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README.md
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---
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license:
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pretty_name: FARBench Docker Images
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tags:
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- benchmark
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| `ade20k` | computer vision | `mIoU` | [ade20k-cu118](./ade20k-cu118.docker.tar.gz) | [ade20k-cu128](./ade20k-cu128.docker.tar.gz) |
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| `aime_math_rl` | natural language processing | `exact_match` | [aime_math_rl-cu118](./aime_math_rl-cu118.docker.tar.gz) | [aime_math_rl-cu128](./aime_math_rl-cu128.docker.tar.gz) |
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| `assist2009_kt` | natural language processing | `
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| `asvspoof2021_la` | audio/speech
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| `bigcodebench_codegen` | natural language processing | `pass_at_1` | [bigcodebench_codegen-cu118](./bigcodebench_codegen-cu118.docker.tar.gz) | [bigcodebench_codegen-cu128](./bigcodebench_codegen-cu128.docker.tar.gz) |
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| `cifar100lt` | computer vision | `balanced_accuracy` | [cifar100lt-cu118](./cifar100lt-cu118.docker.tar.gz) | [cifar100lt-cu128](./cifar100lt-cu128.docker.tar.gz) |
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| `cifar100n` | computer vision | `accuracy` | [cifar100n-cu118](./cifar100n-cu118.docker.tar.gz) | [cifar100n-cu128](./cifar100n-cu128.docker.tar.gz) |
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| `climsim_lowres` | AI for science | `mean_r2` | [climsim_lowres-cu118](./climsim_lowres-cu118.docker.tar.gz) | [climsim_lowres-cu128](./climsim_lowres-cu128.docker.tar.gz) |
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| `cogniplan` | robotics | `exploration_score` | [cogniplan-cu118](./cogniplan-cu118.docker.tar.gz) | [cogniplan-cu128](./cogniplan-cu128.docker.tar.gz) |
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| `crohme_hmer` | computer vision | `exprate` | [crohme_hmer-cu118](./crohme_hmer-cu118.docker.tar.gz) | [crohme_hmer-cu128](./crohme_hmer-cu128.docker.tar.gz) |
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| `div2k_sr_x4` | Computer Vision | `psnr_y` | [div2k_sr_x4-cu118](./div2k_sr_x4-cu118.docker.tar.gz) | [div2k_sr_x4-cu128](./div2k_sr_x4-cu128.docker.tar.gz) |
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| `domainnet_quickdraw` | computer vision | `accuracy` | [domainnet_quickdraw-cu118](./domainnet_quickdraw-cu118.docker.tar.gz) | [domainnet_quickdraw-cu128](./domainnet_quickdraw-cu128.docker.tar.gz) |
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| `etth1_forecasting` | AI for science | `mse` | [etth1_forecasting-cu118](./etth1_forecasting-cu118.docker.tar.gz) | [etth1_forecasting-cu128](./etth1_forecasting-cu128.docker.tar.gz) |
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| `flip_aav` | AI for science | `
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| `habitat3` | robotics | `nav_seek_success` | [habitat3-cu118](./habitat3-cu118.docker.tar.gz) | [habitat3-cu128](./habitat3-cu128.docker.tar.gz) |
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| `humanoidbench` | robotics | `success_rate` | [humanoidbench-cu118](./humanoidbench-cu118.docker.tar.gz) | [humanoidbench-cu128](./humanoidbench-cu128.docker.tar.gz) |
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| `iwildcam_wilds` |
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| `qlib_stock` | natural language processing | `ic_mean` | [qlib_stock-cu118](./qlib_stock-cu118.docker.tar.gz) | [qlib_stock-cu128](./qlib_stock-cu128.docker.tar.gz) |
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| `qm9` | AI for science | `mae` | [qm9-cu118](./qm9-cu118.docker.tar.gz) | [qm9-cu128](./qm9-cu128.docker.tar.gz) |
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| `terra_incognita` | computer vision | `balanced_accuracy` | [terra_incognita-cu118](./terra_incognita-cu118.docker.tar.gz) | [terra_incognita-cu128](./terra_incognita-cu128.docker.tar.gz) |
