🌸BigCodeBench
Collection
Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
https://bigcode-bench.github.io/
•
8 items
•
Updated
•
4
Dataset Viewer
model
stringlengths 5
31
| lower
float64 488
1.21k
| rating
float64 493
1.22k
| upper
float64 498
1.22k
| error_y
float64 2.45
5.25
| error_y_minus
float64 2.59
5.54
| rating_rounded
float64 493
1.22k
|
|---|---|---|---|---|---|---|
DeepSeek-V3-Chat
| 1,213.298082
| 1,216.887403
| 1,220.270781
| 3.383378
| 3.58932
| 1,216.89
|
GPT-4o-2024-05-13
| 1,213.848411
| 1,216.716448
| 1,220.221446
| 3.504998
| 2.868037
| 1,216.72
|
DeepSeek-V2-Chat (2024-06-28)
| 1,183.221662
| 1,186.311971
| 1,190.069306
| 3.757334
| 3.09031
| 1,186.31
|
DeepSeek-Coder-V2-Instruct
| 1,181.214287
| 1,184.204523
| 1,187.320491
| 3.115968
| 2.990236
| 1,184.2
|
Gemini-Exp-1114
| 1,170.720512
| 1,173.735657
| 1,176.505965
| 2.770307
| 3.015145
| 1,173.74
|
Gemini-Exp-1206
| 1,169.421392
| 1,172.420496
| 1,175.7503
| 3.329804
| 2.999104
| 1,172.42
|
Qwen2.5-Coder-32B-Instruct
| 1,166.136096
| 1,168.911337
| 1,172.216914
| 3.305577
| 2.775242
| 1,168.91
|
GPT-4-Turbo-2024-04-09
| 1,159.723844
| 1,162.953111
| 1,166.074594
| 3.121483
| 3.229266
| 1,162.95
|
GPT-4o-2024-11-20
| 1,153.451093
| 1,156.352274
| 1,159.511081
| 3.158806
| 2.901181
| 1,156.35
|
Claude-3.5-Sonnet-20240620
| 1,143.305029
| 1,146.476775
| 1,149.093336
| 2.616561
| 3.171746
| 1,146.48
|
GPT-4-0613
| 1,139.993935
| 1,143.071212
| 1,146.227311
| 3.156099
| 3.077276
| 1,143.07
|
Codestral-2501
| 1,140.022135
| 1,142.93199
| 1,145.815672
| 2.883682
| 2.909855
| 1,142.93
|
Claude-3.5-Haiku-20241022
| 1,140.120726
| 1,142.847348
| 1,145.931468
| 3.08412
| 2.726621
| 1,142.85
|
Gemini-2.0-Flash-Exp
| 1,139.653684
| 1,142.472762
| 1,145.492663
| 3.019902
| 2.819078
| 1,142.47
|
Llama-3.3-70B-Instruct
| 1,139.177481
| 1,142.135831
| 1,145.416408
| 3.280577
| 2.958349
| 1,142.14
|
GPT-4o-mini-2024-07-18
| 1,138.529368
| 1,141.19823
| 1,144.210337
| 3.012107
| 2.668862
| 1,141.2
|
Athene-V2-Chat
| 1,137.85534
| 1,140.810617
| 1,143.934306
| 3.123689
| 2.955278
| 1,140.81
|
Claude-3-Opus-20240229
| 1,129.835777
| 1,132.724245
| 1,135.387275
| 2.66303
| 2.888468
| 1,132.72
|
Athene-V2-Agent
| 1,125.426417
| 1,128.424755
| 1,131.442251
| 3.017496
| 2.998338
| 1,128.42
|
Hermes-2-Theta-Llama-3-70B
| 1,124.241476
| 1,127.492967
| 1,130.286404
| 2.793437
| 3.251491
| 1,127.49
|
Qwen2.5-72B-Instruct
| 1,122.751725
| 1,125.65755
| 1,128.677304
| 3.019754
| 2.905825
| 1,125.66
|
Gemini-Exp-1121
| 1,120.218799
| 1,123.329272
| 1,125.977082
| 2.64781
| 3.110473
| 1,123.33
|
