diff --git a/README.md b/README.md index a6b28e1bba4c1bfc9a112f7a752891f719ac5f50..467827961dba3f5514db42432c4c250b2796043f 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,7245 @@ --- -license: Apache License 2.0 +license: gpl-3.0 +tags: +- symbolic-regression +- scientific-discovery +- benchmark +- srsd +- srbench +- llm-srbench +pretty_name: 'sim-datasets: a benchmark for Scientific Intelligent Modeling' +size_categories: +- 100M A standardized benchmark collection designed for the Scientific Intelligent Modelling (SIM) toolkit, providing comprehensive datasets for symbolic regression research and applications. -#### 下载方法 -:modelscope-code[]{type="sdk"} -:modelscope-code[]{type="git"} +## Overview +SIM-Datasets serves as a unified benchmark for symbolic regression tasks, offering standardized datasets with consistent formatting and evaluation protocols. This collection is specifically curated to support the Scientific Intelligent Modelling ecosystem, enabling researchers and practitioners to develop, test, and compare symbolic regression algorithms effectively. + +## Installation + +### Method 1: Git Clone + +Clone the repository from Hugging Face: + +```bash +git lfs install +git clone https://huggingface.co/datasets/scientific-intelligent-modelling/sim-datasets +``` + +Or from ModelScope (for users in China): + +```bash +git lfs install +git clone https://www.modelscope.cn/datasets/scientific-intelligent-modelling/sim-datasets.git +``` + +### Method 2: Python Package + +Install via pip for seamless integration: + +```bash +pip install sim-datasets +``` + +## License + +This project is licensed under the GPL-3.0 License. See the LICENSE file for details. + +## Contributing + +We welcome contributions! Please feel free to submit issues or pull requests to help improve this benchmark collection. \ No newline at end of file diff --git a/llm-srbench/bio_pop_growth/BPG0/formula.py b/llm-srbench/bio_pop_growth/BPG0/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..5f032e7a8b84913e52fa19347f9ef0f59cddbcd6 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG0/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.9539969835279999 * (1 - P / 96.90688297671034) * P + 0.9539969835279999 * P ** 0.3333333333333333 diff --git a/llm-srbench/bio_pop_growth/BPG0/id_test.csv b/llm-srbench/bio_pop_growth/BPG0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..2f17317c903dd7bc3f1e8bb07695908105fccf49 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01c47943843a79996e046cf1275d8b812dc4784f7a812313c33c34cbf81d25f7 +size 29349 diff --git 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[-0.06796845048666, 0.100564457476139] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG0/ood_test.csv b/llm-srbench/bio_pop_growth/BPG0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f75eb2442b34ef0cd3ce4b1e794b98f28019bed --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93c3ce07e742819126077fdaea15cdde1aa73ef9f47e5e7dc338bd0e19fa50e3 +size 29596 diff --git a/llm-srbench/bio_pop_growth/BPG0/package.tar.gz b/llm-srbench/bio_pop_growth/BPG0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4f5cbd2fb100dcb8998d0b462e58d4f890166a84 --- /dev/null +++ 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sha256:fd702e003193a276823d6e376c7d664d0073924d4075ea7a1d390b6f80fe262c +size 28075 diff --git a/llm-srbench/bio_pop_growth/BPG1/formula.py b/llm-srbench/bio_pop_growth/BPG1/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..02fe7eead022e8aefdff80efc419a5dc726f6449 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG1/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.3156057016002752 * P * np.exp(-0.05405074842498068 * t) + 0.3156057016002752 * P**2 / (9.870854086995406 * P + 1) diff --git a/llm-srbench/bio_pop_growth/BPG1/id_test.csv b/llm-srbench/bio_pop_growth/BPG1/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d71231e07d8e2487784c2bea577a168ace9a7811 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG1/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d6f0ff146586742bb3e03633d1ca8f1c206dfb3f9385ea611922084892f8d360 +size 28215 diff --git 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[48.775184631347656, 58.080604553222656] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG1/ood_test.csv b/llm-srbench/bio_pop_growth/BPG1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0e9f713f201f070f5728849bc8c6a778b2f6c816 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ede72550f415b40592a86109ba46722611b203c7530a05843923d24be286dcbe +size 27874 diff --git a/llm-srbench/bio_pop_growth/BPG1/package.tar.gz b/llm-srbench/bio_pop_growth/BPG1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b6e15a673a054a7331c8a54dce2385b7f1fe7ffe --- /dev/null +++ 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MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG10/ood_test.csv b/llm-srbench/bio_pop_growth/BPG10/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f4e914aadf621b551651807589ff6e9e0bb951ff --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG10/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7baea24e2c77870fcec4c92340b66edbe0668de2547a30ee1056069097d9862 +size 27803 diff --git a/llm-srbench/bio_pop_growth/BPG10/package.tar.gz b/llm-srbench/bio_pop_growth/BPG10/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..589fa370a3b7a6b2c824977f3ef590e35b460de8 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG10/package.tar.gz @@ -0,0 +1,3 @@ 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LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG11/ood_test.csv b/llm-srbench/bio_pop_growth/BPG11/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..964b489c8f6d22fbc5a031f8fa68efb037de1f6b --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG11/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:47004537d37cb14a43df51a2d3e5b340288b8f0fe23caf517bed4f554cc2329b +size 29237 diff --git a/llm-srbench/bio_pop_growth/BPG11/package.tar.gz b/llm-srbench/bio_pop_growth/BPG11/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..2187c7abd8714c669acac987968418273d85be3b --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG11/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 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b/llm-srbench/bio_pop_growth/BPG12/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..61925f45f941ad42df82bed498ce8f02f2c7520b --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG12/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.8770002846146427 * P * np.sin(0.5671736066225963 * t) + 0.7013915186995147 * (1 - P / 65.7541311408653) * P diff --git a/llm-srbench/bio_pop_growth/BPG12/id_test.csv b/llm-srbench/bio_pop_growth/BPG12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fff0ecf1cd5a8ff9fec8127b4603267969fa996e --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8dd754fc64f4efe6a5fd5e0ce14ea9682fb5582f7af714fceec66986c387efe4 +size 28601 diff --git a/llm-srbench/bio_pop_growth/BPG12/metadata.yaml b/llm-srbench/bio_pop_growth/BPG12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..735aa6d67420056809929afc663e7fac70039d74 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG12/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__bio_pop_growth__BPG12 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [1.0, 54.087017059326165] + ood_range: [54.11062240600586, 60.0] + - name: P + type: continuous + train_range: [1.0, 136.5778350830078] + ood_range: [17.544462203979492, 136.52293395996094] + + target: + name: dP_dt + type: continuous + train_range: [-33.35061264038086, 50.45180892944336] + ood_range: [-23.597190856933597, 50.378955841064446] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG12/ood_test.csv b/llm-srbench/bio_pop_growth/BPG12/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..26e562fad05b099b267e71368fdf79804e245b33 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG12/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:389bce1f960522a3cf75b333401dff3773c1c6023e6558dca27cf63bf738b966 +size 28427 diff --git a/llm-srbench/bio_pop_growth/BPG12/package.tar.gz b/llm-srbench/bio_pop_growth/BPG12/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..2cf833b145381421bda229fc6fb22db0da7edcd5 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG12/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/llm-srbench/bio_pop_growth/BPG13/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..3c03afff63cca93b75ade0589bf57104e09472d1 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG13/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.20107390997009728*(-1 + P/5.636576533003584)*(1 - P/10.232561336048414)*P + 0.20107390997009728*P + 0.20107390997009728*P/(1 + np.exp(-5.636576533003584*(-0.6341847122108325 + P))) diff --git a/llm-srbench/bio_pop_growth/BPG13/id_test.csv b/llm-srbench/bio_pop_growth/BPG13/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..67ce08c2bab62b47f51d59df54ffd3780ea7cd49 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG13/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fd7f0cd165921e717141caadc563bfa541d208d7a6b771bd8ac4fd86622a2b4a +size 29631 diff --git a/llm-srbench/bio_pop_growth/BPG13/metadata.yaml b/llm-srbench/bio_pop_growth/BPG13/metadata.yaml new file mode 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New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG13/ood_test.csv b/llm-srbench/bio_pop_growth/BPG13/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..2106f8bc10763dae18e969b0d04a68092e2e891d --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG13/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:09994520af3ef190a2b12432513f6acbf5c05c06b06245b6d69f8479159a3be1 +size 29959 diff --git a/llm-srbench/bio_pop_growth/BPG13/package.tar.gz b/llm-srbench/bio_pop_growth/BPG13/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f06671e7494bf00ba007a8601f9bc9372047ea2f --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG13/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/llm-srbench/bio_pop_growth/BPG14/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..668d55f97bf0f64a379444e7e249cf074158a7ad --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG14/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.11423898258902421*(1 - P/40.69810220267985)*P + 0.11423898258902421*(1 - np.exp(-0.08368363514073095*P))*P + 0.11423898258902421*P*np.exp(-0.08368363514073095*t) diff --git a/llm-srbench/bio_pop_growth/BPG14/id_test.csv b/llm-srbench/bio_pop_growth/BPG14/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c12058f4012d7636fd7596ddb83e6210f83a436a --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG14/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a5db4a2de38a706ee3e9101df47ec41aa42f5acc05334f5e1541b7142ccfd9b +size 28835 diff --git a/llm-srbench/bio_pop_growth/BPG14/metadata.yaml b/llm-srbench/bio_pop_growth/BPG14/metadata.yaml new file mode 100644 index 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for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG14/ood_test.csv b/llm-srbench/bio_pop_growth/BPG14/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7f02a6b907cea3806a3cc260e30ea79d324e0a90 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG14/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:991ae422cd3193e892deec5294675d2023ce503486c4a29bc380b69ba608c574 +size 29756 diff --git a/llm-srbench/bio_pop_growth/BPG14/package.tar.gz b/llm-srbench/bio_pop_growth/BPG14/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..73497f6d2b8ffaaf1df4a36c47db75b7edc78cd3 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG14/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/llm-srbench/bio_pop_growth/BPG15/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..12a24be43078ff0a8d4ab7e17b1f122597e7c842 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG15/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.4866911314650416 * P**0.333333333333333 + 0.4866911314650416 * P * np.exp(-0.08577402101126279 * t) diff --git a/llm-srbench/bio_pop_growth/BPG15/id_test.csv b/llm-srbench/bio_pop_growth/BPG15/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..612dfe473a69ee2d060ff304596a66d81e7d17c4 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG15/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f1776559dd3fb99a68730df0dafdb614f8086104b300fec66289915f7ffd1cba +size 28052 diff --git a/llm-srbench/bio_pop_growth/BPG15/metadata.yaml b/llm-srbench/bio_pop_growth/BPG15/metadata.yaml new file mode 100644 index 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Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG15/ood_test.csv b/llm-srbench/bio_pop_growth/BPG15/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..583014c889e8627ae6b38c6291ad558cf094d5f7 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG15/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e62a153d8e0b7102d3ec87c7362bcee59bf462eb02e9eaca47da71daf64c3a34 +size 27916 diff --git a/llm-srbench/bio_pop_growth/BPG15/package.tar.gz b/llm-srbench/bio_pop_growth/BPG15/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..2c4b3d76bf84dab4eb9668ed06ca88304e0681f4 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG15/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/llm-srbench/bio_pop_growth/BPG16/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..2ed1c93381de3002f23d05b7261b273a45a35808 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG16/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.8677806610632854*(-1 + P/6.057935627201261)*(1 - P/14.185052779605893)*P + 0.8677806610632854*P**0.333333333333333 + 0.8677806610632854*P diff --git a/llm-srbench/bio_pop_growth/BPG16/id_test.csv b/llm-srbench/bio_pop_growth/BPG16/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0dcf74c88a9d1a4787bbc8a86afbb6e82ba5057c --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG16/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:47883d39d163cec5ca45e34cfd50f8a712502b7b6b6e6992cdc4be9580dc58ad +size 29600 diff --git a/llm-srbench/bio_pop_growth/BPG16/metadata.yaml b/llm-srbench/bio_pop_growth/BPG16/metadata.yaml new file mode 100644 index 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title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG16/ood_test.csv b/llm-srbench/bio_pop_growth/BPG16/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ecd8c9c2b04150141b2bba54bf0014e4894016b8 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG16/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2cf9ad365d56b2d982b176d9800df6df691c4db418e04e62ca58b23829a84653 +size 29614 diff --git a/llm-srbench/bio_pop_growth/BPG16/package.tar.gz b/llm-srbench/bio_pop_growth/BPG16/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..463fa3b7f7a51ce659c22952779d1aebe32a33bf --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG16/package.tar.gz @@ -0,0 +1,3 @@ +version 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+ title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG17/ood_test.csv b/llm-srbench/bio_pop_growth/BPG17/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..82d0cd2baedd6a0403d1ed95b6d2ba9cc589bff2 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG17/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65bb4ed0b86f5189718e1ede73601c53eccdad7e1acfdd7f2bb2242251d75603 +size 30325 diff --git a/llm-srbench/bio_pop_growth/BPG17/package.tar.gz b/llm-srbench/bio_pop_growth/BPG17/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9fe02fd8af1b83e6df7709cabb49a6e8a427eae7 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG17/package.tar.gz @@ -0,0 +1,3 @@ +version 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Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG18/ood_test.csv b/llm-srbench/bio_pop_growth/BPG18/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..171cc7dc308a3301454246048d2bad09dee6abaf --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG18/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a16950c68b58a134ebdf8a5287ddcf3697e99a3aa38cc612b2571f27b44df53a +size 28443 diff --git a/llm-srbench/bio_pop_growth/BPG18/package.tar.gz b/llm-srbench/bio_pop_growth/BPG18/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..27808e7afe319a6189b84bf54edf5572560deade --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG18/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG19/ood_test.csv b/llm-srbench/bio_pop_growth/BPG19/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..592166e5d7348851c9fbedc93b1821fcde52c8bc --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG19/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:24c75c2b520594ccf32af84f728904bd37ea3b691fa60c8710966738d62967a9 +size 29936 diff --git a/llm-srbench/bio_pop_growth/BPG19/package.tar.gz b/llm-srbench/bio_pop_growth/BPG19/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0e8e016d401e4743e66e6c048ec577bc88be928d --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG19/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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0000000000000000000000000000000000000000..96c7bc5569fc1c768adc5a98473675635ce1c968 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG2/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__bio_pop_growth__BPG2 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [1.0, 54.087017059326165] + ood_range: [54.11062240600586, 60.0] + - name: P + type: continuous + train_range: [1.0, 30.49044418334961] + ood_range: [21.24883270263672, 37.46926498413086] + + target: + name: dP_dt + type: continuous + train_range: [-5.458624839782715, 6.263537883758545] + ood_range: [-6.818374633789063, 7.535098075866699] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG2/ood_test.csv b/llm-srbench/bio_pop_growth/BPG2/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ba49bf515f697290df9fe182061582dc42f672ac --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG2/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:181048d8946216450bd13bf206fdbf378adec0fbc4f86805f1981d08b2c42fd0 +size 28591 diff --git a/llm-srbench/bio_pop_growth/BPG2/package.tar.gz b/llm-srbench/bio_pop_growth/BPG2/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4c632102e5542543df4c3e4b2529bd7881533f75 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG2/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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0.1452370584011077] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG20/ood_test.csv b/llm-srbench/bio_pop_growth/BPG20/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..539208cddcdd91d5a19958fdc67c238827783c45 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG20/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a73e434bb41ec05bee8d02282be03eb1c4b411818212a352808e9f572eb8a8a +size 29422 diff --git a/llm-srbench/bio_pop_growth/BPG20/package.tar.gz b/llm-srbench/bio_pop_growth/BPG20/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..cce10e59261c12720bdbe23623bd71c6efa8ced2 --- /dev/null +++ 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0.0323775708675384] + ood_range: [-0.0001111357050831, -4.8687368689570576e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG21/ood_test.csv b/llm-srbench/bio_pop_growth/BPG21/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..52d3a076983b1d7bb3c3d942f309433d1ab15b06 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG21/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7fcdc9a5f48c25dcfacd594fac404845d615dc5dda1ff226a1414189e5e2b04 +size 32854 diff --git a/llm-srbench/bio_pop_growth/BPG21/package.tar.gz b/llm-srbench/bio_pop_growth/BPG21/package.tar.gz new file mode 100644 index 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+ ood_range: [-0.015997102484107, 0.0693235546350479] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG23/ood_test.csv b/llm-srbench/bio_pop_growth/BPG23/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0bb655937171957894f066e1adcdf1e827edb598 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG23/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21c6c2728b831975694f19c7d71a4c7d442f080aec1ad4e4d754af9bc7b9c7d8 +size 29551 diff --git a/llm-srbench/bio_pop_growth/BPG23/package.tar.gz b/llm-srbench/bio_pop_growth/BPG23/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..82ed79869f2c777c7a9e87cb617673b1706b0030 --- /dev/null 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[0.0012462933082133, 0.0049215489998459] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG4/ood_test.csv b/llm-srbench/bio_pop_growth/BPG4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cca951614d5b0e7ff98e9b2101f8698f7df35540 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:acf48c8b0e5cb7d87d1c769c75f1070822ddd65dac3c4ea0addb471f12fe19a8 +size 29779 diff --git a/llm-srbench/bio_pop_growth/BPG4/package.tar.gz b/llm-srbench/bio_pop_growth/BPG4/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..24cea80fa403042a28596ef0939a9e12649849c9 --- /dev/null +++ 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0.0798620656132698] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG5/ood_test.csv b/llm-srbench/bio_pop_growth/BPG5/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..eca0e40f1ab0efbd8d41d3652475450737bf3d89 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG5/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8640b6b4d151be0dfa669877f9de10512ab6adbb6289105c80ad74d454fe40ac +size 29483 diff --git a/llm-srbench/bio_pop_growth/BPG5/package.tar.gz b/llm-srbench/bio_pop_growth/BPG5/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a9f3a3be29ec37090a46896c56a5e78e5dcf6778 --- /dev/null +++ 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[-0.000193055049749, 0.0001385165232932] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG6/ood_test.csv b/llm-srbench/bio_pop_growth/BPG6/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b5ddcb3649c55242b041ac2af9dd82937218e028 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG6/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b786ef01d3b33e0794cd352028b5184aaf34e722c3b0f650590ec365d75a2ca3 +size 31600 diff --git a/llm-srbench/bio_pop_growth/BPG6/package.tar.gz b/llm-srbench/bio_pop_growth/BPG6/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5b6a9a073605479b2f298b98271471843e32f6a3 --- /dev/null +++ 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[-0.0119898384436964, 0.0172621961683034] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG7/ood_test.csv b/llm-srbench/bio_pop_growth/BPG7/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a68c7539fcfbd4f3db10ad2ba2eef9927aba9b0 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG7/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ce6d33d5ba29f4d0935aa98601eb98871ce8bf022a076b1c8cbc7de60740a5b +size 29933 diff --git a/llm-srbench/bio_pop_growth/BPG7/package.tar.gz b/llm-srbench/bio_pop_growth/BPG7/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..3b739e7bc67ce79a482455c1f996b92824d5b442 --- /dev/null +++ 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sha256:ee267673eb75a644dce5d43bc41a982f693ca245ab195feb16b0ffdb97f89347 +size 28179 diff --git a/llm-srbench/bio_pop_growth/BPG8/formula.py b/llm-srbench/bio_pop_growth/BPG8/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..f374bd7f39ed5f944511779a6352355308589961 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG8/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.9909642091509507*(1 - P/39.01184604772507)*P + 0.9909642091509507*P**0.333333333333333 + 0.9909642091509507*P diff --git a/llm-srbench/bio_pop_growth/BPG8/id_test.csv b/llm-srbench/bio_pop_growth/BPG8/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..65bf8b6448f65fc15db218cd380f9cfb4f7b0309 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG8/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:50a5080bb2beff895a9b3eac0cd9de6127c47852f53bf2db01968e66670a7d80 +size 29357 diff --git a/llm-srbench/bio_pop_growth/BPG8/metadata.yaml 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0.1313011795282363] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG8/ood_test.csv b/llm-srbench/bio_pop_growth/BPG8/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a11b88a326eb00cd6071489c690aa68448eb24d5 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG8/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf724d03cb9ee2f07455c660d01d49cec225dfd42b2d17b067f026998c83a16e +size 29460 diff --git a/llm-srbench/bio_pop_growth/BPG8/package.tar.gz b/llm-srbench/bio_pop_growth/BPG8/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5ad0d418485d9bff241250cad41f38fc8016220b --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG8/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65c7152e9e97714cc45d47a0e0c37e3cda2ef942612ecc8ad72e53bd6d2c1f3f +size 120414 diff --git a/llm-srbench/bio_pop_growth/BPG8/train.csv b/llm-srbench/bio_pop_growth/BPG8/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..fef8afe55b6e72b4c894f95823a5a1f2159e9a61 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG8/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62dc0801cc506c2e521b8ed577729d15b1ea4dd08b44be86632ef3bdad3e7b7e +size 193719 diff --git a/llm-srbench/bio_pop_growth/BPG8/valid.csv b/llm-srbench/bio_pop_growth/BPG8/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..bcb42039286c28c7f64564e20c440f7b96cd6007 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG8/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ace819eba898ee7c0082de01bd0d03b49d10846f15de9e84fee97a0367472ec1 +size 27691 diff --git a/llm-srbench/bio_pop_growth/BPG9/formula.py b/llm-srbench/bio_pop_growth/BPG9/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..91949826c169f3c7d032cb40ec85de706556f77e --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG9/formula.py @@ -0,0 +1,2 @@ +def dP_dt(t, P): + return 0.1699888096710614*(-1 + P/1.0472843670254641)*(1 - P/10.210545156320043)*P + 0.1699888096710614*(1 - P/10.210545156320043)*P + 0.1699888096710614*(1 - np.exp(-0.09709294493863778*P))*P diff --git a/llm-srbench/bio_pop_growth/BPG9/id_test.csv b/llm-srbench/bio_pop_growth/BPG9/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ee66a2dda5f5e9ac79a07d5b653ec297702459e2 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG9/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:53d67152b6cc7acf186dbcad9bef19203e3491b7f105c86c33812da422a3bfa7 +size 29736 diff --git a/llm-srbench/bio_pop_growth/BPG9/metadata.yaml b/llm-srbench/bio_pop_growth/BPG9/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fe1f48aed3a3ea4326560458381e25695381d01a --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG9/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__bio_pop_growth__BPG9 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [1.0, 54.098819732666016] + ood_range: [54.11062240600586, 60.0] + - name: P + type: continuous + train_range: [1.0, 10.860922813415527] + ood_range: [10.842653274536133, 10.858882904052734] + + target: + name: dP_dt + type: continuous + train_range: [-0.0164870247244834, 3.096616506576538] + ood_range: [-0.0125586595386266, 0.0185931175947189] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/bio_pop_growth/BPG9/ood_test.csv b/llm-srbench/bio_pop_growth/BPG9/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f742c1d4abfd4cc98b1edbef918a6efb5c92202d --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG9/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:768a5ed6b6fad88fb46a2fca4fadf0f218eb06159bd1b4cdeac10d9c68fbd825 +size 29861 diff --git a/llm-srbench/bio_pop_growth/BPG9/package.tar.gz b/llm-srbench/bio_pop_growth/BPG9/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..85d5269059cf75f1fd74dd5fcde5da594f7896b8 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG9/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f7e2fa68c5d31fa8fa56b22ddb51d7615871163e846bea0326349d50a88901eb +size 124911 diff --git a/llm-srbench/bio_pop_growth/BPG9/train.csv b/llm-srbench/bio_pop_growth/BPG9/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..47b7342a72495bf57578d28366bf9ee154f9bae4 --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG9/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fd42b9153d4a931455725f876426404318f838980f2600c4cf2bcf83dbeb2a69 +size 196994 diff --git a/llm-srbench/bio_pop_growth/BPG9/valid.csv b/llm-srbench/bio_pop_growth/BPG9/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..528a79425a3615acad9a8e2bcde56de46cd8a2ed --- /dev/null +++ b/llm-srbench/bio_pop_growth/BPG9/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73b97f264e4ab9a2436b61146a0f337063268f0a2f44f2ea3b72aafedf6b03ef +size 28166 diff --git a/llm-srbench/chem_react/CRK0/formula.py b/llm-srbench/chem_react/CRK0/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..897555518c469ecf7800a430476ec387cdf17496 --- /dev/null +++ b/llm-srbench/chem_react/CRK0/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.18997742423620262 + alpha_z = 0.18997742423620262 + beta = 0.7497988950401423 + return -alpha * A**2 + alpha_z * A**2 / (beta * A**4 + 1) diff --git a/llm-srbench/chem_react/CRK0/id_test.csv b/llm-srbench/chem_react/CRK0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..2d30628729fdbe0bf5ffd2b6fdcb6c34aeda1dfc --- /dev/null +++ b/llm-srbench/chem_react/CRK0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:feea40db470cc370cb9ffd49a41eb56885ceb9e2243867ee0cdcfce4371455e1 +size 30379 diff --git a/llm-srbench/chem_react/CRK0/metadata.yaml b/llm-srbench/chem_react/CRK0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a3db926017bf29963895096a3183bd655129726f --- /dev/null +++ b/llm-srbench/chem_react/CRK0/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK0 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.974796295166016] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 1.1740511655807495] + ood_range: [1.1720833778381348, 1.1730549335479736] + + target: + name: dA_dt + type: continuous + train_range: [-0.00042313997983, 0.0728384181857109] + ood_range: [9.84279831754975e-05, 0.0006061122985556] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK0/ood_test.csv b/llm-srbench/chem_react/CRK0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..26db1f19e2b28a01b1b84397bd7438924d41ad02 --- /dev/null +++ b/llm-srbench/chem_react/CRK0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:613ccbdc029c99e463d4547ee85adbf892b86ca099346d983d914e18c701a861 +size 30336 diff --git a/llm-srbench/chem_react/CRK0/package.tar.gz b/llm-srbench/chem_react/CRK0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..235a222d0bc6fde22162f384f387ab814aefdb7b --- /dev/null +++ b/llm-srbench/chem_react/CRK0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d227aa9892e171aee646051a529f512dc5180b4feab49e363fba6ec379aaa00 +size 127752 diff --git a/llm-srbench/chem_react/CRK0/train.csv b/llm-srbench/chem_react/CRK0/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3f3bf3e9803b7e435145320c2ba26f22044683d --- /dev/null +++ b/llm-srbench/chem_react/CRK0/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f34e7c9f4ad5b30e9a443b2705457396f04afa9ebb94b49f1ddc10c05fd32899 +size 200626 diff --git a/llm-srbench/chem_react/CRK0/valid.csv b/llm-srbench/chem_react/CRK0/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..f213dafcab3da390158022b7387be0c67cd4851e --- /dev/null +++ b/llm-srbench/chem_react/CRK0/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fc193b8ab208e85d5cb4585fc4f1367a417b605cc49d9d9c3a89b39c6077bc2 +size 28679 diff --git a/llm-srbench/chem_react/CRK1/formula.py b/llm-srbench/chem_react/CRK1/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..5707bc2d05dda8a58fa4f41caa377720ffeca134 --- /dev/null +++ b/llm-srbench/chem_react/CRK1/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.7725880991236428 + alpha_w = 0.7725880991236428 + return -alpha * A**2 - alpha * A + alpha_w * np.cos(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK1/id_test.csv b/llm-srbench/chem_react/CRK1/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4fdf7bd8241302e2f707a9a082e7bb53ec2f4b34 --- /dev/null +++ b/llm-srbench/chem_react/CRK1/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c7d5ade7f399d06d13fb6d174db4123198f32e2141ca5e0c460082e035d5e00 +size 31086 diff --git a/llm-srbench/chem_react/CRK1/metadata.yaml b/llm-srbench/chem_react/CRK1/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..749966ef300612c388a46c2d10c7a663bc03d4d5 --- /dev/null +++ b/llm-srbench/chem_react/CRK1/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK1 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.98679733276367] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.5559830069541931, 1.0] + ood_range: [0.5561222434043884, 0.5567852854728698] + + target: + name: dA_dt + type: continuous + train_range: [-0.9757795929908752, 0.0006721731042489] + ood_range: [-0.0008007150026969, 0.0004166998260188] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK1/ood_test.csv b/llm-srbench/chem_react/CRK1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..872da700c82bd9f4dddd33024dbfcdfc8b5198d7 --- /dev/null +++ b/llm-srbench/chem_react/CRK1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:df3b67e0dfc9dd939a9c3dba1d3236cb56397b62477708e5bf414e487f2d5c39 +size 31131 diff --git a/llm-srbench/chem_react/CRK1/package.tar.gz b/llm-srbench/chem_react/CRK1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..01df7d926d8517f07385bd27a4071d2bab39d77d --- /dev/null +++ b/llm-srbench/chem_react/CRK1/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:49fb90ecf6ba3dbca909e2e51f45d6a75d275c91ecac86ed5f5ab35094efa37b +size 125902 diff --git a/llm-srbench/chem_react/CRK1/train.csv b/llm-srbench/chem_react/CRK1/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc5715099ce3582d06d64797eb31a036d6422180 --- /dev/null +++ b/llm-srbench/chem_react/CRK1/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a9ef77c637c22a916aa409d91ad4d2d04d2fc423a95fd0447ef04c71630a979 +size 199878 diff --git a/llm-srbench/chem_react/CRK1/valid.csv b/llm-srbench/chem_react/CRK1/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c45ac7bf7d2e1292688bf41f3c7240c7239b7d0 --- /dev/null +++ b/llm-srbench/chem_react/CRK1/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20bd75884189c9fab1ff5930d77d8b9219987412c2ad37ae502d91419c78415c +size 28542 diff --git a/llm-srbench/chem_react/CRK10/formula.py b/llm-srbench/chem_react/CRK10/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..23d85a603de9acefa2206bdc98f87b85a4f94428 --- /dev/null +++ b/llm-srbench/chem_react/CRK10/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.17495597007573369 + alpha_t = 0.17495597007573369 + return -alpha * A ** 2 + alpha_t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK10/id_test.csv b/llm-srbench/chem_react/CRK10/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..21b51f5b2ee95b6113ef47b90252349e6857ec31 --- /dev/null +++ b/llm-srbench/chem_react/CRK10/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fdf649e241f4cd7fccabf129f095137c393d6169bf93eef0391123d6c78650f +size 30353 diff --git a/llm-srbench/chem_react/CRK10/metadata.yaml b/llm-srbench/chem_react/CRK10/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6703d13e69b4d39ef655f6aae39b903137fa58fd --- /dev/null +++ b/llm-srbench/chem_react/CRK10/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK10 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 1.6793736219406128] + ood_range: [1.6774699687957764, 1.6781612634658811] + + target: + name: dA_dt + type: continuous + train_range: [-0.0005031007458455, 0.2028772979974746] + ood_range: [6.120235775597394e-05, 0.0003826232568826] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK10/ood_test.csv b/llm-srbench/chem_react/CRK10/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..184aa596a15e57642a3ea0bba3e417d3f5646fc0 --- /dev/null +++ b/llm-srbench/chem_react/CRK10/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9fa8e69ce7f3338515f225409a5cbeb0a13ff3dfa73d977a59d0e82e3f2a54fe +size 30325 diff --git a/llm-srbench/chem_react/CRK10/package.tar.gz b/llm-srbench/chem_react/CRK10/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..abd5ba8295defd52792858a6a06ffbf1dde79b87 --- /dev/null +++ b/llm-srbench/chem_react/CRK10/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ac12fab29198b73c1ac897ffab88b760769048266ef1247adc2e3885f93fbf68 +size 128372 diff --git a/llm-srbench/chem_react/CRK10/train.csv b/llm-srbench/chem_react/CRK10/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..9da70b9493e920acfff0b475d729be3fd8094437 --- /dev/null +++ b/llm-srbench/chem_react/CRK10/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2dfe3b9934f6493991f972cb8a3ef82706c2466fac74ca23346c73730a2ab2b0 +size 199897 diff --git a/llm-srbench/chem_react/CRK10/valid.csv b/llm-srbench/chem_react/CRK10/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..d87bf2d7b547a4fa1baa82e938f2e921a1ada85d --- /dev/null +++ b/llm-srbench/chem_react/CRK10/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9db2f59bd7b4bb829e26ca369b951464c49896481a37f3d3e9cab7b8fd4dac41 +size 28589 diff --git a/llm-srbench/chem_react/CRK11/formula.py b/llm-srbench/chem_react/CRK11/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..5e51a32d97bbdf5eeeb66f4676e54924dcac2d64 --- /dev/null +++ b/llm-srbench/chem_react/CRK11/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.8817392153705143 + alpha_m = 0.8817392153705143 + return -alpha * A ** 2 + alpha_m * np.sin(np.sqrt(A)) diff --git a/llm-srbench/chem_react/CRK11/id_test.csv b/llm-srbench/chem_react/CRK11/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..198695a0886753bc0deea1d65fec66bb6b18a77e --- /dev/null +++ b/llm-srbench/chem_react/CRK11/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:240900ed5949cc387197b2b8b701f325d2c40ecdce4ba7f9730be48cab0fe4b9 +size 31092 diff --git a/llm-srbench/chem_react/CRK11/metadata.yaml b/llm-srbench/chem_react/CRK11/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5679ddb659217360fafc91f5d04c7045c45e0446 --- /dev/null +++ b/llm-srbench/chem_react/CRK11/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK11 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.7114515304565429, 1.0] + ood_range: [0.7119030356407166, 0.712831139564514] + + target: + name: dA_dt + type: continuous + train_range: [-0.3781450390815734, 0.0007274834788404] + ood_range: [-0.0006799889961257, 0.0002672516857273] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK11/ood_test.csv b/llm-srbench/chem_react/CRK11/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..64933dbf7812bbcfdeb9ae7f2a67916820a43f8e --- /dev/null +++ b/llm-srbench/chem_react/CRK11/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:463ff6a40152748218a2be3ab3445f52536ce0cf1e29376cba1bf423f5ea3028 +size 31168 diff --git a/llm-srbench/chem_react/CRK11/package.tar.gz b/llm-srbench/chem_react/CRK11/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f00b5c333114ea4205d05da7ff884fc7b42e524d --- /dev/null +++ b/llm-srbench/chem_react/CRK11/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5fcb42d852a823102bbfec64d844aea546eaae67e63a5202159e49287add4365 +size 128251 diff --git a/llm-srbench/chem_react/CRK11/train.csv b/llm-srbench/chem_react/CRK11/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..a9d84a6186d9530e45da57522e3cb8a48905fc31 --- /dev/null +++ b/llm-srbench/chem_react/CRK11/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:abf681bff91b207a7d5fcc6f5430fecbed7d1f38472c494c1df44b9bcfbd7e6c +size 201387 diff --git a/llm-srbench/chem_react/CRK11/valid.csv b/llm-srbench/chem_react/CRK11/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..6fade900cbfa25882a23caf99a21206fb0860daa --- /dev/null +++ b/llm-srbench/chem_react/CRK11/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:38d14a2d6994466ddbc4d00fd2761769a8f6efe4c16d3d481f93e817ed3634c1 +size 28776 diff --git a/llm-srbench/chem_react/CRK12/formula.py b/llm-srbench/chem_react/CRK12/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..763c8d7b3f46c526121f65aaa16aba04c2be907b --- /dev/null +++ b/llm-srbench/chem_react/CRK12/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.4536905040809732 + alpha_t = 0.4536905040809732 + return -alpha_s * A * np.exp(-alpha_s * t) + alpha_t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK12/id_test.csv b/llm-srbench/chem_react/CRK12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..3a0b45609c5a226c1f16ba3d1bb168c1996313fe --- /dev/null +++ b/llm-srbench/chem_react/CRK12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ac1b06e7f13cdc36a32d69bc74a8d9495729523a4c6f750fefb9ca4b12f734dc +size 28863 diff --git a/llm-srbench/chem_react/CRK12/metadata.yaml b/llm-srbench/chem_react/CRK12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b865e3733c90c7f1954acffaadcdd203176ede69 --- /dev/null +++ b/llm-srbench/chem_react/CRK12/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK12 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.98679733276367] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 14.667879104614258] + ood_range: [14.673096656799316, 15.88755702972412] + + target: + name: dA_dt + type: continuous + train_range: [0.0277724154293537, 0.3061476051807403] + ood_range: [0.1885144561529159, 0.2173208445310592] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK12/ood_test.csv b/llm-srbench/chem_react/CRK12/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8121e5ecb444a083f2923c4280072e7d39856fa6 --- /dev/null +++ b/llm-srbench/chem_react/CRK12/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2b0c2e44a3c8b0179ca03632b4cc6abac0461f107f15584441473a688b0d55e +size 28821 diff --git a/llm-srbench/chem_react/CRK12/package.tar.gz b/llm-srbench/chem_react/CRK12/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ef57970908f479fbeaabcc7ed817111b4ab89337 --- /dev/null +++ b/llm-srbench/chem_react/CRK12/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67458dc080a168b9528c6a6a438f6f54a099accdabd54d9c87e7a6655e62f364 +size 130124 diff --git a/llm-srbench/chem_react/CRK12/train.csv b/llm-srbench/chem_react/CRK12/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..dc5666ca2aff156f58f33927d5115c7eaedf0791 --- /dev/null +++ b/llm-srbench/chem_react/CRK12/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11cae673324fbd81a1d98f540d7c05cf5d658d4d5af242b9aa45ea53ac039fd7 +size 194650 diff --git a/llm-srbench/chem_react/CRK12/valid.csv b/llm-srbench/chem_react/CRK12/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..cbc18414fdbec5f1afcd5f42454f192906add5dd --- /dev/null +++ b/llm-srbench/chem_react/CRK12/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a91cdd853d5f21f18a877ac4fed290a4c78dda8014b6f24c6b7e2e4e8961930c +size 27859 diff --git a/llm-srbench/chem_react/CRK13/formula.py b/llm-srbench/chem_react/CRK13/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..66c3eff1d5c83e886fcd1ed1277a9ab4ca6b2edc --- /dev/null +++ b/llm-srbench/chem_react/CRK13/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.23236613283613416 + alpha_p = 0.23236613283613416 + beta = 0.5265654762365851 + return -alpha * A + alpha_p * np.sin(beta * A) diff --git a/llm-srbench/chem_react/CRK13/id_test.csv b/llm-srbench/chem_react/CRK13/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..02588f70b9f39705a0e6b888f8090d93a2132b29 --- /dev/null +++ b/llm-srbench/chem_react/CRK13/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:809168c6ae234e0fb5128384ce0ba73cec0c463e592717aa177c11b473a5537e +size 30532 diff --git a/llm-srbench/chem_react/CRK13/metadata.yaml b/llm-srbench/chem_react/CRK13/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1d47414bb2be7fadd6b2ac61b2a1b2eb573a67ce --- /dev/null +++ b/llm-srbench/chem_react/CRK13/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK13 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.2353037297725677, 0.9995990991592408] + ood_range: [0.2032853662967681, 0.2352347075939178] + + target: + name: dA_dt + type: continuous + train_range: [-0.0333907790482044, -0.0057518151588737] + ood_range: [-0.0057500544935464, -0.004941688850522] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK13/ood_test.csv b/llm-srbench/chem_react/CRK13/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd3c4c6a5d6406adb832714ee1de0922f28b1f99 --- /dev/null +++ b/llm-srbench/chem_react/CRK13/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:47e73e80f5562f5b104103b91d13bbc8e7fd3412dc3fd7d2a107dce9057bb718 +size 30821 diff --git a/llm-srbench/chem_react/CRK13/package.tar.gz b/llm-srbench/chem_react/CRK13/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..11049fec0698303c95e7985f72c60e49379085b6 --- /dev/null +++ b/llm-srbench/chem_react/CRK13/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c361db71b6c320d283982798b599876831a19b064d7c1a2336b233eafc07b9d6 +size 131906 diff --git a/llm-srbench/chem_react/CRK13/train.csv b/llm-srbench/chem_react/CRK13/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc598caadfa164580817e34f9ad3d904ae6ca64e --- /dev/null +++ b/llm-srbench/chem_react/CRK13/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91f0d6718a2b8240e5bfd7680ae624bfb25a1caf5d604b8bfe12b4e0cbf65287 +size 199794 diff --git a/llm-srbench/chem_react/CRK13/valid.csv b/llm-srbench/chem_react/CRK13/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..feb07cddca9c34aaaea3832377b65540b0c0cdd2 --- /dev/null +++ b/llm-srbench/chem_react/CRK13/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:121bb00e9deaf0240c8a6a9186698a543998fd2b96d47ab056417848168ed200 +size 28555 diff --git a/llm-srbench/chem_react/CRK14/formula.py b/llm-srbench/chem_react/CRK14/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..9a403cdbd02ca2e6d90196668d993bb320dda752 --- /dev/null +++ b/llm-srbench/chem_react/CRK14/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.1286242133366486 + alpha_p = 0.1286242133366486 + beta = 0.5829315813885992 + return -alpha_s * np.sqrt(A) - alpha_s * A * np.exp(-alpha_s * t) + alpha_p * np.sin(beta * A) diff --git a/llm-srbench/chem_react/CRK14/id_test.csv b/llm-srbench/chem_react/CRK14/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..52350a769d45ad4bc2c913460e09857edde6fb4f --- /dev/null +++ b/llm-srbench/chem_react/CRK14/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7386a7807ce6b93442ea42b3faf5dfcc72536059c69aa00596e51855a62cc6f +size 29481 diff --git a/llm-srbench/chem_react/CRK14/metadata.yaml b/llm-srbench/chem_react/CRK14/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c451a03a01bf28fdbf2aa8848cf9f1e5e7ff5e31 --- /dev/null +++ b/llm-srbench/chem_react/CRK14/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK14 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.839772880077362, 3.93625283241272] + ood_range: [3.93644905090332, 4.007401466369629] + + target: + name: dA_dt + type: continuous + train_range: [-0.0428804717957973, 0.1384567618370056] + ood_range: [0.0087577141821384, 0.0160885863006114] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK14/ood_test.csv b/llm-srbench/chem_react/CRK14/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..814022c0da95993b531c5775722ec3acea228535 --- /dev/null +++ b/llm-srbench/chem_react/CRK14/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7162818e6bb8d2896c62adcd4bc30b9fd61001c632d03c90be5867e61d6c3c97 +size 29441 diff --git a/llm-srbench/chem_react/CRK14/package.tar.gz b/llm-srbench/chem_react/CRK14/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f66eb953c40b25829703fe33b6f28d64e8966680 --- /dev/null +++ b/llm-srbench/chem_react/CRK14/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8f631ca87a5114752be86d4d3ae54d639aa81d6deed5f22ddfa73af9c37e0c9b +size 131981 diff --git a/llm-srbench/chem_react/CRK14/train.csv b/llm-srbench/chem_react/CRK14/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..2a917d23fee92aeff85fe4377657814b8d56b68c --- /dev/null +++ b/llm-srbench/chem_react/CRK14/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7ad326635e72f88c6502d5ed8acacc543258d309193f99c17b67a56bbefa554e +size 196006 diff --git a/llm-srbench/chem_react/CRK14/valid.csv b/llm-srbench/chem_react/CRK14/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..ac5e41278e1c3980310c8abfce6bb61f5584dd70 --- /dev/null +++ b/llm-srbench/chem_react/CRK14/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:167c02a481d81d563e1f0049f7fca71a31e0a9c671e76a6598bef418b879e499 +size 28005 diff --git a/llm-srbench/chem_react/CRK15/formula.py b/llm-srbench/chem_react/CRK15/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..0e08a205263e5c479601b93a8c053a6bade5ed17 --- /dev/null +++ b/llm-srbench/chem_react/CRK15/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.12072034430887377 + alpha_s = 0.12072034430887377 + alpha_t = 0.12072034430887377 + return -alpha * np.sqrt(A) - alpha * A * np.exp(-alpha_s * t) + alpha_t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK15/id_test.csv b/llm-srbench/chem_react/CRK15/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..85d23e62cbca906509368d3d54b10f0b6b48ac87 --- /dev/null +++ b/llm-srbench/chem_react/CRK15/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c7dd85cd05c62a2c73201bb0e11f2a3e2739e0d1c306df2c8d2434a4f573e2d0 +size 28922 diff --git a/llm-srbench/chem_react/CRK15/metadata.yaml b/llm-srbench/chem_react/CRK15/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ebb61907950b4e49450c08d04a69936c48db69bc --- /dev/null +++ b/llm-srbench/chem_react/CRK15/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK15 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 11.308931350708008] + ood_range: [11.309693336486816, 11.64914321899414] + + target: + name: dA_dt + type: continuous + train_range: [0.0643181651830673, 0.3932652473449707] + ood_range: [0.0499426387250423, 0.0642871782183647] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK15/ood_test.csv b/llm-srbench/chem_react/CRK15/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..59e193f2f0113e4bf8d1e39140055d2e7e3e2dee --- /dev/null +++ b/llm-srbench/chem_react/CRK15/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e956e11abbcafd5fdeaf059f500a46fad571acba2ab2e7d58af85fe47147666f +size 29321 diff --git a/llm-srbench/chem_react/CRK15/package.tar.gz b/llm-srbench/chem_react/CRK15/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..2186e5ee81edadf7e051b32f9eda41cbc3741236 --- /dev/null +++ b/llm-srbench/chem_react/CRK15/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9acdd1269adbdaea55d9f9ba7d88f23853e85276e8d473ede41f521563d191fa +size 130174 diff --git a/llm-srbench/chem_react/CRK15/train.csv b/llm-srbench/chem_react/CRK15/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..7979c657bacef8ce2d25f228e4ec884efa045dfc --- /dev/null +++ b/llm-srbench/chem_react/CRK15/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e7fb0ac4c433dfd8901bd95fddd8aa9978092f491913d1a9d8c30468a4472c41 +size 194074 diff --git a/llm-srbench/chem_react/CRK15/valid.csv b/llm-srbench/chem_react/CRK15/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..e87cc1bfa126f44d54fdceebc0a70a153a5d29c3 --- /dev/null +++ b/llm-srbench/chem_react/CRK15/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a78ee2b53700afc8fe47cbf1e40ff40030d70ac0cbd58b012d924b47c9622e43 +size 27736 diff --git a/llm-srbench/chem_react/CRK16/formula.py b/llm-srbench/chem_react/CRK16/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..665ec84eb51004036b86d9a55b2bca5c02b21fac --- /dev/null +++ b/llm-srbench/chem_react/CRK16/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.24581249010242617 + beta = 0.24581249010242617 + gamma = 0.333333333333333 + return -alpha * A + beta * A ** gamma diff --git a/llm-srbench/chem_react/CRK16/id_test.csv b/llm-srbench/chem_react/CRK16/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..15475f08c10fbbc31f39e999e66658b8142d9da4 --- /dev/null +++ b/llm-srbench/chem_react/CRK16/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25c09e73085be5daea3d191f32cdb8c7da696887fdea0a596820723aaf3bfa45 +size 29466 diff --git a/llm-srbench/chem_react/CRK16/metadata.yaml b/llm-srbench/chem_react/CRK16/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..001da0e1ad5b311bacd9e029166ce7c5d0811c80 --- /dev/null +++ b/llm-srbench/chem_react/CRK16/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK16 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 7.848517417907715] + ood_range: [7.848262310028077, 7.8490538597106925] + + target: + name: dA_dt + type: continuous + train_range: [0.0002605495392344, 0.7427240014076232] + ood_range: [0.0001726018235785, 0.0003023097233381] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK16/ood_test.csv b/llm-srbench/chem_react/CRK16/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fdcba20e64bcca908eed2f790481ae932e1f9f31 --- /dev/null +++ b/llm-srbench/chem_react/CRK16/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0dfd1c2115170d6cde12ba8333bc121df32ec8da3c68ac8d47a14f61cdafc4fb +size 30312 diff --git a/llm-srbench/chem_react/CRK16/package.tar.gz b/llm-srbench/chem_react/CRK16/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e6313a4c697230ad867491e67f1cd7e0684e9063 --- /dev/null +++ b/llm-srbench/chem_react/CRK16/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c47ada41d71d3ade811633a2ab778c5cc77ca24f6e91d3922b7a77d58a5cc08 +size 127439 diff --git a/llm-srbench/chem_react/CRK16/train.csv b/llm-srbench/chem_react/CRK16/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5f9f16e4ca5e2e2674bbaca00405f051308e3bee --- /dev/null +++ b/llm-srbench/chem_react/CRK16/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e707cbfa3e6dc3aacdaab585f3531a246537d2354e9eb74cb6daf7d849ae0615 +size 193439 diff --git a/llm-srbench/chem_react/CRK16/valid.csv b/llm-srbench/chem_react/CRK16/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..52a24febe379b7b187de1f01a16ca5cd5eb2d738 --- /dev/null +++ b/llm-srbench/chem_react/CRK16/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:14f8a450f48c844d4a4a3fa570a4c89750d108324f434d46e7893b9132fb2636 +size 27662 diff --git a/llm-srbench/chem_react/CRK17/formula.py b/llm-srbench/chem_react/CRK17/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..c0b89698cc532fee789a391b66382c194d1ad62a --- /dev/null +++ b/llm-srbench/chem_react/CRK17/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.6750544468008356 + alpha_f = 0.6750544468008356 + beta = 0.3333333333333333 + return -alpha_s * A * np.exp(-alpha_s * t) + alpha_f * A ** beta diff --git a/llm-srbench/chem_react/CRK17/id_test.csv b/llm-srbench/chem_react/CRK17/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8694ce42c57502fee21b0ad0317625191d21871b --- /dev/null +++ b/llm-srbench/chem_react/CRK17/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a0fbaf2e7c0be245fb61b1c5d45157131a77f60995f3c66bbc5194c169a6f9c +size 29324 diff --git a/llm-srbench/chem_react/CRK17/metadata.yaml b/llm-srbench/chem_react/CRK17/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c49ef7fe3f1c91accbcdbe24652585f260ccbfb9 --- /dev/null +++ b/llm-srbench/chem_react/CRK17/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK17 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.3384045362472534, 7.50459337234497] + ood_range: [7.508606910705566, 9.663073539733887] + + target: + name: dA_dt + type: continuous + train_range: [-0.4625775218009948, 0.3343405723571777] + ood_range: [0.3344432413578033, 0.3846327364444732] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK17/ood_test.csv b/llm-srbench/chem_react/CRK17/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0b3087a4e99fc2160687282c476361a289443c38 --- /dev/null +++ b/llm-srbench/chem_react/CRK17/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c0cbcf20497e6dc22494b42a74f94f079f28b14b4ede3622604cd4cb0ba0e73 +size 28811 diff --git a/llm-srbench/chem_react/CRK17/package.tar.gz b/llm-srbench/chem_react/CRK17/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..95c11f118bea6a541a464c6862dd31d02aebf4e3 --- /dev/null +++ b/llm-srbench/chem_react/CRK17/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1ad708b9741532d8986435f3231a8d11ecb5b0b67f97a69f4225bd72fb3004ad +size 132709 diff --git a/llm-srbench/chem_react/CRK17/train.csv b/llm-srbench/chem_react/CRK17/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..ed2e3ce76d9b880f83f704f4237faf07b270f0e0 --- /dev/null +++ b/llm-srbench/chem_react/CRK17/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5e0ac977e898cbc6e1cb77978b9da0d27cfa5cf615127e528c571080cb20a851 +size 195605 diff --git a/llm-srbench/chem_react/CRK17/valid.csv b/llm-srbench/chem_react/CRK17/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..1521f4b602e03ce2aa9c6f41e9929c6e9b9d7fa5 --- /dev/null +++ b/llm-srbench/chem_react/CRK17/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:02259af839abce0b87e3e52fc37cce3013a972f1d053f04f894a05bc85822933 +size 27877 diff --git a/llm-srbench/chem_react/CRK18/formula.py b/llm-srbench/chem_react/CRK18/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..100baab93ff1c63e51c9df7330eae064c7fbb7e2 --- /dev/null +++ b/llm-srbench/chem_react/CRK18/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.5637231318832533 + alpha_p = 0.5637231318832533 + beta = 0.7616913890711074 + return -alpha * A**2 + alpha_p * np.sin(beta * A) diff --git a/llm-srbench/chem_react/CRK18/id_test.csv b/llm-srbench/chem_react/CRK18/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ffa936b47ca0ddbf43156e7249608edf2e787045 --- /dev/null +++ b/llm-srbench/chem_react/CRK18/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a52e8221a21e3d7608b7f72fb5464ceb6b7673bc9b5e90d219513fc7182bb026 +size 30948 diff --git a/llm-srbench/chem_react/CRK18/metadata.yaml b/llm-srbench/chem_react/CRK18/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..497b7521342a2904527d93ff67808e9b32f028d9 --- /dev/null +++ b/llm-srbench/chem_react/CRK18/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK18 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.1776600927114486, 1.0] + ood_range: [0.1773514151573181, 0.1776592582464218] + + target: + name: dA_dt + type: continuous + train_range: [-0.4730526208877563, -6.862189911771566e-05] + ood_range: [-6.853854574728757e-05, -3.745459980564192e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK18/ood_test.csv b/llm-srbench/chem_react/CRK18/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..6139fa5378a77b77c350d541c22c31ed9e9406a8 --- /dev/null +++ b/llm-srbench/chem_react/CRK18/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd815f4953c6a612201f3f439ed255f4b5b2539b48c123b907dc733e4112b4d6 +size 31333 diff --git a/llm-srbench/chem_react/CRK18/package.tar.gz b/llm-srbench/chem_react/CRK18/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b89be84f5f25d08693dc60bacebb9bf186a58ab5 --- /dev/null +++ b/llm-srbench/chem_react/CRK18/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:874af828602189a94b36f20819ab39d331a50d1a4d0187152d1070460695a84a +size 131325 diff --git a/llm-srbench/chem_react/CRK18/train.csv b/llm-srbench/chem_react/CRK18/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..9ae9a1e23e06e8c0020a350b837b4ee2b347dbf0 --- /dev/null +++ b/llm-srbench/chem_react/CRK18/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8bc58bbfa47dae8ed6dc5422b8c397d72c90ae0ef5e1a915d8440eca89e0d93d +size 200663 diff --git a/llm-srbench/chem_react/CRK18/valid.csv b/llm-srbench/chem_react/CRK18/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..65e49a96083d71b2839e3d81eb04696af64b656f --- /dev/null +++ b/llm-srbench/chem_react/CRK18/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e7d63e0c3fd12098f8de1538683be70178e781ffb177781fd8b63d583b480fac +size 28649 diff --git a/llm-srbench/chem_react/CRK19/formula.py b/llm-srbench/chem_react/CRK19/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..e61e4d54892ea2c7d2bc860314c3eafd5f07bf1d --- /dev/null +++ b/llm-srbench/chem_react/CRK19/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.16497856808125827 + alpha_t = 0.16497856808125827 + return -alpha_s * A**2 - alpha_s * A * np.exp(-alpha_s * t) + alpha_t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK19/id_test.csv b/llm-srbench/chem_react/CRK19/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8ad333a148d95e90da38cfe19d4f005f8028d463 --- /dev/null +++ b/llm-srbench/chem_react/CRK19/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fd2097ecf55949524a0b85b5b05ae8d9db18d0c99f62f937590f7f18162607dc +size 29769 diff --git a/llm-srbench/chem_react/CRK19/metadata.yaml b/llm-srbench/chem_react/CRK19/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f4d8b3dd65a1083a943eafceb3f4e6a2d129f9c8 --- /dev/null +++ b/llm-srbench/chem_react/CRK19/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK19 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 1.4843815565109253] + ood_range: [1.4844318628311155, 1.5055596828460691] + + target: + name: dA_dt + type: continuous + train_range: [0.0036674332804977, 0.0667150542140007] + ood_range: [0.0035328394733369, 0.0040079816244542] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK19/ood_test.csv b/llm-srbench/chem_react/CRK19/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5bc6548cff924b38dae245f6b8e4c1427ed6b20f --- /dev/null +++ b/llm-srbench/chem_react/CRK19/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f8a610429aac0193c6e7a9052ef7a99046f15fc9db8fb460a3c52466125399d1 +size 29815 diff --git a/llm-srbench/chem_react/CRK19/package.tar.gz 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+++ b/llm-srbench/chem_react/CRK19/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f582536277f33e7284ca6fcf7f1ef49695e415a6c89cb35ff3498cd8c6f76d6d +size 28000 diff --git a/llm-srbench/chem_react/CRK2/formula.py b/llm-srbench/chem_react/CRK2/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..1afa745daf858239644b9a04add22d7f6cd8cb2e --- /dev/null +++ b/llm-srbench/chem_react/CRK2/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.19494483384724354 + alpha_w = 0.19494483384724354 + return -alpha * A + alpha_w * np.cos(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK2/id_test.csv b/llm-srbench/chem_react/CRK2/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d10a1169414452ce25562063182b2c6c986b3425 --- /dev/null +++ b/llm-srbench/chem_react/CRK2/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d41bff2265e0c330bff766e93f6a049469402512d6a03c0dddc846f819ca283c +size 31132 diff --git a/llm-srbench/chem_react/CRK2/metadata.yaml b/llm-srbench/chem_react/CRK2/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d356b0f2140f6c37eee724b9bbf4dc594025ccdb --- /dev/null +++ b/llm-srbench/chem_react/CRK2/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK2 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.984717071056366, 1.0] + ood_range: [0.9853581190109252, 0.9858881831169128] + + target: + name: dA_dt + type: continuous + train_range: [-0.0040272250771522, 0.0001629378675715] + ood_range: [-0.0001580805983394, -1.27803796203807e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK2/ood_test.csv b/llm-srbench/chem_react/CRK2/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..518b00bbc40934c4ec17c12282e2e1d6f8dfd8cb --- /dev/null +++ b/llm-srbench/chem_react/CRK2/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8a15fe4d2b6bef7f901dcfc175207328503113301b93e4a73454abd6b7c3d17 +size 31318 diff --git a/llm-srbench/chem_react/CRK2/package.tar.gz b/llm-srbench/chem_react/CRK2/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..67bdefb2a745c45d8effbdef20da7f5cbaa3785e --- /dev/null +++ b/llm-srbench/chem_react/CRK2/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20b14878f8ce6d514b04c0c2b388a8c198842b5f2fdcd9403972578506fee9d7 +size 130208 diff --git a/llm-srbench/chem_react/CRK2/train.csv b/llm-srbench/chem_react/CRK2/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5c363418498078fc9528baf2f2952849a5b920bf --- /dev/null +++ b/llm-srbench/chem_react/CRK2/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e0ec5bbf9612a961fe52a656c06b14ea0f94148a02ecaf0cb6bc70a8dd29b115 +size 204697 diff --git a/llm-srbench/chem_react/CRK2/valid.csv b/llm-srbench/chem_react/CRK2/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..240de7d4081d513fd57a60dcae7512c866f8549f --- /dev/null +++ b/llm-srbench/chem_react/CRK2/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3488369a773828d5b729be8ccb396ec1819dc86596f1c94ab4cb8ec370845751 +size 29246 diff --git a/llm-srbench/chem_react/CRK20/formula.py b/llm-srbench/chem_react/CRK20/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..fc205e01305d09d40fe8cbd80fe769c886c8393d --- /dev/null +++ b/llm-srbench/chem_react/CRK20/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.3122128845632889 + alpha_p = 0.3122128845632889 + beta = 0.8721876285304352 + return -alpha_s * A * np.exp(-alpha_s * t) + alpha_p * np.sin(beta * A) diff --git a/llm-srbench/chem_react/CRK20/id_test.csv b/llm-srbench/chem_react/CRK20/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..022ddedab405ec0c3bd93f6d43479e6dbfd6ab47 --- /dev/null +++ b/llm-srbench/chem_react/CRK20/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8c780ed69d4056be8d52a7537a5fdf1a60e22d87ba2390bae7a6032ecb22576 +size 29365 diff --git a/llm-srbench/chem_react/CRK20/metadata.yaml b/llm-srbench/chem_react/CRK20/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3238346a322caf1245d65c38317052c983707265 --- /dev/null +++ b/llm-srbench/chem_react/CRK20/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK20 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0005898475646973, 3.558248996734619] + ood_range: [3.558291435241699, 3.5733721256256104] + + target: + name: dA_dt + type: continuous + train_range: [0.0030786031857132, 0.1513093560934066] + ood_range: [0.0024943314492702, 0.0034187610726803] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK20/ood_test.csv b/llm-srbench/chem_react/CRK20/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c7db069f0d2c60ab7c9f3792ebae01b9d971b502 --- /dev/null +++ b/llm-srbench/chem_react/CRK20/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce4a4ec5659ba72c7eb0e6405e2efd755ce0d84be568d6d06dd83f543b59183c +size 29820 diff --git a/llm-srbench/chem_react/CRK20/package.tar.gz b/llm-srbench/chem_react/CRK20/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4b5db1128054f1db350a78bba40c4cf27e098bbc --- /dev/null +++ b/llm-srbench/chem_react/CRK20/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f52d2db1056159fd6d87f46c4fa55026183a45cb29fec9e3e46f0332db8262df +size 130193 diff --git a/llm-srbench/chem_react/CRK20/train.csv b/llm-srbench/chem_react/CRK20/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..e7ad4f47ebc713862396215a7f8178a7b511e2bc --- /dev/null +++ b/llm-srbench/chem_react/CRK20/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2da8aad2d3eba2b9a57084c0935898c8711755cb423ba54244c2701fdf497350 +size 194962 diff --git a/llm-srbench/chem_react/CRK20/valid.csv b/llm-srbench/chem_react/CRK20/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..1cfa88da9207461aacf03e75e028e653987a7832 --- /dev/null +++ b/llm-srbench/chem_react/CRK20/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0a0ec11a6dfe20fbdb321fc682fbdca5d83a66c37c24773c9e9d2a63a282b1d +size 27879 diff --git a/llm-srbench/chem_react/CRK21/formula.py b/llm-srbench/chem_react/CRK21/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..a6135ce82fb9a3a92c1a8a5ead135f97e3df387e --- /dev/null +++ b/llm-srbench/chem_react/CRK21/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.9112380846295999 + alpha_q = 0.9112380846295999 + beta = 0.4381050266935539 + return -alpha_s * A * np.exp(-alpha_s * t) + alpha_q * A * np.log(beta * t + 1) diff --git a/llm-srbench/chem_react/CRK21/id_test.csv b/llm-srbench/chem_react/CRK21/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0660a425ac970fb6db7aa50e47126906ab118713 --- /dev/null +++ b/llm-srbench/chem_react/CRK21/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a07ce92cc2978169e6f41dfcbf99730dced35231f3403411fcf14968406e501 +size 30899 diff --git a/llm-srbench/chem_react/CRK21/metadata.yaml b/llm-srbench/chem_react/CRK21/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c7e5df07c5fee32a71d94d91e213ea193654d342 --- /dev/null +++ b/llm-srbench/chem_react/CRK21/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK21 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.0028629819862544, 2.7012448310852046] + ood_range: [2.710211515426636, 14.634843826293944] + + target: + name: dA_dt + type: continuous + train_range: [-0.9112380743026732, 0.7434884309768676] + ood_range: [0.7460289597511292, 4.203992366790772] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK21/ood_test.csv b/llm-srbench/chem_react/CRK21/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..219f15f64b2fe2d07802a4c734a2454f0ae255a9 --- /dev/null +++ b/llm-srbench/chem_react/CRK21/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a07feca6ef87018f6fbee4814b19ff9f6f59ef87918529a1a1177294b8af1ff8 +size 28378 diff --git a/llm-srbench/chem_react/CRK21/package.tar.gz b/llm-srbench/chem_react/CRK21/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f917372d6f11928fec250979595f0dc3b6521592 --- /dev/null +++ b/llm-srbench/chem_react/CRK21/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73d6ed4dd1b3c4965ef4a2f325db8893ea27eb84fb96f3dfaa99940a3e3ac914 +size 132631 diff --git a/llm-srbench/chem_react/CRK21/train.csv b/llm-srbench/chem_react/CRK21/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..71eaeef8531add4337c45f82a2b3eb6e0e940593 --- /dev/null +++ b/llm-srbench/chem_react/CRK21/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:04024263643d2c2defd8425ad204179cac0087f71794fa7da66f8d76425cae90 +size 198137 diff --git a/llm-srbench/chem_react/CRK21/valid.csv b/llm-srbench/chem_react/CRK21/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..e76b0699c7e36350b2eb916424a64d2f15381aa4 --- /dev/null +++ b/llm-srbench/chem_react/CRK21/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:470e999d7a9bd001ff4da163edda17e13c2099f5b446b795a375b1a3fe99c824 +size 28309 diff --git a/llm-srbench/chem_react/CRK22/formula.py b/llm-srbench/chem_react/CRK22/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..eb134ff787f264d877ec353da34bd26d4b2cae0c --- /dev/null +++ b/llm-srbench/chem_react/CRK22/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.2092477763434658 + alpha_z = 0.2092477763434658 + beta = 0.9716398998349454 + return -alpha_s * A**2 - alpha_s * A * np.exp(-alpha_s * t) + alpha_z * A**2 / (beta * A**4 + 1) diff --git a/llm-srbench/chem_react/CRK22/id_test.csv b/llm-srbench/chem_react/CRK22/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..6bd165df5946ffefcb3c1836c3cd86eb87a684ef --- /dev/null +++ b/llm-srbench/chem_react/CRK22/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87e758980027bdb4a596f2487426c6821d75c0f001e2685bd03b86afeb996a65 +size 31238 diff --git a/llm-srbench/chem_react/CRK22/metadata.yaml b/llm-srbench/chem_react/CRK22/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1a678b46ff64f3f47049f20a69f093756697775e --- /dev/null +++ b/llm-srbench/chem_react/CRK22/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK22 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.0416726730763912, 1.0] + ood_range: [0.0404796712100505, 0.0416697338223457] + + target: + name: dA_dt + type: continuous + train_range: [-0.3093041181564331, -0.0002453362685628] + ood_range: [-0.0002451191539876, -0.0001579863019287] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK22/ood_test.csv b/llm-srbench/chem_react/CRK22/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..765fc1296a8cf13b29a9669bc1e8d4f023350bbf --- /dev/null +++ b/llm-srbench/chem_react/CRK22/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:716c8bf1c114361f891cd316491a830d8c4a2c06a07ca8c86a51cfbc0bcb1446 +size 31822 diff --git a/llm-srbench/chem_react/CRK22/package.tar.gz b/llm-srbench/chem_react/CRK22/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9252947811d0f621088ec0c4d2a3ef71f346ebab --- /dev/null +++ b/llm-srbench/chem_react/CRK22/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4998fa47f63443f70cd5e1257a18f2b6f7a42bcd464a229c77ef228427ab0d1 +size 131684 diff --git a/llm-srbench/chem_react/CRK22/train.csv b/llm-srbench/chem_react/CRK22/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..a660e5217a48a097b7adffa0af5c2384e9ac08d6 --- /dev/null +++ b/llm-srbench/chem_react/CRK22/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:52c8b04d6f7069e93eabdf60003b6e11d897c037412ba4102dbf2a0541c39fae +size 199928 diff --git a/llm-srbench/chem_react/CRK22/valid.csv b/llm-srbench/chem_react/CRK22/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..3787d0c177d541b2daa6272420d00b45aadfaa5a --- /dev/null +++ b/llm-srbench/chem_react/CRK22/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:95c1857fcb62028a131dd2cc9faeff79212e247d55475bb83e3445de7f62fc43 +size 28580 diff --git a/llm-srbench/chem_react/CRK23/formula.py b/llm-srbench/chem_react/CRK23/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..49a6d4daa9c1ff74a5e6cc419e6807100acf10df --- /dev/null +++ b/llm-srbench/chem_react/CRK23/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.10016955960092372 + beta_p = 0.10016955960092372 + gamma = 0.8555148185506902 + return -alpha * np.sqrt(A) + beta_p * np.sin(gamma * A) diff --git a/llm-srbench/chem_react/CRK23/id_test.csv b/llm-srbench/chem_react/CRK23/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e2ca8845974086ba45104b24638f4d04a717bdf3 --- /dev/null +++ b/llm-srbench/chem_react/CRK23/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c4d33b00efb29d00de01fc64a057aff20dd54da456b0bfaf789c49197a2180c0 +size 30069 diff --git a/llm-srbench/chem_react/CRK23/metadata.yaml b/llm-srbench/chem_react/CRK23/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c4568ea0dbc73952129500c0964ffa8eb16dc3a3 --- /dev/null +++ b/llm-srbench/chem_react/CRK23/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK23 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0360072031617164, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0092446804046633, 3.216872215270996] + ood_range: [3.2136242389678955, 3.2150559425354004] + + target: + name: dA_dt + type: continuous + train_range: [-0.0006207240512594, 0.3377955257892608] + ood_range: [0.0001075200052582, 0.0006813055952079] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK23/ood_test.csv b/llm-srbench/chem_react/CRK23/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9f3d6f186d8bb4d21166d99c892cc10cc83cbdad --- /dev/null +++ b/llm-srbench/chem_react/CRK23/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4311d2079d1e89d215ee1b352649d03b2c769a5d16bf4fb8f77b4cf441eb3b54 +size 30335 diff --git a/llm-srbench/chem_react/CRK23/package.tar.gz b/llm-srbench/chem_react/CRK23/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..691f7ae82c73f30fc9bfae0b4c64320f0e7f8727 --- /dev/null +++ b/llm-srbench/chem_react/CRK23/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85b72040d93af95a12f8835fd9267c3672dcade33498ca4a29acdab905654a9e +size 127250 diff --git a/llm-srbench/chem_react/CRK23/train.csv b/llm-srbench/chem_react/CRK23/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ad7d5cf916a4a282d3f146dd6dd7d896ba8295c --- /dev/null +++ b/llm-srbench/chem_react/CRK23/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6aea467b1ba6a037f54dd3e226efc7e61198a6db5dfe0f4c39f3a6b1a2e1032d +size 197166 diff --git a/llm-srbench/chem_react/CRK23/valid.csv b/llm-srbench/chem_react/CRK23/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..7b7d1d7760ac5759f5c46804733f9ee018c0d1e9 --- /dev/null +++ b/llm-srbench/chem_react/CRK23/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32b415fc42d97523e9a8e1e57fa4dfbf8eebb600d20a16585ffafa908f7013bd +size 28094 diff --git a/llm-srbench/chem_react/CRK24/formula.py b/llm-srbench/chem_react/CRK24/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..a34084c7faa757ddd8bf632560d3ed88edc7cbc0 --- /dev/null +++ b/llm-srbench/chem_react/CRK24/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.20132235137074334 + alpha_f = 0.20132235137074334 + beta = 0.333333333333333 + return -alpha * np.sqrt(A) - alpha * A ** 2 + alpha_f * A ** beta diff --git a/llm-srbench/chem_react/CRK24/id_test.csv b/llm-srbench/chem_react/CRK24/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..2f99394999d283e861d183409b6320cb3b61d929 --- /dev/null +++ b/llm-srbench/chem_react/CRK24/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:223239981c7403b11f74a2cc6dfde099f6a3c6e63cb82bb8027c8d1986da91f3 +size 30314 diff --git a/llm-srbench/chem_react/CRK24/metadata.yaml b/llm-srbench/chem_react/CRK24/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0eee9077cfefbd0b661082812a7fa36b403c6a96 --- /dev/null +++ b/llm-srbench/chem_react/CRK24/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK24 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 1.5496561527252195] + ood_range: [1.5472813844680786, 1.5485609769821167] + + target: + name: dA_dt + type: continuous + train_range: [-0.0005248265224508, 0.2312547117471694] + ood_range: [7.400672620860861e-05, 0.0007730359211564] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK24/ood_test.csv b/llm-srbench/chem_react/CRK24/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..25d8ca945f1a95d40810fbb0c2ac94ea85264bce --- /dev/null +++ b/llm-srbench/chem_react/CRK24/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9c5beddba2969feeda5cb6235d2c974225445641f21497741f16f722ba9d8f2e +size 30315 diff --git a/llm-srbench/chem_react/CRK24/package.tar.gz b/llm-srbench/chem_react/CRK24/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5825d39bb36b5e164a7859b71853aa2603be30f3 --- /dev/null +++ b/llm-srbench/chem_react/CRK24/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f558b310fec5c22ad09228fbfae6922d07291a136340c579daf4b7fd85d5cc6a +size 127435 diff --git a/llm-srbench/chem_react/CRK24/train.csv b/llm-srbench/chem_react/CRK24/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..a6a5ca1d32fec83981a381ad030dfd3a82df18eb --- /dev/null +++ b/llm-srbench/chem_react/CRK24/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6ca18ad32d442a1bcdf811785db7817f7656a3be8e00df73cdcdb0e68b94666 +size 199099 diff --git a/llm-srbench/chem_react/CRK24/valid.csv b/llm-srbench/chem_react/CRK24/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd69e7fa13ecedb659174d59495e96bead2bde38 --- /dev/null +++ b/llm-srbench/chem_react/CRK24/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e68bad8798ef7f6e4ce5426bdb358b80cff129eab5b9924eecd79cba981fa46d +size 28463 diff --git a/llm-srbench/chem_react/CRK25/formula.py b/llm-srbench/chem_react/CRK25/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..acc6bb52c577ccd98fcae5a173d2beeda5180e32 --- /dev/null +++ b/llm-srbench/chem_react/CRK25/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.15727681835797813 + alpha_t = 0.15727681835797813 + return -alpha * A + alpha_t * t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK25/id_test.csv b/llm-srbench/chem_react/CRK25/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1f809aeaf10b02771f4a74532cde27f416bf5f11 --- /dev/null +++ b/llm-srbench/chem_react/CRK25/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cb44cb7a2ccb1566705ebe4a6a434c76876c28262482774c53c5f13deb542b17 +size 29585 diff --git a/llm-srbench/chem_react/CRK25/metadata.yaml b/llm-srbench/chem_react/CRK25/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8c4ce61cc89c128b463e33a2f1a73e84a628e6a2 --- /dev/null +++ b/llm-srbench/chem_react/CRK25/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK25 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.98679733276367] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0018792152404783, 3.078394889831543] + ood_range: [3.078398466110229, 3.079505443572998] + + target: + name: dA_dt + type: continuous + train_range: [0.0002982897858601, 0.1596144437789917] + ood_range: [0.0001455883175367, 0.0002977792173624] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK25/ood_test.csv b/llm-srbench/chem_react/CRK25/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..23f237ea54abc25649bc2d754c65a8685c421387 --- /dev/null +++ b/llm-srbench/chem_react/CRK25/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe99e5ab997320609a8fb8c2b39bfce9893c41b9f4394a7ad8102151713979d4 +size 30307 diff --git a/llm-srbench/chem_react/CRK25/package.tar.gz b/llm-srbench/chem_react/CRK25/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..068da3981ae1b6278400c5849b5f1a717d40979d --- /dev/null +++ b/llm-srbench/chem_react/CRK25/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eedd8954725032cd9b0891ba4867c5404bc38336ec2e8f85f5ea9f055dace9a8 +size 129038 diff --git a/llm-srbench/chem_react/CRK25/train.csv b/llm-srbench/chem_react/CRK25/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..e3e37921c590d7a3afc7cfa3c47ed33a658634ae --- /dev/null +++ b/llm-srbench/chem_react/CRK25/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f500ad9a5a797eb8ca2160f2aed0899190d5b76f1bce0edbf49dca38c96a1865 +size 195060 diff --git a/llm-srbench/chem_react/CRK25/valid.csv b/llm-srbench/chem_react/CRK25/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..1b4df7a8685ed7c0518d81addf9fd71216350f70 --- /dev/null +++ b/llm-srbench/chem_react/CRK25/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de52f1c0156d883344bfa68059525a8d1f42f9d31196300158c4bced66495242 +size 27850 diff --git a/llm-srbench/chem_react/CRK26/formula.py b/llm-srbench/chem_react/CRK26/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..ba43ac098338165f96113134842b1011569cf299 --- /dev/null +++ b/llm-srbench/chem_react/CRK26/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.33235592877205233 + alpha_m = 0.33235592877205233 + return -alpha_s * A**2 - alpha_s * A * np.exp(-alpha_s * t) + alpha_m * np.sin(np.sqrt(A)) diff --git a/llm-srbench/chem_react/CRK26/id_test.csv b/llm-srbench/chem_react/CRK26/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cf3a32e12030dba3b5bec2d5c9a03c31494d8751 --- /dev/null +++ b/llm-srbench/chem_react/CRK26/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9fa15d145b29e3c6359beb6d835e68e891dd4d483aab13bb2101ae3955940a52 +size 30338 diff --git a/llm-srbench/chem_react/CRK26/metadata.yaml b/llm-srbench/chem_react/CRK26/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..034eeb95936dd258ac81af66ce2f801038e475b0 --- /dev/null +++ b/llm-srbench/chem_react/CRK26/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK26 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.2513835132122039, 0.9934399724006652] + ood_range: [0.5022146105766296, 0.5087137222290039] + + target: + name: dA_dt + type: continuous + train_range: [-0.5432850122451782, 0.0100599266588687] + ood_range: [0.0008730660192668, 0.0013504720991477] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK26/ood_test.csv b/llm-srbench/chem_react/CRK26/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4ecbb78df83bd120c68a48f2ae243b92e8696e65 --- /dev/null +++ b/llm-srbench/chem_react/CRK26/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66232c04f780ab32d097d185ac6c68e43f5181f1fff174e38e700d1f1a586679 +size 30463 diff --git a/llm-srbench/chem_react/CRK26/package.tar.gz b/llm-srbench/chem_react/CRK26/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..75dac587fa16d59dd9f8e4d8bf141dd2cef7ecd1 --- /dev/null +++ b/llm-srbench/chem_react/CRK26/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:df9efdf8266b78cf9ec7b8ea3f0ec69dcb7cea5f0ad14ea8566d7374d0fda5b8 +size 131245 diff --git a/llm-srbench/chem_react/CRK26/train.csv b/llm-srbench/chem_react/CRK26/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..be54371a54236e41c12acdf9c801470c4eae6bbf --- /dev/null +++ b/llm-srbench/chem_react/CRK26/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:31e1e7ce878391bfb3128f5b9f0e9ceec2be457cf6963b05b014fe3bcd90fe86 +size 197038 diff --git a/llm-srbench/chem_react/CRK26/valid.csv b/llm-srbench/chem_react/CRK26/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..9940f8ba87c8c5facf8cf862bfbd76107fe4cb42 --- /dev/null +++ b/llm-srbench/chem_react/CRK26/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:14a73b57cf6cc1157858ec15566e7d9f565ed336e9aa430bd84758f0317ba01a +size 28161 diff --git a/llm-srbench/chem_react/CRK27/formula.py b/llm-srbench/chem_react/CRK27/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..2e8a341ba49e405172fb18de153c0691f72fc3d0 --- /dev/null +++ b/llm-srbench/chem_react/CRK27/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.3115334933234426 + alpha_f = 0.3115334933234426 + beta = 0.3333333333333333 + return -alpha_s * A**2 - alpha_s * A * np.exp(-alpha_s * t) + alpha_f * A**beta diff --git a/llm-srbench/chem_react/CRK27/id_test.csv b/llm-srbench/chem_react/CRK27/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..43cccccf8701401f47f495fbb2385bab256b125b --- /dev/null +++ b/llm-srbench/chem_react/CRK27/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d6cf5a620e50e466f19c2a3fb4e81c3ca1da59300686a4996545263603cb2a82 +size 30240 diff --git a/llm-srbench/chem_react/CRK27/metadata.yaml