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| `vlabench_manipulation` | robotics | `success_rate` | [vlabench_manipulation-cu118](./vlabench_manipulation-cu118.docker.tar.gz) | [vlabench_manipulation-cu128](./vlabench_manipulation-cu128.docker.tar.gz) |
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| `voicebank_demand` | audio/speech
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| `weatherbench_z500t850` | AI for science | `
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| `wilds_fmow` |
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## CUDA variants
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## License
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The FARBench framework is released under the
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---
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license: apache-2.0
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pretty_name: FARBench Docker Images
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tags:
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- benchmark
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|------|--------|--------|------|------|
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| `ade20k` | computer vision | `mIoU` | [ade20k-cu118](./ade20k-cu118.docker.tar.gz) | [ade20k-cu128](./ade20k-cu128.docker.tar.gz) |
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| `aime_math_rl` | natural language processing | `exact_match` | [aime_math_rl-cu118](./aime_math_rl-cu118.docker.tar.gz) | [aime_math_rl-cu128](./aime_math_rl-cu128.docker.tar.gz) |
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| `assist2009_kt` | natural language processing | `auc` | [assist2009_kt-cu118](./assist2009_kt-cu118.docker.tar.gz) | [assist2009_kt-cu128](./assist2009_kt-cu128.docker.tar.gz) |
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| `asvspoof2021_la` | audio/speech | `eer` | [asvspoof2021_la-cu118](./asvspoof2021_la-cu118.docker.tar.gz) | [asvspoof2021_la-cu128](./asvspoof2021_la-cu128.docker.tar.gz) |
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| `bigcodebench_codegen` | natural language processing | `pass_at_1` | [bigcodebench_codegen-cu118](./bigcodebench_codegen-cu118.docker.tar.gz) | [bigcodebench_codegen-cu128](./bigcodebench_codegen-cu128.docker.tar.gz) |
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| `cifar100lt` | computer vision | `balanced_accuracy` | [cifar100lt-cu118](./cifar100lt-cu118.docker.tar.gz) | [cifar100lt-cu128](./cifar100lt-cu128.docker.tar.gz) |
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| `cifar100n` | computer vision | `accuracy` | [cifar100n-cu118](./cifar100n-cu118.docker.tar.gz) | [cifar100n-cu128](./cifar100n-cu128.docker.tar.gz) |
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| `climsim_lowres` | AI for science | `mean_r2` | [climsim_lowres-cu118](./climsim_lowres-cu118.docker.tar.gz) | [climsim_lowres-cu128](./climsim_lowres-cu128.docker.tar.gz) |
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| `cogniplan` | robotics | `plan_success` | [cogniplan-cu118](./cogniplan-cu118.docker.tar.gz) | [cogniplan-cu128](./cogniplan-cu128.docker.tar.gz) |
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| `crohme_hmer` | computer vision | `exprate` | [crohme_hmer-cu118](./crohme_hmer-cu118.docker.tar.gz) | [crohme_hmer-cu128](./crohme_hmer-cu128.docker.tar.gz) |
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| `domainnet_quickdraw` | computer vision | `accuracy` | [domainnet_quickdraw-cu118](./domainnet_quickdraw-cu118.docker.tar.gz) | [domainnet_quickdraw-cu128](./domainnet_quickdraw-cu128.docker.tar.gz) |
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| `etth1_forecasting` | AI for science | `mse` | [etth1_forecasting-cu118](./etth1_forecasting-cu118.docker.tar.gz) | [etth1_forecasting-cu128](./etth1_forecasting-cu128.docker.tar.gz) |
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| `flip_aav` | AI for science | `spearman` | [flip_aav-cu118](./flip_aav-cu118.docker.tar.gz) | [flip_aav-cu128](./flip_aav-cu128.docker.tar.gz) |