Gemini-1.5-Pro-API-0514
| 1,119.817605
| 1,123.079173
| 1,126.155655
| 3.076482
| 3.261568
| 1,123.08
|
DeepSeek-V2.5-1210
| 1,120.011205
| 1,123.050683
| 1,126.447154
| 3.396471
| 3.039479
| 1,123.05
|
Llama-3.1-70B-Instruct
| 1,119.313657
| 1,122.562744
| 1,125.910568
| 3.347824
| 3.249087
| 1,122.56
|
Phi-4
| 1,116.867232
| 1,119.776798
| 1,122.569753
| 2.792956
| 2.909566
| 1,119.78
|
Claude-3.5-Sonnet-20241022
| 1,109.771456
| 1,112.657668
| 1,115.512354
| 2.854686
| 2.886212
| 1,112.66
|
Gemini-1.5-Flash-API-0514
| 1,102.468516
| 1,105.377768
| 1,108.398267
| 3.020499
| 2.909252
| 1,105.38
|
Llama-3-70B-Instruct
| 1,096.582026
| 1,099.566237
| 1,102.697439
| 3.131202
| 2.984211
| 1,099.57
|
Llama-3-70B-Synthia-v3.5
| 1,093.443962
| 1,096.572119
| 1,099.298463
| 2.726344
| 3.128157
| 1,096.57
|
Qwen2.5-32B-Instruct
| 1,086.710098
| 1,089.597775
| 1,092.520709
| 2.922934
| 2.887676
| 1,089.6
|
Claude-3-Sonnet-20240229
| 1,082.812603
| 1,085.447331
| 1,088.714254
| 3.266923
| 2.634728
| 1,085.45
|
Gemma-2-27B-Instruct
| 1,079.739447
| 1,083.152097
| 1,086.425958
| 3.273861
| 3.41265
| 1,083.15
|
ReflectionCoder-DS-33B
| 1,079.043715
| 1,081.918291
| 1,084.999051
| 3.08076
| 2.874577
| 1,081.92
|
WhiteRabbitNeo-33B-v1.5
| 1,072.138378
| 1,075.441624
| 1,078.422101
| 2.980477
| 3.303246
| 1,075.44
|
Codestral-22B-v0.1
| 1,071.169882
| 1,074.090693
| 1,077.215857
| 3.125164
| 2.920811
| 1,074.09
|
OpenCoder-8B-Instruct
| 1,069.551176
| 1,072.50335
| 1,075.343789
| 2.840439
| 2.952173
| 1,072.5
|
AutoCoder
| 1,064.740693
| 1,067.587462
| 1,070.783312
| 3.195849
| 2.84677
| 1,067.59
|
DeepSeek-Coder-33B-Instruct
| 1,062.352648
| 1,065.138938
| 1,068.107644
| 2.968706
| 2.78629
| 1,065.14
|
Qwen2-72B-Chat
| 1,054.316279
| 1,057.024383
| 1,060.092816
| 3.068433
| 2.708104
| 1,057.02
|
Qwen2.5-14B-Instruct
| 1,048.736702
| 1,051.934737
| 1,055.217143
| 3.282405
| 3.198036
| 1,051.93
|
Hermes-2-Pro-Llama-3-70B
| 1,045.408052
| 1,048.491901
| 1,051.137366
| 2.645465
| 3.083849
| 1,048.49
|
Mixtral-8x22B-Instruct
| 1,044.578779
| 1,047.621859
| 1,050.638637
| 3.016778
| 3.04308
| 1,047.62
|
CodeLlama-70B-Instruct
| 1,043.31861
| 1,046.062888
| 1,049.149026
| 3.086139
| 2.744278
| 1,046.06
|
GPT-3.5-Turbo-0125
| 1,035.537708
| 1,038.605184
| 1,041.650359
| 3.045174
| 3.067477
| 1,038.61
|
CodeGeex4-All-9B
| 1,033.379199
| 1,036.325983
| 1,039.176851
| 2.850868
| 2.946784
| 1,036.33
|
DeepSeek-V2-Chat
| 1,033.184408
| 1,036.214959
| 1,038.905606
| 2.690646
| 3.030551
| 1,036.21
|
Qwen2.5-Coder-7B-Instruct
| 1,032.539377
| 1,035.401755
| 1,038.255868
| 2.854113