b/llm-srbench/chem_react/CRK27/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d5978e711ae85eea7787da550a0731807f691c52 --- /dev/null +++ b/llm-srbench/chem_react/CRK27/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK27 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.98679733276367] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.5212406516075134, 1.0] + ood_range: [0.8325759768486022, 0.8357852697372437] + + target: + name: dA_dt + type: continuous + train_range: [-0.3898812532424926, 0.0159349627792835] + ood_range: [0.0004232367791701, 0.0007804627530276] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK27/ood_test.csv b/llm-srbench/chem_react/CRK27/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..dff15338094774b92bd7c5ff50dce739f5157ce7 --- /dev/null +++ b/llm-srbench/chem_react/CRK27/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2558468b366761c89eac3d468df4b5429aa896d8a79bda0c8ebaecb9876834bc +size 30817 diff --git a/llm-srbench/chem_react/CRK27/package.tar.gz b/llm-srbench/chem_react/CRK27/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b72e58c77af8f868337e4061c528251db027537f --- /dev/null +++ b/llm-srbench/chem_react/CRK27/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a99d1a23e60bcea9a695fe27135fe162241317fba38cce0e25577eb775681ce3 +size 130506 diff --git a/llm-srbench/chem_react/CRK27/train.csv b/llm-srbench/chem_react/CRK27/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..707d9ca5169cfb65eb077f13e44067467b5baf8e --- /dev/null +++ b/llm-srbench/chem_react/CRK27/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5992599776fe2d07641c449b4d3154e48d8a78292ce8a3d993ff1306f483b64e +size 196619 diff --git a/llm-srbench/chem_react/CRK27/valid.csv b/llm-srbench/chem_react/CRK27/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..0cb919e6fd303435faec97bbabbd9887bc8a939c --- /dev/null +++ b/llm-srbench/chem_react/CRK27/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d748490944fc2ba5af57287b81a6d1a1e610324cac08ce0db66e878d91319ae7 +size 28135 diff --git a/llm-srbench/chem_react/CRK28/formula.py b/llm-srbench/chem_react/CRK28/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..58471a3377a147cba086c0b3ce145f5b5cba49a1 --- /dev/null +++ b/llm-srbench/chem_react/CRK28/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.3009370469546767 + alpha_z = 0.3009370469546767 + beta = 0.8913296033617462 + return -alpha_s * A * np.exp(-alpha_s * t) + alpha_z * A ** 2 / (beta * A ** 4 + 1) diff --git a/llm-srbench/chem_react/CRK28/id_test.csv b/llm-srbench/chem_react/CRK28/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..751d9c9f804a1ba6d5972a3515eff19a21024d1b --- /dev/null +++ b/llm-srbench/chem_react/CRK28/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:323f497255b2bf456170c16b6ed5329e88f6a201b64b63bab74fe7ed7e162144 +size 29351 diff --git a/llm-srbench/chem_react/CRK28/metadata.yaml b/llm-srbench/chem_react/CRK28/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..40a0d8bccc7709e1e4cf79204f1edfb6070cf638 --- /dev/null +++ b/llm-srbench/chem_react/CRK28/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK28 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.98679733276367] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0010783672332764, 3.4506735801696777] + ood_range: [3.4516897201538086, 3.70158314704895] + + target: + name: dA_dt + type: continuous + train_range: [0.0410834625363349, 0.0898257419466972] + ood_range: [0.0410623550415039, 0.0423301607370376] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK28/ood_test.csv b/llm-srbench/chem_react/CRK28/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cb5b28825d1dce677db76f8339ff5d2027a42960 --- /dev/null +++ b/llm-srbench/chem_react/CRK28/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19ae5779a9f845c415fb172ce1923b317add320c5155373448c18b7dd97957bd +size 29313 diff --git a/llm-srbench/chem_react/CRK28/package.tar.gz b/llm-srbench/chem_react/CRK28/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..8d01dac5e3d97bba65921c18606083cdcdacd776 --- /dev/null +++ b/llm-srbench/chem_react/CRK28/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6935f1c09e80cb0172b6869f8138d2df26fda4c09f6c2487f86295f0c5df2a24 +size 128787 diff --git a/llm-srbench/chem_react/CRK28/train.csv b/llm-srbench/chem_react/CRK28/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..377e5153461da1cffa2c956c02df87eb5c408a1b --- /dev/null +++ b/llm-srbench/chem_react/CRK28/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8b17f04efc1a2eeb202ba16d75e65d11afa1f9ec2a88dd49e5aebec9d41fb06f +size 195182 diff --git a/llm-srbench/chem_react/CRK28/valid.csv b/llm-srbench/chem_react/CRK28/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..d5683cfcd5409b8f2002c542b43a7b4e7ff3a045 --- /dev/null +++ b/llm-srbench/chem_react/CRK28/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bba4e64b69c3a1ae8438411fc39ae50a6cd6b959535043d4ab5635f91483f289 +size 27899 diff --git a/llm-srbench/chem_react/CRK29/formula.py b/llm-srbench/chem_react/CRK29/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..874bb10d00c4313e9089ae19700a4dfd00892b61 --- /dev/null +++ b/llm-srbench/chem_react/CRK29/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.10132643987768028 + alpha_z = 0.10132643987768028 + beta = 0.8635828411814722 + return -alpha_s * A - alpha_s * A * np.exp(-alpha_s * t) + alpha_z * A**2 / (beta * A**4 + 1) diff --git a/llm-srbench/chem_react/CRK29/id_test.csv b/llm-srbench/chem_react/CRK29/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..6b336b7ea7a5ee9199f092c1b081bf33884a0a59 --- /dev/null +++ b/llm-srbench/chem_react/CRK29/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:472993c43177d4f25ccffbbde5e82b02a7e71e05f54c4df5d3fc3cf64273d1e2 +size 29585 diff --git a/llm-srbench/chem_react/CRK29/metadata.yaml b/llm-srbench/chem_react/CRK29/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..34adf670fd93be0b8fbdc8ce84a3e43a93049546 --- /dev/null +++ b/llm-srbench/chem_react/CRK29/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK29 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 2.053173065185547] + ood_range: [2.053186178207397, 2.059855461120605] + + target: + name: dA_dt + type: continuous + train_range: [0.001464577158913, 0.2405923306941986] + ood_range: [0.0008592716185376, 0.0014779324410483] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK29/ood_test.csv b/llm-srbench/chem_react/CRK29/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d807f345e85fc080f4fd1fd4d0ce83d84c9ee42 --- /dev/null +++ b/llm-srbench/chem_react/CRK29/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:40d03cc4a1c76dc8576b17ab4e186ca029f1c61faf74f6814d7f9a726b35d367 +size 29965 diff --git a/llm-srbench/chem_react/CRK29/package.tar.gz b/llm-srbench/chem_react/CRK29/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4e87c7e5214bd477a9280b1d6952f5a6fb1848e0 --- /dev/null +++ b/llm-srbench/chem_react/CRK29/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:10eaf2d2a17d34ee9a963143e50393e108563cd129b8caa46958cf810a298673 +size 129185 diff --git a/llm-srbench/chem_react/CRK29/train.csv b/llm-srbench/chem_react/CRK29/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..b508b5c5366ab2e86b704274d64729e01948b20c --- /dev/null +++ b/llm-srbench/chem_react/CRK29/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0246c999aec9ed733ffd036d8e5ab34e24e9b449798d54c92051fbe731e03ec +size 195390 diff --git a/llm-srbench/chem_react/CRK29/valid.csv b/llm-srbench/chem_react/CRK29/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..e5d95cdcaf01bb69e2bf7e3506a91ddff3d65894 --- /dev/null +++ b/llm-srbench/chem_react/CRK29/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98b97035b229228c5325628a604468ed58a1856f82f04e4086aa34bbe4ebabf7 +size 27911 diff --git a/llm-srbench/chem_react/CRK3/formula.py b/llm-srbench/chem_react/CRK3/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..3f3ca1aab625a6c8c61e5173b7db6f188164b7a5 --- /dev/null +++ b/llm-srbench/chem_react/CRK3/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.547523655303147 + alpha_w = 0.547523655303147 + return -alpha_s * A**2 - alpha_s * A * np.exp(-alpha_s * t) + alpha_w * np.cos(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK3/id_test.csv b/llm-srbench/chem_react/CRK3/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a519388ec9a582d4909c35301f5992140af2906a --- /dev/null +++ b/llm-srbench/chem_react/CRK3/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2050166b650ba0012efc4fb6361763d9e02a3472f5d5448b9f7c9ac6b8e36e99 +size 30359 diff --git a/llm-srbench/chem_react/CRK3/metadata.yaml b/llm-srbench/chem_react/CRK3/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2eeb2819c361464fa54ef3548daf654de7fcbbcb --- /dev/null +++ b/llm-srbench/chem_react/CRK3/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK3 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.6947972774505615, 1.0] + ood_range: [0.939747929573059, 0.950931966304779] + + target: + name: dA_dt + type: continuous + train_range: [-0.5527939200401306, 0.0082329558208584] + ood_range: [0.0012989869574084, 0.0029621848370879] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK3/ood_test.csv b/llm-srbench/chem_react/CRK3/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..250bdfd8781648b4b0711b8c210817ce70679510 --- /dev/null +++ b/llm-srbench/chem_react/CRK3/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99c4ddf14203a8e117668d069eb01bbb465d3b2b920eb8cef7b49d4a85f62ee4 +size 30335 diff --git a/llm-srbench/chem_react/CRK3/package.tar.gz b/llm-srbench/chem_react/CRK3/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fed91440c272f673408d7089abe43ede360f4eb4 --- /dev/null +++ b/llm-srbench/chem_react/CRK3/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9b73d6e031d23a359094deaeb016b03b21d15345185917292a1aadc180a6c6f9 +size 129805 diff --git a/llm-srbench/chem_react/CRK3/train.csv b/llm-srbench/chem_react/CRK3/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..2511b56779976118a512b8b0e55ca30d699d8192 --- /dev/null +++ b/llm-srbench/chem_react/CRK3/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:80ac475268e43b8aca2ffaa78c1cd3b74c622a086606ca79a24d437f5bf99ac6 +size 196453 diff --git a/llm-srbench/chem_react/CRK3/valid.csv b/llm-srbench/chem_react/CRK3/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..36da5e3e152533d79f87803a148d1ce820ab8f3d --- /dev/null +++ b/llm-srbench/chem_react/CRK3/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d9832c3aca4dbf34a3dcd10fa552bc21d24a21df2f1e85d8d9cd0923ff0f07f +size 28053 diff --git a/llm-srbench/chem_react/CRK30/formula.py b/llm-srbench/chem_react/CRK30/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..148259fba587ee431f356c7fdf7e13dff828d79b --- /dev/null +++ b/llm-srbench/chem_react/CRK30/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.25667350778028636 + alpha_t = 0.25667350778028636 + return -alpha_s * A - alpha_s * A * np.exp(-alpha_s * t) + alpha_t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK30/id_test.csv b/llm-srbench/chem_react/CRK30/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..259b1d0422849b5db4ac2c76d673b090864ec4e2 --- /dev/null +++ b/llm-srbench/chem_react/CRK30/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:634154dd511269b50d628fd7f326640f0d0a8db3da0810778bca962ed720a194 +size 29350 diff --git a/llm-srbench/chem_react/CRK30/metadata.yaml b/llm-srbench/chem_react/CRK30/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e4a36e2b88d9d09c4019fe5f77ab596ac78bec15 --- /dev/null +++ b/llm-srbench/chem_react/CRK30/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK30 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 2.592981338500977] + ood_range: [2.5931882858276367, 2.69430947303772] + + target: + name: dA_dt + type: continuous + train_range: [0.0176637154072523, 0.0889637172222137] + ood_range: [0.0167213734239339, 0.0176627840846776] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK30/ood_test.csv b/llm-srbench/chem_react/CRK30/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5437c19a9b9e5ad752fa3685a2d72327c1240ebf --- /dev/null +++ b/llm-srbench/chem_react/CRK30/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f6856b0197ff83c9a48e022e251902b0f330be488daad9e74f29e5f5f2b210ae +size 29309 diff --git a/llm-srbench/chem_react/CRK30/package.tar.gz b/llm-srbench/chem_react/CRK30/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0b39814398f7a29f62b30a9a090e20432acd1694 --- /dev/null +++ b/llm-srbench/chem_react/CRK30/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:339de987eb1570037044ca23031a0c69a0447084409d09a032cf681532b449cf +size 129581 diff --git a/llm-srbench/chem_react/CRK30/train.csv b/llm-srbench/chem_react/CRK30/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..978dc883ece6b7001bfbf555d78c2f6f97708587 --- /dev/null +++ b/llm-srbench/chem_react/CRK30/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c2412cfe77982d9a517930132bfff37973503fb29cfd7e20c94939fad2d6d75 +size 195218 diff --git a/llm-srbench/chem_react/CRK30/valid.csv b/llm-srbench/chem_react/CRK30/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..2d4ee9855c512dc49a847bcbd57fc7b3a49dc91b --- /dev/null +++ b/llm-srbench/chem_react/CRK30/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c792c16629d91e074ca2e50c7a7c9c8b8cd8e8e456080b45cdfde8dae836547 +size 27895 diff --git a/llm-srbench/chem_react/CRK31/formula.py b/llm-srbench/chem_react/CRK31/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..2667b5395c7d2843df6875bb8fd52e68af8421b2 --- /dev/null +++ b/llm-srbench/chem_react/CRK31/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.5980340707747946 + alpha_w = 0.5980340707747946 + return -alpha * np.sqrt(A) - alpha * A + alpha_w * np.cos(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK31/id_test.csv b/llm-srbench/chem_react/CRK31/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..24a2dbe835f92ab551b2d496e8552a993385da73 --- /dev/null +++ b/llm-srbench/chem_react/CRK31/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:886bbc2b471af490f4b39da8cf4cb7a31dacb60126b767e896c63321fdbb4248 +size 31003 diff --git a/llm-srbench/chem_react/CRK31/metadata.yaml b/llm-srbench/chem_react/CRK31/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..75bc3809e8a55af39588c5bf689a2a08e6f0b7cb --- /dev/null +++ b/llm-srbench/chem_react/CRK31/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK31 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.98679733276367] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.1374796777963638, 0.98854398727417] + ood_range: [0.1374789178371429, 0.1377170383930206] + + target: + name: dA_dt + type: continuous + train_range: [-0.9487819075584412, 0.0001396717561874] + ood_range: [-0.000201824324904, 0.0001407694071531] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK31/ood_test.csv b/llm-srbench/chem_react/CRK31/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..89c63de0194cadc6d2ee86c93e38a3ebd16da36b --- /dev/null +++ b/llm-srbench/chem_react/CRK31/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b91dbf0a01b1dc02dea0ef5df57cd99bbe4570834f08efcde7c195758e1aefe0 +size 31104 diff --git a/llm-srbench/chem_react/CRK31/package.tar.gz b/llm-srbench/chem_react/CRK31/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..92ef09df0ce6d2fa9c932b595dcf341324204cc8 --- /dev/null +++ b/llm-srbench/chem_react/CRK31/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e041de7fde48d59b78fc5ed219a23c6d83c415e4b39092f19dd31de0837c78ad +size 130864 diff --git a/llm-srbench/chem_react/CRK31/train.csv b/llm-srbench/chem_react/CRK31/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..995f7112de5e0aded62c361dd03f4130d5b02321 --- /dev/null +++ b/llm-srbench/chem_react/CRK31/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b434030f196136052156358340b0473b4e1758599a25eeb81506f9ee799a5576 +size 206379 diff --git a/llm-srbench/chem_react/CRK31/valid.csv b/llm-srbench/chem_react/CRK31/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..605f4f4493c3519a3e47b6ade267cc429a30769d --- /dev/null +++ b/llm-srbench/chem_react/CRK31/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7892e3ccad4fc311c37b1d93e9286d977eb329fb81e45398a0a07fb6be5123f4 +size 29468 diff --git a/llm-srbench/chem_react/CRK32/formula.py b/llm-srbench/chem_react/CRK32/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..ace26b5a8958587e11d95f2433985712a55e5f61 --- /dev/null +++ b/llm-srbench/chem_react/CRK32/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.49947326957917104 + alpha_f = 0.49947326957917104 + beta = 0.3333333333333333 + return -alpha_s * A - alpha_s * A * np.exp(-alpha_s * t) + alpha_f * A ** beta diff --git a/llm-srbench/chem_react/CRK32/id_test.csv b/llm-srbench/chem_react/CRK32/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d0c93cbd924033a710e5a26a75d5c9a470e10ca0 --- /dev/null +++ b/llm-srbench/chem_react/CRK32/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75bf56db4460ec73484add42938fe839274fc6a360475bfd160939a3ef1f906d +size 29470 diff --git a/llm-srbench/chem_react/CRK32/metadata.yaml b/llm-srbench/chem_react/CRK32/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f82c083c7551c50dd1e8641c6822b74e75964b44 --- /dev/null +++ b/llm-srbench/chem_react/CRK32/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK32 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.8011671900749207, 1.8140676021575928] + ood_range: [1.8141770362854004, 1.8643254041671755] + + target: + name: dA_dt + type: continuous + train_range: [-0.1998351067304611, 0.0272208359092473] + ood_range: [0.0075325206853449, 0.0094644203782081] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK32/ood_test.csv b/llm-srbench/chem_react/CRK32/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4aec1df807580e81c06192d0ae0bf7cd23f77c13 --- /dev/null +++ b/llm-srbench/chem_react/CRK32/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e160a67c0c87883dededd4a6107aee94d63e8d0a86089a4ef2aba7a9002dcbf +size 29827 diff --git a/llm-srbench/chem_react/CRK32/package.tar.gz b/llm-srbench/chem_react/CRK32/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5b188c3307c902103967681fafaf605d50138811 --- /dev/null +++ b/llm-srbench/chem_react/CRK32/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8dc5b3a101d4eec57e43fd0af261069c6e10c117a385dc1c8f9bf72a608d9a00 +size 130499 diff --git a/llm-srbench/chem_react/CRK32/train.csv b/llm-srbench/chem_react/CRK32/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..9a74126c8b87a5121a672225b429642efeb3a467 --- /dev/null +++ b/llm-srbench/chem_react/CRK32/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:980d419cd8d45cc6ecb41993975e42e632744d7ab2109bbfea9170952fb796c2 +size 196102 diff --git a/llm-srbench/chem_react/CRK32/valid.csv b/llm-srbench/chem_react/CRK32/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..97733aa91b852875262abeb6c5fd74eaa86e3268 --- /dev/null +++ b/llm-srbench/chem_react/CRK32/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d97d8ab1536f6e9efed73961aff9358326375adac0ac4c288ee403f5388a591e +size 28006 diff --git a/llm-srbench/chem_react/CRK33/formula.py b/llm-srbench/chem_react/CRK33/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..4e5bdf2fdf6ce931dc98ef9619e6dfbcdbff5d2f --- /dev/null +++ b/llm-srbench/chem_react/CRK33/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.11846873325639269 + alpha_t = 0.11846873325639269 + return -alpha * np.sqrt(A) - alpha * A**2 + alpha_t * t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK33/id_test.csv b/llm-srbench/chem_react/CRK33/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..70df97780ccf782278b3a0370fdbdf94b5c3188f --- /dev/null +++ b/llm-srbench/chem_react/CRK33/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cbb05a165539be21e6239cae4c8f5d06e4aa4c921915ea1c679d397513af5cbd +size 30204 diff --git a/llm-srbench/chem_react/CRK33/metadata.yaml b/llm-srbench/chem_react/CRK33/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..01571cd096c516d4fcd4eeabe9878ed5deb957e1 --- /dev/null +++ b/llm-srbench/chem_react/CRK33/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK33 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.98679733276367] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 2.261096954345703] + ood_range: [2.2585840225219727, 2.259649515151977] + + target: + name: dA_dt + type: continuous + train_range: [-0.0005849621957167, 0.3047294020652771] + ood_range: [0.0001048723643179, 0.0006120954058133] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK33/ood_test.csv b/llm-srbench/chem_react/CRK33/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0eddb64b28947ae835ce5ad73f7f4510dbc9b16f --- /dev/null +++ b/llm-srbench/chem_react/CRK33/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7523602ea4013907a78d4c6a92ee5cf430dd8a35005699f96ab1427c48ae00e +size 30324 diff --git a/llm-srbench/chem_react/CRK33/package.tar.gz b/llm-srbench/chem_react/CRK33/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..53cea77eb1d5d0ef98c3821e1a10fbb19b39e09f --- /dev/null +++ b/llm-srbench/chem_react/CRK33/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d119a1fc0a40f853fe2f19947a496002f45bb199fd6256fca159eef05583e538 +size 126274 diff --git a/llm-srbench/chem_react/CRK33/train.csv b/llm-srbench/chem_react/CRK33/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..c867d2b7b72c343a6e268665e879c5b4b6cc4b8a --- /dev/null +++ b/llm-srbench/chem_react/CRK33/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:469b071c404deba91ce3759a21d529738836866419bdb3802fac24c380e85da0 +size 197908 diff --git a/llm-srbench/chem_react/CRK33/valid.csv b/llm-srbench/chem_react/CRK33/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..e1854a995460402c645c48183ded82fa0b4c2384 --- /dev/null +++ b/llm-srbench/chem_react/CRK33/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d3c01d65caab3961e447f1bc3daa6770dafe3893994eb50198865597d249a09 +size 28319 diff --git a/llm-srbench/chem_react/CRK34/formula.py b/llm-srbench/chem_react/CRK34/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..9794b677151b19deee604ff911b282c276a37b8c --- /dev/null +++ b/llm-srbench/chem_react/CRK34/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.1689114325901851 + beta_f = 0.1689114325901851 + return -alpha * A ** 2 + beta_f * A ** 0.3333333333333333 diff --git a/llm-srbench/chem_react/CRK34/id_test.csv b/llm-srbench/chem_react/CRK34/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1f617e84e6fa405df0917cdf7b38b3f51258a009 --- /dev/null +++ b/llm-srbench/chem_react/CRK34/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b25dd0c79f8178a6f1ace68daa9c468bc0af6113d8fca4b06817d02fa2d00dbd +size 30285 diff --git a/llm-srbench/chem_react/CRK34/metadata.yaml b/llm-srbench/chem_react/CRK34/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bb7910c7d6be510a29e7aa6c8649bc09dcf668d9 --- /dev/null +++ b/llm-srbench/chem_react/CRK34/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK34 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 2.3960497379302974] + ood_range: [2.3933703899383545, 2.395500421524048] + + target: + name: dA_dt + type: continuous + train_range: [-0.0009207127150148, 0.5550901889801025] + ood_range: [-0.0005501300329342, 0.0008856251370161] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK34/ood_test.csv b/llm-srbench/chem_react/CRK34/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c0dc6b81d784709f44c7ce7946237bdbbef57191 --- /dev/null +++ b/llm-srbench/chem_react/CRK34/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4b4ebd321951971a13d036b0239655a567def6617f49d1b053cb440ebf96172 +size 30454 diff --git a/llm-srbench/chem_react/CRK34/package.tar.gz b/llm-srbench/chem_react/CRK34/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..aaee458cfaacfbc8f436c9099574076ea8ab76b9 --- /dev/null +++ b/llm-srbench/chem_react/CRK34/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bb98b4ba356bba58f2ed638a7d3ce97239c11dfaa78e79bc846827072e931f53 +size 125914 diff --git a/llm-srbench/chem_react/CRK34/train.csv b/llm-srbench/chem_react/CRK34/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..55cbad618677e6a8c35a6f996808e1a09fd1f0a7 --- /dev/null +++ b/llm-srbench/chem_react/CRK34/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6001e60b7837932187025ccd6f759c7810d3b29109f0d2d39247633c780672c2 +size 197259 diff --git a/llm-srbench/chem_react/CRK34/valid.csv b/llm-srbench/chem_react/CRK34/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..1dfcf0be1758b4add33996e0fd255a6395fe45cf --- /dev/null +++ b/llm-srbench/chem_react/CRK34/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:84007b7d42788231cee726bd3e59ca8b38f5392b10f270976a9d7d85d82595e0 +size 28156 diff --git a/llm-srbench/chem_react/CRK35/formula.py b/llm-srbench/chem_react/CRK35/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..b2dfcdfccb7831affe4db40c37208f9c6dfcfa53 --- /dev/null +++ b/llm-srbench/chem_react/CRK35/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.13625696690019862 + alpha_q = 0.13625696690019862 + beta = 0.9423435234237035 + return -alpha * A + alpha_q * A * np.log(beta * t + 1) diff --git a/llm-srbench/chem_react/CRK35/id_test.csv b/llm-srbench/chem_react/CRK35/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..56f08480986220f97c7dd90d84b0583a6c1ea564 --- /dev/null +++ b/llm-srbench/chem_react/CRK35/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe619fc9219ff2decc01c1719b33a4eaa4b41f481ce4a6aedd4f4f5a700488c9 +size 29389 diff --git a/llm-srbench/chem_react/CRK35/metadata.yaml b/llm-srbench/chem_react/CRK35/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bc1f670c502782aa2886952cd66b176fcd973c60 --- /dev/null +++ b/llm-srbench/chem_react/CRK35/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK35 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.6845508217811584, 16.702295303344727] + ood_range: [16.724220275878906, 32.9427375793457] + + target: + name: dA_dt + type: continuous + train_range: [-0.1362569630146026, 1.8306134939193728] + ood_range: [1.8332433700561523, 3.8227839469909672] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK35/ood_test.csv b/llm-srbench/chem_react/CRK35/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea615406e4385d90df70fa3f10b178411c469a73 --- /dev/null +++ b/llm-srbench/chem_react/CRK35/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88f8b99894bf275d0236280d244b2ad7cdff9fb2aa87cd19707c74675ad73c02 +size 28310 diff --git a/llm-srbench/chem_react/CRK35/package.tar.gz b/llm-srbench/chem_react/CRK35/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0675509f5ad1e282f4c05b9a3b1e54ab0fecadb4 --- /dev/null +++ b/llm-srbench/chem_react/CRK35/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b99e81c45158ee5612f7cb070900121539afbed26723fec0db47b46e0514854 +size 132646 diff --git a/llm-srbench/chem_react/CRK35/train.csv b/llm-srbench/chem_react/CRK35/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..2f5b82830573c49601a18eb1bdb1d38afe04a3fe --- /dev/null +++ b/llm-srbench/chem_react/CRK35/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:95ff03c38abdb68c855d2b55b624eb2212ad6f096b2a3a10ee5e2bb261f5991f +size 195812 diff --git a/llm-srbench/chem_react/CRK35/valid.csv b/llm-srbench/chem_react/CRK35/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..f0cf5edbd685b0e1be7ea41b37cc0c02a1862353 --- /dev/null +++ b/llm-srbench/chem_react/CRK35/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da0198c352c37b987b420ea624a3f001cffe4c6700375212fbaa10eab48cf1ef +size 27953 diff --git a/llm-srbench/chem_react/CRK4/formula.py b/llm-srbench/chem_react/CRK4/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..f47cd7da68a8f445a0daa3f6f7aac44c31a9c12d --- /dev/null +++ b/llm-srbench/chem_react/CRK4/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.11492904603507054 + beta = 0.11492904603507054 + gamma = 0.2569297861044923 + return -alpha * A**2 + beta * A * np.log(gamma * t + 1) diff --git a/llm-srbench/chem_react/CRK4/id_test.csv b/llm-srbench/chem_react/CRK4/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c2f738a2905bbf1bd1db1a2ba2eda9ccfb79dd26 --- /dev/null +++ b/llm-srbench/chem_react/CRK4/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2640957a089c9a33f24ae41e9cc747692db85c6b8bdc53e033544aa68fd204e1 +size 29708 diff --git a/llm-srbench/chem_react/CRK4/metadata.yaml b/llm-srbench/chem_react/CRK4/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1a1d59910593ed43dbc9aa29f0bb19b2bf8e590e --- /dev/null +++ b/llm-srbench/chem_react/CRK4/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK4 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.6980292201042175, 1.5265278816223145] + ood_range: [1.5266802310943604, 1.5971280336380005] + + target: + name: dA_dt + type: continuous + train_range: [-0.1149290427565574, 0.0245479382574558] + ood_range: [0.0110322963446378, 0.0126783410087227] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK4/ood_test.csv b/llm-srbench/chem_react/CRK4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..3928f030c3e674b177a5dcb3044e172f4628c05a --- /dev/null +++ b/llm-srbench/chem_react/CRK4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5e6e187a1bc1be3fc64c65b2c2d4212312455627f41ed2f0b963977ed8c330c1 +size 29302 diff --git a/llm-srbench/chem_react/CRK4/package.tar.gz b/llm-srbench/chem_react/CRK4/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..7bc5b98517e83adb5c63af3de6c751a497761283 --- /dev/null +++ b/llm-srbench/chem_react/CRK4/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce4e70aabcbca6076d97328114b6c7fc2c917c5e0524a9c1e16c0dd058311927 +size 130841 diff --git a/llm-srbench/chem_react/CRK4/train.csv b/llm-srbench/chem_react/CRK4/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..9cdb57014eab310e31959ed864763e6609adf54b --- /dev/null +++ b/llm-srbench/chem_react/CRK4/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70b55809721b699622ba6f9a5b0f1118680db6de3a476b41a18e71d58cc4dfa7 +size 196534 diff --git a/llm-srbench/chem_react/CRK4/valid.csv b/llm-srbench/chem_react/CRK4/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..547ce70ca3eee8e78983d714ecf71634575cadbd --- /dev/null +++ b/llm-srbench/chem_react/CRK4/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1e53c645469cb5c96e2075dc8c88b5cc7c1be0e2dfa71cbeb25d139d1a71553 +size 28151 diff --git a/llm-srbench/chem_react/CRK5/formula.py b/llm-srbench/chem_react/CRK5/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..40981265f82c10d84bacab8bc1cef0e71977b93f --- /dev/null +++ b/llm-srbench/chem_react/CRK5/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.3254156367450257 + beta = 0.3333333333333333 + return -alpha * np.sqrt(A) + alpha * A ** beta diff --git a/llm-srbench/chem_react/CRK5/id_test.csv b/llm-srbench/chem_react/CRK5/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9326226a3d1b85470944b19376eb50fecf927aca --- /dev/null +++ b/llm-srbench/chem_react/CRK5/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f2f8ffbcce88e855dae2e0ba1beaa577bd9719c14c4391fbcc80a260c138e468 +size 28859 diff --git a/llm-srbench/chem_react/CRK5/metadata.yaml b/llm-srbench/chem_react/CRK5/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d350bf50e954e529017346534e3671b3cafc6ef0 --- /dev/null +++ b/llm-srbench/chem_react/CRK5/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK5 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 9.38809299468994] + ood_range: [9.38936519622803, 9.99868106842041] + + target: + name: dA_dt + type: continuous + train_range: [0.1061226576566696, 0.2000783234834671] + ood_range: [0.0976254865527153, 0.1061049252748489] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK5/ood_test.csv b/llm-srbench/chem_react/CRK5/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ec00672613627501c9759912d157043d0f530b47 --- /dev/null +++ b/llm-srbench/chem_react/CRK5/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b3c56c00463b248a2ba955b70ea7f08d74f5bd3cdec9ed4e2bd17e443fc2296f +size 28962 diff --git a/llm-srbench/chem_react/CRK5/package.tar.gz b/llm-srbench/chem_react/CRK5/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..88d4dcf2b9d313ed110d2ef62933a39aafd4e8c7 --- /dev/null +++ b/llm-srbench/chem_react/CRK5/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86c0a49ddb7a2e16fbd89d6183bfafbb140282d1d67bfef7d6385fe0ab3dd0b3 +size 129551 diff --git a/llm-srbench/chem_react/CRK5/train.csv b/llm-srbench/chem_react/CRK5/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..0663638e8eaff97c0ba886f69b34385363601455 --- /dev/null +++ b/llm-srbench/chem_react/CRK5/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3abe6576666c81b8e2835cd6b6dee617bf0a7bcc606d9e2562132dfe59719f9b +size 193608 diff --git a/llm-srbench/chem_react/CRK5/valid.csv b/llm-srbench/chem_react/CRK5/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..15104ab58d4366f7542ba0a5c346468479998e3d --- /dev/null +++ b/llm-srbench/chem_react/CRK5/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a3cdc569e7f0f1a1c59df09dd8d3f688d5935ce907bc10ae6a3b6018c202181 +size 27673 diff --git a/llm-srbench/chem_react/CRK6/formula.py b/llm-srbench/chem_react/CRK6/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..e4128b5c40add4bd4732f0d535611901c0ae5ac5 --- /dev/null +++ b/llm-srbench/chem_react/CRK6/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.4465879557417327 + alpha_m = 0.4465879557417327 + return -alpha_s * A * np.exp(-alpha_s * t) + alpha_m * np.sin(np.sqrt(A)) diff --git a/llm-srbench/chem_react/CRK6/id_test.csv b/llm-srbench/chem_react/CRK6/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fe15670f696f32da45ded84aae91b4a8c4339089 --- /dev/null +++ b/llm-srbench/chem_react/CRK6/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a0fb0e007435fa5403f40e4487c5d7d76abf1f105073fbb54d2ecf19d0ea6942 +size 28995 diff --git a/llm-srbench/chem_react/CRK6/metadata.yaml b/llm-srbench/chem_react/CRK6/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..da0b84129e0d387163afe9577552102a508da990 --- /dev/null +++ b/llm-srbench/chem_react/CRK6/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK6 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0, 9.402280807495115] + ood_range: [9.40270709991455, 9.57525634765625] + + target: + name: dA_dt + type: continuous + train_range: [0.0354326404631137, 0.3873505592346191] + ood_range: [0.0230804178863763, 0.0354027710855007] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK6/ood_test.csv b/llm-srbench/chem_react/CRK6/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c8fbf467e24d53c783d117b576706021274de84f --- /dev/null +++ b/llm-srbench/chem_react/CRK6/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8a35c696d4547f4418cfd660287798c0cf1c4f3511afd0976dfd026b683766e +size 29312 diff --git a/llm-srbench/chem_react/CRK6/package.tar.gz b/llm-srbench/chem_react/CRK6/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fae62ad2c749e2f695a62ce1c6e982deee1bf893 --- /dev/null +++ b/llm-srbench/chem_react/CRK6/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2de82e3b1c1bda9323263f4d28736fed3d83eaa99905277c16384da78ddba31 +size 130245 diff --git a/llm-srbench/chem_react/CRK6/train.csv b/llm-srbench/chem_react/CRK6/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..a47a3354cb62a306e4962d10679936cd288847c3 --- /dev/null +++ b/llm-srbench/chem_react/CRK6/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a4cfd169ec0bd454bd2ea2f69d8a589750e9efc5c51e38eed2373b32ac8c777 +size 193412 diff --git a/llm-srbench/chem_react/CRK6/valid.csv b/llm-srbench/chem_react/CRK6/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..c89ade8346e3df5357a37b967022427348c8a7a8 --- /dev/null +++ b/llm-srbench/chem_react/CRK6/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2939d050e9c89e49e7d9b6fdf2d516189c7bce2f25b928ebdee3d7aee55afba0 +size 27642 diff --git a/llm-srbench/chem_react/CRK7/formula.py b/llm-srbench/chem_react/CRK7/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..1bbee3c01ebf4cd626ed1c47c72f3ff21a4cce24 --- /dev/null +++ b/llm-srbench/chem_react/CRK7/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha_s = 0.731770189531933 + alpha_w = 0.731770189531933 + return -alpha_s * A * np.exp(-alpha_s * t) + alpha_w * np.cos(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK7/id_test.csv b/llm-srbench/chem_react/CRK7/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..809641fa0bd69504ab601e89004c11992db4a444 --- /dev/null +++ b/llm-srbench/chem_react/CRK7/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:71339ceb986d3141d08e03874f9d7bdae6a5fbfe9bba48f27b4f1cd1cc39c553 +size 29374 diff --git a/llm-srbench/chem_react/CRK7/metadata.yaml b/llm-srbench/chem_react/CRK7/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a4e7eb610b935f999170cf8a23242c49dd3936e0 --- /dev/null +++ b/llm-srbench/chem_react/CRK7/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK7 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [0.9663019180297852, 3.530238151550293] + ood_range: [3.530458450317383, 3.62493896484375] + + target: + name: dA_dt + type: continuous + train_range: [-0.0853475853800773, 0.0649403408169746] + ood_range: [0.0132379522547125, 0.0189157538115978] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK7/ood_test.csv b/llm-srbench/chem_react/CRK7/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..831c50f99eee78f6fd878b25e88e4f6139aca940 --- /dev/null +++ b/llm-srbench/chem_react/CRK7/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b36e492f4c915ce7fe20467a36ed95e67b545ae7fc57a430b2e567fefaee934 +size 29319 diff --git a/llm-srbench/chem_react/CRK7/package.tar.gz b/llm-srbench/chem_react/CRK7/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e4269b9edc6f7807da36f53d54f3b50bc0707e24 --- /dev/null +++ b/llm-srbench/chem_react/CRK7/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0a4addbeaef9c8e7fa2f8d50ac741ed7649ade7de9b1cf6454885f58ed6b8b51 +size 130329 diff --git a/llm-srbench/chem_react/CRK7/train.csv b/llm-srbench/chem_react/CRK7/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5f476e6a9289e6078ff78e55576cf0e2cfb4a701 --- /dev/null +++ b/llm-srbench/chem_react/CRK7/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:00cebcb026ce75c3944b52d526cc2b6616fca6c9c8500caaee03dfd50ca2e87c +size 195118 diff --git a/llm-srbench/chem_react/CRK7/valid.csv b/llm-srbench/chem_react/CRK7/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..0653e546b608186d59b975c7fc4bcfe2f99e8b96 --- /dev/null +++ b/llm-srbench/chem_react/CRK7/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3bb788d49512adb523fe1ae670268fa0af77d377dc3fad6f872b7bd79b3d1715 +size 27935 diff --git a/llm-srbench/chem_react/CRK8/formula.py b/llm-srbench/chem_react/CRK8/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..4c22a2e6af99d13309f8e87b26f20927fd4ac673 --- /dev/null +++ b/llm-srbench/chem_react/CRK8/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.6789593965981179 + alpha_t = 0.6789593965981179 + return -alpha * A**2 - alpha * A + alpha_t * np.sin(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK8/id_test.csv b/llm-srbench/chem_react/CRK8/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..6795f56b741fba6163e09905130fb40cdd2e746d --- /dev/null +++ b/llm-srbench/chem_react/CRK8/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e768f1cfa9b326d994bf1249a6e63f0853c8932dc1cf1129b76e95d989df647b +size 32427 diff --git a/llm-srbench/chem_react/CRK8/metadata.yaml b/llm-srbench/chem_react/CRK8/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1668313356ecb60fc62ea5f605dccac88e39b326 --- /dev/null +++ b/llm-srbench/chem_react/CRK8/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK8 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0240048002451658, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [-7.941862918414699e-07, 0.9706164598464964] + ood_range: [-9.006046752801922e-08, 2.74923195320298e-07] + + target: + name: dA_dt + type: continuous + train_range: [-1.1956995725631714, 4.089177991772885e-07] + ood_range: [-1.4155514804770064e-07, 4.637119133121814e-08] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK8/ood_test.csv b/llm-srbench/chem_react/CRK8/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7dec8f4e0ddd791dea2f0e7fd83cd0a929ba04a9 --- /dev/null +++ b/llm-srbench/chem_react/CRK8/ood_test.csv @@ -0,0 +1,3 @@ +version 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a/llm-srbench/chem_react/CRK8/valid.csv b/llm-srbench/chem_react/CRK8/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..7fd093da47d8e2b8bf25b3255638ea5851c92932 --- /dev/null +++ b/llm-srbench/chem_react/CRK8/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:03e6c7c40af5951cce7d2f18fe49ee71d4a472eeabd2cb2f31339807e0f2c216 +size 31029 diff --git a/llm-srbench/chem_react/CRK9/formula.py b/llm-srbench/chem_react/CRK9/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..8eadf53133984d241a6645919e0fa89f67a413e8 --- /dev/null +++ b/llm-srbench/chem_react/CRK9/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dA_dt(t, A): + alpha = 0.2596955894017505 + alpha_w = 0.2596955894017505 + return -alpha * np.sqrt(A) + alpha_w * np.cos(np.log(A + 1)) diff --git a/llm-srbench/chem_react/CRK9/id_test.csv b/llm-srbench/chem_react/CRK9/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c48b9b79943583f89a88eade63f6fa8f6c73c1a1 --- /dev/null +++ b/llm-srbench/chem_react/CRK9/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b04c261db727132d56a77d6ca06f3277599897d5b70e5a427c9275ad605a9d8e +size 30176 diff --git a/llm-srbench/chem_react/CRK9/metadata.yaml b/llm-srbench/chem_react/CRK9/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1145af2402d7c5ea58266aee624403f10ff84a35 --- /dev/null +++ b/llm-srbench/chem_react/CRK9/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__chem_react__CRK9 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0120024001225829, 53.99879837036133] + ood_range: [54.01080322265625, 60.0] + - name: A + type: continuous + train_range: [1.0052926540374756, 2.1341514587402344] + ood_range: [2.1318225860595703, 2.1333913803100586] + + target: + name: dA_dt + type: continuous + train_range: [-0.0003680544032249, 0.4398498833179473] + ood_range: [-9.920543379848824e-05, 0.0004557929642032] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/chem_react/CRK9/ood_test.csv 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ood_test: + file: ood_test.csv + samples: 12509 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: m + type: continuous + train_range: [1.034973382949829, 6.354650497436523] + ood_range: [0.804911187840497, 6.615989434476544] + - name: m_0 + type: continuous + train_range: [1.0000848770141602, 