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| `habitat3` | robotics | `nav_seek_success` | [habitat3-cu118](./habitat3-cu118.docker.tar.gz) | [habitat3-cu128](./habitat3-cu128.docker.tar.gz) |
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| `humanoidbench` | robotics | `success_rate` | [humanoidbench-cu118](./humanoidbench-cu118.docker.tar.gz) | [humanoidbench-cu128](./humanoidbench-cu128.docker.tar.gz) |
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| `iwildcam_wilds` | AI for science | `macro_f1` | [iwildcam_wilds-cu118](./iwildcam_wilds-cu118.docker.tar.gz) | [iwildcam_wilds-cu128](./iwildcam_wilds-cu128.docker.tar.gz) |
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| `metrla_traffic` | AI for science | `mae` | [metrla_traffic-cu118](./metrla_traffic-cu118.docker.tar.gz) | [metrla_traffic-cu128](./metrla_traffic-cu128.docker.tar.gz) |
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| `minigrid` | robotics | `return` | [minigrid-cu118](./minigrid-cu118.docker.tar.gz) | [minigrid-cu128](./minigrid-cu128.docker.tar.gz) |
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| `objaverse_3dgen` | computer vision | `clip_score` | [objaverse_3dgen-cu118](./objaverse_3dgen-cu118.docker.tar.gz) | [objaverse_3dgen-cu128](./objaverse_3dgen-cu128.docker.tar.gz) |
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| `ogbg_molpcba` | AI for science | `ap` | [ogbg_molpcba-cu118](./ogbg_molpcba-cu118.docker.tar.gz) | [ogbg_molpcba-cu128](./ogbg_molpcba-cu128.docker.tar.gz) |
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| `qlib_stock` | AI for science | `ic_mean` | [qlib_stock-cu118](./qlib_stock-cu118.docker.tar.gz) | [qlib_stock-cu128](./qlib_stock-cu128.docker.tar.gz) |
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| `qm9` | AI for science | `mae` | [qm9-cu118](./qm9-cu118.docker.tar.gz) | [qm9-cu128](./qm9-cu128.docker.tar.gz) |
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| `screenspot_pro` | computer vision | `grounding_accuracy` | [screenspot_pro-cu118](./screenspot_pro-cu118.docker.tar.gz) | [screenspot_pro-cu128](./screenspot_pro-cu128.docker.tar.gz) |
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| `split_cifar100` | computer vision | `accuracy` | [split_cifar100-cu118](./split_cifar100-cu118.docker.tar.gz) | [split_cifar100-cu128](./split_cifar100-cu128.docker.tar.gz) |
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| `terra_incognita` | computer vision | `accuracy` | [terra_incognita-cu118](./terra_incognita-cu118.docker.tar.gz) | [terra_incognita-cu128](./terra_incognita-cu128.docker.tar.gz) |
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| `vlabench_manipulation` | robotics | `success_rate` | [vlabench_manipulation-cu118](./vlabench_manipulation-cu118.docker.tar.gz) | [vlabench_manipulation-cu128](./vlabench_manipulation-cu128.docker.tar.gz) |
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| `voicebank_demand` | audio/speech | `pesq` | [voicebank_demand-cu118](./voicebank_demand-cu118.docker.tar.gz) | [voicebank_demand-cu128](./voicebank_demand-cu128.docker.tar.gz) |
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| `weatherbench_z500t850` | AI for science | `rmse` | [weatherbench_z500t850-cu118](./weatherbench_z500t850-cu118.docker.tar.gz) | [weatherbench_z500t850-cu128](./weatherbench_z500t850-cu128.docker.tar.gz) |
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| `wilds_fmow` | AI for science | `worst_region_accuracy` | [wilds_fmow-cu118](./wilds_fmow-cu118.docker.tar.gz) | [wilds_fmow-cu128](./wilds_fmow-cu128.docker.tar.gz) |
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## CUDA variants
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## License
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The FARBench framework is released under the Apache-2.0 License. The bundled datasets and pre-cached model weights are redistributed from their original sources and retain the original licenses; see each task's task.yaml in the FARBench code repository for the upstream dataset reference.
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