiv.org/abs/2504.16007v2

Scoreboard Class-agnostic F1

0.5875

Nested Term Recognition > Nested Term Recognition from Flat Supervision

RuTermEval (Track 1)

lemm. inc. + early dmg

https://arxiv.org/abs/2504.16007v2

Scoreboard F1

0.7281

Nested Term Recognition > Nested Term Recognition from Flat Supervision

RuTermEval (Track 2)

lemm. inc. + early dmg

https://arxiv.org/abs/2504.16007v2

Scoreboard Weighted F1

0.631

Nested Term Recognition > Nested Term Recognition from Flat Supervision

RuTermEval (Track 2)

lemm. inc. + early dmg

https://arxiv.org/abs/2504.16007v2

Scoreboard Class-agnostic F1

0.7337

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR C

https://arxiv.org/abs/2407.01516v1

FD_ClaTr

3.76

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR C

https://arxiv.org/abs/2407.01516v1

ClaTr-Score

21.95

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR C

https://arxiv.org/abs/2407.01516v1

Classifier-F1

0.48

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR A

https://arxiv.org/abs/2407.01516v1

FD_ClaTr

3.88

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR A

https://arxiv.org/abs/2407.01516v1

ClaTr-Score

20.76

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR A

https://arxiv.org/abs/2407.01516v1

Classifier-F1

0.42

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR B

https://arxiv.org/abs/2407.01516v1

FD_ClaTr

6.10

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR B

https://arxiv.org/abs/2407.01516v1

ClaTr-Score

20.78

3D Generation

E.T. the Exceptional Trajectories

DIRECTOR B

https://arxiv.org/abs/2407.01516v1

Classifier-F1

0.39

3D Generation

E.T. the Exceptional Trajectories

MDM

https://arxiv.org/abs/2209.14916v2

FD_ClaTr

6.79

3D Generation

E.T. the Exceptional Trajectories

MDM

https://arxiv.org/abs/2209.14916v2

ClaTr-Score

18.32

3D Generation

E.T. the Exceptional Trajectories

MDM

https://arxiv.org/abs/2209.14916v2

Classifier-F1

0.34

TinyQA Benchmark++

tinyqabenchmark_core-en

gemma-3-4b

https://arxiv.org/abs/2505.12058v1

Exact Match

86.5

TinyQA Benchmark++

tinyqabenchmark_core-en

mistral-24b-instruct

https://arxiv.org/abs/2505.12058v1

Exact Match

84.6

TinyQA Benchmark++

tinyqabenchmark_core-en

llama-3.2-3b-instruct

https://arxiv.org/abs/2505.12058v1

Exact Match

84.6

TinyQA Benchmark++

tinyqabenchmark_core-en

ministral-8b

https://arxiv.org/abs/2505.12058v1

Exact Match

80.8

TinyQA Benchmark++

tinyqabenchmark_core-en

ministral-3b

https://arxiv.org/abs/2505.12058v1

Exact Match

76.9

TinyQA Benchmark++

tinyqabenchmark_core-en

llama-3.2-1b-instruct

https://arxiv.org/abs/2505.12058v1

Exact Match

53.8

TinyQA Benchmark++

tinyqabenchmark_core-en

mistral-7b-instruct

https://arxiv.org/abs/2505.12058v1

Exact Match

50.0

TinyQA Benchmark++

tinyqabenchmark_core-en

gemma-3-12b

https://arxiv.org/abs/2505.12058v1

Exact Macth

90.4