4.999965667724609] + ood_range: [0.8000152955621388, 5.199921151718888] + - name: c + type: continuous + train_range: [3.000091314315796, 9.999721527099608] + ood_range: [2.6500217774341417, 10.34999704154612] + + target: + name: v + type: continuous + train_range: [-9.824721336364746, -0.0345314741134643] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.10.7_1_0/ood_test.csv 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train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: A + type: continuous + train_range: [8.400001525878906, 58.022403717041016] + ood_range: [5.920001644578833, 60.47984584844028] + - name: x2 + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000038470617461, 5.199990781264313] + - name: x3 + type: continuous + train_range: [1.0000522136688232, 4.999896049499512] + ood_range: [0.8000264108514769, 5.199991647311942] + - name: y1 + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000169353819929, 5.199983722116491] + - name: y2 + type: continuous + train_range: [1.0000371932983398, 4.999997138977051] + ood_range: [0.8000136510123161, 5.199996963428055] + - name: y3 + type: 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20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: A + type: continuous + train_range: [8.400001525878906, 58.022403717041016] + ood_range: [5.920033879701376, 60.47994067989732] + - name: x1 + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000000880205537, 5.19999830258602] + - name: x2 + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000225718348949, 5.199987030426489] + - name: x3 + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000216897882192, 5.1999671278293] + - name: y1 + type: continuous + train_range: [1.0000371932983398, 4.9999871253967285] + ood_range: [0.8000066367432206, 5.199998672147161] + - name: y2 + type: continuous + train_range: [1.0000877380371094, 4.999951362609863] + ood_range: [0.8000296596651577, 5.199990031274318] + + target: + name: y3 + type: continuous + train_range: [-74.20604705810547, 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type: continuous + train_range: [0.0008490286418236, 0.2683772444725036] + ood_range: [1.0016183505275056e-06, 0.2813571573235988] + - name: q1 + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.800004060535798, 5.199993130375737] + - name: epsilon + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000246664953878, 5.199997765164773] + + target: + name: r + type: continuous + train_range: [-16.81467056274414, -0.255326896905899] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.12.4_2_0/ood_test.csv b/llm-srbench/lsrtransform/I.12.4_2_0/ood_test.csv new file mode 100644 index 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+ samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: U + type: continuous + train_range: [-46.915977478027344, 53.853214263916016] + ood_range: [-51.939689127093374, 58.93973575269545] + - name: m1 + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000238642699127, 5.199975320372048] + - name: m2 + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000556121960888, 5.199973959927572] + - name: r1 + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000199997717091, 5.199991434193623] + - name: G + type: continuous + train_range: [1.0000371932983398, 4.999997138977051] + ood_range: [0.8000061837069617, 5.199988731811769] + + target: + name: r2 + type: continuous + train_range: [-71805.96875, 10104.23828125] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + 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b/llm-srbench/lsrtransform/I.29.16_0_0/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b53021747dacc1aebb009986e984ca9595e85a163457e5624958cfe05200dc94 +size 462291 diff --git a/llm-srbench/lsrtransform/I.29.16_1_0/formula.py b/llm-srbench/lsrtransform/I.29.16_1_0/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..4219dfad50ea02cd62da9647558c8525467df4bf --- /dev/null +++ b/llm-srbench/lsrtransform/I.29.16_1_0/formula.py @@ -0,0 +1,2 @@ +def x2(x, x1, theta1, theta2): + return x1 * np.cos(theta1 - theta2) - np.sqrt(x**2 + x1**2 * np.cos(theta1 - theta2)**2 - x1**2) diff --git a/llm-srbench/lsrtransform/I.29.16_1_0/id_test.csv b/llm-srbench/lsrtransform/I.29.16_1_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0744039836b7fe6ea92371f13b669b21d6d0fb15 --- /dev/null +++ b/llm-srbench/lsrtransform/I.29.16_1_0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Int + type: continuous + train_range: [0.0001102306923712, 15.470703125] + ood_range: [-0.7747904135996865, 16.274903968626013] + - name: theta + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000100578788057, 5.199996116764768] + - name: n + type: continuous + train_range: [1.0000633001327517, 4.999911785125732] + ood_range: [0.800007176345305, 5.19998587931932] + + target: + name: Int_0 + type: continuous + train_range: [6.732476322213188e-05, 1259999360.0] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.30.3_0_0/ood_test.csv b/llm-srbench/lsrtransform/I.30.3_0_0/ood_test.csv new file mode 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np.sqrt(3) * np.sqrt(Pwr / (c * epsilon)) * (-omega**2 + omega_0**2) / (2 * np.sqrt(np.pi) * omega**2 * r) diff --git a/llm-srbench/lsrtransform/I.32.17_2_0/id_test.csv b/llm-srbench/lsrtransform/I.32.17_2_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..23a5920e9a4f86a6bf043efdd2e096aab9ae1500 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_2_0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4c7c9e98028aef3137755a10d62f94ac5e370a96e43e79bef106d6afce18d23 +size 2643951 diff --git a/llm-srbench/lsrtransform/I.32.17_2_0/metadata.yaml b/llm-srbench/lsrtransform/I.32.17_2_0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..17cbb22e0bc81b3045b54d97c2bb22a6cf2acb0a --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_2_0/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: llm-srbench__lsrtransform__I.32.17_2_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Pwr + type: continuous + train_range: [0.0253226198256015, 80.42746734619139] + ood_range: [0.0002443508150662, 84.41868825541685] + - name: epsilon + type: continuous + train_range: [1.000017166137695, 1.9999914169311523] + ood_range: [0.9500039923133426, 2.0499973519600463] + - name: c + type: continuous + train_range: [1.000012993812561, 1.9999779462814329] + ood_range: [0.950001587038012, 2.049995820805146] + - name: r + type: continuous + train_range: [1.0000038146972656, 1.999996542930603] + ood_range: [0.9500022202282756, 2.049981108444874] + - name: omega + type: continuous + train_range: [1.000009298324585, 1.9999992847442627] + ood_range: [0.9500022285456692, 2.049991068659176] + - name: omega_0 + type: continuous + train_range: [3.0000438690185547, 4.999975681304932] + ood_range: [2.900031322551022, 5.099984943990923] + + target: + name: Ef + type: continuous + train_range: [0.1129845455288887, 76.91857147216798] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.32.17_2_0/ood_test.csv b/llm-srbench/lsrtransform/I.32.17_2_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e337e9f373291e2915f85efb88f23802c35efcaa --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_2_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:392d3122ce2eb485084b529178a68cf31b7e7547d8995901cec3b3788f7b5584 +size 2586333 diff --git a/llm-srbench/lsrtransform/I.32.17_2_0/package.tar.gz 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0000000000000000000000000000000000000000..8249a8d0d988773582adf4850fad76b1609d3e34 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_2_0/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:329571a3926da8292f20a7478ebf5d94501de830842361031bb4072b1b4b5c1c +size 647698 diff --git a/llm-srbench/lsrtransform/I.32.17_3_0/formula.py b/llm-srbench/lsrtransform/I.32.17_3_0/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..479daee2fc04b7d2a9c574179c928e3942459020 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_3_0/formula.py @@ -0,0 +1,2 @@ +def r(Pwr, epsilon, c, Ef, omega, omega_0): + return np.sqrt(3) * np.sqrt(Pwr / (c * epsilon)) * (-omega**2 + omega_0**2) / (2 * np.sqrt(np.pi) * Ef * omega**2) diff --git a/llm-srbench/lsrtransform/I.32.17_3_0/id_test.csv b/llm-srbench/lsrtransform/I.32.17_3_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5ef98ba30715dff9f6e4f228953b487984b676e8 --- 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ood_range: [0.0001975906638782, 84.41844036084866] + - name: epsilon + type: continuous + train_range: [1.000017166137695, 1.9999914169311523] + ood_range: [0.9500004623490452, 2.049986332840146] + - name: c + type: continuous + train_range: [1.000012993812561, 1.9999779462814329] + ood_range: [0.9500049104259644, 2.0499977713196205] + - name: Ef + type: continuous + train_range: [1.0000038146972656, 1.999996542930603] + ood_range: [0.950001359667041, 2.049989058638091] + - name: omega + type: continuous + train_range: [1.000009298324585, 1.9999992847442627] + ood_range: [0.950001296784, 2.049993528490718] + - name: omega_0 + type: continuous + train_range: [3.0000438690185547, 4.999974250793457] + ood_range: [2.900002620274511, 5.099998508220682] + + target: + name: r + type: continuous + train_range: [0.1129845455288887, 76.91857147216798] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.32.17_3_0/ood_test.csv b/llm-srbench/lsrtransform/I.32.17_3_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..872f04646bd3b66850ee4964f82a34703149e505 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_3_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6028bf9437d2057ea8007c4792cded716fa16f67d1148f2ef270e952105f3d3 +size 2586579 diff --git a/llm-srbench/lsrtransform/I.32.17_3_0/package.tar.gz b/llm-srbench/lsrtransform/I.32.17_3_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..6267998f9a8a980eb8fde78a895523c5430cd098 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_3_0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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a/llm-srbench/lsrtransform/I.32.17_4_3/formula.py b/llm-srbench/lsrtransform/I.32.17_4_3/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..85915f405a96e9a1b6040409f13883e08aa4f618 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_4_3/formula.py @@ -0,0 +1,5 @@ +def omega(Pwr, epsilon, c, Ef, r, omega_0): + denominator = 4 * np.pi * Ef**2 * c * epsilon * r**2 - 3 * Pwr + term1 = 2 * np.sqrt(3) * np.sqrt(np.pi) * Ef * omega_0**2 * r * np.sqrt(Pwr * c * epsilon) / denominator + term2 = 3 * Pwr * omega_0**2 / denominator + return np.sqrt(term1 - term2) diff --git a/llm-srbench/lsrtransform/I.32.17_4_3/id_test.csv b/llm-srbench/lsrtransform/I.32.17_4_3/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ae1fa8e964b1559c4356100b23c1a8b5ec88cbb7 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_4_3/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:61e8942c564d16da5359c5f837d57513f894c4ffe87c147a983c1cf7a790e200 +size 2643818 diff --git a/llm-srbench/lsrtransform/I.32.17_4_3/metadata.yaml b/llm-srbench/lsrtransform/I.32.17_4_3/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..61d3d3ea32d74ab48efa1fa270cd4fc636a05f28 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_4_3/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: llm-srbench__lsrtransform__I.32.17_4_3 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Pwr + type: continuous + train_range: [0.0253226198256015, 80.4262466430664] + ood_range: [0.0002736276835397, 84.41841114514209] + - name: epsilon + type: continuous + train_range: [1.000017166137695, 1.9999914169311523] + ood_range: [0.9500012557177536, 2.049998594190985] + - name: c + type: continuous + train_range: [1.0000158548355105, 1.9999779462814329] + ood_range: [0.9500092380741378, 2.0499973717662505] + - name: Ef + type: continuous + train_range: [1.0000038146972656, 1.999996542930603] + ood_range: [0.9500014499047184, 2.04999973508782] + - name: r + type: continuous + train_range: [1.000009298324585, 1.9999992847442627] + ood_range: [0.9500030141105532, 2.0499995239598543] + - name: omega_0 + type: continuous + train_range: [3.0000438690185547, 4.999975681304932] + ood_range: [2.900005518341878, 5.099972398304075] + + target: + name: omega + type: continuous + train_range: [0.5251879096031189, 4.305505752563477] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - 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0000000000000000000000000000000000000000..998d403c913ee934aa80fadfa1e2068e8f13722a --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_5_3/formula.py @@ -0,0 +1,2 @@ +def omega_0(Pwr, epsilon, c, Ef, r, omega): + return np.sqrt(3) * np.sqrt(2 * np.sqrt(3) * np.sqrt(np.pi) * Ef * omega**2 * r * np.sqrt(Pwr * c * epsilon) / Pwr + 3 * omega**2) / 3 diff --git a/llm-srbench/lsrtransform/I.32.17_5_3/id_test.csv b/llm-srbench/lsrtransform/I.32.17_5_3/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..bdaa00c4ec103f1b758b6106cee96dc799c2ee5a --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.17_5_3/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2b9a81ae7c545ef805bf6e45f8848801373019a6ca2cfaae72cb9b89d040fd7 +size 2643965 diff --git a/llm-srbench/lsrtransform/I.32.17_5_3/metadata.yaml b/llm-srbench/lsrtransform/I.32.17_5_3/metadata.yaml new file mode 100644 index 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continuous + train_range: [1.0000038146972656, 1.999996542930603] + ood_range: [0.950001779444941, 2.0499989105373384] + - name: r + type: continuous + train_range: [1.000009298324585, 1.9999992847442627] + ood_range: [0.9500008004572256, 2.0499982941056367] + - name: omega + type: continuous + train_range: [1.0000219345092771, 1.9999878406524656] + ood_range: [0.9500024902440772, 2.0499946746689988] + + target: + name: omega_0 + type: continuous + train_range: [1.1704952716827393, 16.124706268310547] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.32.17_5_3/ood_test.csv b/llm-srbench/lsrtransform/I.32.17_5_3/ood_test.csv new file mode 100644 index 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np.sqrt(np.pi) * np.sqrt(Pwr * c**3 * epsilon) / a diff --git a/llm-srbench/lsrtransform/I.32.5_0_1/id_test.csv b/llm-srbench/lsrtransform/I.32.5_0_1/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0f9ff6c42fa7327f5056b63fb873575366dd7513 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.5_0_1/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:549a4f625bde730e85bba3bc3bdd2a55b46721f27e296095bc7b20cf89440ba2 +size 1890522 diff --git a/llm-srbench/lsrtransform/I.32.5_0_1/metadata.yaml b/llm-srbench/lsrtransform/I.32.5_0_1/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1641363015909cad9635c383ebd2b3d5e176b119 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.5_0_1/metadata.yaml @@ -0,0 +1,53 @@ +dataset: + name: llm-srbench__lsrtransform__I.32.5_0_1 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Pwr + type: continuous + train_range: [0.0002717661263886, 8.69957160949707] + ood_range: [9.649906577979817e-06, 9.134951530794948] + - name: a + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000145015834712, 5.199997630565136] + - name: epsilon + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000293567045417, 5.199958951880038] + - name: c + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000048631534722, 5.1999720583271705] + + target: + name: q + type: continuous + train_range: [0.0429426953196525, 299.5481262207031] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.32.5_0_1/ood_test.csv b/llm-srbench/lsrtransform/I.32.5_0_1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b192a1615ab0c94917af48617435b80f7cb35974 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.5_0_1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d5a5c00efcf872ee7a252e93b93438e352745dae7f8322c366bbc2f60dca00c2 +size 1831395 diff --git a/llm-srbench/lsrtransform/I.32.5_0_1/package.tar.gz b/llm-srbench/lsrtransform/I.32.5_0_1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f1314be1bfdd69a86dd6e828343f25ce89c5a9b9 --- /dev/null +++ b/llm-srbench/lsrtransform/I.32.5_0_1/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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+ type: continuous + train_range: [1.1779974699020386, 11.881361961364746] + ood_range: [0.644022459747657, 12.435984383800172] + - name: c + type: continuous + train_range: [3.000119924545288, 9.999939918518066] + ood_range: [2.650186784575008, 10.34999445832178] + - name: v + type: continuous + train_range: [1.000012993812561, 1.9999779462814329] + ood_range: [0.9500095911248054, 2.049996088761475] + + target: + name: omega_0 + type: continuous + train_range: [0.4333387315273284, 10.656001091003418] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.34.1_2_0/ood_test.csv b/llm-srbench/lsrtransform/I.34.1_2_0/ood_test.csv new file mode 100644 index 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samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Int + type: continuous + train_range: [0.0027916652616113, 13.60624885559082] + ood_range: [-0.6770252746206885, 14.279797123731631] + - name: I2 + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000005299509884, 5.199964893318976] + - name: delta + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000194264355265, 5.199978404571059] + + target: + name: I1 + type: continuous + train_range: [0.2004038989543914, 31.47211647033692] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - 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b/llm-srbench/lsrtransform/I.37.4_1_1/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__lsrtransform__I.37.4_1_1 + description: + splits: + train: + file: train.csv + samples: 20006 + ratio: 3.20 + valid: + file: valid.csv + samples: 5000 + ratio: 0.80 + id_test: + file: id_test.csv + samples: 6251 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 6251 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Int + type: continuous + train_range: [0.0028310557827353, 9.884504318237305] + ood_range: [-0.4910491594646183, 0.0026084147527515] + - name: I1 + type: continuous + train_range: [1.0000848770141602, 4.999935626983643] + ood_range: [0.8000010454041672, 5.199951339700542] + - name: delta + type: continuous + train_range: [1.0002397298812866, 4.999388694763184] + ood_range: [0.80013289867556, 5.199954987092351] + + target: + name: I2 + type: continuous + train_range: [1.1560188362125244e-08, 13.714899063110352] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.37.4_1_1/ood_test.csv b/llm-srbench/lsrtransform/I.37.4_1_1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..6c8d4dfcb277d8cac8bba5c2240fa65dd6fb55c7 --- /dev/null +++ b/llm-srbench/lsrtransform/I.37.4_1_1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c51e12b4aff6426d1cfa29200b288d6e810488f7c213b8290b298e8a65534456 +size 475926 diff --git a/llm-srbench/lsrtransform/I.37.4_1_1/package.tar.gz b/llm-srbench/lsrtransform/I.37.4_1_1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0cfebb9fdd0df5846688681ca55381714cf32b4c --- /dev/null +++ b/llm-srbench/lsrtransform/I.37.4_1_1/package.tar.gz @@ 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ood_range: [0.8000606383131824, 5.199995152419982] + - name: x + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000194431037161, 5.1999969711869065] + - name: T + type: continuous + train_range: [1.0000371932983398, 4.9999871253967285] + ood_range: [0.8000308175002806, 5.199997102200907] + - name: kb + type: continuous + train_range: [1.0000877380371094, 4.999951362609863] + ood_range: [0.8000867945048178, 5.199989989523923] + + target: + name: g + type: continuous + train_range: [-15.257062911987305, 60.5870475769043] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.40.1_4_0/ood_test.csv b/llm-srbench/lsrtransform/I.40.1_4_0/ood_test.csv new file mode 100644 index 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20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: kappa + type: continuous + train_range: [0.0675648599863052, 13.20554542541504] + ood_range: [-0.5890111160569657, 13.856589728449594] + - name: kb + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000444212825725, 5.199963851134426] + - name: A + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000090962645161, 5.199973539634481] + - name: v + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000319274209444, 5.199983205270115] + + target: + name: gamma + type: continuous + train_range: [1.0199791193008425, 197.02505493164065] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - 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ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: E_n + type: continuous + train_range: [-122.59723663330078, 97.95694732666016] + ood_range: [-134.04961103493596, 109.04959672237192] + - name: n + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.800009227109917, 5.199992840883097] + - name: kb + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000140700113089, 5.199975038953404] + - name: T + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000055059392888, 5.199988379636811] + - name: V1 + type: continuous + train_range: [1.0000371932983398, 4.999997138977051] + ood_range: [0.8000056607632487, 5.199985358459068] + + target: + name: V2 + type: continuous + train_range: [3.803715099869805e-38, 1.3332837685485517e+29] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/I.44.4_4_0/ood_test.csv b/llm-srbench/lsrtransform/I.44.4_4_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..900e0f7a5e80ddf77f8dd93928f69b996ac28fd4 --- /dev/null +++ b/llm-srbench/lsrtransform/I.44.4_4_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:484002197c7fbd6db15ac46d745439d42ecc08e221fb27aee9d0c57c293363e4 +size 2263154 diff --git a/llm-srbench/lsrtransform/I.44.4_4_0/package.tar.gz b/llm-srbench/lsrtransform/I.44.4_4_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a712407159b54a7154fca59d145861c21c810708 --- /dev/null +++ b/llm-srbench/lsrtransform/I.44.4_4_0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.691855788230896, 10.927631378173828] + ood_range: [-1.2715966696232266, 11.479580530554236] + - name: x1 + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000039872824476, 3.0999956795214465] + - name: omega + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000045358594749, 3.099992642948015] + - name: t + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000052332772859, 3.099991112759344] + + target: + name: alpha + type: continuous + train_range: [-4307153.0, 5899128832.0] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - 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samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: n + type: continuous + train_range: [-9.144322395324709, 8.334019660949707] + ood_range: [-10.013487941360202, 9.203435110361369] + - name: n_0 + type: continuous + train_range: [1.00004243850708, 2.9999828338623047] + ood_range: [0.900000046307069, 3.099983843031461] + - name: kb + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000053682357123, 3.099997634246249] + - name: theta + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000007028924796, 3.099994159803816] + - name: p_d + type: continuous + train_range: [1.00001859664917, 2.9999985694885254] + ood_range: [0.9000016474183674, 3.09999751745692] + - name: Ef + type: continuous + train_range: [1.000043869018555, 2.999975681304932] + ood_range: [0.9000106223274863, 3.0999966230030167] + + target: + name: T + type: continuous + train_range: [-35980.3359375, 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* (n - n_0) / (n_0 * p_d * np.cos(theta)) diff --git a/llm-srbench/lsrtransform/II.11.17_5_0/id_test.csv b/llm-srbench/lsrtransform/II.11.17_5_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..df3d58e36c89445bbe95f00fa32e3151b1609eed --- /dev/null +++ b/llm-srbench/lsrtransform/II.11.17_5_0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4733a49765a4577b80228d9cbd915400563bc8cf38c89ba8617959e26354fa45 +size 2666764 diff --git a/llm-srbench/lsrtransform/II.11.17_5_0/metadata.yaml b/llm-srbench/lsrtransform/II.11.17_5_0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..af297ffb1d703596514cd5e9e50d9b622b3cfc48 --- /dev/null +++ b/llm-srbench/lsrtransform/II.11.17_5_0/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: llm-srbench__lsrtransform__II.11.17_5_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: n + type: continuous + train_range: [-9.144372940063477, 8.334019660949707] + ood_range: [-10.013416262128024, 9.203413580965874] + - name: n_0 + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000232897649979, 3.09999716316638] + - name: kb + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000028877446701, 3.099970940526488] + - name: T + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.90000916117216, 3.099990612432615] + - name: theta + type: continuous + train_range: [1.0000300407409668, 2.9999985694885254] + ood_range: [0.9000207405509097, 3.0999959421967063] + - name: p_d + type: continuous + train_range: [1.000043869018555, 2.999975681304932] + ood_range: 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+ train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Pol + type: continuous + train_range: [0.0001726542541291, 5.04319429397583] + ood_range: [-0.2517764507739587, 5.291980091602808] + - name: alpha + type: continuous + train_range: [1.713729761831928e-05, 0.9999913573265076] + ood_range: [-0.0499726601642511, 1.0499929441190168] + - name: epsilon + type: continuous + train_range: [1.000012993812561, 1.9999779462814329] + ood_range: [0.9500009878555838, 2.0499990841244937] + - name: Ef + type: continuous + train_range: [1.0000038146972656, 1.999996542930603] + ood_range: [0.9500022446323432, 2.049997522621883] + + target: + name: n + type: continuous + train_range: [5.730105840484612e-05, 41743.69140625] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.11.27_0_0/ood_test.csv b/llm-srbench/lsrtransform/II.11.27_0_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..6fbd7b8d62c50a5d013efa78ca3ceac93ffe724b --- /dev/null +++ b/llm-srbench/lsrtransform/II.11.27_0_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ef547e178d4b37ccb60f49476969a6cfe38c27762fccedcd06a4fce06a1ff51 +size 1930592 diff --git a/llm-srbench/lsrtransform/II.11.27_0_0/package.tar.gz b/llm-srbench/lsrtransform/II.11.27_0_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4cf7c56d94b2b676865d046f010b601d6d3137a5 --- /dev/null +++ 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name: Pol + type: continuous + train_range: [0.0001726542541291, 5.04319429397583] + ood_range: [-0.2518042945111077, 5.2919706021466455] + - name: n + type: continuous + train_range: [1.713729761831928e-05, 0.9999913573265076] + ood_range: [-0.0499810655506933, 1.0499957346564628] + - name: alpha + type: continuous + train_range: [1.304351371800294e-05, 0.9999779462814332] + ood_range: [-0.049979267909813, 1.0499908844356465] + - name: epsilon + type: continuous + train_range: [1.0000038146972656, 1.999996542930603] + ood_range: [0.9500256212231626, 2.0499981607770184] + + target: + name: Ef + type: continuous + train_range: [0.0002452771295793, 137408896.0] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git 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x + type: continuous + train_range: [0.0211700499057769, 1.0360513925552368] + ood_range: [-0.0297323861520889, 1.0909318149819474] + - name: q + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.900020451464597, 3.099995313932692] + - name: Ef + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000016124666638, 3.099992674718172] + - name: omega_0 + type: continuous + train_range: [3.0000076293945312, 4.999992847442627] + ood_range: [2.9000024442624515, 5.099991344864614] + - name: omega + type: continuous + train_range: [1.000009298324585, 1.9999992847442627] + ood_range: [0.950008963713892, 2.049996041303136] + + target: + name: m + type: continuous + train_range: [0.0510057508945465, 47.78951644897461] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - 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[-0.0214380857211335, 1.0905370320224914] + - name: q + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000030516126282, 3.099989920976224] + - name: Ef + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000083772449803, 3.099998310423555] + - name: m + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000019980457186, 3.0999883169136737] + - name: omega_0 + type: continuous + train_range: [3.000030040740967, 4.9999985694885245] + ood_range: [2.9000045171637314, 5.099996940874161] + + target: + name: omega + type: continuous + train_range: [0.0364340059459209, 4.943933963775635] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench 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Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.13.23_1_0/ood_test.csv b/llm-srbench/lsrtransform/II.13.23_1_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..61671bc560a1ba07a8646024f52691928a3a1500 --- /dev/null +++ b/llm-srbench/lsrtransform/II.13.23_1_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f52a29ea4180fa5b4fba1562e8645a989d9d0cd20b40d8ddd416d5702d0fa2fb +size 892940 diff --git a/llm-srbench/lsrtransform/II.13.23_1_0/package.tar.gz b/llm-srbench/lsrtransform/II.13.23_1_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5a357e76e58b1ceb73c3794f8999c876c050897c --- /dev/null +++ b/llm-srbench/lsrtransform/II.13.23_1_0/package.tar.gz @@ -0,0 +1,3 @@ +version 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E_n + type: continuous + train_range: [-10.578848838806152, 23.62149810791016] + ood_range: [-12.309864088655011, 25.309892290337533] + - name: p_d + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.800000677418819, 5.199960301169774] + - name: theta + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000135736193887, 5.199994559371646] + + target: + name: Ef + type: continuous + train_range: [-65902.3671875, 141349.5625] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.15.5_1_0/ood_test.csv b/llm-srbench/lsrtransform/II.15.5_1_0/ood_test.csv new file mode 100644 index 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id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Volt + type: continuous + train_range: [0.0049617900513112, 0.3869388997554779] + ood_range: [-0.0141415555700364, 0.4061002439428641] + - name: q + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000035042546002, 5.199960661985466] + - name: epsilon + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000082030833345, 5.199984482302235] + - name: v + type: continuous + train_range: [1.0000038146972656, 1.999996542930603] + ood_range: [0.9500196506955644, 2.0499943110304453] + - name: c + type: continuous + train_range: [3.0000650882720947, 9.999995231628418] + ood_range: [2.650069938821368, 10.349963960650202] + + target: + name: r + type: continuous + train_range: [0.0519773550331592, 83.60376739501953] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.21.32_2_0/ood_test.csv b/llm-srbench/lsrtransform/II.21.32_2_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..70f21fcf8803c052bdbb63935711745459addb28 --- /dev/null +++ b/llm-srbench/lsrtransform/II.21.32_2_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72203638cc05f7e910109778a1c2563adadd5aab85eda767f66767ac2070c8b8 +size 2283541 diff --git a/llm-srbench/lsrtransform/II.21.32_2_0/package.tar.gz b/llm-srbench/lsrtransform/II.21.32_2_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ebef730020e32732acb955642c58aa923d8d1121 --- /dev/null +++ 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sha256:39684348002686de0291d1cab82de56aa396817e0cc1ab87d005d20f2f0a02ca +size 555705 diff --git a/llm-srbench/lsrtransform/II.21.32_3_0/formula.py b/llm-srbench/lsrtransform/II.21.32_3_0/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..8eac5db87e02fc262879ff7a63daa80394665016 --- /dev/null +++ b/llm-srbench/lsrtransform/II.21.32_3_0/formula.py @@ -0,0 +1,2 @@ +def v(Volt, q, epsilon, r, c): + return c - c * q / (4 * np.pi * Volt * epsilon * r) diff --git a/llm-srbench/lsrtransform/II.21.32_3_0/id_test.csv b/llm-srbench/lsrtransform/II.21.32_3_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..694e9be67ddb89038ca58cafc8dddac351e1381a --- /dev/null +++ b/llm-srbench/lsrtransform/II.21.32_3_0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b1bafdf45017dd8ebbf9ee8e91f3117e7e9fb92e06c9712c70e6280eaf2713a1 +size 2293688 diff --git a/llm-srbench/lsrtransform/II.21.32_3_0/metadata.yaml 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ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: k + type: continuous + train_range: [1.5988935232162476, 5.868702411651611] + ood_range: [1.3865035142573388, 6.08348511986186] + - name: c + type: continuous + train_range: [1.000017166137695, 1.9999914169311523] + ood_range: [0.9500085682842002, 2.0499847866786425] + - name: d + type: continuous + train_range: [2.000025987625122, 3.9999558925628658] + ood_range: [1.9000011265343133, 4.099997481983676] + + target: + name: omega + type: continuous + train_range: [1.8147628307342527, 12.030722618103027] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.24.17_0_1/ood_test.csv 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train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: k + type: continuous + train_range: [1.5988935232162476, 5.868702411651611] + ood_range: [1.386535598594334, 6.083491978181932] + - name: omega + type: continuous + train_range: [4.000034332275392, 5.999982833862305] + ood_range: [3.900002146128564, 6.099987884777218] + - name: d + type: continuous + train_range: [2.000025987625122, 3.9999558925628658] + ood_range: [1.90000057879856, 4.0999920393822205] + + target: + name: c + type: continuous + train_range: [0.6684999465942382, 3.350017070770264] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - 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train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: E_n + type: continuous + train_range: [6.758749008178711, 2590.955322265625] + ood_range: [-122.4118644143673, 2719.160985646957] + - name: h + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000183366184479, 5.199999000389882] + - name: Jz + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000341656513159, 5.199990557503856] + - name: mom + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000187569163135, 5.199982830195075] + - name: B + type: continuous + train_range: [1.0000371932983398, 4.999997138977051] + ood_range: [0.8000057144572431, 5.1999917638333] + + target: + 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4.999965667724609] + ood_range: [0.800019880977852, 5.199974783211978] + - name: h + type: continuous + train_range: [1.0000522136688232, 4.999896049499512] + ood_range: [0.8000161592857442, 5.199998411555103] + - name: mom + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000212343696453, 5.199963693610125] + - name: B + type: continuous + train_range: [1.0000371932983398, 4.999997138977051] + ood_range: [0.8000037835033377, 5.19998639368643] + + target: + name: Jz + type: continuous + train_range: [0.0236036628484725, 1247.4884033203125] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.34.29b_2_0/ood_test.csv b/llm-srbench/lsrtransform/II.34.29b_2_0/ood_test.csv new 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b/llm-srbench/lsrtransform/II.34.2_1_0/formula.py @@ -0,0 +1,2 @@ +def v(mom, q, r): + return 2 * mom / (q * r) diff --git a/llm-srbench/lsrtransform/II.34.2_1_0/id_test.csv b/llm-srbench/lsrtransform/II.34.2_1_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..41259b35b8e51497099113da70fdb961e6a48724 --- /dev/null +++ b/llm-srbench/lsrtransform/II.34.2_1_0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e2d0553aaae4a35d87fd48a2e2e26701deb69b2f1a218546ded6b22c3a728dee +size 1511443 diff --git a/llm-srbench/lsrtransform/II.34.2_1_0/metadata.yaml b/llm-srbench/lsrtransform/II.34.2_1_0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b489f6145df5fd19d04b1a2df02c57ac375dc3e5 --- /dev/null +++ b/llm-srbench/lsrtransform/II.34.2_1_0/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__lsrtransform__II.34.2_1_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: mom + type: continuous + train_range: [1.0240371227264404, 58.48762893676758] + ood_range: [-1.8529938056844788, 61.37394552260487] + - name: q + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000461175171694, 5.199993042800987] + - name: r + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000034831954655, 5.199981323125482] + + target: + name: v + type: continuous + train_range: [0.0852283984422683, 108.61114501953124] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - 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[2.537153192067043e-06, 1.532642842937153] + - name: n_0 + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9001144726339795, 3.0999797265593214] + - name: kb + type: continuous + train_range: [1.0000342130661013, 2.999948024749756] + ood_range: [0.9000172262036225, 3.099999620071616] + - name: mom + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000186283230731, 3.099985222180985] + - name: B + type: continuous + train_range: [1.00001859664917, 2.9999985694885254] + ood_range: [0.9000056527998159, 3.0999915685301582] + + target: + name: T + type: continuous + train_range: [0.0732221975922584, 355.97171020507807] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff 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[3.908998246218709e-06, 1.532650565479116] + - name: n_0 + type: continuous + train_range: [1.00004243850708, 2.9999828338623047] + ood_range: [0.9001507049741597, 3.099992920707374] + - name: kb + type: continuous + train_range: [1.0000342130661013, 2.999948024749756] + ood_range: [0.9000089788512635, 3.099972029643875] + - name: T + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000121972664661, 3.099980599973854] + - name: mom + type: continuous + train_range: [1.00001859664917, 2.9999985694885254] + ood_range: [0.9000003555481155, 3.0999987685303125] + + target: + name: B + type: continuous + train_range: [0.0133077213540673, 45.439208984375] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git 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2.9999828338623047] + ood_range: [0.9000047433446672, 3.0999868669868462] + - name: kb + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000029483924227, 3.0999733009175685] + - name: T + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.900001462100214, 3.099970598337549] + - name: alpha + type: continuous + train_range: [1.00001859664917, 2.9999935626983643] + ood_range: [0.9000050769846323, 3.0999890842191182] + - name: epsilon + type: continuous + train_range: [1.000043869018555, 2.999975681304932] + ood_range: [0.9000083710136602, 3.0999947629940325] + - name: c + type: continuous + train_range: [1.0000056028366089, 2.999988079071045] + ood_range: [0.9000245954351731, 3.0999959185553574] + - name: M + type: continuous + train_range: [1.0000028610229492, 2.9999985694885254] + ood_range: [0.9000026695776545, 3.099989954618203] + + target: + name: H + type: continuous + train_range: [0.2411857843399047, 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continuous + train_range: [1.000031590461731, 2.999955892562866] + ood_range: [0.9000028103698273, 3.0999917756858064] + - name: kb + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000072762447258, 3.099982826109084] + - name: alpha + type: continuous + train_range: [1.00001859664917, 2.9999985694885254] + ood_range: [0.900004376205864, 3.0999945820409973] + - name: epsilon + type: continuous + train_range: [1.000043869018555, 2.999975681304932] + ood_range: [0.9000075277183132, 3.0999879746951238] + - name: c + type: continuous + train_range: [1.0000056028366089, 2.999988079071045] + ood_range: [0.9000024808750956, 3.0999977779678645] + - name: M + type: continuous + train_range: [1.0000147819519043, 2.9999985694885254] + ood_range: [0.9000232472623148, 3.099972620167429] + + target: + name: T + type: continuous + train_range: [-21.44656753540039, 36.62345123291016] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.36.38_3_0/ood_test.csv b/llm-srbench/lsrtransform/II.36.38_3_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c8e42a55e281287d9300e9203f21c01042e666c0 --- /dev/null +++ b/llm-srbench/lsrtransform/II.36.38_3_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc2a25ae053ad2179a0c98c91e8008cd12e6c439340ed48d191fc404f49e61d5 +size 3403258 diff --git a/llm-srbench/lsrtransform/II.36.38_3_0/package.tar.gz b/llm-srbench/lsrtransform/II.36.38_3_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b0e1b4482bebd7c0541c161914e6efba16cc1d97 --- /dev/null +++ b/llm-srbench/lsrtransform/II.36.38_3_0/package.tar.gz @@ -0,0 +1,3 @@ +version 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train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000069161975098, 3.099983911893464] + - name: T + type: continuous + train_range: [1.00001859664917, 2.9999985694885254] + ood_range: [0.9000019699996595, 3.0999709150834702] + - name: alpha + type: continuous + train_range: [1.000043869018555, 2.999975681304932] + ood_range: [0.9000004407653126, 3.0999934325668583] + - name: c + type: continuous + train_range: [1.0000338554382324, 2.999988079071045] + ood_range: [0.9000079817892116, 3.0999728897468364] + - name: M + type: continuous + train_range: [1.0000028610229492, 2.9999985694885254] + ood_range: [0.9000319394935724, 3.099999755161668] + + target: + name: epsilon + type: continuous + train_range: [-6566.779296875, 14596.9560546875] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench 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b/llm-srbench/lsrtransform/II.36.38_7_0/metadata.yaml @@ -0,0 +1,69 @@ +dataset: + name: llm-srbench__lsrtransform__II.36.38_7_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: f + type: continuous + train_range: [0.1887260377407074, 11.236462593078612] + ood_range: [-0.3614755289733438, 11.750380986674328] + - name: mom + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000131805897936, 3.099997960355091] + - name: H + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000003547377913, 3.0999924122330142] + - name: kb + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000103623196737, 3.099997454608167] + - name: T + type: continuous + train_range: [1.00001859664917, 2.9999985694885254] + ood_range: [0.9000007296903216, 