| 2.862378
| 1,035.4
|
Claude-3-Haiku-20240307
| 1,032.480477
| 1,035.378872
| 1,038.096841
| 2.717969
| 2.898395
| 1,035.38
|
Yi-Coder-9B-Chat
| 1,015.422323
| 1,018.378462
| 1,021.016184
| 2.637722
| 2.956139
| 1,018.38
|
Phi-3-Medium-128K-Instruct
| 1,013.69528
| 1,016.547463
| 1,019.568303
| 3.02084
| 2.852183
| 1,016.55
|
Phind-CodeLlama-34B-v2
| 1,008.122601
| 1,011.201742
| 1,013.771116
| 2.569374
| 3.079141
| 1,011.2
|
Llama-3.1-Nemotron-70B-Instruct
| 1,007.166397
| 1,010.151497
| 1,012.67024
| 2.518743
| 2.9851
| 1,010.15
|
Artigenz-Coder-DS-6.7B
| 1,004.88331
| 1,007.736548
| 1,010.649323
| 2.912775
| 2.853238
| 1,007.74
|
ReflectionCoder-DS-6.7B
| 1,001.202529
| 1,004.388161
| 1,007.242475
| 2.854314
| 3.185632
| 1,004.39
|
ReflectionCoder-CL-34B
| 1,000.153035
| 1,002.872194
| 1,006.039506
| 3.167313
| 2.719159
| 1,002.87
|
Nxcode-CQ-7B-Orpo
| 998.931598
| 1,001.645346
| 1,004.410185
| 2.764839
| 2.713748
| 1,001.65
|
Yi-Large
| 997.528592
| 1,000.12116
| 1,002.686464
| 2.565304
| 2.592568
| 1,000.12
|
DeepSeek-Coder-V2-Lite-Instruct
| 996.536791
| 999.216079
| 1,002.486371
| 3.270293
| 2.679287
| 999.22
|
Magicoder-S-DS-6.7B
| 995.838548
| 998.992966
| 1,002.171178
| 3.178212
| 3.154418
| 998.99
|
CodeQwen1.5-7B-Chat
| 994.146612
| 996.793925
| 999.883657
| 3.089732
| 2.647313
| 996.79
|
Athene-70B
| 992.799743
| 995.713048
| 998.770174
| 3.057126
| 2.913305
| 995.71
|
Qwen2.5-7B-Instruct
| 990.913144
| 993.707191
| 996.475247
| 2.768056
| 2.794047
| 993.71
|
StarCoder2-15B-Instruct-v0.1
| 988.729535
| 991.50379
| 994.542986
| 3.039197
| 2.774255
| 991.5
|
Qwen2-57B-A14B
| 987.541146
| 990.449986
| 993.474352
| 3.024366
| 2.908841
| 990.45
|
Tess-v2.5.2-Qwen2-72B
| 987.256892
| 990.173358
| 992.912571
| 2.739213
| 2.916466
| 990.17
|
Phi-3.1-Mini-128K-Instruct
| 987.351007
| 990.114897
| 992.678619
| 2.563721
| 2.76389
| 990.11
|
AutoCoder-S-6.7B
| 986.511663
| 989.637063
| 992.460218
| 2.823155
| 3.1254
| 989.64
|
C4AI-Command-R-08-2024
| 983.644805
| 986.3806
| 989.512713
| 3.132113
| 2.735796
| 986.38
|
Mistral-Small-Instruct-2409
| 983.456581
| 986.246175
| 989.053119
| 2.806944
| 2.789594
| 986.25
|
OpenCodeInterpreter-DS-6.7B
| 980.912566
| 983.729393
| 986.572446
| 2.843053
| 2.816826
| 983.73
|
Granite-Code-34B-Instruct
| 972.64682
| 975.29746
| 978.396144
| 3.098684
| 2.65064
| 975.3
|
Codestral-Mamba
| 971.766524
| 974.612879
| 977.537455
| 2.924576
| 2.846355
| 974.61
|
DeepSeek-Coder-6.7B-Instruct
| 963.810934
| 966.996599
| 969.736816
| 2.740217
| 3.185665
| 967
|
Qwen1.5-110B-Chat
| 960.400341
| 963.313381
| 966.048353
| 2.734972