3.099988726165925] + - name: alpha + type: continuous + train_range: [1.000043869018555, 2.999974250793457] + ood_range: [0.9000046187408696, 3.099998547274182] + - name: epsilon + type: continuous + train_range: [1.0000056028366089, 2.999988079071045] + ood_range: [0.9000086833693385, 3.09999041079664] + - name: c + type: continuous + train_range: [1.0000028610229492, 2.9999985694885254] + ood_range: [0.900006460468478, 3.099995853172736] + + target: + name: M + type: continuous + train_range: [-1250.6907958984375, 42.764198303222656] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git 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llm-srbench__lsrtransform__II.37.1_0_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: E_n + type: continuous + train_range: [3.2260167598724365, 132.4822998046875] + ood_range: [-3.207982930832254, 138.4374239455776] + - name: B + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000037429600978, 5.199925994065884] + - name: chi + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000177864614004, 5.199998530792675] + + target: + name: mom + type: continuous + train_range: [0.1111445426940918, 63.042964935302734] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.37.1_0_0/ood_test.csv b/llm-srbench/lsrtransform/II.37.1_0_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a4bd860323ee2634c1ce1978c49edeee97720f18 --- /dev/null +++ b/llm-srbench/lsrtransform/II.37.1_0_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1af04868f829467b18a23025b613e3b9550c501ba4eea0cefc9fbbcebac6fa49 +size 1503763 diff --git a/llm-srbench/lsrtransform/II.37.1_0_0/package.tar.gz b/llm-srbench/lsrtransform/II.37.1_0_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9babcba14a463693b566e1c4b35fc088fa9f4b23 --- /dev/null +++ b/llm-srbench/lsrtransform/II.37.1_0_0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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[-0.1812064579521627, 3.8324310922181697] + - name: epsilon + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000210473874791, 3.099999889410295] + - name: r + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.900000813206545, 3.0999838409374814] + - name: x + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000050378272193, 3.09999030105863] + - name: y + type: continuous + train_range: [1.0000300407409668, 2.9999985694885254] + ood_range: [0.9000210445277462, 3.0999845772228865] + - name: z + type: continuous + train_range: [1.000043869018555, 2.999975681304932] + ood_range: [0.9000151218335054, 3.099992586628056] + + target: + name: p_d + type: continuous + train_range: [0.0019468886312097, 4372.85302734375] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.6.15a_1_0/ood_test.csv b/llm-srbench/lsrtransform/II.6.15a_1_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cb47ad5c32ad0106f359d47af175e273a9dcbf06 --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15a_1_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e792a25d9fc4229aab26266070beea4e394c5c67b409ad295991ab55b863545 +size 2652579 diff --git a/llm-srbench/lsrtransform/II.6.15a_1_0/package.tar.gz b/llm-srbench/lsrtransform/II.6.15a_1_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..d5d8c293c6b54575c6316b6255c3d2aef4642d53 --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15a_1_0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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+ - name: Ef + type: continuous + train_range: [0.0034275520592927, 3.654339075088501] + ood_range: [-0.1788765595488018, 3.832323140101043] + - name: epsilon + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000062696900308, 3.09999810938009] + - name: p_d + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000023040079472, 3.0999913733533164] + - name: r + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000058246541957, 3.099996409594077] + - name: x + type: continuous + train_range: [1.00001859664917, 2.9999985694885254] + ood_range: [0.9000014544645116, 3.0999993047274867] + - name: z + type: continuous + train_range: [1.000043869018555, 2.999975681304932] + ood_range: [0.900005866912981, 3.099999770846272] + + target: + name: y + type: continuous + train_range: [0.0703790932893753, 6771.70751953125] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.6.15a_4_1/ood_test.csv b/llm-srbench/lsrtransform/II.6.15a_4_1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..eefe80f7c4560244c783f6f6d40471cf526be3da --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15a_4_1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:012dc48dde3b4c56314bb43d804a0e2545054d90c1b2d74db53737de65652b82 +size 2533380 diff --git a/llm-srbench/lsrtransform/II.6.15a_4_1/package.tar.gz b/llm-srbench/lsrtransform/II.6.15a_4_1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..625701e55a0f0041a7cc850b21dbad63025b285b --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15a_4_1/package.tar.gz @@ -0,0 +1,3 @@ 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* Ef * epsilon * r**3 / (3 * np.sin(2 * theta)) diff --git a/llm-srbench/lsrtransform/II.6.15b_1_0/id_test.csv b/llm-srbench/lsrtransform/II.6.15b_1_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d45bc4bff9d001c0baa719b3701d9e89bb4d690a --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15b_1_0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75725418f219c8da19d713e2e7dc41cc9832dce84774227d821367e8e3d32364 +size 1946602 diff --git a/llm-srbench/lsrtransform/II.6.15b_1_0/metadata.yaml b/llm-srbench/lsrtransform/II.6.15b_1_0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..14caf5299bb398fb91aa92e60be43c8be829aff5 --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15b_1_0/metadata.yaml @@ -0,0 +1,53 @@ +dataset: + name: llm-srbench__lsrtransform__II.6.15b_1_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: Ef + type: continuous + train_range: [-0.1779660433530807, 0.1037910804152488] + ood_range: [-0.1920984305337152, 0.118098209526896] + - name: epsilon + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000059729510286, 3.0999941696131663] + - name: theta + type: continuous + train_range: [1.0000261068344116, 2.999955892562866] + ood_range: [0.9000084345850397, 3.099992530569323] + - name: r + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000039205432574, 3.0999993706915574] + + target: + name: p_d + type: continuous + train_range: [-3467218.25, 1196516.625] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/II.6.15b_1_0/ood_test.csv b/llm-srbench/lsrtransform/II.6.15b_1_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b744e1e62c3391c87a17c226c6b184e9df198887 --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15b_1_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e40857c4bb1fe9a9e2a068f081a07637f72083c3d2727e58cbb877d54bdeca57 +size 1905194 diff --git a/llm-srbench/lsrtransform/II.6.15b_1_0/package.tar.gz b/llm-srbench/lsrtransform/II.6.15b_1_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e446a448f7b68f532d05718c9d605937f6cbc2a8 --- /dev/null +++ b/llm-srbench/lsrtransform/II.6.15b_1_0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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ratio: 0.34 + id_test: + file: id_test.csv + samples: 14753 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 14753 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: E_n + type: continuous + train_range: [3.4053230285644527, 41.0571517944336] + ood_range: [1.5272173053635385, 42.98445378056123] + - name: mom + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000049976713441, 5.199918766641341] + - name: Bx + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000217902744144, 5.199886436742821] + - name: Bz + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000006157063575, 5.199984301830538] + + target: + name: By + type: continuous + train_range: [0.0400800555944442, 40.04063415527344] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language 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+ - name: m + type: continuous + train_range: [0.0001349846570519, 0.1684025377035141] + ood_range: [-0.0082575229597484, 0.1763916079330615] + - name: h + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000064581175974, 5.199991091831347] + - name: d + type: continuous + train_range: [1.0000522136688232, 4.999896049499512] + ood_range: [0.8000147417708429, 5.199982820360436] + + target: + name: E_n + type: continuous + train_range: [0.0034000589512288, 664.4973754882812] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/III.15.14_1_0/ood_test.csv b/llm-srbench/lsrtransform/III.15.14_1_0/ood_test.csv new file mode 100644 index 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file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: k + type: continuous + train_range: [0.3088829219341278, 26.021636962890625] + ood_range: [-0.975549865149741, 27.284436385440223] + - name: alpha + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000017240993041, 5.19996457596072] + - name: d + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000717093067595, 5.199999609924245] + + target: + name: n + type: continuous + train_range: [0.0530555434525012, 78.35617065429686] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git 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@@ +dataset: + name: llm-srbench__lsrtransform__III.21.20_3_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: j + type: continuous + train_range: [-87.5830078125, -0.435838371515274] + ood_range: [-91.95805196922564, 3.922131159470932] + - name: rho_c_0 + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000273610025845, 5.1999961743792245] + - name: q + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000258140768133, 5.199940384961551] + - name: A_vec + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000092755868757, 5.199926825494688] + + target: + name: m + type: continuous + train_range: 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sha256:bd10b5c1f0d99384e689fddbe5a7df66ec957ecfeb575facb419b497261c5688 +size 1890585 diff --git a/llm-srbench/lsrtransform/III.4.33_3_0/metadata.yaml b/llm-srbench/lsrtransform/III.4.33_3_0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ab9a1dd7f89ae6dec2baaafbe98a86eabd0dafee --- /dev/null +++ b/llm-srbench/lsrtransform/III.4.33_3_0/metadata.yaml @@ -0,0 +1,53 @@ +dataset: + name: llm-srbench__lsrtransform__III.4.33_3_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: E_n + type: continuous + train_range: [0.3271674513816833, 23.89778518676757] + ood_range: [-0.851533277386956, 25.078639341108484] + - name: h + type: continuous + train_range: [1.0000685453414917, 4.999965667724609] + ood_range: [0.8000052966268656, 5.199998702123859] + - name: omega + type: continuous + train_range: [1.0000522136688232, 4.999911785125732] + ood_range: [0.8000037031612827, 5.199990703094409] + - name: kb + type: continuous + train_range: [1.0000152587890625, 4.999986171722412] + ood_range: [0.8000032491059537, 5.199925121641533] + + target: + name: T + type: continuous + train_range: [0.1098192855715751, 24.70158576965332] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/III.4.33_3_0/ood_test.csv b/llm-srbench/lsrtransform/III.4.33_3_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5172a3b15dcc8fc4254025120cb65dfd22067189 --- /dev/null +++ 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(omega - omega_0)))) diff --git a/llm-srbench/lsrtransform/III.9.52_0_0/id_test.csv b/llm-srbench/lsrtransform/III.9.52_0_0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..46ace512053f578deb0f78945a4f92f201e6f6da --- /dev/null +++ b/llm-srbench/lsrtransform/III.9.52_0_0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ac809ede2c927d0d51794ff43926eebb629ff3e2af47ed3ed62209e16fb9006 +size 2642100 diff --git a/llm-srbench/lsrtransform/III.9.52_0_0/metadata.yaml b/llm-srbench/lsrtransform/III.9.52_0_0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2e67a5d8bea1442bf78e7017a9ec8f5a1d1443c3 --- /dev/null +++ b/llm-srbench/lsrtransform/III.9.52_0_0/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: llm-srbench__lsrtransform__III.9.52_0_0 + description: + splits: + train: + file: train.csv + samples: 75000 + ratio: 3.75 + valid: + file: valid.csv + samples: 5000 + ratio: 0.25 + id_test: + file: id_test.csv + samples: 20000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: prob + type: continuous + train_range: [0.000684113940224, 109.68968200683594] + ood_range: [-5.498929974194796, 115.49973464026938] + - name: Ef + type: continuous + train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000081756416862, 3.099994342834263] + - name: t + type: continuous + train_range: [1.000031590461731, 2.999955892562866] + ood_range: [0.9000028732995169, 3.0999686519605767] + - name: h + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000021443648486, 3.0999870133821883] + - name: omega + type: continuous + train_range: [1.0000371932983398, 4.9999871253967285] + ood_range: [0.8000039485161919, 5.199985349881001] + - name: omega_0 + type: continuous + train_range: [1.0000877380371094, 4.999951362609863] + ood_range: [0.8000678423903518, 5.199974789670548] + + target: + name: p_d + type: continuous + train_range: [0.0001072313825716, 6120004608.0] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/III.9.52_0_0/ood_test.csv b/llm-srbench/lsrtransform/III.9.52_0_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..64bcbab6c62e0ac69f6121b6b29f21569a256967 --- /dev/null +++ b/llm-srbench/lsrtransform/III.9.52_0_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9826d2e5ea07deebde1c6b74bdfafee1e900d8c6fc9dd536f6ca3108e7668896 +size 2626735 diff --git a/llm-srbench/lsrtransform/III.9.52_0_0/package.tar.gz b/llm-srbench/lsrtransform/III.9.52_0_0/package.tar.gz new file mode 100644 index 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train_range: [1.0000343322753906, 2.9999828338623047] + ood_range: [0.9000065966553422, 3.0999988099593203] + - name: t + type: continuous + train_range: [1.0000261068344116, 2.999948024749756] + ood_range: [0.9000128014311097, 3.099997067095696] + - name: h + type: continuous + train_range: [1.0000076293945312, 2.999993085861206] + ood_range: [0.9000027809026074, 3.099993043983609] + - name: omega + type: continuous + train_range: [1.0000371932983398, 4.999997138977051] + ood_range: [0.8000253299020089, 5.199997745281962] + - name: omega_0 + type: continuous + train_range: [1.0000877380371094, 4.999951362609863] + ood_range: [0.8000303824411518, 5.199995635500242] + + target: + name: Ef + type: continuous + train_range: [0.0001072313825716, 6120004608.0] + ood_range: + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/lsrtransform/III.9.52_1_0/ood_test.csv b/llm-srbench/lsrtransform/III.9.52_1_0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7af84da321d79a9d03e746ef32c01cd7d5e25672 --- /dev/null +++ b/llm-srbench/lsrtransform/III.9.52_1_0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a75a2aae96f9b347438d059b3e5b15a733b2b7d5ac1c2c2fa2bbbc1a68e41064 +size 2626846 diff --git a/llm-srbench/lsrtransform/III.9.52_1_0/package.tar.gz b/llm-srbench/lsrtransform/III.9.52_1_0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..08f36b299b7ef93f0f63a243a4c39f567d576476 --- /dev/null +++ b/llm-srbench/lsrtransform/III.9.52_1_0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e50fefe332501f85182bba7890ec28b4fed820ad538dbccdae513f44f786567 +size 7124268 diff --git 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0000000000000000000000000000000000000000..256d4ee06562e42a4eda7daf18b2803111d64473 --- /dev/null +++ b/llm-srbench/matsci/MatSci0/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 31.119982052994235 * epsilon * (-0.05295088673159155 * (T - 316.1945018642116) + 1) - 0.22554447458683766 * (T - 316.1945018642116) + epsilon**0.5975773894779193 * 3.629301836816963 * (T - 316.1945018642116) diff --git a/llm-srbench/matsci/MatSci0/id_test.csv b/llm-srbench/matsci/MatSci0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5707e8bd35520c94989c22901c23d8effbd3093d --- /dev/null +++ b/llm-srbench/matsci/MatSci0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:02b81401b09fe4682faaeeaba92fe74c39969796c2925bd46ca62019aadec286 +size 28824 diff --git a/llm-srbench/matsci/MatSci0/metadata.yaml b/llm-srbench/matsci/MatSci0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8ec9e29881c3308110493c6625ec6838515fa363 --- /dev/null +++ b/llm-srbench/matsci/MatSci0/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci0 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-4.294404983520508, 333.40875244140625] + ood_range: [333.5270690917969, 393.6878051757813] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci0/ood_test.csv b/llm-srbench/matsci/MatSci0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..634f6dc16decbba1d062b5a5d3405b69c201bd16 --- /dev/null +++ b/llm-srbench/matsci/MatSci0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2805243324da571438b553f2a3d2dfb1400d32039264170d57cc426f67ef0aa8 +size 28225 diff --git a/llm-srbench/matsci/MatSci0/package.tar.gz b/llm-srbench/matsci/MatSci0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..31b445e308391af19446036288f43c02a972e34d --- /dev/null +++ b/llm-srbench/matsci/MatSci0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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0000000000000000000000000000000000000000..e52ded9969d93002f77eae49777294efe9d8946c --- /dev/null +++ b/llm-srbench/matsci/MatSci1/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci1 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.0, 49.44459915161133] + ood_range: [45.51563262939453, 51.431350708007805] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci1/ood_test.csv b/llm-srbench/matsci/MatSci1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..779b2da1918950c9431c8d9e14d71e33302ec124 --- /dev/null +++ b/llm-srbench/matsci/MatSci1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:74ae2e2372a3372ca273dbf8d9cc411b8a23cde07dbbcd86845a26a93042ab10 +size 28349 diff --git a/llm-srbench/matsci/MatSci1/package.tar.gz b/llm-srbench/matsci/MatSci1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ebc9d8e3c6b151f5723110afeade79cf62cb78d5 --- /dev/null +++ b/llm-srbench/matsci/MatSci1/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3f8e059f50fed1c40c10fbafe338844f4871e5badd76b81266e226a5ca43ae33 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0000000000000000000000000000000000000000..4e446bb07aa98e06bb8b241e5db14c2e44226469 --- /dev/null +++ b/llm-srbench/matsci/MatSci10/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 7.722936175676248*epsilon**3 + 36.65887349971503*epsilon**0.2143544613866963*np.exp(-82.43745550530616/(8.314*T)) + epsilon*1.3361336987429298*(T - 327.2644634707577)**2 diff --git a/llm-srbench/matsci/MatSci10/id_test.csv b/llm-srbench/matsci/MatSci10/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f2ec61687886435eaadc7834f516006c657bf2b3 --- /dev/null +++ b/llm-srbench/matsci/MatSci10/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9306e671cc710d92e8a9f201fdf227fd6aa43e5acfcb991dd9bb67cbad4792b9 +size 27818 diff --git a/llm-srbench/matsci/MatSci10/metadata.yaml b/llm-srbench/matsci/MatSci10/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..58d32e38541d91aa7bfe7d7cb71690463ef2d103 --- /dev/null +++ b/llm-srbench/matsci/MatSci10/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci10 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.0, 33610.63671875] + ood_range: [33636.7890625, 48444.1875] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci10/ood_test.csv b/llm-srbench/matsci/MatSci10/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..830b664418f3bb22ef2db3e0a9165cfa54d0a31a --- /dev/null +++ b/llm-srbench/matsci/MatSci10/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:48bc4415287e038f09922c298a4f2b78765244f74401ee3a3ce5edd3fd358bd8 +size 25892 diff --git a/llm-srbench/matsci/MatSci10/package.tar.gz b/llm-srbench/matsci/MatSci10/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..48d56ac5a0b9e317cbcb6df204909e0a5a77c383 --- /dev/null +++ b/llm-srbench/matsci/MatSci10/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8d51371ab2dbae16158f0a7d752a313455d280d6d923f2ca9b9c9991dff09c94 +size 115130 diff --git 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0000000000000000000000000000000000000000..7b61bc8e1b4862379fe62b7ad37fcceb2f7b5c9a --- /dev/null +++ b/llm-srbench/matsci/MatSci11/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 61.560353877200875 * epsilon**0.47764005618501093 * np.exp(-55.88105119862867 / (8.314 * T)) + epsilon**3 * 7.641072250261916 * (T - 344.4595922700062) diff --git a/llm-srbench/matsci/MatSci11/id_test.csv b/llm-srbench/matsci/MatSci11/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab5c34d7edf908095984b9e4fae2964a64e43b2c --- /dev/null +++ b/llm-srbench/matsci/MatSci11/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c9c29c483fa4970ba30e26fa97c2f9c08d9140fcec1f81ce8a6f27fb5023fd9 +size 28691 diff --git a/llm-srbench/matsci/MatSci11/metadata.yaml b/llm-srbench/matsci/MatSci11/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..73c45166f00107ffcb784b11946f31ce4bd6d0fc --- /dev/null +++ b/llm-srbench/matsci/MatSci11/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci11 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.0, 284.1597595214844] + ood_range: [284.39617919921875, 424.86920166015625] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci11/ood_test.csv b/llm-srbench/matsci/MatSci11/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c45e99f367d2d419196939dcd028b85a268bfbc2 --- /dev/null +++ b/llm-srbench/matsci/MatSci11/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ae962659f0e1adcf8ff9fa646047342693556666e6d0cd7d6adb74262e69ca8 +size 28157 diff --git a/llm-srbench/matsci/MatSci11/package.tar.gz b/llm-srbench/matsci/MatSci11/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a1f3ee668a720212740a998e23e3bf659cdd4463 --- /dev/null +++ b/llm-srbench/matsci/MatSci11/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cb38b5a5161d2ae2683b9ef30176de623d79005f4fce18d3cc1d72de59191d78 +size 121476 diff --git 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0000000000000000000000000000000000000000..bbe10cab97891b6fd15d8b08457988ae85b44864 --- /dev/null +++ b/llm-srbench/matsci/MatSci12/formula.py @@ -0,0 +1,4 @@ +def sigma(epsilon, T): + return (3.6246197436205594 * epsilon * (-0.05899178254607287 * (T - 367.02302414249573) + 1) + + 94.20501606887599 * epsilon**0.44749237402069686 * np.exp(-55.01606214227756 / (8.314 * T)) + + epsilon * 5.12427601442365 * np.exp(-(T - 367.02302414249573)**2)) diff --git a/llm-srbench/matsci/MatSci12/id_test.csv b/llm-srbench/matsci/MatSci12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..49dd1d7a1401d3026f4d7e21e5a4f86466ae50b9 --- /dev/null +++ b/llm-srbench/matsci/MatSci12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20b09308a4caed35df1464f5c68f4792eb251d3fd78a625a2a4653e70fa760f3 +size 28713 diff --git a/llm-srbench/matsci/MatSci12/metadata.yaml b/llm-srbench/matsci/MatSci12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a101eaeb427a94b1af08a255e4f486f410e9bcba --- /dev/null +++ b/llm-srbench/matsci/MatSci12/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci12 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5398679971694946] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9339599609375] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.0, 54.14102935791016] + ood_range: [49.843215942382805, 52.27132415771485] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci12/ood_test.csv b/llm-srbench/matsci/MatSci12/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0808813bc62693807dec12d55ee7c4ad1be84420 --- /dev/null +++ b/llm-srbench/matsci/MatSci12/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fec068d702728c8e53fef8458071e17edda21c4bd074ec145c8fdb79fad149d +size 28378 diff --git a/llm-srbench/matsci/MatSci12/package.tar.gz b/llm-srbench/matsci/MatSci12/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..abd1d77e7f3ddc98951fd24d3885647fd7ebd2a7 --- /dev/null +++ b/llm-srbench/matsci/MatSci12/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/llm-srbench/matsci/MatSci13/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci13 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-148.38697814941406, 15.142996788024902] + ood_range: [-166.56100463867188, -148.42332458496094] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci13/ood_test.csv b/llm-srbench/matsci/MatSci13/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b87272a23982ae21d82c500f864863e9de3ffe96 --- /dev/null +++ b/llm-srbench/matsci/MatSci13/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8b789d7ace87053ec65a56ddc136925fce2572dc03b726bcaf7ddf4d7d186af +size 28814 diff --git a/llm-srbench/matsci/MatSci13/package.tar.gz b/llm-srbench/matsci/MatSci13/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..43d522e1beff1e6c42fac70b9331a876a00b6bd4 --- /dev/null +++ b/llm-srbench/matsci/MatSci13/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3ccf08eac4d8b0a834c2413210d3a9a7080340980d86c07336642fdb17f9d554 +size 122161 diff --git 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+1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci14 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5398679971694946] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9339599609375] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-0.2960639297962188, 92.89824676513672] + ood_range: [93.01153564453124, 123.11785888671876] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci14/ood_test.csv b/llm-srbench/matsci/MatSci14/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..acd1647b6ebecde6f961a2dec59fa3b5fee0fba5 --- /dev/null +++ b/llm-srbench/matsci/MatSci14/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be961673e5cf9943f1ec80d96bd941db34ff835cd686e7bf2a48eb7d2bea37f7 +size 28367 diff --git a/llm-srbench/matsci/MatSci14/package.tar.gz b/llm-srbench/matsci/MatSci14/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b515163ddfdb98f7ce3014ddc065872d558b9eb1 --- /dev/null +++ b/llm-srbench/matsci/MatSci14/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4571347efbf82e73c13f3495900205a4cc3cccb2ff95be9fcc05e2227f86c02 +size 124256 diff --git a/llm-srbench/matsci/MatSci14/train.csv b/llm-srbench/matsci/MatSci14/train.csv new file mode 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sigma(epsilon, T): + return 55.831574155730756 * epsilon * (-0.0969609510262908 * (T - 325.3097844170149) + 1) + epsilon * 6.648022720756571 * np.exp(-(T - 325.3097844170149)**2) diff --git a/llm-srbench/matsci/MatSci16/id_test.csv b/llm-srbench/matsci/MatSci16/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8135ac26b3af989f2166b4fdfc575913e27b5075 --- /dev/null +++ b/llm-srbench/matsci/MatSci16/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7b05e3134eb0603d66558817042ac3de4d1f1be26159c94b69befcd4abba1f45 +size 29001 diff --git a/llm-srbench/matsci/MatSci16/metadata.yaml b/llm-srbench/matsci/MatSci16/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ad360896616d53da022d416b1e41eeec0e9aeb5e --- /dev/null +++ b/llm-srbench/matsci/MatSci16/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci16 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-606.1895141601562, 10.61491584777832] + ood_range: [-771.0210571289062, -606.4996948242188] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci16/ood_test.csv 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/dev/null +++ b/llm-srbench/matsci/MatSci16/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8de7ddfc065e0158d02b3340144166f213e5049ddeee1c8ef3624dccbe01680b +size 195111 diff --git a/llm-srbench/matsci/MatSci16/valid.csv b/llm-srbench/matsci/MatSci16/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..3d4f519999c40f0a212f3eb49bd0fb81ad195983 --- /dev/null +++ b/llm-srbench/matsci/MatSci16/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e29b59017afa1a86db9ac491c337bcadf7b032bcc27f4c02ff11a43c7849282b +size 27860 diff --git a/llm-srbench/matsci/MatSci18/formula.py b/llm-srbench/matsci/MatSci18/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..e577137d324a74ceeb1bec8ade2e534b2e012863 --- /dev/null +++ b/llm-srbench/matsci/MatSci18/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 2.353524517872731 * epsilon**2 + epsilon * 6.266345790929248 * (T - 342.1714397168912)**2 diff --git a/llm-srbench/matsci/MatSci18/id_test.csv b/llm-srbench/matsci/MatSci18/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4146b72a54a07c6fb4a16cec3bc0d0e86e37de41 --- /dev/null +++ b/llm-srbench/matsci/MatSci18/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:704e03c69cbe1a4ea575c6770ad88ae38b23c6f512fe67f5369cee36939deba1 +size 27357 diff --git a/llm-srbench/matsci/MatSci18/metadata.yaml b/llm-srbench/matsci/MatSci18/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..40476c8e183b7e59c3b9479f5590d9869e605abe --- /dev/null +++ b/llm-srbench/matsci/MatSci18/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci18 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.0, 136466.375] + ood_range: [136578.296875, 200330.25] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci18/ood_test.csv b/llm-srbench/matsci/MatSci18/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a0f8ea1cde92a6abe0b71cc3559e3e8f7ce6049d --- /dev/null +++ b/llm-srbench/matsci/MatSci18/ood_test.csv @@ -0,0 +1,3 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a/llm-srbench/matsci/MatSci18/valid.csv b/llm-srbench/matsci/MatSci18/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..25a713cbad672e94969497b6b4257866f00b47a6 --- /dev/null +++ b/llm-srbench/matsci/MatSci18/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64f2b25f5d474a95b02f74a59027b457912b178d6501c0ed94ad99e8cbeb3195 +size 26507 diff --git a/llm-srbench/matsci/MatSci19/formula.py b/llm-srbench/matsci/MatSci19/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..e004019342a803fc87c271ee1f97bbe31dfcaae2 --- /dev/null +++ b/llm-srbench/matsci/MatSci19/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 96.82940277854249 * epsilon * (-0.00975241411319901 * (T - 352.18178394696326) + 1) - 0.4784822007985676 * (T - 352.18178394696326) + 8.062014375498787 * (T - 352.18178394696326) * np.log(epsilon + 1) diff --git a/llm-srbench/matsci/MatSci19/id_test.csv 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+ - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [3.9733850955963135, 527.8994140625] + ood_range: [528.1588745117188, 664.0452270507812] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci19/ood_test.csv b/llm-srbench/matsci/MatSci19/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..47daf493e9a4783ffffd5e391f19778d14bc732e --- /dev/null +++ b/llm-srbench/matsci/MatSci19/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 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train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-112.0376205444336, 1186.7498779296875] + ood_range: [1186.8863525390625, 1249.0421142578125] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci2/ood_test.csv b/llm-srbench/matsci/MatSci2/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7f094fba79ad173bdfb4b963b1bd8f055240860a --- /dev/null +++ b/llm-srbench/matsci/MatSci2/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c107619366143ff1fdd5a09c1492c1187b90e9a2da63605400f70c89b7fe160d +size 27985 diff --git a/llm-srbench/matsci/MatSci2/package.tar.gz 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[-0.0632206350564956, 391.18988037109375] + ood_range: [391.35757446289057, 478.7127075195313] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci20/ood_test.csv b/llm-srbench/matsci/MatSci20/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..64be482c513e288c80ecda26ddee2996a9a27b1b --- /dev/null +++ b/llm-srbench/matsci/MatSci20/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:07c3a5dd35d56770cc8a90c7a30e49ee20f616c7939238f82139b0e95baa0366 +size 28225 diff --git a/llm-srbench/matsci/MatSci20/package.tar.gz b/llm-srbench/matsci/MatSci20/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9d03f4dc17c0c8e0aff1b0c78239fe57c969826d 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sha256:182b7d81c6aafe1a9d7238c20c91edd2a20dd880b3ad5165457084ee4500f0ff +size 27645 diff --git a/llm-srbench/matsci/MatSci21/formula.py b/llm-srbench/matsci/MatSci21/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..876a750eea873adbebfd335d09a36a0ce24baa41 --- /dev/null +++ b/llm-srbench/matsci/MatSci21/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 28.580443564163904 * epsilon**2 - 0.28570034656521326 * (T - 281.87025337570554) + epsilon**3 * 4.278428749432679 * (T - 281.87025337570554) diff --git a/llm-srbench/matsci/MatSci21/id_test.csv b/llm-srbench/matsci/MatSci21/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..96265940123e40f4f785d7fa748703df86bffdae --- /dev/null +++ b/llm-srbench/matsci/MatSci21/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9fa5c17940c5cf7c89a54a2e6f053c5ee7166416d254bf8b1d060738d5868fda +size 29076 diff --git a/llm-srbench/matsci/MatSci21/metadata.yaml b/llm-srbench/matsci/MatSci21/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bf57213443a4b03df972828b5b2847dc2a42b53d --- /dev/null +++ b/llm-srbench/matsci/MatSci21/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci21 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-23.62991714477539, 109.63748931884766] + ood_range: [109.78182983398438, 196.1579132080078] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci21/ood_test.csv b/llm-srbench/matsci/MatSci21/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b56d706f2498743a4916b2aa16a92fed5bb575f2 --- /dev/null +++ b/llm-srbench/matsci/MatSci21/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d74dc9d1a5333488b43c319e45f907690ec0e06eacaad5d2fb52ee3d3e537e2 +size 28329 diff --git a/llm-srbench/matsci/MatSci21/package.tar.gz b/llm-srbench/matsci/MatSci21/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a7e925f275200de348013568e19e7baf3f1c4591 --- /dev/null +++ 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0000000000000000000000000000000000000000..03331c662ec1f680334e9fc0f14dd5739e258967 --- /dev/null +++ b/llm-srbench/matsci/MatSci22/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci22 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-0.2069860100746154, 24.880186080932617] + ood_range: [17.02102279663086, 30.516820907592773] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci22/ood_test.csv b/llm-srbench/matsci/MatSci22/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d21cae2a67df391131a235e977d711374f8339c --- /dev/null +++ b/llm-srbench/matsci/MatSci22/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:878b97961fa33361d2daf11919d62a5265e6fe86505ba131469faf023045dc1c +size 28377 diff --git a/llm-srbench/matsci/MatSci22/package.tar.gz b/llm-srbench/matsci/MatSci22/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..cc139762b28aab4b147e18c1a043f093d359056c --- /dev/null +++ b/llm-srbench/matsci/MatSci22/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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file mode 100644 index 0000000000000000000000000000000000000000..22c1c68abe18f3f19cc94f54b3ea578629b7a921 --- /dev/null +++ b/llm-srbench/matsci/MatSci23/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 64.94580689182851 * epsilon**0.6137004742020207 * np.exp(-36.945147343464875 / (8.314 * T)) - 0.21482227251600738 * (T - 331.6841118020879) + 3.55398315218852 * (T - 331.6841118020879) * np.log(epsilon + 1) diff --git a/llm-srbench/matsci/MatSci23/id_test.csv b/llm-srbench/matsci/MatSci23/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..334b242574c8f4c999363555dfc74a0801d24544 --- /dev/null +++ b/llm-srbench/matsci/MatSci23/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a98e29773f3bc18b80b1f3d21d1690f80025483e73a670756cdc1d36fd0479e +size 28666 diff --git a/llm-srbench/matsci/MatSci23/metadata.yaml b/llm-srbench/matsci/MatSci23/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5d7cfaeb7c4ec6f4dc9dea4b56ed82caf7d2fc40 --- /dev/null +++ b/llm-srbench/matsci/MatSci23/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci23 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [11.55475902557373, 322.99786376953125] + ood_range: [323.14166259765625, 398.3518676757813] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci23/ood_test.csv b/llm-srbench/matsci/MatSci23/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e1fec7c8038f4ab66c0251628f75767e7a530163 --- /dev/null +++ b/llm-srbench/matsci/MatSci23/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f12726a01a922699b47b8168d6da677ace87c0eedceb2b045d854a90fd8c3cb +size 28191 diff --git a/llm-srbench/matsci/MatSci23/package.tar.gz b/llm-srbench/matsci/MatSci23/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..afd8e968d7b7542e8a400480cce50d8202c48dd6 --- /dev/null +++ b/llm-srbench/matsci/MatSci23/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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file mode 100644 index 0000000000000000000000000000000000000000..3c0a91f8933eec1f5d5f1533e183ae63e578a036 --- /dev/null +++ b/llm-srbench/matsci/MatSci24/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 99.72829794207104 * epsilon * (-0.08976441603442807 * (T - 330.599841780566) + 1) + 4.818532892851478 * epsilon**3 + 5.41673901332906 * (T - 330.599841780566) * np.sin(epsilon) diff --git a/llm-srbench/matsci/MatSci24/id_test.csv b/llm-srbench/matsci/MatSci24/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..47183b390c5b22b5fa64524de154e12c19bb452f --- /dev/null +++ b/llm-srbench/matsci/MatSci24/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:166e790e05241067afc1cda67b329727e417dd32e32068dfdfd42eabbbe8bf28 +size 29009 diff --git a/llm-srbench/matsci/MatSci24/metadata.yaml b/llm-srbench/matsci/MatSci24/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a36196c9544032da26ffbd2d1bdca73903afef35 --- /dev/null +++ b/llm-srbench/matsci/MatSci24/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci24 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-380.60952758789057, 13.027013778686523] + ood_range: [-499.7236328125, -380.829833984375] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci24/ood_test.csv b/llm-srbench/matsci/MatSci24/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..afb3b2feb86a1f1c2efef49fc2b0ae4d6cf8b3e2 --- /dev/null +++ b/llm-srbench/matsci/MatSci24/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3de8231c04e531193db96c691d055b9ff13b1908c73cd4e8bcf59bed3169fb8f +size 28704 diff --git a/llm-srbench/matsci/MatSci24/package.tar.gz b/llm-srbench/matsci/MatSci24/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b0b0d10aab4f0c07ce907d1b1e7d13c22e903f3f --- /dev/null +++ b/llm-srbench/matsci/MatSci24/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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/dev/null +++ b/llm-srbench/matsci/MatSci25/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci25 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0002400480152573, 0.5398679971694946] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.1200256347656, 542.9339599609375] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.024449847638607, 46.46358108520508] + ood_range: [43.3792839050293, 51.83014678955078] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci25/ood_test.csv b/llm-srbench/matsci/MatSci25/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..244d1c9ddf7ae848137a080f142912ed3d37162a --- /dev/null +++ b/llm-srbench/matsci/MatSci25/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:289e2b6e1e49ee6b4f400c1fed57e7a95cc4489131b6cace326f7986d3ae0d5c +size 28385 diff --git a/llm-srbench/matsci/MatSci25/package.tar.gz b/llm-srbench/matsci/MatSci25/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5d7964de4c30485a8f913a5dd2f77e9f52f19a26 --- /dev/null +++ b/llm-srbench/matsci/MatSci25/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f323b6f7852054e00aebbc2366a2a85c648d20a1cc352b12586bd2569fdde78 +size 122815 diff --git 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--- /dev/null +++ b/llm-srbench/matsci/MatSci28/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci28 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5398679971694946] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9339599609375] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-9.04447078704834, 264.0302429199219] + ood_range: [264.2792053222656, 328.9898986816406] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - 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0000000000000000000000000000000000000000..ba184eb6057c2cfaa3bd3b67acbecf86d55bad1b --- /dev/null +++ b/llm-srbench/matsci/MatSci3/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 2.0970201031204225 * epsilon**3 + 71.35562607889295 * epsilon**0.19980173873064822 * np.exp(-5.002925364304703 / (8.314 * T)) + epsilon**3 * 3.3046149048519156 * (T - 370.1712095389104) diff --git a/llm-srbench/matsci/MatSci3/id_test.csv b/llm-srbench/matsci/MatSci3/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9b5bc5334bd21e9da5f54b67475ef5c1cecb8f7e --- /dev/null +++ b/llm-srbench/matsci/MatSci3/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a5589bdd319ec8f0bd399fc0e1e203e90750e489d64a6143f09bf2c27a5685a0 +size 28745 diff --git a/llm-srbench/matsci/MatSci3/metadata.yaml b/llm-srbench/matsci/MatSci3/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ae15c06777a94afcb92b7c3f41b5ca0453e34a29 --- /dev/null +++ b/llm-srbench/matsci/MatSci3/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci3 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.0, 153.27365112304688] + ood_range: [153.36790466308594, 209.59599304199216] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - 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b/llm-srbench/matsci/MatSci4/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 90.77601571302965 * epsilon**2 + 2.4819026782864757 * (T - 337.7690120541362) * np.log(epsilon + 1) diff --git a/llm-srbench/matsci/MatSci4/id_test.csv b/llm-srbench/matsci/MatSci4/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0f8d34987e2474acf0af1642bb22f373e9adbb00 --- /dev/null +++ b/llm-srbench/matsci/MatSci4/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c365535e9ac4024fca2512cb22002ec3c43862ccfe91e72e82f31a7822f1d017 +size 28866 diff --git a/llm-srbench/matsci/MatSci4/metadata.yaml b/llm-srbench/matsci/MatSci4/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e2fee48e1debfdb314389529f53903428dbbd7a6 --- /dev/null +++ b/llm-srbench/matsci/MatSci4/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci4 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0001200240076286, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0599975585937, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-4.702040672302246, 246.3928375244141] + ood_range: [246.5086212158203, 307.0770874023437] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci4/ood_test.csv b/llm-srbench/matsci/MatSci4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e2dc22eb51926680879e74a2f9a0912140ef774 --- /dev/null +++ b/llm-srbench/matsci/MatSci4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:754c1a6e4aa46516e3b000926f74d22502d069b44b03fa8541aaa431bab4561e +size 28213 diff --git a/llm-srbench/matsci/MatSci4/package.tar.gz b/llm-srbench/matsci/MatSci4/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..c56071a2274edc5831776a9243d3f7284ba6cdd6 --- /dev/null +++ b/llm-srbench/matsci/MatSci4/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42ac85e7a005a0df79654fb7004798a288658ef1b59a30eae3454fcf6e0d4550 +size 122965 diff --git a/llm-srbench/matsci/MatSci4/train.csv b/llm-srbench/matsci/MatSci4/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..a24ed57ff869a21b781173cefce4883d35962b49 --- /dev/null +++ b/llm-srbench/matsci/MatSci4/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a7763c14696508cdc61c0f1780d7b319c9679fc8576ebc8282f2064312ec92a +size 193797 diff --git a/llm-srbench/matsci/MatSci4/valid.csv b/llm-srbench/matsci/MatSci4/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..bf7033a9d24baae126e6beaf3013fb6b9e34c42d --- /dev/null +++ b/llm-srbench/matsci/MatSci4/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a773d3003b1e3ffffa5727c85450522997899fa22e11485573e2bf194e6bea9a +size 27654 diff --git a/llm-srbench/matsci/MatSci5/formula.py b/llm-srbench/matsci/MatSci5/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..67a7c8fef9fe3c2afdab857d6d956b9d424b929e --- /dev/null +++ b/llm-srbench/matsci/MatSci5/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 61.34686906400979 * epsilon * (-0.05076522329965729 * (T - 278.14787512499896) + 1) + 98.57939495694947 * epsilon**0.3178497443603504 * np.exp(-49.45582326747874 / (8.314 * T)) + epsilon**1.450294566141342 * 2.304053848821008 * (T - 278.14787512499896) diff --git a/llm-srbench/matsci/MatSci5/id_test.csv b/llm-srbench/matsci/MatSci5/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9ab05ae416b9f4bc5263177ae17818e1ab961f97 --- /dev/null +++ b/llm-srbench/matsci/MatSci5/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c5cb3c6d566cfdfccb888ab7aefd7aa8eb9a6c0bf127067b54373f1c101c61e0 +size 28942 diff --git a/llm-srbench/matsci/MatSci5/metadata.yaml b/llm-srbench/matsci/MatSci5/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e14aa27545a91c6e2844357a84f0a26786aa1dfc --- /dev/null +++ b/llm-srbench/matsci/MatSci5/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci5 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-82.4287567138672, 42.39859771728516] + ood_range: [-107.34946441650392, -82.47850036621094] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci5/ood_test.csv b/llm-srbench/matsci/MatSci5/ood_test.csv new file mode 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+version https://git-lfs.github.com/spec/v1 +oid sha256:a50c330298ef6cc29a3155edbcde6f9cf741530d538827ad108193b139bfe552 +size 194127 diff --git a/llm-srbench/matsci/MatSci5/valid.csv b/llm-srbench/matsci/MatSci5/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..aae70b16e2d22eb6ef1bee65a6d6cce5ca509b15 --- /dev/null +++ b/llm-srbench/matsci/MatSci5/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c78394109a73871281ab269584d02404b072bf34550e5a8332e6d511cc7e2542 +size 27795 diff --git a/llm-srbench/matsci/MatSci6/formula.py b/llm-srbench/matsci/MatSci6/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..90b9e9b7e6b10d67873ab0aefe43ecd77d66357a --- /dev/null +++ b/llm-srbench/matsci/MatSci6/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 21.698090453033654 * epsilon * (-0.05460334940892902 * (T - 342.5784399345082) + 1) + epsilon * 5.6497230214391285 * (T - 342.5784399345082)**2 diff --git a/llm-srbench/matsci/MatSci6/id_test.csv b/llm-srbench/matsci/MatSci6/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..22df68d4b754880fef0178c25641d492724a33bd --- /dev/null +++ b/llm-srbench/matsci/MatSci6/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d25f2bbd406fd63671e05eff469463b5c7cb36587edf391490e4921baf5cc8c +size 27291 diff --git a/llm-srbench/matsci/MatSci6/metadata.yaml b/llm-srbench/matsci/MatSci6/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6b9a3e4e26f3f2b3031ddd691756b7fe709f8e89 --- /dev/null +++ b/llm-srbench/matsci/MatSci6/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci6 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [0.0, 122422.4375] + ood_range: [122523.0234375, 179829.375] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci6/ood_test.csv b/llm-srbench/matsci/MatSci6/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1ae394f50e0090ccb382b8f4ad964c2c3815cd81 --- /dev/null +++ b/llm-srbench/matsci/MatSci6/ood_test.csv @@ -0,0 +1,3 @@ +version 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b/llm-srbench/matsci/MatSci6/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..d210414ed1275c7e44af2c57482de9dae628f5f5 --- /dev/null +++ b/llm-srbench/matsci/MatSci6/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f8e97d7fefe8ffc733b0104b3871a3899f99539b85b108a8f974e68ed8257c7c +size 26400 diff --git a/llm-srbench/matsci/MatSci7/formula.py b/llm-srbench/matsci/MatSci7/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..008661cf4a1ac006e2c17019aa0b0c5247c53276 --- /dev/null +++ b/llm-srbench/matsci/MatSci7/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 6.531365700567425 * epsilon**3 - 0.6867651335523405 * (T - 289.08080514174986) + 3.018423785145038 * (T - 289.08080514174986) * np.log(epsilon + 1) diff --git a/llm-srbench/matsci/MatSci7/id_test.csv b/llm-srbench/matsci/MatSci7/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a7a290dacda8c977039b86f0f0435241191cfc98 --- /dev/null +++ b/llm-srbench/matsci/MatSci7/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b86680799e2ca6be00f51bbcfda5defdd04ba75f3957872c4f7579d447934a89 +size 28956 diff --git a/llm-srbench/matsci/MatSci7/metadata.yaml b/llm-srbench/matsci/MatSci7/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5196e1d53bc80bf380ced729a5496397cca470e9 --- /dev/null +++ b/llm-srbench/matsci/MatSci7/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci7 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-15.688142776489258, 157.5693359375] + ood_range: [157.66676330566406, 209.212646484375] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci7/ood_test.csv b/llm-srbench/matsci/MatSci7/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d0ac4dfc70e84966be3323e61f75035ba47e81c2 --- /dev/null +++ b/llm-srbench/matsci/MatSci7/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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new file mode 100644 index 0000000000000000000000000000000000000000..3438701b18086e9f77eb98fb6f306486f95d9f70 --- /dev/null +++ b/llm-srbench/matsci/MatSci7/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:994ae9be408500975f52e557435315618c99770f2b19e18f4542169c1fd15203 +size 27847 diff --git a/llm-srbench/matsci/MatSci8/formula.py b/llm-srbench/matsci/MatSci8/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..3bca7c49df45a003eb6a04572c778a5419ea13be --- /dev/null +++ b/llm-srbench/matsci/MatSci8/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 23.788341555913973 * epsilon * (-0.050420144608590484 * (T - 330.2004199209183) + 1) + epsilon**0.9585455289307727 * 5.229500625918487 * (T - 330.2004199209183) diff --git a/llm-srbench/matsci/MatSci8/id_test.csv b/llm-srbench/matsci/MatSci8/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f60513bd40c64dff89faa775c351304dfa7307ae --- /dev/null +++ b/llm-srbench/matsci/MatSci8/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36872f133c69743b8deaaa934c1f91d631003250b1f973e43c035899f9c363d1 +size 28733 diff --git a/llm-srbench/matsci/MatSci8/metadata.yaml b/llm-srbench/matsci/MatSci8/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f3d8f589fed46a0689e9c48024c4932a1aa3db37 --- /dev/null +++ b/llm-srbench/matsci/MatSci8/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci8 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0001200240076286, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0599975585937, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-6.412981986999512, 491.4742431640625] + ood_range: [491.7127990722656, 617.679931640625] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci8/ood_test.csv b/llm-srbench/matsci/MatSci8/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d289efb74826589db627ff1fc7017f33dafa8cd7 --- /dev/null +++ b/llm-srbench/matsci/MatSci8/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8215f0454e3c23ef843a3e219292cdff14e94c2363aaea6c4738aa5630e45b07 +size 28021 diff --git a/llm-srbench/matsci/MatSci8/package.tar.gz b/llm-srbench/matsci/MatSci8/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..66190d77698deca68c91b857b28309d33d40cb0e --- /dev/null +++ b/llm-srbench/matsci/MatSci8/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:deb4497e21f117f7decde3cf99f490f409a5066e5c1f08152a2b0a8c6bdf5ddc +size 121071 diff --git a/llm-srbench/matsci/MatSci8/train.csv b/llm-srbench/matsci/MatSci8/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..623c899691f478c9c0b11d02ef88229342c66b02 --- /dev/null +++ b/llm-srbench/matsci/MatSci8/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c45a6fdbb722af93de330c21d05ac7a8fd27043e594fac913b9325a7348f1e2a +size 193254 diff --git a/llm-srbench/matsci/MatSci8/valid.csv b/llm-srbench/matsci/MatSci8/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..f5031412b1bea2e5fb56841f14c2a273a2a89a14 --- /dev/null +++ b/llm-srbench/matsci/MatSci8/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79c249193a32b87e7993f7b4b7b17fdb5ef45e285fdab56f0facd7b94a9cc431 +size 27573 diff --git a/llm-srbench/matsci/MatSci9/formula.py b/llm-srbench/matsci/MatSci9/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..e9d0cfb12a552d2686c0c0e51adb3daeb930c079 --- /dev/null +++ b/llm-srbench/matsci/MatSci9/formula.py @@ -0,0 +1,2 @@ +def sigma(epsilon, T): + return 4.255830478818137 * epsilon**3 - 0.39029568781474044 * (T - 308.8646781296164) + epsilon**3 * 8.63802815432207 * (T - 308.8646781296164) diff --git a/llm-srbench/matsci/MatSci9/id_test.csv b/llm-srbench/matsci/MatSci9/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..662dedfa625ce1c62da507797a7cac53c07361c9 --- /dev/null +++ b/llm-srbench/matsci/MatSci9/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c6f2f3e2a38c18e17e897c4b4954f3ed2918962aa966b9877d540cbc3224cbf8 +size 28937 diff --git a/llm-srbench/matsci/MatSci9/metadata.yaml b/llm-srbench/matsci/MatSci9/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..132096a5b5da3d6858411194a64250315e50ed4a --- /dev/null +++ b/llm-srbench/matsci/MatSci9/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__matsci__MatSci9 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [0.0, 0.5399879813194274] + ood_range: [0.5401080250740051, 0.6000000238418579] + - name: T + type: continuous + train_range: [273.0, 542.9940185546875] + ood_range: [543.0540161132812, 573.0] + + target: + name: sigma + type: continuous + train_range: [-22.74821662902832, 227.72685241699216] + ood_range: [227.99794006347656, 390.65579223632807] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/matsci/MatSci9/ood_test.csv b/llm-srbench/matsci/MatSci9/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8dfa20f3c746a394ec17e4cd6098b61838c71bae --- /dev/null +++ b/llm-srbench/matsci/MatSci9/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75a94006288f55ada3373aaefdc5b88b170ee9d7944bf77de9761c27207c8f3a +size 28236 diff --git a/llm-srbench/matsci/MatSci9/package.tar.gz b/llm-srbench/matsci/MatSci9/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e71af19995cc730e5e9142bd365c8575bf56f09d --- /dev/null +++ b/llm-srbench/matsci/MatSci9/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:10da58e471248d8dbf83050cf103632989836fa2abef25ae34b690c6943627f7 +size 123772 diff --git a/llm-srbench/matsci/MatSci9/train.csv b/llm-srbench/matsci/MatSci9/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..621b0315466e5d178b94bf7543695bcd6c9b5a8b --- /dev/null +++ b/llm-srbench/matsci/MatSci9/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cca58dc08d8e02acd036d2243c4138ffc9136c45038859d40244e753fb433e45 +size 195210 diff --git a/llm-srbench/matsci/MatSci9/valid.csv b/llm-srbench/matsci/MatSci9/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..b4e73b0e004226083f2d5b96ee00f81610c9bffa --- /dev/null +++ b/llm-srbench/matsci/MatSci9/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0d864d44c5e5b6b313f7ea2540a43b917b31ed3b199232532113ec1b1960714 +size 27886 diff --git a/llm-srbench/phys_osc/PO0/formula.py b/llm-srbench/phys_osc/PO0/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..5c4f685a8dc6f3a2627bf2639b30a5001b86b999 --- /dev/null +++ b/llm-srbench/phys_osc/PO0/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + beta = 1.0 + omega0 = 1.0 + return F0 * np.sin(t) - beta * np.sin(v) - omega0**2 * x**3 - omega0**2 * x * np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO0/id_test.csv b/llm-srbench/phys_osc/PO0/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e29bd963d4548a3959ce469513a065f46e23ad30 --- /dev/null +++ b/llm-srbench/phys_osc/PO0/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19f663f8c18a2fd3ad3244a96366e81adf0b80326fdbafe0f5da03e536b32d35 +size 39758 diff --git a/llm-srbench/phys_osc/PO0/metadata.yaml b/llm-srbench/phys_osc/PO0/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b33d5717b4a9849672c3709c23af49b0d74b0849 --- /dev/null +++ b/llm-srbench/phys_osc/PO0/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO0 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.288815140724182, 1.274683117866516] + ood_range: [-1.2378473281860352, 1.2271875143051147] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.204593062400818, 1.2107086181640625] + ood_range: [-1.0543116331100464, 1.0849028825759888] + + target: + name: dv_dt + type: continuous + train_range: [-2.021939516067505, 1.941110372543335] + ood_range: [-1.701046586036682, 1.7051546573638916] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO0/ood_test.csv b/llm-srbench/phys_osc/PO0/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a87ac72d938fd326c3967334fc68dac112928060 --- /dev/null +++ b/llm-srbench/phys_osc/PO0/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2287807fffb6df4d318d9577f3698801c0ee0043fea0cb82b799419f15944ec4 +size 39408 diff --git a/llm-srbench/phys_osc/PO0/package.tar.gz b/llm-srbench/phys_osc/PO0/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..093a11a14f00dbbd89a0bcb15196d19fd9858fb9 --- /dev/null +++ b/llm-srbench/phys_osc/PO0/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8e4f4778d5966fa47b785e2c98ce62b114d601c3beee111d5adc61ce12976034 +size 181342 diff --git a/llm-srbench/phys_osc/PO0/train.csv b/llm-srbench/phys_osc/PO0/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..f52c89299467db6e5828ee571e7465edbb77a9f5 --- /dev/null +++ b/llm-srbench/phys_osc/PO0/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ca24a9872a16840a73e9e3d4213cbd1e9dc353db5514a0841623f200e3fd8d1a +size 267447 diff --git a/llm-srbench/phys_osc/PO0/valid.csv b/llm-srbench/phys_osc/PO0/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..791015b53c5532f1527e660213253935d450a725 --- /dev/null +++ b/llm-srbench/phys_osc/PO0/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01aed13c65b850bded63ce57664ed5273a69a53b624703db6971687a3fa76eb0 +size 38174 diff --git a/llm-srbench/phys_osc/PO1/formula.py b/llm-srbench/phys_osc/PO1/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..eef30862b3b145cb21b664878864c480ab518d4f --- /dev/null +++ b/llm-srbench/phys_osc/PO1/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t): + F0 = 0.4465879557417327 + omega0 = 0.3254156367450257 + return F0 * np.sin(t) - omega0**2 * x - omega0**2 * x * np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO1/id_test.csv b/llm-srbench/phys_osc/PO1/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5c4dc1770c93ce5063ec3ffbf35e1cf4804015ca --- /dev/null +++ b/llm-srbench/phys_osc/PO1/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6f18a3fa859135c9a36887fb55a281938c8b14592d0df665ac6fefbd4e92bd0 +size 29306 diff --git a/llm-srbench/phys_osc/PO1/metadata.yaml b/llm-srbench/phys_osc/PO1/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0db62cbd2cb918a5d354f59bcace82c8457d16dd --- /dev/null +++ b/llm-srbench/phys_osc/PO1/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__phys_osc__PO1 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-2.1862950325012207, 2.223069190979004] + ood_range: [-0.7371268272399902, 0.9878875017166135] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + + target: + name: dv_dt + type: continuous + train_range: [-2.420074701309204, 2.3911492824554443] + ood_range: [-1.3082520961761477, 1.452786207199097] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO1/ood_test.csv b/llm-srbench/phys_osc/PO1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..55162578a0b355a7688159640b74ae8c03a36f6f --- /dev/null +++ b/llm-srbench/phys_osc/PO1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85e4035aa6642a5386b7c767be4322dd5498b51db0f5bd369631ba4fd81fdba5 +size 29642 diff --git a/llm-srbench/phys_osc/PO1/package.tar.gz b/llm-srbench/phys_osc/PO1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b8c65738808809c0192065b9175e5f2506fc600d --- /dev/null +++ b/llm-srbench/phys_osc/PO1/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b84b03558febafaacfc81b00c94d9f718c59cb72f235e18b17712047bcf6e0b +size 135488 diff --git a/llm-srbench/phys_osc/PO1/train.csv b/llm-srbench/phys_osc/PO1/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..9384dbc2fd1af6595b71f27865815a553b24140b --- /dev/null +++ b/llm-srbench/phys_osc/PO1/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dda75b51531e446d688084bfd1f2c15ce89531518d38aa77980152fad93ce515 +size 199211 diff --git a/llm-srbench/phys_osc/PO1/valid.csv b/llm-srbench/phys_osc/PO1/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..664db9bcad24a2aa03c94aaa5d607fb7f3c852eb --- /dev/null +++ b/llm-srbench/phys_osc/PO1/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:016fef85201aeed8e854606b6eec5801ea27a28f8a2007864f54b42b6b082025 +size 28402 diff --git a/llm-srbench/phys_osc/PO10/formula.py b/llm-srbench/phys_osc/PO10/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..58f41d9d5ce8a027f82df4c00783462f7daba7ea --- /dev/null +++ b/llm-srbench/phys_osc/PO10/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t): + F0 = 1.0 + omega0 = 1.0 + gamma = 1.0 + return F0 * np.sin(t) - omega0**2 * (gamma * t + 1) * x - omega0**2 * x**3 - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO10/id_test.csv b/llm-srbench/phys_osc/PO10/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a4991ae64c684e4c951de675723603b50ff85e3b --- /dev/null +++ b/llm-srbench/phys_osc/PO10/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b849483927dfbe2121f920e93628fe468fc7fe8119146d3c6d62a6759a02a94 +size 29416 diff --git a/llm-srbench/phys_osc/PO10/metadata.yaml b/llm-srbench/phys_osc/PO10/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..39791b132ecf506ba9eba88779a51cab4465f8e6 --- /dev/null +++ b/llm-srbench/phys_osc/PO10/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__phys_osc__PO10 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.1092615127563477, 1.1369068622589111] + ood_range: [-1.0797237157821655, 1.062114119529724] + - name: t + type: continuous + train_range: [0.0080016003921627, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + + target: + name: dv_dt + type: continuous + train_range: [-7.809790611267092, 7.539154052734375] + ood_range: [-7.993384361267092, 7.9494380950927725] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO10/ood_test.csv b/llm-srbench/phys_osc/PO10/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..92dbde705d8eba40d6eb853b85214a1c7d5dee83 --- /dev/null +++ b/llm-srbench/phys_osc/PO10/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1780b0300972fc9d21862482c1a9f78ef966a60055a6945bc846a3121b955fc7 +size 29349 diff --git a/llm-srbench/phys_osc/PO10/package.tar.gz b/llm-srbench/phys_osc/PO10/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..30a0e5b2f0a30698d1c338f94cd91e97d01f9dc9 --- /dev/null +++ b/llm-srbench/phys_osc/PO10/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c909631253b5525fea72ea49fd4e3fa26718d5378581fdd89b0245221cd42f39 +size 134557 diff --git a/llm-srbench/phys_osc/PO10/train.csv b/llm-srbench/phys_osc/PO10/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..ebfc853737e896caa183256d06a10337a4ba409a --- /dev/null +++ b/llm-srbench/phys_osc/PO10/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c809602e32d623f598e496777414e52b02d2330caa1d2d99a3b6833f2efc4ec +size 198126 diff --git a/llm-srbench/phys_osc/PO10/valid.csv b/llm-srbench/phys_osc/PO10/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..09e2bb73e09bf57e17e57d63cf67813e7454eb45 --- /dev/null +++ b/llm-srbench/phys_osc/PO10/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8908d46995514a210a05a47d65f84cfffae7710f0935e1eba4bd9ef4d9879be0 +size 28255 diff --git a/llm-srbench/phys_osc/PO11/formula.py b/llm-srbench/phys_osc/PO11/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..3461595459f3c91c4005175542266dfdbdb361c8 --- /dev/null +++ b/llm-srbench/phys_osc/PO11/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.4465879557417327 + omega0 = 0.3254156367450257 + gamma = 0.3333333333333333 + return -beta * np.sin(v) - omega0**2 * (gamma * t + 1) * x - omega0**2 * x**3 diff --git a/llm-srbench/phys_osc/PO11/id_test.csv b/llm-srbench/phys_osc/PO11/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..644e1ba620aa05afdcac836bedc2f4fef14f35c4 --- /dev/null +++ b/llm-srbench/phys_osc/PO11/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c177d3501a4c9f74e34af106601b9319b140b7f976b7f55cfccc97ddf0a959f +size 42736 diff --git a/llm-srbench/phys_osc/PO11/metadata.yaml b/llm-srbench/phys_osc/PO11/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5b0c3491e4de0a69302816a45aed0e61e36b1464 --- /dev/null +++ b/llm-srbench/phys_osc/PO11/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO11 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.670577049255371, 1.0] + ood_range: [-2.2859883301862283e-06, 2.0723859961435664e-06] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.6171815395355225, 0.9782325625419616] + ood_range: [-7.785013622196857e-06, 9.042592864716424e-06] + + target: + name: dv_dt + type: continuous + train_range: [-5.025398254394531, 2.798367500305176] + ood_range: [-2.429810047033243e-05, 2.7556465283851136e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO11/ood_test.csv b/llm-srbench/phys_osc/PO11/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5222abd17de82863ad6a4ef09eb3dded7ac5823a --- /dev/null +++ b/llm-srbench/phys_osc/PO11/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b9ecd70c6931415fa1e4030e32d0a4002a1b921972d966ee6960d81768d1d3db +size 44524 diff --git a/llm-srbench/phys_osc/PO11/package.tar.gz b/llm-srbench/phys_osc/PO11/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fe315c3ba255eac0931ce847c76f79ac72c4976d --- /dev/null +++ b/llm-srbench/phys_osc/PO11/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ae676e3b2b00169ecb0403513eaea41b56c5b0ff1b287cfcb637515cf82197b7 +size 187428 diff --git a/llm-srbench/phys_osc/PO11/train.csv b/llm-srbench/phys_osc/PO11/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..814bf95645624414ec5518b1306f5878f2287dac --- /dev/null +++ b/llm-srbench/phys_osc/PO11/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c4a12723483d9056ecfcb9059a1bdf20b3e4bbebb80058fef8507f046e0d3ca2 +size 278987 diff --git a/llm-srbench/phys_osc/PO11/valid.csv b/llm-srbench/phys_osc/PO11/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..137a73db4451fcc2f48eb2fbaa2497e7d02e083d --- /dev/null +++ b/llm-srbench/phys_osc/PO11/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c707c53a4339709611259af41e05f6d18a095be40e26843fa95dce27fe8a19d +size 39997 diff --git a/llm-srbench/phys_osc/PO12/formula.py b/llm-srbench/phys_osc/PO12/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..2f95c2c7b0a279d42f9e3d6ae7631470f5f1d9e5 --- /dev/null +++ b/llm-srbench/phys_osc/PO12/formula.py @@ -0,0 +1,13 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + alpha = 1.0 + beta = 1.0 + omega0 = 1.0 + gamma = 1.0 + return F0 * np.sin(t) - alpha * v**3 - beta * np.abs(v)**(1/3) - omega0**2 * (gamma * t + 1) * x - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO12/id_test.csv b/llm-srbench/phys_osc/PO12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1de4af50b358fcb9ef871bf50c7788cbf0ccfded --- /dev/null +++ b/llm-srbench/phys_osc/PO12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:40105a2e9eef61db68f7d69ebfafd5f1a6d9c4a2124b7e0a2279769efe758bfb +size 39791 diff --git a/llm-srbench/phys_osc/PO12/metadata.yaml b/llm-srbench/phys_osc/PO12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c1969135d57dbb463018fd37b996ebe3769179fd --- /dev/null +++ b/llm-srbench/phys_osc/PO12/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO12 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.198585867881775, 1.0215227603912354] + ood_range: [-0.5411428809165953, 0.548399806022644] + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.5688481330871582, 1.5406986474990845] + ood_range: [-0.6497672200202941, 0.8797563314437866] + + target: + name: dv_dt + type: continuous + train_range: [-2.1755034923553467, 2.3913111686706543] + ood_range: [-1.3754959106445312, 1.4947125911712646] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO12/ood_test.csv b/llm-srbench/phys_osc/PO12/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4ea9a66e7034fb95b4bc9ca3f7dd3806c61b047a --- /dev/null +++ b/llm-srbench/phys_osc/PO12/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:722e027dfa58679d5329ae8321abd092787467df93dfea41209a51241c27f85a +size 40007 diff --git a/llm-srbench/phys_osc/PO12/package.tar.gz b/llm-srbench/phys_osc/PO12/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9e6308866a1f625235c65d75f2206fbf03c9d3df --- /dev/null +++ b/llm-srbench/phys_osc/PO12/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7cbc3884478c3771a9bf5137290b966ca49c123c92867e855d3ac961a3fac29 +size 181544 diff --git a/llm-srbench/phys_osc/PO12/train.csv b/llm-srbench/phys_osc/PO12/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..f64494e2e7d25e2cb68742136a86603875edcd85 --- /dev/null +++ b/llm-srbench/phys_osc/PO12/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:49d9afd3ab857bd23a66a040b6c1fd14b711e47707d8a8c0746851edb9883310 +size 267482 diff --git a/llm-srbench/phys_osc/PO12/valid.csv b/llm-srbench/phys_osc/PO12/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..7e35385562f21ad238185da6a07dfe7ee44bbcf3 --- /dev/null +++ b/llm-srbench/phys_osc/PO12/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:540abe9d71e6c4fed23dac4e1facbd26b15b2f83e1f268d47163c2c2450a18cd +size 38245 diff --git a/llm-srbench/phys_osc/PO13/formula.py b/llm-srbench/phys_osc/PO13/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..d250640eb7abe74a9827325606f5a2d07d903779 --- /dev/null +++ b/llm-srbench/phys_osc/PO13/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + mu = 1.0 + omega0 = 1.0 + gamma = 1.0 + return F0 * np.sin(t) - mu * (1 - x**2) * v - omega0**2 * (gamma * np.abs(v)**(1/3) + 1) * x diff --git a/llm-srbench/phys_osc/PO13/id_test.csv b/llm-srbench/phys_osc/PO13/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cff4c657efa1d8754c6e4a8501fda0a649c144b1 --- /dev/null +++ b/llm-srbench/phys_osc/PO13/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:184c734519e37cf0abe6de098131b129c01cd1b9e637fef3caf24bc08117f1ae +size 40731 diff --git a/llm-srbench/phys_osc/PO13/metadata.yaml b/llm-srbench/phys_osc/PO13/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f9a9493bad3f5a93695b63410cfde749576fa580 --- /dev/null +++ b/llm-srbench/phys_osc/PO13/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO13 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.6411164999008178, 1.0] + ood_range: [-0.1212258860468864, 0.1211981624364852] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.555327296257019, 1.0935909748077393] + ood_range: [-0.0606856644153594, 0.1231208890676498] + + target: + name: dv_dt + type: continuous + train_range: [-3.166533231735229, 2.350721597671509] + ood_range: [-0.1168559417128562, 0.1177523136138916] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO13/ood_test.csv b/llm-srbench/phys_osc/PO13/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..722ee7507e530cc7a3a2aa4d6c6e3b19af36008c --- /dev/null +++ b/llm-srbench/phys_osc/PO13/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de86c2b24243f42dcdbcb37f9b4fe34a385d049bf95b928ad2cd950158af080a +size 40766 diff --git a/llm-srbench/phys_osc/PO13/package.tar.gz b/llm-srbench/phys_osc/PO13/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9b895ece2ec48ae07381989f8e263a07d5d30ebd --- /dev/null +++ b/llm-srbench/phys_osc/PO13/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28085ae2755205fc76b9af451ed284d40bd5ea0a201717b7bbeffb4bbe67dba4 +size 181479 diff --git a/llm-srbench/phys_osc/PO13/train.csv b/llm-srbench/phys_osc/PO13/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..b033057dd9b46089cd2f01fb3e1ec37caecdbab4 --- /dev/null +++ b/llm-srbench/phys_osc/PO13/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f38d854937ed92cc8b234ed90fac51ef023b7645c68b8bda0054ea47475d05a5 +size 268014 diff --git a/llm-srbench/phys_osc/PO13/valid.csv b/llm-srbench/phys_osc/PO13/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..4f46f1aac72a4d0ddcb828715ff45c4376389221 --- /dev/null +++ b/llm-srbench/phys_osc/PO13/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be9ac0c6e729b5e454b2f6976d8b516ad98da028fd221328ad6314239be69003 +size 38290 diff --git a/llm-srbench/phys_osc/PO14/formula.py b/llm-srbench/phys_osc/PO14/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..f7cc008e1b78f6eeb8228279b683bc99762b5ead --- /dev/null +++ b/llm-srbench/phys_osc/PO14/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + beta = 0.3254156367450257 + mu = 0.3333333333333333 + return F0 * np.sin(t) - beta * np.log(np.abs(v) + 1) - beta * np.sin(v) - 2 * beta * v - mu * (1 - x**2) * v diff --git a/llm-srbench/phys_osc/PO14/id_test.csv b/llm-srbench/phys_osc/PO14/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..550c2f1662c83616835d0199483433e98bfca0b2 --- /dev/null +++ b/llm-srbench/phys_osc/PO14/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6ca6b0cb2fbce387052526f90d0336e3b0db3afbb8e27aebe3abc0c541d0175 +size 40189 diff --git a/llm-srbench/phys_osc/PO14/metadata.yaml b/llm-srbench/phys_osc/PO14/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..84fcefcfb360bf6e76a05f6ce2e7f71a447ebf25 --- /dev/null +++ b/llm-srbench/phys_osc/PO14/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO14 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.1135035380721092, 1.3332908153533936] + ood_range: [-0.3329637646675109, 0.0709096193313598] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.252709686756134, 0.1577872931957244] + ood_range: [-0.23028165102005, 0.1451733708381652] + + target: + name: dv_dt + type: continuous + train_range: [-0.1971687376499176, 0.2381624579429626] + ood_range: [-0.1433318853378295, 0.2253382056951522] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO14/ood_test.csv b/llm-srbench/phys_osc/PO14/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..bf0e6280f1238c34bf4ba1e751103eceb5800125 --- /dev/null +++ b/llm-srbench/phys_osc/PO14/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:53692735cf447e251eb8d738ce5cea34c951e68f7c3e23e94f9509fd5e50755e +size 40671 diff --git a/llm-srbench/phys_osc/PO14/package.tar.gz b/llm-srbench/phys_osc/PO14/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..641e7bf61ddb163ad7443fdbf49b78d3fcccf3bb --- /dev/null +++ b/llm-srbench/phys_osc/PO14/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:865deda8559d11e20e831add1b90b3e28e8baf9c8dea404320b0ef9f31afe7d0 +size 180348 diff --git a/llm-srbench/phys_osc/PO14/train.csv b/llm-srbench/phys_osc/PO14/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..a8bbb593255a2a5d2149746e6c5a9c3d350a9279 --- /dev/null +++ b/llm-srbench/phys_osc/PO14/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73ad6ed7011486debd34e850dcac08f3c7d31d6896196da1c6596d7a7ba1ae94 +size 266440 diff --git a/llm-srbench/phys_osc/PO14/valid.csv b/llm-srbench/phys_osc/PO14/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..a58d76d856dbc84a4e8b2b106fa875ad8b814d3f --- /dev/null +++ b/llm-srbench/phys_osc/PO14/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fb3d4ef24111b404c70582f5bba47afadf57a3803833ee5af2f116050badbf46 +size 38080 diff --git a/llm-srbench/phys_osc/PO15/formula.py b/llm-srbench/phys_osc/PO15/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..957b3937872f728fd06c3b4df51f7218b06388aa --- /dev/null +++ b/llm-srbench/phys_osc/PO15/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + omega0 = 1.0 + gamma = 1.0 + return F0 * np.sin(t) - omega0**2 * (gamma * np.abs(v)**0.333333333333333 + 1) * x - omega0**2 * x - omega0**2 * x * np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO15/id_test.csv b/llm-srbench/phys_osc/PO15/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..422c640b520fe08460b6e7f9bbdc46b5bc0431bb --- /dev/null +++ b/llm-srbench/phys_osc/PO15/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed1ce587e3f71a4cebd8369568b34a7857f7fcdb21dc56839a9293dec3743e47 +size 39232 diff --git a/llm-srbench/phys_osc/PO15/metadata.yaml b/llm-srbench/phys_osc/PO15/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..67386305ccfa6bfe83fd31635da7d97afda3b430 --- /dev/null +++ b/llm-srbench/phys_osc/PO15/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO15 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.1868146657943726, 1.1860688924789429] + ood_range: [-1.149312138557434, 1.06530499458313] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-2.3674991130828857, 2.337019443511963] + ood_range: [-2.1006758213043213, 2.3185467720031734] + + target: + name: dv_dt + type: continuous + train_range: [-4.46141529083252, 4.480005741119385] + ood_range: [-4.3799028396606445, 4.3962154388427725] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO15/ood_test.csv b/llm-srbench/phys_osc/PO15/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d7e65857c38729fed519ec58c80863cda3302e64 --- /dev/null +++ b/llm-srbench/phys_osc/PO15/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bcf0d2a3c47dfdbfab4fa3911d247b3f7ed56d09d7690ce1cf3895acbd3f5128 +size 39182 diff --git a/llm-srbench/phys_osc/PO15/package.tar.gz b/llm-srbench/phys_osc/PO15/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..7b430ae7e775d61b7b79e84fe9fc7d597a15ccc2 --- /dev/null +++ b/llm-srbench/phys_osc/PO15/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21ad1dd29906006d4b5baddfaff5dfe3667d6805289b47d64ae5bb0ac36d10a7 +size 179747 diff --git a/llm-srbench/phys_osc/PO15/train.csv b/llm-srbench/phys_osc/PO15/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..573977617c92b3e4b5bb5c07085686f67e2e2f1d --- /dev/null +++ b/llm-srbench/phys_osc/PO15/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:26d02064611c21805ad603ddca026a3dd7abab9c8737e556f0cf6d2c12a0b494 +size 265530 diff --git a/llm-srbench/phys_osc/PO15/valid.csv b/llm-srbench/phys_osc/PO15/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..60660f8986c74cd10e336305e8069e8c6679d64b --- /dev/null +++ b/llm-srbench/phys_osc/PO15/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f3395f581cbe394f053d34a0ff2ce263a84ce1632362c0206841936d837f1a8f +size 37919 diff --git a/llm-srbench/phys_osc/PO16/formula.py b/llm-srbench/phys_osc/PO16/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..c1c2d3678b38c886bf94bab58d45bbe121b7743c --- /dev/null +++ b/llm-srbench/phys_osc/PO16/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + beta = 0.3254156367450257 + omega0 = 0.3333333333333333 + return F0 * np.sin(t) - beta * np.sin(x) * v - beta * np.sin(v) - omega0**2 * x**3 diff --git a/llm-srbench/phys_osc/PO16/id_test.csv b/llm-srbench/phys_osc/PO16/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8a1a204c38693f19e63997f8eb16fcc7a3ef6111 --- /dev/null +++ b/llm-srbench/phys_osc/PO16/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:253a2b3d2cc0586916f923e67ae3de4fd654261c0a514c11854e9d570c5da98a +size 39855 diff --git a/llm-srbench/phys_osc/PO16/metadata.yaml b/llm-srbench/phys_osc/PO16/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4be80a7ed93b9d09448222272bee111f208a35f6 --- /dev/null +++ b/llm-srbench/phys_osc/PO16/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO16 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.2531132698059082, 1.2763686180114746] + ood_range: [-1.2423583269119265, 0.96465265750885] + - name: t + type: continuous + train_range: [0.0160032007843256, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.5932717323303225, 1.7953966856002808] + ood_range: [-0.7585620284080505, 1.57138192653656] + + target: + name: dv_dt + type: continuous + train_range: [-5.5868425369262695, 5.223758220672608] + ood_range: [-2.371611833572388, 5.067886352539063] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO16/ood_test.csv b/llm-srbench/phys_osc/PO16/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a1de1210130b0b3d0a5d0e23f6ac7c0490e92597 --- /dev/null +++ b/llm-srbench/phys_osc/PO16/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b1ab9d2d0108cbbbdc5342b5d9c8e242f8a0a00a509bfc5b779099a709df38fa +size 39581 diff --git a/llm-srbench/phys_osc/PO16/package.tar.gz b/llm-srbench/phys_osc/PO16/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4ef2f3cbebe4754ea7a0a80a9eb81bd78eef0b81 --- /dev/null +++ b/llm-srbench/phys_osc/PO16/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3846a0b23d8ad343b2abd7d4c685f45c1b142aafee3ae66aa0717e69ec999c41 +size 181845 diff --git a/llm-srbench/phys_osc/PO16/train.csv b/llm-srbench/phys_osc/PO16/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a4a5235a73a831e024318d56be084e027a0e98a --- /dev/null +++ b/llm-srbench/phys_osc/PO16/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf69a76d3ad9fd525465cd089e8f1cab3089913a377c32379f98c304bd3106ed +size 267452 diff --git a/llm-srbench/phys_osc/PO16/valid.csv b/llm-srbench/phys_osc/PO16/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..8cefde905c9b60659aa829db362c59355eddac8f --- /dev/null +++ b/llm-srbench/phys_osc/PO16/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b9bc30aa9aece412d8c6565c4b2eabe76ad757a79a7410c1ac462921fa266f9 +size 38171 diff --git a/llm-srbench/phys_osc/PO17/formula.py b/llm-srbench/phys_osc/PO17/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..300ba3904e9427899004476c488b8201ba27af8f --- /dev/null +++ b/llm-srbench/phys_osc/PO17/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + beta = 0.2 + omega0 = 1.0 + return F0 * np.sin(t) - beta * np.sin(x) * v - 2 * beta * v - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO17/id_test.csv b/llm-srbench/phys_osc/PO17/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea694ff6d3c47b1438804f4e2bbcd0bbb010939a --- /dev/null +++ b/llm-srbench/phys_osc/PO17/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ad5a727497f03e08cd0a7e2ebca8402e18b755b431c7ef444a1437ab1f85756 +size 40343 diff --git a/llm-srbench/phys_osc/PO17/metadata.yaml b/llm-srbench/phys_osc/PO17/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fbdf764284844b1e352b75e667538611e8cab743 --- /dev/null +++ b/llm-srbench/phys_osc/PO17/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO17 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.4300128519535064, 1.0] + ood_range: [-0.2921080589294433, 0.2852742075920105] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.0630184412002563, 0.5703344941139221] + ood_range: [-0.1386936604976654, 0.2989106774330139] + + target: + name: dv_dt + type: continuous + train_range: [-2.5071296691894527, 1.320259928703308] + ood_range: [-0.2769789397716522, 0.3039578795433044] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO17/ood_test.csv b/llm-srbench/phys_osc/PO17/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..164e37619d1ee8121d4744aef5d6e73d96be62cd --- /dev/null +++ b/llm-srbench/phys_osc/PO17/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:30dff4c977ba2a319bc90c939d484fa9e227d81049440c431fbf79f079b911c2 +size 40284 diff --git a/llm-srbench/phys_osc/PO17/package.tar.gz b/llm-srbench/phys_osc/PO17/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..c8c1e64c90db44bfb637428c8224e4daacea2cac --- /dev/null +++ b/llm-srbench/phys_osc/PO17/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6cab2bbcbab1ebd2f8317742dc2daf3f415f97806ed892153a1125ed50cd9da5 +size 181401 diff --git a/llm-srbench/phys_osc/PO17/train.csv b/llm-srbench/phys_osc/PO17/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..6d8767e6e95cde87560752320585b0c273511f0a --- /dev/null +++ b/llm-srbench/phys_osc/PO17/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e7729c957fbac3d916d4c5d8d21db49023e98b2d910338aa0be2284beffdb798 +size 268197 diff --git a/llm-srbench/phys_osc/PO17/valid.csv b/llm-srbench/phys_osc/PO17/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..14ce6b74b319b8885c2be31a2feccd6561e709f1 --- /dev/null +++ b/llm-srbench/phys_osc/PO17/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f68ca9432c7e8203fae5fcd704a86e06a69d3d35b0aedbc82058f8a05a4e93b2 +size 38293 diff --git a/llm-srbench/phys_osc/PO18/formula.py b/llm-srbench/phys_osc/PO18/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..0700575cc2cd9d559d5063b8b15de0e2deeb96ec --- /dev/null +++ b/llm-srbench/phys_osc/PO18/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.4465879557417327 + omega0 = 0.3254156367450257 + return -beta * np.sin(x) * v - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO18/id_test.csv b/llm-srbench/phys_osc/PO18/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..946424f947b675a684aad9d984e4432f7b9ff067 --- /dev/null +++ b/llm-srbench/phys_osc/PO18/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc55e3195318113771a04373ee0647f86481fb3779ea7084b4ac2a91063b97bc +size 39725 diff --git a/llm-srbench/phys_osc/PO18/metadata.yaml b/llm-srbench/phys_osc/PO18/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3b78d3b2e93e5462b3b65fc3a782c515f06d352c --- /dev/null +++ b/llm-srbench/phys_osc/PO18/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO18 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.999349057674408, 1.0] + ood_range: [-0.9819529056549072, 0.994635224342346] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.1698004007339478, 1.5313369035720823] + ood_range: [-1.1644198894500732, 1.5248215198516846] + + target: + name: dv_dt + type: continuous + train_range: [-1.928654313087464, 1.928479075431824] + ood_range: [-1.9182265996932983, 1.681288719177246] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO18/ood_test.csv b/llm-srbench/phys_osc/PO18/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..204a7e09f717bef3fef12bec43fbb6fe1670549a --- /dev/null +++ b/llm-srbench/phys_osc/PO18/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c852a2d1426eb04dbb3fa0d9fa442bf5d7064d83d7583ba999f00b864eceef1 +size 39649 diff --git a/llm-srbench/phys_osc/PO18/package.tar.gz b/llm-srbench/phys_osc/PO18/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f198737dbf5720bf0f3d0519614b091ed8199b00 --- /dev/null +++ b/llm-srbench/phys_osc/PO18/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e506e042621e2a3c7381f341a34ca5a7c420c27a9dde17d9940320a6ce4928b7 +size 180810 diff --git a/llm-srbench/phys_osc/PO18/train.csv b/llm-srbench/phys_osc/PO18/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..6f5cb11469a67f26c1bf657ee8346933d065c694 --- /dev/null +++ b/llm-srbench/phys_osc/PO18/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:12c7343f0d67bc060e65fe022921b47ff7ff167b4eebf0368ca823e29b5a58fa +size 267328 diff --git a/llm-srbench/phys_osc/PO18/valid.csv b/llm-srbench/phys_osc/PO18/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..044c30d35f5e52900b3c623dd99e44fcbd8ea84b --- /dev/null +++ b/llm-srbench/phys_osc/PO18/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a17d1460e8c0debc26af0cf69e536e7acdb0f936534ac000378954c614b12233 +size 38209 diff --git a/llm-srbench/phys_osc/PO19/formula.py b/llm-srbench/phys_osc/PO19/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..e44d4dca2c1491544b0dbb0cdee474d275b6850e --- /dev/null +++ b/llm-srbench/phys_osc/PO19/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.1 + omega0 = 1.0 + return -2*beta*v - omega0**2*x*np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO19/id_test.csv b/llm-srbench/phys_osc/PO19/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e13521b6444f11c890c78068e4b917cb9c85c65 --- /dev/null +++ b/llm-srbench/phys_osc/PO19/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0eea1c6012c307f90186cd4860f1c26f2fc4a62e2dd8cad59358cae4d90e0c27 +size 42704 diff --git a/llm-srbench/phys_osc/PO19/metadata.yaml b/llm-srbench/phys_osc/PO19/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6a85b1df0a7db9d7980559b31f7868ac62af2d14 --- /dev/null +++ b/llm-srbench/phys_osc/PO19/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO19 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.410684734582901, 1.0] + ood_range: [-1.0434689102112316e-05, 1.6713227523723617e-05] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.8600519895553588, 0.4488592445850372] + ood_range: [-2.3881411834736355e-05, 1.442924258299172e-05] + + target: + name: dv_dt + type: continuous + train_range: [-1.0283058881759644, 0.8879510164260864] + ood_range: [-3.849720815196633e-05, 3.153636498609558e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO19/ood_test.csv b/llm-srbench/phys_osc/PO19/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5221a8bca1636f0472e4f1c257580a5fba69e33c --- /dev/null +++ b/llm-srbench/phys_osc/PO19/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6acdad7432f9e8d21d3682d9b026103631be588bcd16d31bcb4c6aaa835569a +size 44545 diff --git a/llm-srbench/phys_osc/PO19/package.tar.gz b/llm-srbench/phys_osc/PO19/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..494f69f53f8e91a9869b21818c3c5ef8693fe05e --- /dev/null +++ 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diff --git a/llm-srbench/phys_osc/PO2/formula.py b/llm-srbench/phys_osc/PO2/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..1a345bfd0f456f09c8ea23c6db428893b038d7d8 --- /dev/null +++ b/llm-srbench/phys_osc/PO2/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + alpha = 0.3254156367450257 + mu = 0.3333333333333333 + omega0 = 1.0 + return -alpha * v**3 - mu * (1 - x**2) * v - omega0**2 * x - omega0**2 * x * np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO2/id_test.csv b/llm-srbench/phys_osc/PO2/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5c9de008768ca596cf774400786a4ca6dbe87d9e --- /dev/null +++ b/llm-srbench/phys_osc/PO2/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:028217505e7b9b328aa0663955f9697cf66a7854b3012576fe3ecd96c0150c3f +size 43036 diff --git a/llm-srbench/phys_osc/PO2/metadata.yaml b/llm-srbench/phys_osc/PO2/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..515341195ffe0de181d62be94807d207cdd1403b --- /dev/null +++ b/llm-srbench/phys_osc/PO2/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO2 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.4595103859901428, 1.0] + ood_range: [-2.1229909634712385e-06, 1.728039023873862e-06] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.1410908699035645, 0.5382462739944458] + ood_range: [-3.268611635576235e-06, 3.694039833135321e-06] + + target: + name: dv_dt + type: continuous + train_range: [-1.9798089265823364, 1.202473521232605] + ood_range: [-4.866825292992871e-06, 6.317898169072578e-06] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO2/ood_test.csv b/llm-srbench/phys_osc/PO2/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0909400663eb4c06c29fd8886c49a610558fef0f --- /dev/null +++ b/llm-srbench/phys_osc/PO2/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6a9246d70b8cf8f5677941ac4e53abf63a4a5ab010fb0cea0d29159e14a181b4 +size 44502 diff --git a/llm-srbench/phys_osc/PO2/package.tar.gz b/llm-srbench/phys_osc/PO2/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a3aba6d31e4cff58908e88559e75a263d97975d8 --- /dev/null +++ b/llm-srbench/phys_osc/PO2/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42f4d13ac81d2e4a5ad8752811e74d5ab205a6176f04529e253afcbe8304822f +size 187284 diff --git a/llm-srbench/phys_osc/PO2/train.csv b/llm-srbench/phys_osc/PO2/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..4b5b44ab41c078508c520cefe4b377c48a588622 --- /dev/null +++ b/llm-srbench/phys_osc/PO2/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ab33d1ddc9c4aa5c11a19bee9393f382b526fc7e318123d3432d1cceb91b94af +size 279135 diff --git a/llm-srbench/phys_osc/PO2/valid.csv b/llm-srbench/phys_osc/PO2/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..259c50a717fc105bc574816e08d07494b246142f --- /dev/null +++ b/llm-srbench/phys_osc/PO2/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:14a0ec8dc82728b135d19552e0a34359777f1e16016dc4bc7c3d7a06c3a39ce2 +size 39994 diff --git a/llm-srbench/phys_osc/PO20/formula.py b/llm-srbench/phys_osc/PO20/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..a1391226affe9751f0e979c2fac80d002f58c5ab --- /dev/null +++ b/llm-srbench/phys_osc/PO20/formula.py @@ -0,0 +1,13 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + alpha = 0.3254156367450257 + beta = 0.3333333333333333 + mu = 0.4465879557417327 + omega0 = 1.0 + gamma = 0.5 + return -alpha * v**3 - beta * np.log(np.abs(v) + 1) - 2 * beta * v - mu * (1 - v**2) * v - omega0**2 * (gamma * np.abs(v)**(1/3) + 1) * x diff --git a/llm-srbench/phys_osc/PO20/id_test.csv b/llm-srbench/phys_osc/PO20/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..10b90fa5934085d63e8c4e8957dd2b8fe662fe41 --- /dev/null +++ b/llm-srbench/phys_osc/PO20/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7859ea34cf4023f9beae8e863692f3cd17f70682b282d6eedd492d4d07493cb7 +size 43700 diff --git a/llm-srbench/phys_osc/PO20/metadata.yaml b/llm-srbench/phys_osc/PO20/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..053ee1559df81403cc4ff9957fdbfd221fc2a0b1 --- /dev/null +++ b/llm-srbench/phys_osc/PO20/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO20 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.5685765743255615, 0.99988454580307] + ood_range: [-2.471827258432313e-07, 3.075655001794076e-07] + - name: t + type: continuous + train_range: [0.0080016003921627, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.5165301561355593, 0.587692379951477] + ood_range: [-6.867008437438927e-07, 1.0572484825388528e-06] + + target: + name: dv_dt + type: continuous + train_range: [-3.606544733047485, 2.431224584579468] + ood_range: [-2.7330604552844302e-06, 1.3233598110673483e-06] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO20/ood_test.csv b/llm-srbench/phys_osc/PO20/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e71866bda2e95b1d0d10dcda28d915bdcd02f57 --- /dev/null +++ b/llm-srbench/phys_osc/PO20/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63682289acad1eb82f50873ce0fad06d519cf6fd1611a954723f380e30d4dacd +size 44602 diff --git a/llm-srbench/phys_osc/PO20/package.tar.gz b/llm-srbench/phys_osc/PO20/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5c7664f4ac4f6162458d758bff092448ef48a860 --- /dev/null +++ b/llm-srbench/phys_osc/PO20/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fbcc2c3863cac89f6439bfc08eda720820edcbd7f131d3b4b91a30fb6c9cb45 +size 193548 diff --git a/llm-srbench/phys_osc/PO20/train.csv b/llm-srbench/phys_osc/PO20/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..0c72e850e1e3a3fdd81a2be54bf82cac7c55f1fe --- /dev/null +++ b/llm-srbench/phys_osc/PO20/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e89621c75ac3a483b4e46549ca1e4155df469b79b0653bce4fd95bbd780d1dc0 +size 292198 diff --git a/llm-srbench/phys_osc/PO20/valid.csv b/llm-srbench/phys_osc/PO20/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..f29633a624019e9e7b3c85a0d7daf57ae6e16e5f --- /dev/null +++ b/llm-srbench/phys_osc/PO20/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fd48fc10c9e66dc5f3d5d1210f77934df6003c6e192833837cd38d31a30bb454 +size 41753 diff --git a/llm-srbench/phys_osc/PO21/formula.py b/llm-srbench/phys_osc/PO21/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..a3a276b551e7118935f43718a75ca3a3f7da9d56 --- /dev/null +++ b/llm-srbench/phys_osc/PO21/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + beta = 1.0 + return F0 * np.sin(t) - beta * np.sin(x) * v diff --git a/llm-srbench/phys_osc/PO21/id_test.csv b/llm-srbench/phys_osc/PO21/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cfed1287b914e72c1e46f7ac38454fbbe19eb457 --- /dev/null +++ b/llm-srbench/phys_osc/PO21/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d304ff92398b14e9b632d6838f3eb73b269f2111231f4ac778244e40035eb10d +size 39076 diff --git a/llm-srbench/phys_osc/PO21/metadata.yaml b/llm-srbench/phys_osc/PO21/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..00a98e410800dca23fcc13ac75c2700c171fb613 --- /dev/null +++ b/llm-srbench/phys_osc/PO21/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO21 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [1.0, 23.74178695678711] + ood_range: [23.74827003479004, 25.865697860717773] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.3023664355278015, 1.6640156507492063] + ood_range: [0.0929049178957939, 1.3814769983291626] + + target: + name: dv_dt + type: continuous + train_range: [-0.9748692512512208, 0.9703224301338196] + ood_range: [-0.6024620532989502, 0.8144726753234863] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO21/ood_test.csv b/llm-srbench/phys_osc/PO21/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..584ded8d44761c5d8fd781dc8fbbccf4f80072c5 --- /dev/null +++ b/llm-srbench/phys_osc/PO21/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:701d319f448b4c901fd7b8e6761eb993f9beb637f4c4b8fb2cddf8deaa358f47 +size 38958 diff --git a/llm-srbench/phys_osc/PO21/package.tar.gz b/llm-srbench/phys_osc/PO21/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..40081f34ab613fa1396c1294253e398ddcac91c2 --- /dev/null +++ b/llm-srbench/phys_osc/PO21/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7548483b7a46b3e89aedc46a8152e6a8c9637243e35f45fbf435373c063be9cb +size 176863 diff --git a/llm-srbench/phys_osc/PO21/train.csv b/llm-srbench/phys_osc/PO21/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..91f16aed786d7ee08b1ff06c179313d3d564ed61 --- /dev/null +++ b/llm-srbench/phys_osc/PO21/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c510ad92dc97289ea65a2b8637282a9ffda182588e37355972143e584f022d1c +size 263050 diff --git a/llm-srbench/phys_osc/PO21/valid.csv b/llm-srbench/phys_osc/PO21/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3fbb90d0c431a123653bff25e1fceee8ec8a766 --- /dev/null +++ b/llm-srbench/phys_osc/PO21/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f2b0909eae93a1699b0db203967aa1484a63228d48a0dae9ea991da09f06e463 +size 37637 diff --git a/llm-srbench/phys_osc/PO22/formula.py b/llm-srbench/phys_osc/PO22/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..0e8550231c6735e6d9c34d155bea5d62da90c601 --- /dev/null +++ b/llm-srbench/phys_osc/PO22/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.1 + mu = 0.2 + omega0 = 1.0 + return -2*beta*v - beta*np.exp(-np.abs(x))*v - mu*(1 - x**2)*v - omega0**2*x**3 diff --git a/llm-srbench/phys_osc/PO22/id_test.csv b/llm-srbench/phys_osc/PO22/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a528da9cdc9258555786a0baf684f326b6e776ee --- /dev/null +++ b/llm-srbench/phys_osc/PO22/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:368236bad4205706bd176de880b443fe4bbcd11d6896dda00964a650050e1d88 +size 42022 diff --git a/llm-srbench/phys_osc/PO22/metadata.yaml b/llm-srbench/phys_osc/PO22/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6d8f9d561b6dc3e96c97b5c09cfc939abe7b05e7 --- /dev/null +++ b/llm-srbench/phys_osc/PO22/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO22 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [0.120224580168724, 1.0] + ood_range: [0.1154662817716598, 0.1202043145895004] + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.4673880338668823, 0.0] + ood_range: [-0.0012636955361813, -0.0011171587975695] + + target: + name: dv_dt + type: continuous + train_range: [-1.1598281860351562, 0.3057419061660766] + ood_range: [3.3430893381591886e-05, 4.244404408382252e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO22/ood_test.csv b/llm-srbench/phys_osc/PO22/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..dfdcc271f8129cc815c1cc7125ae8dc27f9a83e6 --- /dev/null +++ b/llm-srbench/phys_osc/PO22/ood_test.csv @@ -0,0 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a/llm-srbench/phys_osc/PO22/valid.csv b/llm-srbench/phys_osc/PO22/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..6e8e2753462f1980515d5f528ab7cb51a419c981 --- /dev/null +++ b/llm-srbench/phys_osc/PO22/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8188ac08a9d006f2b0f7df75afe70b55b4d24f86a60807e2dea4061e0a179c1a +size 38620 diff --git a/llm-srbench/phys_osc/PO23/formula.py b/llm-srbench/phys_osc/PO23/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..79daf5b17a0e53071083d9d253aeee979c679650 --- /dev/null +++ b/llm-srbench/phys_osc/PO23/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + beta = 0.3254156367450257 + omega0 = 0.3333333333333333 + return F0 * np.sin(t) - beta * np.log(np.abs(v) + 1) - omega0**2 * x * np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO23/id_test.csv b/llm-srbench/phys_osc/PO23/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef339e4b37f80818d0ace377a63ea65d014cb102 --- /dev/null +++ b/llm-srbench/phys_osc/PO23/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe458eda73d47efbe53e292a1b7fe8443a0a714fb626b0b21b9450aa13227801 +size 39598 diff --git a/llm-srbench/phys_osc/PO23/metadata.yaml b/llm-srbench/phys_osc/PO23/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..777a8142670c77a5df4677813b427f81087d7574 --- /dev/null +++ b/llm-srbench/phys_osc/PO23/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO23 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-416.4462585449218, 1.0] + ood_range: [-561.6758422851562, -416.7107238769531] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-33.03726577758789, 0.0] + ood_range: [-39.42911911010742, -33.05072021484375] + + target: + name: dv_dt + type: continuous + train_range: [-1.6793532371520996, 0.1484650671482086] + ood_range: [-1.6852951049804688, -1.5259243249893188] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO23/ood_test.csv b/llm-srbench/phys_osc/PO23/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..141549a2c5d75887630fe16bcaff220ee89be7d0 --- /dev/null +++ b/llm-srbench/phys_osc/PO23/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:853308b7a4f78ce7e9a94eacb55a53bf0bab63bbfa14646d43dd0ce0e7c87256 +size 38953 diff --git a/llm-srbench/phys_osc/PO23/package.tar.gz b/llm-srbench/phys_osc/PO23/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..8dd4e09df70ded13cbd9e8551a44018b9437686d --- /dev/null +++ b/llm-srbench/phys_osc/PO23/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5322327b71de8a20e5d772e923ed69353423a8942a758a7457fb112c8875c3ed +size 174937 diff --git a/llm-srbench/phys_osc/PO23/train.csv b/llm-srbench/phys_osc/PO23/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..11def59d0a75035d645db24ef06c497d5ceb2526 --- /dev/null +++ b/llm-srbench/phys_osc/PO23/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1711cee70de095ccfd2a6d57dfc6ac92ec889992d919578c8180d9533705b713 +size 269256 diff --git a/llm-srbench/phys_osc/PO23/valid.csv b/llm-srbench/phys_osc/PO23/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..de176db68205e9b545d39c09184d250c378d9895 --- /dev/null +++ b/llm-srbench/phys_osc/PO23/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:58288431ce4082db5474a1393f7bc1fb3af813e0041707293d15fc0bf7f79127 +size 38528 diff --git a/llm-srbench/phys_osc/PO24/formula.py b/llm-srbench/phys_osc/PO24/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..a2eb8327f19f5957259c4b5e4f72206fead49493 --- /dev/null +++ b/llm-srbench/phys_osc/PO24/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(t, v): + alpha = 0.4465879557417327 + beta = 0.3254156367450257 + F0 = 0.3333333333333333 + return F0 * np.sin(t) - alpha * v**3 - beta * np.log(np.abs(v) + 1) diff --git a/llm-srbench/phys_osc/PO24/id_test.csv b/llm-srbench/phys_osc/PO24/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a958f101cdf098037b4dd8b6545719ca76d33fb1 --- /dev/null +++ b/llm-srbench/phys_osc/PO24/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:50f0ae9b9fd51069faaffefa29325849809262c2040cef7f96a527eb3611cdce +size 29694 diff --git a/llm-srbench/phys_osc/PO24/metadata.yaml b/llm-srbench/phys_osc/PO24/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7a29f7f2014289e1406799af01c61cb9b4cef449 --- /dev/null +++ b/llm-srbench/phys_osc/PO24/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__phys_osc__PO24 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-2.883398056030273, 0.6693575978279113] + ood_range: [-2.883066415786743, -1.8545519113540647] + + target: + name: dv_dt + type: continuous + train_range: [-1.3670774698257446, 0.4637002050876617] + ood_range: [-0.3331382870674133, 0.4637123346328735] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO24/ood_test.csv b/llm-srbench/phys_osc/PO24/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..51d7b452e583de02149c207e91f1a07638caf9a4 --- /dev/null +++ b/llm-srbench/phys_osc/PO24/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:947a79bd2d3f6555c83a1d91a330a58938f26d782e1b7a082e1b7d84990cae31 +size 29477 diff --git a/llm-srbench/phys_osc/PO24/package.tar.gz b/llm-srbench/phys_osc/PO24/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..d9568c4b9cab3954b167f8216cc6b561eb0a4633 --- /dev/null +++ b/llm-srbench/phys_osc/PO24/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c458940bf734b9be3f4ea65beaa76b014473178e21b4db240c4b621120b688a +size 133476 diff --git a/llm-srbench/phys_osc/PO24/train.csv b/llm-srbench/phys_osc/PO24/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f9675f2d72cddc783eff7b3713df62ac3e6f7e8 --- /dev/null +++ b/llm-srbench/phys_osc/PO24/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:955639f565f5b08b0a02b7b139ad355c8b78fcf97c8905721076e76d23ab7ee8 +size 200310 diff --git a/llm-srbench/phys_osc/PO24/valid.csv b/llm-srbench/phys_osc/PO24/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..dfe6dda4e40bfc421b415f67b3e4d1e61318e1bf --- /dev/null +++ b/llm-srbench/phys_osc/PO24/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b54c9ecad9aacab44b5ca2ea26d3cdfc3df869f77756c515257c4fdfeaa4436b +size 28621 diff --git a/llm-srbench/phys_osc/PO25/formula.py b/llm-srbench/phys_osc/PO25/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..f36f72ce3953de20950a60501a294ecad04e17f1 --- /dev/null +++ b/llm-srbench/phys_osc/PO25/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(t, v): + F0 = 0.3254156367450257 + beta = 0.3333333333333333 + return F0 * np.sin(t) - beta * np.sin(v) diff --git a/llm-srbench/phys_osc/PO25/id_test.csv b/llm-srbench/phys_osc/PO25/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..55f765a99b99691bda86992364ea94bfe70757a1 --- /dev/null +++ b/llm-srbench/phys_osc/PO25/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea15b218a9b0887f537346357adec040ba1bf008a22a84ac978406856ae08dd2 +size 29877 diff --git a/llm-srbench/phys_osc/PO25/metadata.yaml b/llm-srbench/phys_osc/PO25/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..11766b8884be7b58dd87ecad52e9bb9cecd74dd5 --- /dev/null +++ b/llm-srbench/phys_osc/PO25/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__phys_osc__PO25 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0080016003921627, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.7307751774787902, 0.8161269426345825] + ood_range: [-0.7298831343650817, 0.7186492681503295] + + target: + name: dv_dt + type: continuous + train_range: [-0.7504023313522338, 0.7263163328170776] + ood_range: [-0.6051912903785704, 0.7259606719017028] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO25/ood_test.csv b/llm-srbench/phys_osc/PO25/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4ee0b36e31987011ec9076fe9ba7360735731b8d --- /dev/null +++ b/llm-srbench/phys_osc/PO25/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e4530fdffb4cd79ac503feacec0560b2b7776429d8eba12a8f877ffc7a8132dd +size 29861 diff --git a/llm-srbench/phys_osc/PO25/package.tar.gz b/llm-srbench/phys_osc/PO25/package.tar.gz new file mode 100644 index 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https://git-lfs.github.com/spec/v1 +oid sha256:16510c77e61a67bea0ac98672315de1eb93372014323aadfb4f8a2acb921c217 +size 28543 diff --git a/llm-srbench/phys_osc/PO26/formula.py b/llm-srbench/phys_osc/PO26/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..5fafdcd9100d10e43aa708d05d412d098381014e --- /dev/null +++ b/llm-srbench/phys_osc/PO26/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + beta = 0.3254156367450257 + omega0 = 0.3333333333333333 + return F0 * np.sin(t) - beta * np.log(np.abs(v) + 1) - 2 * beta * v - omega0**2 * x**3 diff --git a/llm-srbench/phys_osc/PO26/id_test.csv b/llm-srbench/phys_osc/PO26/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8b7e18b5eb6c60904f8ff0db8ccb163b6ca37c3a --- /dev/null +++ b/llm-srbench/phys_osc/PO26/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:771db02faad8ea5beef7a9a7b4380d7a4edbf67bcc00c9523bd644a9e7406cbf +size 40481 diff --git a/llm-srbench/phys_osc/PO26/metadata.yaml b/llm-srbench/phys_osc/PO26/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1aaf852fe31b00791c38de1159b91c2ca8dcaf7f --- /dev/null +++ b/llm-srbench/phys_osc/PO26/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO26 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.6010868549346923, 0.9999216198921204] + ood_range: [-0.5166120529174804, 0.0797202587127685] + - name: t + type: continuous + train_range: [0.0080016003921627, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.8231354355812072, 0.3223762214183807] + ood_range: [-0.354621022939682, 0.3052409887313842] + + target: + name: dv_dt + type: continuous + train_range: [-2.4400556087493896, 0.583976149559021] + ood_range: [-0.2550743222236633, 0.5252442955970764] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO26/ood_test.csv b/llm-srbench/phys_osc/PO26/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..00d20f5fedbc902e20768cafcde6747aae730eb4 --- /dev/null +++ b/llm-srbench/phys_osc/PO26/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c96dd801f020d0e3bba8f0822e12f0d80232ef3791f2e17d1db5e624c4e7a5a9 +size 40518 diff --git a/llm-srbench/phys_osc/PO26/package.tar.gz b/llm-srbench/phys_osc/PO26/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0ef609be1215b1f55d869895b8b2d49fe24a2364 --- /dev/null +++ b/llm-srbench/phys_osc/PO26/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fa42ad65f364c53f663af44cebfcfffba397db4c19e1056c3d09a6d5d5696085 +size 181595 diff --git a/llm-srbench/phys_osc/PO26/train.csv b/llm-srbench/phys_osc/PO26/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..0a7df80e4fdaa02c6d3db251ffc55e40ad0270d5 --- /dev/null +++ b/llm-srbench/phys_osc/PO26/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fbf9c0618ee64d72817a982025c90d74b415850eae6ab92f7bb48e0b0ee19298 +size 268886 diff --git a/llm-srbench/phys_osc/PO26/valid.csv b/llm-srbench/phys_osc/PO26/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..3b27a37d1273b7e8b5fa0b24e4e2ba2a8f4f13b2 --- /dev/null +++ b/llm-srbench/phys_osc/PO26/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2852c31d17ca7e42478db0e05c85181270865335b7d95f7fbf16746ed4eac93e +size 38458 diff --git a/llm-srbench/phys_osc/PO27/formula.py b/llm-srbench/phys_osc/PO27/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..eaf4636b1a995484841a6334c69989e5a74059e0 --- /dev/null +++ b/llm-srbench/phys_osc/PO27/formula.py @@ -0,0 +1,8 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(t, v, F0, alpha, beta): + return F0 * np.sin(t) - alpha * v**3 - 2 * beta * v - beta * np.exp(-np.abs(v)) * v diff --git a/llm-srbench/phys_osc/PO27/id_test.csv b/llm-srbench/phys_osc/PO27/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..69f543a7f5a87aecad7cc412be9259369c3812d2 --- /dev/null +++ b/llm-srbench/phys_osc/PO27/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b80c88537bac32167f2649c26e96c1afd690837d4588a875feab633101906806 +size 39471 diff --git a/llm-srbench/phys_osc/PO27/metadata.yaml b/llm-srbench/phys_osc/PO27/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..982588f742101a11550971c5307882d843aed7e8 --- /dev/null +++ b/llm-srbench/phys_osc/PO27/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO27 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [1.0, 2.172699213027954] + ood_range: [1.2109360694885254, 2.0748353004455566] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.4820029139518737, 0.518990933895111] + ood_range: [-0.4817389547824859, 0.4799458384513855] + + target: + name: dv_dt + type: continuous + train_range: [-0.4898568391799926, 0.4801454246044158] + ood_range: [-0.3784382045269012, 0.4796943664550781] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO27/ood_test.csv b/llm-srbench/phys_osc/PO27/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e478e38c71de9cbb8393fbeb133da2fdef86d16d --- /dev/null +++ b/llm-srbench/phys_osc/PO27/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a0dbf026527df9fe235fc0810273ffaba8b40c943d010cfcf37fabba01c8a407 +size 39325 diff --git a/llm-srbench/phys_osc/PO27/package.tar.gz b/llm-srbench/phys_osc/PO27/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0e0326a391d9c9c225235812d9ecc615097fa267 --- /dev/null +++ b/llm-srbench/phys_osc/PO27/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:979ea36415569bfa4e92dd4be627a035540e8be13ee7a3b2238a20495f381401 +size 178227 diff --git a/llm-srbench/phys_osc/PO27/train.csv b/llm-srbench/phys_osc/PO27/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef5a5a6f0a5f57dc65200c01b71c4280f4d7c1ce --- /dev/null +++ b/llm-srbench/phys_osc/PO27/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73a1319bac31fe93204c3d1df95a502a5f9f62478646c327802165f6561e9b68 +size 265215 diff --git a/llm-srbench/phys_osc/PO27/valid.csv b/llm-srbench/phys_osc/PO27/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..74e300a4afde2f4052689aba7e03898bcae378ed --- /dev/null +++ b/llm-srbench/phys_osc/PO27/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:495126d4f3326c24d66df24c15bab9d075aa89c2ee9c5fdf6951b350a9e26ff9 +size 37886 diff --git a/llm-srbench/phys_osc/PO28/formula.py b/llm-srbench/phys_osc/PO28/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..c160126ec95ecabf6b237ab01752609cd695a5f8 --- /dev/null +++ b/llm-srbench/phys_osc/PO28/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.3254156367450257 + omega0 = 0.3333333333333333 + gamma = 0.4465879557417327 + return -2*beta*v - omega0**2*(gamma*np.abs(v)**(1/3) + 1)*x - omega0**2*x**3 - omega0**2*x diff --git a/llm-srbench/phys_osc/PO28/id_test.csv b/llm-srbench/phys_osc/PO28/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1a2c3697969fe4919f3ec609df8ff967053a6709 --- /dev/null +++ b/llm-srbench/phys_osc/PO28/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f01f70a7d52df444d334fda755715258a8bc174a736601c9e1fe8953bbf97c3 +size 43910 diff --git a/llm-srbench/phys_osc/PO28/metadata.yaml b/llm-srbench/phys_osc/PO28/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e0de2d1a58b6e874630ddecc5cb277fda274eda6 --- /dev/null +++ b/llm-srbench/phys_osc/PO28/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO28 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.3531135916709899, 1.0] + ood_range: [-4.894974949820608e-07, 2.754936474502756e-07] + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.9563103914260864, 0.5971975922584533] + ood_range: [-1.2770193507094518e-06, 9.087730745704903e-07] + + target: + name: dv_dt + type: continuous + train_range: [-10.314281463623049, 3.33238172531128] + ood_range: [-2.3197287646326004e-06, 3.18351931127836e-06] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO28/ood_test.csv b/llm-srbench/phys_osc/PO28/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..813184e4303de6202fe5551554f5f90f96cabe29 --- /dev/null +++ b/llm-srbench/phys_osc/PO28/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c82e897523a0d2d9910ee754d9b6fd8fa5682a4997c3e8c1f3616856eab7f5e9 +size 44482 diff --git a/llm-srbench/phys_osc/PO28/package.tar.gz b/llm-srbench/phys_osc/PO28/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..dce3a59bc6c275b3c052ae470c533e147eb7f6b3 --- /dev/null +++ b/llm-srbench/phys_osc/PO28/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f2fab219e6fbb58e7590cbdc50bb6d700902e59c2b10f0cac8f88db117c76c84 +size 193982 diff --git a/llm-srbench/phys_osc/PO28/train.csv b/llm-srbench/phys_osc/PO28/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..41a19fdd9d6fc0940ec0e87c05944dcfcafebaa0 --- /dev/null +++ b/llm-srbench/phys_osc/PO28/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c023526a084f722bd887e6306a2b1f1ae94670921b3e3da90fb33138ca7d1fda +size 293745 diff --git a/llm-srbench/phys_osc/PO28/valid.csv b/llm-srbench/phys_osc/PO28/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..0c552a76b84fdc3511ff972dd63ca5a38cb73590 --- /dev/null +++ b/llm-srbench/phys_osc/PO28/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dd594366888ac9dbbdaa93adead9859e2a872b0b62769f7b7000e41bc2a807e5 +size 41918 diff --git a/llm-srbench/phys_osc/PO29/formula.py b/llm-srbench/phys_osc/PO29/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..aec0bfe29699fa1421df260880a0afe4cf8be654 --- /dev/null +++ b/llm-srbench/phys_osc/PO29/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + mu = 0.1 + omega0 = 1.0 + gamma = 0.5 + return -mu*(1 - x**2)*v - omega0**2*(gamma*t + 1)*x - omega0**2*x**3 diff --git a/llm-srbench/phys_osc/PO29/id_test.csv b/llm-srbench/phys_osc/PO29/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e43016ec11dbaff775346bce380db395ad2b205e --- /dev/null +++ b/llm-srbench/phys_osc/PO29/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc0e13e31e13ff33f8e06d02119233583316b8a07b44a816f262379d45cb652c +size 41857 diff --git a/llm-srbench/phys_osc/PO29/metadata.yaml b/llm-srbench/phys_osc/PO29/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c35661daa8af79d3c5ad708ea1df637fe22a1050 --- /dev/null +++ b/llm-srbench/phys_osc/PO29/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO29 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.728827953338623, 1.0] + ood_range: [-0.0002508265606593, 0.0003712432226166] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.3043968677520752, 0.8559100031852722] + ood_range: [-0.0005519586266018, 0.0008073867065832] + + target: + name: dv_dt + type: continuous + train_range: [-2.9432461261749268, 1.7168117761611938] + ood_range: [-0.0011989457998424, 0.0008301619673147] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO29/ood_test.csv b/llm-srbench/phys_osc/PO29/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..adafe1f785d60244c0e8a611e690714d905fd0e9 --- /dev/null +++ b/llm-srbench/phys_osc/PO29/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:95a8f9888d76a5213b0afc3c096fc2ed44f67ca2305cfcc8e515aa8bcb7442c4 +size 44438 diff --git a/llm-srbench/phys_osc/PO29/package.tar.gz b/llm-srbench/phys_osc/PO29/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..04a04705f49036fd1e84b798b6c638641d9d3475 --- /dev/null +++ b/llm-srbench/phys_osc/PO29/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63f4f952ebf3ae8775ca5d761e83f4ed8a8e2c07328d795218f1d19b037b5926 +size 181175 diff --git a/llm-srbench/phys_osc/PO29/train.csv b/llm-srbench/phys_osc/PO29/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..b8514741d282c18efb0b570e6da692a0c8862f71 --- /dev/null +++ b/llm-srbench/phys_osc/PO29/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8225c7d0a2a044979cdae82e57d0d654f59b8ec76c092c33e66629c5fb60b7b3 +size 268332 diff --git a/llm-srbench/phys_osc/PO29/valid.csv b/llm-srbench/phys_osc/PO29/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc4f5ed666df826c3ed1a22b6a878f0a335b79c0 --- /dev/null +++ b/llm-srbench/phys_osc/PO29/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d563161ddc2b861e39bb237925b9a5e4d676cd06d649c4de0674f1431f5c0869 +size 38372 diff --git a/llm-srbench/phys_osc/PO3/formula.py b/llm-srbench/phys_osc/PO3/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..ecdcc8772799fff098791c3bf0f78ee1b5a184e0 --- /dev/null +++ b/llm-srbench/phys_osc/PO3/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(t, v): + F0 = 1.0 + beta = 1.0 + return F0 * np.sin(t) - beta * np.sin(v) - 2 * beta * v diff --git a/llm-srbench/phys_osc/PO3/id_test.csv b/llm-srbench/phys_osc/PO3/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ffdf8350e97d7fa91230409b76d8fa7c56595588 --- /dev/null +++ b/llm-srbench/phys_osc/PO3/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7eeff3bc00545b9f74989d2726a88e0b4ced1c1aa3aa9d165cd95eb064ce5204 +size 30934 diff --git a/llm-srbench/phys_osc/PO3/metadata.yaml b/llm-srbench/phys_osc/PO3/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a5af5afc9a142a76137789bc225871e26a0c7e66 --- /dev/null +++ b/llm-srbench/phys_osc/PO3/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: llm-srbench__phys_osc__PO3 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.0602415241301059, 0.0617460645735263] + ood_range: [-0.0602417029440402, 0.060226883739233] + + target: + name: dv_dt + type: continuous + train_range: [-0.0604438632726669, 0.0602075792849063] + ood_range: [-0.0398568660020828, 0.0602040141820907] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git 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0000000000000000000000000000000000000000..43b4b253b15c6f4c7677bfbec773512ad91a5804 --- /dev/null +++ b/llm-srbench/phys_osc/PO3/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32cc0a6554458b2afeb5a0e599000e0cc287e76b7a416ae841d2424ad242e907 +size 200132 diff --git a/llm-srbench/phys_osc/PO3/valid.csv b/llm-srbench/phys_osc/PO3/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..d7b2b0003a9750c308e749e216a9740496fce244 --- /dev/null +++ b/llm-srbench/phys_osc/PO3/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72a6551c47ac8ed0dbe3b2790094146b0d7572fe9614b1b1cdc5153c860e874b +size 28606 diff --git a/llm-srbench/phys_osc/PO30/formula.py b/llm-srbench/phys_osc/PO30/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..eb2640c3ccb5afa604b921c10b20a20385541c81 --- /dev/null +++ b/llm-srbench/phys_osc/PO30/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + alpha = 0.4465879557417327 + beta = 0.3254156367450257 + omega0 = 0.3333333333333333 + return -alpha*v**3 - beta*np.sin(x)*v - beta*np.sin(v) - omega0**2*x**3 diff --git a/llm-srbench/phys_osc/PO30/id_test.csv b/llm-srbench/phys_osc/PO30/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0adbac07ed9692989525fb9c36d2cb6f5c1253d2 --- /dev/null +++ b/llm-srbench/phys_osc/PO30/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e38c501813ac5c2ec02d8f926c808185335f1a98fa1c7aa3ca681956f1133f7 +size 41100 diff --git a/llm-srbench/phys_osc/PO30/metadata.yaml b/llm-srbench/phys_osc/PO30/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9f4f5811411c102468cefb8bf7924b8438a4f75f --- /dev/null +++ b/llm-srbench/phys_osc/PO30/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO30 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.8315969109535217, 1.0] + ood_range: [-0.0674804598093032, -0.0578554570674896] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.218649983406067, 0.9075387716293336] + ood_range: [-0.0056521692313253, 0.0004324107430875] + + target: + name: dv_dt + type: continuous + train_range: [-3.997655153274536, 2.299184560775757] + ood_range: [0.0011450358433648, 0.0018175977747887] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO30/ood_test.csv b/llm-srbench/phys_osc/PO30/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c3057adab68ae859a2f6dc8fff6a1e75837c65c --- /dev/null +++ b/llm-srbench/phys_osc/PO30/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4092df3b973ed5f5b394d62c61c980065c42192911a82ebf95d5e29d414de79 +size 42870 diff --git a/llm-srbench/phys_osc/PO30/package.tar.gz b/llm-srbench/phys_osc/PO30/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..cd9487d551104c44c56905f0db35766d9dfa4081 --- /dev/null +++ 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diff --git a/llm-srbench/phys_osc/PO31/formula.py b/llm-srbench/phys_osc/PO31/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..971ac5548ad0eb37b3f76467cf5a1abdc021bfae --- /dev/null +++ b/llm-srbench/phys_osc/PO31/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + omega0 = 1.0 + gamma = 1.0 + return -omega0**2*(gamma*np.abs(v)**0.333333333333333 + 1)*x - omega0**2*x**3 diff --git a/llm-srbench/phys_osc/PO31/id_test.csv b/llm-srbench/phys_osc/PO31/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ba34f4ece5c45a8bd093f114d38ff762e4dccf92 --- /dev/null +++ b/llm-srbench/phys_osc/PO31/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6bb2887c1a20659d0da3402d01ec477997c230b69b48f6d1ceecdd701db51a7b +size 39426 diff --git a/llm-srbench/phys_osc/PO31/metadata.yaml b/llm-srbench/phys_osc/PO31/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bf623aa87bfdff53870a33d51a7734be1c603a11 --- /dev/null +++ b/llm-srbench/phys_osc/PO31/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO31 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.004961013793945, 1.0049901008605957] + ood_range: [-1.002762794494629, 1.004757523536682] + - name: t + type: continuous + train_range: [0.0240048002451658, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.6189279556274414, 1.6190749406814575] + ood_range: [-1.6144671440124512, 1.617397665977478] + + target: + name: dv_dt + type: continuous + train_range: [-3.4235315322875977, 3.423278570175171] + ood_range: [-3.4221441745758057, 3.4079911708831787] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO31/ood_test.csv b/llm-srbench/phys_osc/PO31/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ffaff4e2f5a0416a6c3bfabc2936a7cd61e8c73f --- /dev/null +++ b/llm-srbench/phys_osc/PO31/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1316dc81d514a5d9327e90bb636571fd9239f917d080cf244d38c995ad6da795 +size 39384 diff --git a/llm-srbench/phys_osc/PO31/package.tar.gz b/llm-srbench/phys_osc/PO31/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..1eaf44a258ad70f66026ca5d560d9b413d2c4a1e --- /dev/null +++ b/llm-srbench/phys_osc/PO31/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4e6a673fb56cc9bed7c59c78683d6f07dc2f4b44b2ca19f92e1b3e4f2baa0043 +size 180308 diff --git a/llm-srbench/phys_osc/PO31/train.csv b/llm-srbench/phys_osc/PO31/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..63dc7a92be1f53443b84bc85dac90eab82fd6c87 --- /dev/null +++ b/llm-srbench/phys_osc/PO31/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7bb0bc7888b77fb454ecb8777c4e02691eead92dc672cf9eebe987720c56993 +size 266670 diff --git a/llm-srbench/phys_osc/PO31/valid.csv b/llm-srbench/phys_osc/PO31/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..bce37c8ec2b23508975169302bcfe2df1bb10fc9 --- /dev/null +++ b/llm-srbench/phys_osc/PO31/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e4413499bb7afa15dc573cc522cda0a5ada0dee4d7778937b15bd8420d634d16 +size 38077 diff --git a/llm-srbench/phys_osc/PO32/formula.py b/llm-srbench/phys_osc/PO32/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..22d7d7efb91f8aa2b83b4b31e13ef43c8e98b7be --- /dev/null +++ b/llm-srbench/phys_osc/PO32/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + alpha = 0.3254156367450257 + beta = 0.3333333333333333 + omega0 = 0.5 + return F0 * np.sin(t) - alpha * v**3 - beta * np.exp(-np.abs(v)) * v - omega0**2 * x**3 diff --git a/llm-srbench/phys_osc/PO32/id_test.csv