| 2.91304
| 963.31
|
Yi-1.5-34B-Chat
| 950.075851
| 953.017233
| 955.918008
| 2.900776
| 2.941382
| 953.02
|
WaveCoder-Ultra-6.7B
| 949.961074
| 952.813846
| 955.811948
| 2.998102
| 2.852772
| 952.81
|
Yi-1.5-9B-Chat
| 948.511562
| 951.368342
| 954.021441
| 2.653099
| 2.856781
| 951.37
|
Granite-Code-20B-Instruct
| 944.32407
| 947.396367
| 949.842268
| 2.445902
| 3.072297
| 947.4
|
Command R+
| 936.687582
| 939.749656
| 942.306298
| 2.556643
| 3.062074
| 939.75
|
Gemma-2-9B-Instruct
| 934.146514
| 937.130534
| 940.080571
| 2.950037
| 2.98402
| 937.13
|
Qwen1.5-32B-Chat
| 927.250702
| 930.122754
| 933.251478
| 3.128725
| 2.872052
| 930.12
|
OpenCoder-1.5B-Instruct
| 926.427945
| 929.299347
| 932.425458
| 3.126111
| 2.871402
| 929.3
|
AutoCoder-QW-7B
| 925.930302
| 928.721825
| 931.260852
| 2.539027
| 2.791523
| 928.72
|
Mistral-Small-2402
| 924.084557
| 926.676113
| 929.72439
| 3.048277
| 2.591555
| 926.68
|
Qwen1.5-72B-Chat
| 922.591751
| 925.253465
| 928.265147
| 3.011682
| 2.661714
| 925.25
|
Llama-3.1-8B-Instruct
| 920.825615
| 923.602018
| 926.242243
| 2.640225
| 2.776403
| 923.6
|
CodeGemma-7B-Instruct
| 914.72205
| 917.730127
| 920.603174
| 2.873047
| 3.008077
| 917.73
|
Qwen2-7B-Instruct
| 906.45985
| 909.323001
| 911.875658
| 2.552657
| 2.86315
| 909.32
|
Phi-3.5-Mini-Instruct
| 902.919999
| 905.974784
| 908.983655
| 3.008871
| 3.054786
| 905.97
|
Phi-3-Small-128K-Instruct
| 898.112824
| 901.367302
| 904.262261
| 2.894959
| 3.254479
| 901.37
|
Phi-3-Mini-128K-Instruct
| 898.618936
| 901.29949
| 903.97032
| 2.67083
| 2.680554
| 901.3
|
Llama-3-8B-Instruct
| 892.554636
| 895.620042
| 898.508874
| 2.888832
| 3.065406
| 895.62
|
Mistral-Large-2402
| 889.729017
| 892.731581
| 895.585374
| 2.853793
| 3.002564
| 892.73
|
ReflectionCoder-CL-7B
| 888.093087
| 890.922508
| 893.76295
| 2.840442
| 2.829421
| 890.92
|
OpenChat-3.6-8B-20240522
| 865.16096
| 868.181233
| 871.350582
| 3.169349
| 3.020272
| 868.18
|
CodeLlama-34B-Instruct
| 864.617312
| 867.652992
| 870.554993
| 2.902001
| 3.03568
| 867.65
|
Granite-3.0-8B-Instruct
| 860.043812
| 863.120221
| 866.291377
| 3.171157
| 3.076409
| 863.12
|
CodeLlama-13B-Instruct
| 836.504916
| 839.394311
| 842.337371
| 2.94306
| 2.889395
| 839.39
|
InternLM2.5-7B-Chat
| 823.152029
| 826.537817
| 829.42656
| 2.888744
| 3.385788
| 826.54
|
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Homepage:
bigcode-bench.github.io
Repository:
github.com
Paper:
Link
Point of Contact:
terry.zhuo@monash.edu
Size of downloaded dataset files:
20.7 kB
Size of the auto-converted Parquet files:
20.7 kB
Number of rows:
222