b/llm-srbench/phys_osc/PO32/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..253f7b47ef8a4163a5c4b70d3d7aecf020aa8f74 --- /dev/null +++ b/llm-srbench/phys_osc/PO32/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f9af977245b03257f5088700c51b9140ba039838096cc9951832f6aa34c9052 +size 40249 diff --git a/llm-srbench/phys_osc/PO32/metadata.yaml b/llm-srbench/phys_osc/PO32/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b8aee0f213673726716a97628e6583d1dbb79943 --- /dev/null +++ b/llm-srbench/phys_osc/PO32/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO32 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.9835116863250732, 1.0] + ood_range: [-0.8869833946228027, 0.8821513056755065] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.999621331691742, 0.9350159764289856] + ood_range: [-0.7095072269439697, 0.731912076473236] + + target: + name: dv_dt + type: continuous + train_range: [-2.9429090023040767, 2.3140692710876465] + ood_range: [-1.5418621301651, 1.5750526189804075] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO32/ood_test.csv b/llm-srbench/phys_osc/PO32/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5f028060d8cc795d2425af29eb2e9a8a6529043c --- /dev/null +++ b/llm-srbench/phys_osc/PO32/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ca48981621cb7e273d1f47a5ef1e5ad80fe7699861a26a7b1b88795a796b9738 +size 39912 diff --git a/llm-srbench/phys_osc/PO32/package.tar.gz b/llm-srbench/phys_osc/PO32/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..47fe3f3e2a47c0758dea8330c5a18e18dc9245e0 --- /dev/null +++ b/llm-srbench/phys_osc/PO32/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f02734fffd90379b16699585c82807e1178e36782ebc3f3aac983082bb874450 +size 181950 diff --git a/llm-srbench/phys_osc/PO32/train.csv b/llm-srbench/phys_osc/PO32/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..11d5e258889dd522ba3d197b82c30a2378206ab0 --- /dev/null +++ b/llm-srbench/phys_osc/PO32/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98d3b1bd6f74b4c6d8fdfc0eaf4fd03ade23557d67096e188d833a508276c0db +size 267981 diff --git a/llm-srbench/phys_osc/PO32/valid.csv b/llm-srbench/phys_osc/PO32/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab52523c3812a819bb3cf07072c5351772ecf6b2 --- /dev/null +++ b/llm-srbench/phys_osc/PO32/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:53aabe9c7a7d003d33cc5df506d75046904f809cc76f85d590281ed43122f19c +size 38289 diff --git a/llm-srbench/phys_osc/PO33/formula.py b/llm-srbench/phys_osc/PO33/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..0caaea730a62296138882ddb47e8fe778aefcc24 --- /dev/null +++ b/llm-srbench/phys_osc/PO33/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.1 + mu = 0.2 + omega0 = 1.0 + gamma = 0.5 + return -2*beta*v - mu*(1 - v**2)*v - omega0**2*(gamma*t + 1)*x - omega0**2*x diff --git a/llm-srbench/phys_osc/PO33/id_test.csv b/llm-srbench/phys_osc/PO33/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..360ebda7b2c1db5ab3a5da5ea33d4716a2c8f297 --- /dev/null +++ b/llm-srbench/phys_osc/PO33/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:efddefcab95df12930152acae3ecc6f8f60c8f8d8320e7fa416b78f0c3c88862 +size 43979 diff --git a/llm-srbench/phys_osc/PO33/metadata.yaml b/llm-srbench/phys_osc/PO33/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6ebeaff050c9fed5cb86d4ac9dc972d484642d1b --- /dev/null +++ b/llm-srbench/phys_osc/PO33/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO33 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.2794465124607086, 1.0] + ood_range: [-4.943246381117206e-07, 5.303218131302857e-07] + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.4176028966903689, 0.350675880908966] + ood_range: [-1.2054416629325717e-06, 1.60069987487077e-06] + + target: + name: dv_dt + type: continuous + train_range: [-4.998692512512207, 2.330472230911255] + ood_range: [-6.144880899228156e-06, 5.632927241094876e-06] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO33/ood_test.csv b/llm-srbench/phys_osc/PO33/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c2fd2cf884ec0932001e8cd0f9af99c7a529ccd0 --- /dev/null +++ b/llm-srbench/phys_osc/PO33/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32d91d320ff013c5e52d0fee56fa0d89c4aa0c75103a9e9086e72c1b5a4361e5 +size 44523 diff --git a/llm-srbench/phys_osc/PO33/package.tar.gz b/llm-srbench/phys_osc/PO33/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..10a4b49a4ee91057b15ac7a508f169393e8fd8c7 --- /dev/null +++ b/llm-srbench/phys_osc/PO33/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:111612e364451a104bd2e0d1f8f9fe8035286026ace1c9bbe6b26d031d06eaa4 +size 194526 diff --git a/llm-srbench/phys_osc/PO33/train.csv b/llm-srbench/phys_osc/PO33/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..662050a4fca7fc7f77ac8b1910f4ccb9a1e7289c --- /dev/null +++ b/llm-srbench/phys_osc/PO33/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da12311de19419cdbf5029398e9925b4acbe137710bc16e1c41cbe473b84d7a7 +size 295252 diff --git a/llm-srbench/phys_osc/PO33/valid.csv b/llm-srbench/phys_osc/PO33/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..9f715bb63fd86cfddf52d85507b1c0560b19a53a --- /dev/null +++ b/llm-srbench/phys_osc/PO33/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0fa649d0918d970c6d2dbdd8da82f8fe240511086a06377448cf785f1f75fec +size 42416 diff --git a/llm-srbench/phys_osc/PO34/formula.py b/llm-srbench/phys_osc/PO34/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..c3f12873801131cb5389eba91066f7a699bbe9e5 --- /dev/null +++ b/llm-srbench/phys_osc/PO34/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.3254156367450257 + mu = 0.4465879557417327 + omega0 = 0.3333333333333333 + gamma = 0.4465879557417327 + return -2*beta*v - mu*(1 - v**2)*v - omega0**2*(gamma*np.abs(v)**0.333333333333333 + 1)*x diff --git a/llm-srbench/phys_osc/PO34/id_test.csv b/llm-srbench/phys_osc/PO34/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..849d97c5be692252d740a1f871669992d4ad6c4d --- /dev/null +++ b/llm-srbench/phys_osc/PO34/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:208bc5068a42420896be870d7fe03ec74b606c8e1261a368916ff3822ead8930 +size 43858 diff --git a/llm-srbench/phys_osc/PO34/metadata.yaml b/llm-srbench/phys_osc/PO34/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..17a3fb48e5f64bd56775d98b5c82c0408d0230e8 --- /dev/null +++ b/llm-srbench/phys_osc/PO34/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO34 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.2366608530282974, 1.0] + ood_range: [-6.004422630212504e-07, 2.089357451495744e-07] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.9572187066078186, 0.1931267529726028] + ood_range: [-4.520310881162004e-08, 5.208571565162856e-07] + + target: + name: dv_dt + type: continuous + train_range: [-2.4407713413238525, 1.051765203475952] + ood_range: [-5.30502973106195e-07, 7.287823109436431e-07] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO34/ood_test.csv b/llm-srbench/phys_osc/PO34/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9206fd576d8f5c35493c3b9dc3a68ac9a93da6db --- /dev/null +++ b/llm-srbench/phys_osc/PO34/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3105afb73079906367fdf83b75676e90141845ee77f1f417b50e7fc892e880d9 +size 44494 diff --git a/llm-srbench/phys_osc/PO34/package.tar.gz b/llm-srbench/phys_osc/PO34/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e378d8214e392ed622b5d8b4f097e919956193ca --- /dev/null +++ b/llm-srbench/phys_osc/PO34/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9a3aa7ce078f29925c02dadf2e607f55b9af62ebca9b3306e564f94aa44ce69 +size 193415 diff --git a/llm-srbench/phys_osc/PO34/train.csv b/llm-srbench/phys_osc/PO34/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..275bce6c1d3b37697d22139392d9691f665f39ee --- /dev/null +++ b/llm-srbench/phys_osc/PO34/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de8d7eac61808c921549ff27f15f0bb922172e713eb073c17968b1e549b811d1 +size 292681 diff --git a/llm-srbench/phys_osc/PO34/valid.csv b/llm-srbench/phys_osc/PO34/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..54fd3e171e026344bb4284e289c21e7773d51cbc --- /dev/null +++ b/llm-srbench/phys_osc/PO34/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91e6ed28ac9c09f3e42045d4f640f8c045855629c6de9e452323d944437ac47f +size 41827 diff --git a/llm-srbench/phys_osc/PO35/formula.py b/llm-srbench/phys_osc/PO35/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..f8a646d24b1632c36777d3b47afe6383c0489922 --- /dev/null +++ b/llm-srbench/phys_osc/PO35/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + beta = 1.0 + omega0 = 1.0 + gamma = 1.0 + return F0 * np.sin(t) - beta * np.sin(v) - omega0**2 * (gamma * np.abs(v)**(1.0/3.0) + 1.0) * x diff --git a/llm-srbench/phys_osc/PO35/id_test.csv b/llm-srbench/phys_osc/PO35/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..912931e2997de48f2c63b04f6370c0f3c247039f --- /dev/null +++ b/llm-srbench/phys_osc/PO35/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:536ca5debb01cb5fe8e39de10686a1008beb5ed4235220665bc6096ed7dfb546 +size 41528 diff --git a/llm-srbench/phys_osc/PO35/metadata.yaml b/llm-srbench/phys_osc/PO35/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..49d14900a5151d4333de70ff7b27ff6dc511ac7c --- /dev/null +++ b/llm-srbench/phys_osc/PO35/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO35 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.5305538773536682, 0.9998897910118104] + ood_range: [-0.0383371450006961, 0.0383434556424617] + - name: t + type: continuous + train_range: [0.0080016003921627, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.4462974071502686, 0.7679901123046875] + ood_range: [-0.017208257690072, 0.0384859293699264] + + target: + name: dv_dt + type: continuous + train_range: [-3.438438653945923, 2.1901772022247314] + ood_range: [-0.0377897806465625, 0.0377823077142238] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO35/ood_test.csv b/llm-srbench/phys_osc/PO35/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a71c2d0cde20d2be4e2ddd7dbf541735f77f5e91 --- /dev/null +++ b/llm-srbench/phys_osc/PO35/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36b26c69e5618e4035d289b13a6e0a4f07ebb5d86ffc3f1cb564e4ec5716716f +size 41656 diff --git a/llm-srbench/phys_osc/PO35/package.tar.gz b/llm-srbench/phys_osc/PO35/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..805423085fb7d3f32a602fe6b4f16977d3766921 --- /dev/null +++ b/llm-srbench/phys_osc/PO35/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a65cf0e8147cbf40d5b47554295e5a689f52e7c3dfc09513ca11b52571ed514e +size 179777 diff --git a/llm-srbench/phys_osc/PO35/train.csv b/llm-srbench/phys_osc/PO35/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..85e1e100e3285ef4e114fdbce36996d731133efd --- /dev/null +++ b/llm-srbench/phys_osc/PO35/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:78be25daf13e4aabcf95e30557d3580a932cbefab990daedf2fd542d193442eb +size 268134 diff --git a/llm-srbench/phys_osc/PO35/valid.csv b/llm-srbench/phys_osc/PO35/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd857f90e8f31f384e306516bd5a63526fe8e1f5 --- /dev/null +++ b/llm-srbench/phys_osc/PO35/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11e8eced385367b2cfb957bf106a1df462720f56e89937766801974facc7e5e0 +size 38266 diff --git a/llm-srbench/phys_osc/PO36/formula.py b/llm-srbench/phys_osc/PO36/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..0b582f7dcfedb4c6b7c094ead03c21e783aa5751 --- /dev/null +++ b/llm-srbench/phys_osc/PO36/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + beta = 0.3254156367450257 + return F0 * np.sin(t) - beta * np.exp(-np.abs(x)) * v diff --git a/llm-srbench/phys_osc/PO36/id_test.csv b/llm-srbench/phys_osc/PO36/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c03edf8ba4ec8faeb39fb67df20c393c66e25a40 --- /dev/null +++ b/llm-srbench/phys_osc/PO36/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dee496370f88436b5e9e93681ccab2856d62c361cd83fbe2b942b92b2e655474 +size 39767 diff --git a/llm-srbench/phys_osc/PO36/metadata.yaml b/llm-srbench/phys_osc/PO36/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d3659bcb6a7195e8a350a1b8b7b17f78b18de051 --- /dev/null +++ b/llm-srbench/phys_osc/PO36/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO36 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [1.0, 3.312579870223999] + ood_range: [3.099587917327881, 3.3202619552612305] + - name: t + type: continuous + train_range: [0.0080016003921627, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.1221514716744422, 0.2652005553245544] + ood_range: [-0.1255706697702407, 0.1350541114807128] + + target: + name: dv_dt + type: continuous + train_range: [-0.1619829386472702, 0.1553582400083541] + ood_range: [-0.1564565002918243, 0.1555571556091308] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO36/ood_test.csv b/llm-srbench/phys_osc/PO36/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..3016691cce7b80555fe1f34967c720e49866080b --- /dev/null +++ b/llm-srbench/phys_osc/PO36/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce86dc2f0d5a23d5de4447487af124a6c5996db5a644b9b3be85872c42bac98a +size 39878 diff --git a/llm-srbench/phys_osc/PO36/package.tar.gz b/llm-srbench/phys_osc/PO36/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ae72b7d8eb85e28d77d1617a33f5401b77572736 --- /dev/null +++ b/llm-srbench/phys_osc/PO36/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87ad3b94235653e10b7247b4ff304129429410c162af2f31b35b5d1b29cd328d +size 177624 diff --git a/llm-srbench/phys_osc/PO36/train.csv b/llm-srbench/phys_osc/PO36/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..d4de3e5d0a4ead3a5b9336ba96eb77781c5aeac3 --- /dev/null +++ b/llm-srbench/phys_osc/PO36/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d868c5675ce09f9a9bfaa5fd2246be5143b9fa520e3e64b6f3291894de80b27 +size 264388 diff --git a/llm-srbench/phys_osc/PO36/valid.csv b/llm-srbench/phys_osc/PO36/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f844fe0cff021e8ee878af0074e9ccac870dc71 --- /dev/null +++ b/llm-srbench/phys_osc/PO36/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01424c5451f0dc4ef633ce2c4a868563d4ac8bf42796a956d9037ef5047d201b +size 37765 diff --git a/llm-srbench/phys_osc/PO37/formula.py b/llm-srbench/phys_osc/PO37/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..4c731404eb0d7cef913efb361c289d37b11d61f6 --- /dev/null +++ b/llm-srbench/phys_osc/PO37/formula.py @@ -0,0 +1,13 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + alpha = 0.3254156367450257 + beta = 0.3333333333333333 + omega0 = 0.5 + gamma = 0.25 + return F0 * np.sin(t) - alpha * v**3 - 2 * beta * v - omega0**2 * (gamma * t + 1) * x diff --git a/llm-srbench/phys_osc/PO37/id_test.csv b/llm-srbench/phys_osc/PO37/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..910e816a3a7dbb850d1c62d9b1b19d3c22df0855 --- /dev/null +++ b/llm-srbench/phys_osc/PO37/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:30c096972c5ed119990def995cd06681c3410ff63d5ca1a260c4f05d93323282 +size 40652 diff --git a/llm-srbench/phys_osc/PO37/metadata.yaml b/llm-srbench/phys_osc/PO37/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e76a03ee6afe872835ad2d6891d602be8ef4b639 --- /dev/null +++ b/llm-srbench/phys_osc/PO37/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO37 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.2977561354637146, 1.0] + ood_range: [-0.1184934079647064, 0.1108157262206077] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.4891384840011596, 0.2990984916687011] + ood_range: [-0.0490772314369678, 0.1153461635112762] + + target: + name: dv_dt + type: continuous + train_range: [-1.7302953004837036, 0.3741230368614196] + ood_range: [-0.112487569451332, 0.1205072253942489] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO37/ood_test.csv b/llm-srbench/phys_osc/PO37/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e03ba8228156b17b47a512bff8fbb45558e4ec84 --- /dev/null +++ b/llm-srbench/phys_osc/PO37/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d56af5008cb81d5ee64e81e0f6a17e6c4da645a0cec5594f03f45e24ba3b3e94 +size 40888 diff --git a/llm-srbench/phys_osc/PO37/package.tar.gz b/llm-srbench/phys_osc/PO37/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..6390160a4054f59af65125489c16c07ddcb26e42 --- /dev/null +++ b/llm-srbench/phys_osc/PO37/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de423657c7a8133ee946650c60b621835208f9c97a84b179f89cd5f0be9b774d +size 181348 diff --git a/llm-srbench/phys_osc/PO37/train.csv b/llm-srbench/phys_osc/PO37/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..43aae6400ba94a4d26bf01cde9f7e84b763778f2 --- /dev/null +++ b/llm-srbench/phys_osc/PO37/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:78f7ab5f57b806e3ba743fc9842a51cc9cc876c117868bc1675814cdce048467 +size 268159 diff --git a/llm-srbench/phys_osc/PO37/valid.csv b/llm-srbench/phys_osc/PO37/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..37a8875e46435ed4c6a881d2e1ce76321c7e4188 --- /dev/null +++ b/llm-srbench/phys_osc/PO37/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75fb0693fff83db9c18116b9b8f0fa5ec61aba6d1109e2bbf1eef876f6dac4bf +size 38312 diff --git a/llm-srbench/phys_osc/PO38/formula.py b/llm-srbench/phys_osc/PO38/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..ec1372d59b9ba353c223286e459ad6260dbebce2 --- /dev/null +++ b/llm-srbench/phys_osc/PO38/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.4465879557417327 + mu = 0.4465879557417327 + omega0 = 0.4465879557417327 + return -beta * np.sin(v) - mu * (1 - x**2) * v - omega0**2 * x * np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO38/id_test.csv b/llm-srbench/phys_osc/PO38/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..76390d221c476cd3df87bf77060e244650d8607e --- /dev/null +++ b/llm-srbench/phys_osc/PO38/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93d2cbb1decdbd2e048c95e6fe832e4d5bc35c42eb855a345389841d9b055741 +size 41453 diff --git a/llm-srbench/phys_osc/PO38/metadata.yaml b/llm-srbench/phys_osc/PO38/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..02f8edae88ad852f44d534c76f9424e62ea5d6cd --- /dev/null +++ b/llm-srbench/phys_osc/PO38/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO38 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.648670494556427, 1.0] + ood_range: [-0.0018966544885188, 0.001395909814164] + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.0900592803955078, 0.7837652564048767] + ood_range: [-0.003171662101522, 0.0028662397526204] + + target: + name: dv_dt + type: continuous + train_range: [-1.1217526197433472, 1.094685196876526] + ood_range: [-0.0043332525528967, 0.0058837495744228] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO38/ood_test.csv b/llm-srbench/phys_osc/PO38/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f16d9881a2b6bc6e5d0cbecd36e4e4a1354c5302 --- /dev/null +++ b/llm-srbench/phys_osc/PO38/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc9674fdc61cd4bd13f783deacc789ce8a6e36e824617acb63d6ed2dc5ef3982 +size 43470 diff --git a/llm-srbench/phys_osc/PO38/package.tar.gz b/llm-srbench/phys_osc/PO38/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..770e7bdf703e5234ba875e198d7175e812c95b0a --- /dev/null +++ b/llm-srbench/phys_osc/PO38/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:07c429e5670a7dff00a6c7ee8addf8f03ef1c0b1eb37daa997e551c32a1728e1 +size 181713 diff --git a/llm-srbench/phys_osc/PO38/train.csv b/llm-srbench/phys_osc/PO38/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..f58ff2aae40aad7dfd64c8f0005d05e9ce28e892 --- /dev/null +++ b/llm-srbench/phys_osc/PO38/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af147e0c71edf12486cbb679143388f78539266ca5f8aa47fca86580e2b98912 +size 268113 diff --git a/llm-srbench/phys_osc/PO38/valid.csv b/llm-srbench/phys_osc/PO38/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..8a2232df99cb7860ee9820d7d08b8ced926b1207 --- /dev/null +++ b/llm-srbench/phys_osc/PO38/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87468c51074e401a3013d1a1c0e8d9966f247efc9acff4bff18ad8eaa59fbee8 +size 38349 diff --git a/llm-srbench/phys_osc/PO39/formula.py b/llm-srbench/phys_osc/PO39/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..65796268fc4d7af963e56d21c56f8138762294f5 --- /dev/null +++ b/llm-srbench/phys_osc/PO39/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + alpha = 0.3254156367450257 + beta = 0.3333333333333333 + mu = 0.1 + return F0 * np.sin(t) - alpha * v**3 - beta * np.exp(-np.abs(x)) * v - mu * (1 - v**2) * v diff --git a/llm-srbench/phys_osc/PO39/id_test.csv b/llm-srbench/phys_osc/PO39/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e8199f2fd263735e3a17fb8fbebdf3dc7441fc05 --- /dev/null +++ b/llm-srbench/phys_osc/PO39/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea804ba00c43143299b94322314695c18fdbd1ed5d9e1a79e033e409acc09214 +size 39439 diff --git a/llm-srbench/phys_osc/PO39/metadata.yaml b/llm-srbench/phys_osc/PO39/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9820599f7c8189c39ce9326b9ad3ccf9df277f8f --- /dev/null +++ b/llm-srbench/phys_osc/PO39/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO39 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [1.0, 2.6446473598480225] + ood_range: [1.9113262891769407, 2.6383280754089355] + - name: t + type: continuous + train_range: [0.0080016003921627, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.3675221800804138, 0.514932096004486] + ood_range: [-0.3675912916660308, 0.3146825432777404] + + target: + name: dv_dt + type: continuous + train_range: [-0.4006074070930481, 0.3670675158500671] + ood_range: [-0.3593969941139221, 0.3668204843997955] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO39/ood_test.csv b/llm-srbench/phys_osc/PO39/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..61af729c1398c8060562c6b3be10da33287a5fb6 --- /dev/null +++ b/llm-srbench/phys_osc/PO39/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aec44f7b11a2f23fb6c7b31a6549340046e69bb2cc29cc753e0b9353f1f0ed44 +size 39475 diff --git a/llm-srbench/phys_osc/PO39/package.tar.gz b/llm-srbench/phys_osc/PO39/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..3dd024b493a70379ff1625e226e1e5a9c1fe5f14 --- /dev/null +++ b/llm-srbench/phys_osc/PO39/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2bb1da9ff8a347a425db46a0f97195f3b2130677e639b80563daecb62c1922ff +size 177865 diff --git a/llm-srbench/phys_osc/PO39/train.csv b/llm-srbench/phys_osc/PO39/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..371947ccde94eb812bb3e1edd1cfe6fdd1b1ad77 --- /dev/null +++ b/llm-srbench/phys_osc/PO39/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c41393cabfa517f0f72e0b4e86e5c5606b07e2bdf8ed903ef84717b4847cda04 +size 264648 diff --git a/llm-srbench/phys_osc/PO39/valid.csv b/llm-srbench/phys_osc/PO39/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..57dede749c8d7930293df45f53e17646ab775142 --- /dev/null +++ b/llm-srbench/phys_osc/PO39/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe98ea3f0104b41fa86055159d2be62142f5d28e2fdf1c7610fc3beba22fcc27 +size 37830 diff --git a/llm-srbench/phys_osc/PO4/formula.py b/llm-srbench/phys_osc/PO4/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..2ba26a76d5bd5b4a17330dd689b74cc623b20087 --- /dev/null +++ b/llm-srbench/phys_osc/PO4/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + alpha = 0.3254156367450257 + omega0 = 0.3333333333333333 + gamma = 0.4465879557417327 + return F0 * np.sin(t) - alpha * v**3 - omega0**2 * (gamma * np.abs(v)**(1/3) + 1) * x - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO4/id_test.csv b/llm-srbench/phys_osc/PO4/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..90adc7f6cd1ba17ce4b93faa2966596d2e71e8d0 --- /dev/null +++ b/llm-srbench/phys_osc/PO4/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98b085296c4b6dd54d17ad9c3672bbd95ab5ec1d03083c7ecc564bc540e4f511 +size 39709 diff --git a/llm-srbench/phys_osc/PO4/metadata.yaml b/llm-srbench/phys_osc/PO4/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6b334d3b9333d86b4ff57f3b1a13c114f184092f --- /dev/null +++ b/llm-srbench/phys_osc/PO4/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO4 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.0717662572860718, 1.1546260118484497] + ood_range: [-0.6815366744995117, 0.5948907732963562] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.5886174440383911, 1.5613446235656738] + ood_range: [-0.7556802034378051, 1.049873113632202] + + target: + name: dv_dt + type: continuous + train_range: [-2.257596015930176, 2.1576192378997803] + ood_range: [-1.3500444889068604, 1.1879709959030151] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO4/ood_test.csv b/llm-srbench/phys_osc/PO4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fe506121f0b80b3352457ffbee30596c2fa7421e --- /dev/null +++ b/llm-srbench/phys_osc/PO4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3f69a13a433fdf5989580434babb5735e7fe798aa599d37558ac3cadab0262cd +size 39892 diff --git a/llm-srbench/phys_osc/PO4/package.tar.gz b/llm-srbench/phys_osc/PO4/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..1d8e1dbe0497fa026d69976997374ff030518347 --- /dev/null +++ b/llm-srbench/phys_osc/PO4/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:acc24beee2eb7d3be4a48ec2c0dc6c3818a68959ece7c3881381d76def498996 +size 181363 diff --git a/llm-srbench/phys_osc/PO4/train.csv b/llm-srbench/phys_osc/PO4/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..4bd12d44e923fb24837bd0df24cc84ad15cf7715 --- /dev/null +++ b/llm-srbench/phys_osc/PO4/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:459d6e2495c69c8719fa9f1d2753c76083a3ff09a1753cb330401c3d6c54120d +size 267268 diff --git a/llm-srbench/phys_osc/PO4/valid.csv b/llm-srbench/phys_osc/PO4/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..22fe5ac55025810cd5afbce197eef751f7045f86 --- /dev/null +++ b/llm-srbench/phys_osc/PO4/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9417de2ad72f9a1b487c8fcd07e76e8f38865312204e48c762455d1559928c0b +size 38169 diff --git a/llm-srbench/phys_osc/PO40/formula.py b/llm-srbench/phys_osc/PO40/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..b2cee4b8b0bc7bf495d1d57231120099c0e26a69 --- /dev/null +++ b/llm-srbench/phys_osc/PO40/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + beta = 1.0 + omega0 = 1.0 + gamma = 1.0 + return F0 * np.sin(t) - beta * np.abs(v)**(1/3) - omega0**2 * (gamma * np.abs(v)**(1/3) + 1) * x - omega0**2 * x**3 - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO40/id_test.csv b/llm-srbench/phys_osc/PO40/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9a0d2dc8e504ef633389745e81a9b9eb6f8afe5d --- /dev/null +++ b/llm-srbench/phys_osc/PO40/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d5b8a2d6237cfddc3967d5efd13da74a596f6db730773f41dd960355f9b8aa08 +size 39105 diff --git a/llm-srbench/phys_osc/PO40/metadata.yaml b/llm-srbench/phys_osc/PO40/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a4d3d9cb2f0600f0ac2487311b6fb11f08c7d651 --- /dev/null +++ b/llm-srbench/phys_osc/PO40/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO40 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.2411847114562988, 1.080796480178833] + ood_range: [-1.257206916809082, 1.0867908000946045] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-3.474342107772827, 3.478935956954956] + ood_range: [-3.464468717575073, 3.4794163703918457] + + target: + name: dv_dt + type: continuous + train_range: [-11.779383659362791, 14.41136646270752] + ood_range: [-11.81948184967041, 14.649964332580566] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO40/ood_test.csv b/llm-srbench/phys_osc/PO40/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c4bf5fb4dc5992d90e26cd201b8d6021ea354b21 --- /dev/null +++ b/llm-srbench/phys_osc/PO40/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:175b7638c0497c1745963e7b4dce76e62b632079e05daa625bcbf09501283801 +size 39048 diff --git a/llm-srbench/phys_osc/PO40/package.tar.gz b/llm-srbench/phys_osc/PO40/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fbc7260507d03d058aa835e4b53fa5af7111d3a9 --- /dev/null +++ b/llm-srbench/phys_osc/PO40/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4eb8514e67a1d289e18d26dc7bae68106af5f53d9ea67929ea05e28128b6d1b7 +size 178563 diff --git a/llm-srbench/phys_osc/PO40/train.csv b/llm-srbench/phys_osc/PO40/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..41f1c586ba5f17b89b8295d082d359f5a6fc20ee --- /dev/null +++ b/llm-srbench/phys_osc/PO40/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ff28c8cae1c522df0b687603a7a5c0ff47f532b6f7da689c18aa5a034210601 +size 265116 diff --git a/llm-srbench/phys_osc/PO40/valid.csv b/llm-srbench/phys_osc/PO40/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..8ece4c1686c0e7615d747324aa543d0442de361e --- /dev/null +++ b/llm-srbench/phys_osc/PO40/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8bbd02f0981b3d5ee02728957a075e8e7330db56d9670a0493f3466e79c6955 +size 37907 diff --git a/llm-srbench/phys_osc/PO41/formula.py b/llm-srbench/phys_osc/PO41/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..fc49240b5129a1dcaf96744e5718ad4e6a19b796 --- /dev/null +++ b/llm-srbench/phys_osc/PO41/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + mu = 0.3254156367450257 + omega0 = 0.3333333333333333 + return -mu*(1 - x**2)*v - omega0**2*x*np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO41/id_test.csv b/llm-srbench/phys_osc/PO41/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d1c6a96d1b446139014985ebfecf1697266fd10d --- /dev/null +++ b/llm-srbench/phys_osc/PO41/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0568e988089792621de69714175dea4f2b6f6114a175860044094ab478dc8bd +size 42522 diff --git a/llm-srbench/phys_osc/PO41/metadata.yaml b/llm-srbench/phys_osc/PO41/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..401137ed5bbdbe249688dbaaa11715ca57735bd3 --- /dev/null +++ b/llm-srbench/phys_osc/PO41/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO41 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.3869872987270355, 1.0] + ood_range: [-3.6684563383460045e-05, 9.218420746037737e-05] + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.5824286341667175, 0.2620094120502471] + ood_range: [-7.252521754708141e-05, 0.0001499041827628] + + target: + name: dv_dt + type: continuous + train_range: [-0.4295727014541626, 0.3736505508422851] + ood_range: [-0.0001207307504955, 5.6902397773228586e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO41/ood_test.csv b/llm-srbench/phys_osc/PO41/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c2c04ae940de095dfe0c4d48f28c913690e47ae8 --- /dev/null +++ b/llm-srbench/phys_osc/PO41/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e10ae6927be3fd865d58af32e6490f25032548bdd5812eee1d50379c17efba7f +size 44555 diff --git a/llm-srbench/phys_osc/PO41/package.tar.gz b/llm-srbench/phys_osc/PO41/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..673753c0ab66e55c3ac7f736d5aedd030111a173 --- /dev/null +++ b/llm-srbench/phys_osc/PO41/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62d4595432f3e7b15ce0a6ff0b2e491491f47fee5650fbbf8ddc490c25e615bf +size 181187 diff --git a/llm-srbench/phys_osc/PO41/train.csv b/llm-srbench/phys_osc/PO41/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..95aa6e0c91d2744721331c5b73f5d924c80a9860 --- /dev/null +++ b/llm-srbench/phys_osc/PO41/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:54542a1a623dc5f8dbb81c08b1addfd135276c79caa8d414d9ec6491014bef70 +size 269697 diff --git a/llm-srbench/phys_osc/PO41/valid.csv b/llm-srbench/phys_osc/PO41/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..b4e0b786521a27d5473d5a6acde2e8ce86913444 --- /dev/null +++ b/llm-srbench/phys_osc/PO41/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6c224e686b5a9ada4ea7df28c907d6e829c417cfaf5ab82dd5c9eb4b46c71e85 +size 38604 diff --git a/llm-srbench/phys_osc/PO42/formula.py b/llm-srbench/phys_osc/PO42/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..b37490a0ebbafcd18bbe2d2f47a278aa143bbe5e --- /dev/null +++ b/llm-srbench/phys_osc/PO42/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 0.4465879557417327 + alpha = 0.3254156367450257 + beta = 0.3333333333333333 + return F0 * np.sin(t) - alpha * v**3 - beta * np.sin(x) * v - 2 * beta * v diff --git a/llm-srbench/phys_osc/PO42/id_test.csv b/llm-srbench/phys_osc/PO42/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..08522b92347e35796bbd3c73a81112abfb7c8805 --- /dev/null +++ b/llm-srbench/phys_osc/PO42/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ec614113b1f517d687024945be158ab2883ed1e3171c4b1ed31f77beab4ac074 +size 39747 diff --git a/llm-srbench/phys_osc/PO42/metadata.yaml b/llm-srbench/phys_osc/PO42/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ee3e1f6cbda0213ee1903d9e7a5c26ad4983bce5 --- /dev/null +++ b/llm-srbench/phys_osc/PO42/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO42 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [1.0, 1.377078890800476] + ood_range: [1.0234272480010986, 1.300189733505249] + - name: t + type: continuous + train_range: [0.0, 35.9911994934082] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.1757858842611312, 0.1794077008962631] + ood_range: [-0.1757201999425888, 0.1776497513055801] + + target: + name: dv_dt + type: continuous + train_range: [-0.1752114295959472, 0.1788166314363479] + ood_range: [-0.0983974263072013, 0.1787321120500564] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO42/ood_test.csv b/llm-srbench/phys_osc/PO42/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c7a4275b84ad17c1e1986d23fca1edb8933429e8 --- /dev/null +++ b/llm-srbench/phys_osc/PO42/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d800a3167fd33f4542cbaf6096bc58541809cce8641b311260c0a2b9b5d55c6 +size 39585 diff --git a/llm-srbench/phys_osc/PO42/package.tar.gz b/llm-srbench/phys_osc/PO42/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a22f30ce885d61bee82072b38b09d4083d8eb81a --- /dev/null +++ b/llm-srbench/phys_osc/PO42/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9fd468eb1aa3f3baa2ef4046f8cbee4f6f75d67da90bc773a992dcec81fa9a6a +size 177094 diff --git a/llm-srbench/phys_osc/PO42/train.csv b/llm-srbench/phys_osc/PO42/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..e47cf12bb2e11790547fa55ba965c0a04ab5743e --- /dev/null +++ b/llm-srbench/phys_osc/PO42/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d6f3ad3bdc76b5a06f9f2e99b80a4255cf91a9695eb617f37f70e668ac96b92 +size 265593 diff --git a/llm-srbench/phys_osc/PO42/valid.csv b/llm-srbench/phys_osc/PO42/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..1603912a8b6806850d610013b012b48b013d1dff --- /dev/null +++ b/llm-srbench/phys_osc/PO42/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6d7e91d0c37c0f9e1126daa1afe9e03c2338e2aa841d0c5644b12ab1a11d6e45 +size 37984 diff --git a/llm-srbench/phys_osc/PO43/formula.py b/llm-srbench/phys_osc/PO43/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..c40954cf847752dd73b898504e74505189ee3a9d --- /dev/null +++ b/llm-srbench/phys_osc/PO43/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + beta = 1.0 + mu = 1.0 + omega0 = 1.0 + return F0 * np.sin(t) - beta * np.sin(x) * v - 2 * beta * v - mu * (1 - x**2) * v - omega0**2 * x * np.exp(-np.abs(x)) diff --git a/llm-srbench/phys_osc/PO43/id_test.csv b/llm-srbench/phys_osc/PO43/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f11776874fe2cd2192c086c4e5d9503695c31fc --- /dev/null +++ b/llm-srbench/phys_osc/PO43/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:229ca1d64d0428a7a99cf6d766d8f130a20d0943d2aa1e124f14ca4c28f76883 +size 41497 diff --git a/llm-srbench/phys_osc/PO43/metadata.yaml b/llm-srbench/phys_osc/PO43/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c4261623470f2fa528597be92fc88e637555166b --- /dev/null +++ b/llm-srbench/phys_osc/PO43/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO43 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.0883456990122795, 1.0] + ood_range: [-0.0883400216698646, 0.0873821303248405] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.6683879494667053, 0.1010709032416343] + ood_range: [-0.0523367375135421, 0.0904220342636108] + + target: + name: dv_dt + type: continuous + train_range: [-1.423873782157898, 0.6153123378753662] + ood_range: [-0.0835085287690162, 0.0870986655354499] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO43/ood_test.csv b/llm-srbench/phys_osc/PO43/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c9d521080f18893cff74c6e95afc3fb2d9301d2b --- /dev/null +++ b/llm-srbench/phys_osc/PO43/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87f62973754c42f6aa3ec3ca63037beccf4c63d936f2a2a31a7b9bf0c7ef1d57 +size 41478 diff --git a/llm-srbench/phys_osc/PO43/package.tar.gz b/llm-srbench/phys_osc/PO43/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..5c64565dc28f0865d05ccdb9348f2369e150bab0 --- /dev/null +++ b/llm-srbench/phys_osc/PO43/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c5f10976939f71133d03ede194241758464c9d470a91067e182b50f81fac387a +size 179686 diff --git a/llm-srbench/phys_osc/PO43/train.csv b/llm-srbench/phys_osc/PO43/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..ccd2a7074280023dab627e5a760643222f96c9c1 --- /dev/null +++ b/llm-srbench/phys_osc/PO43/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:316c2daea62eb582a5698c9d74e7af17e7adc134571d1e94137c3a752611ed22 +size 268242 diff --git a/llm-srbench/phys_osc/PO43/valid.csv b/llm-srbench/phys_osc/PO43/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..72fc13bcd1d92eb8a6ed2405ec311d79204161c2 --- /dev/null +++ b/llm-srbench/phys_osc/PO43/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:08c9264be849f252f751beec21013f109907fcb22043af1b406bd1ae6d0ed1f3 +size 38380 diff --git a/llm-srbench/phys_osc/PO5/formula.py b/llm-srbench/phys_osc/PO5/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..cfe3472d29ff5ee29b611159d3aae01e42d86674 --- /dev/null +++ b/llm-srbench/phys_osc/PO5/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.4465879557417327 + omega0 = 0.3254156367450257 + gamma = 0.3333333333333333 + return -beta * np.sin(v) - 2 * beta * v - omega0**2 * (gamma * np.abs(v)**(1/3) + 1) * x - omega0**2 * x**3 - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO5/id_test.csv b/llm-srbench/phys_osc/PO5/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f8950424fbbc47962b56dc5d4fad3f94155da887 --- /dev/null +++ b/llm-srbench/phys_osc/PO5/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:880c94ead0726f1601c893db06bbf4b36734109128d068ac754b5f86c64f4d24 +size 43597 diff --git a/llm-srbench/phys_osc/PO5/metadata.yaml b/llm-srbench/phys_osc/PO5/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dd67088aeda492a436379354faf17a79321a9b9d --- /dev/null +++ b/llm-srbench/phys_osc/PO5/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO5 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.3192009925842285, 1.0] + ood_range: [-9.634193247620715e-07, 9.607371111997054e-07] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.1893353462219238, 0.3170754313468933] + ood_range: [-1.0634843192747212e-06, 2.355237256779219e-06] + + target: + name: dv_dt + type: continuous + train_range: [-3.881861686706543, 1.2508331537246704] + ood_range: [-2.792512077576248e-06, 1.981708692255779e-06] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO5/ood_test.csv b/llm-srbench/phys_osc/PO5/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c79de2066862859c83630b860c2c16119daf9ae --- /dev/null +++ b/llm-srbench/phys_osc/PO5/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ad5f073744ac28b17c52b2b8f72f739000d38a1b94515debf693ff592d7b94b +size 44551 diff --git a/llm-srbench/phys_osc/PO5/package.tar.gz b/llm-srbench/phys_osc/PO5/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fccd595237536b1e632ed85d2b38d1fc30b34c3c --- /dev/null +++ b/llm-srbench/phys_osc/PO5/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5b9529fecc649d718a9f81a8029d5da251097f7a4a3068b4a69ade59cd548866 +size 192365 diff --git a/llm-srbench/phys_osc/PO5/train.csv b/llm-srbench/phys_osc/PO5/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5f777f5d05a3278f84bba4f3d7e2eaa75d7b3ab6 --- /dev/null +++ b/llm-srbench/phys_osc/PO5/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20fd9255671ab8332e84cbfd61aa1d3e5a0fa952040641031f46d224fdb643fb +size 289941 diff --git a/llm-srbench/phys_osc/PO5/valid.csv b/llm-srbench/phys_osc/PO5/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..0db0dcd69ef45dc28348c31bdb1dc9ddf724e5af --- /dev/null +++ b/llm-srbench/phys_osc/PO5/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88c7220ec9b29477c5484d73983cdc4e890440403639d77fd29eff037636c2f1 +size 41558 diff --git a/llm-srbench/phys_osc/PO6/formula.py b/llm-srbench/phys_osc/PO6/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..06e4c0356bdb341d07d47c3b3d14cfff95083f39 --- /dev/null +++ b/llm-srbench/phys_osc/PO6/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.4465879557417327 + omega0 = 0.3254156367450257 + return -beta * np.log(np.abs(v) + 1) - 2 * beta * v - omega0**2 * x**3 diff --git a/llm-srbench/phys_osc/PO6/id_test.csv b/llm-srbench/phys_osc/PO6/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d32196d248915a8d60feebabca81dca4c8637b2c --- /dev/null +++ b/llm-srbench/phys_osc/PO6/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:51179de9824c527f24a4a22a0fc0e288f80dd211ae12fdac3e2f9f552a0768c5 +size 42182 diff --git a/llm-srbench/phys_osc/PO6/metadata.yaml b/llm-srbench/phys_osc/PO6/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f8e412149879d228d658e58475a2134505be8ef9 --- /dev/null +++ b/llm-srbench/phys_osc/PO6/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO6 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.5587610006332397, 1.0] + ood_range: [-0.104198433458805, -0.0990587919950485] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-0.5967301726341246, 0.1138760522007942] + ood_range: [0.0011926590232178, 0.0013926292303949] + + target: + name: dv_dt + type: continuous + train_range: [-1.1698459386825562, 0.2157297283411026] + ood_range: [-5.736760067520663e-05, -4.547118442133069e-05] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO6/ood_test.csv b/llm-srbench/phys_osc/PO6/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8cbde8b4beec44323ab682c8650a4f8e9332870a --- /dev/null +++ b/llm-srbench/phys_osc/PO6/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f61399c4a0405f859267729a05003877c49b9ca3fe9e9b2e203a91c747d9781b +size 42880 diff --git a/llm-srbench/phys_osc/PO6/package.tar.gz b/llm-srbench/phys_osc/PO6/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a2fd68c83c24d3fa9a1b6a8078ecd23d4806053c --- /dev/null +++ b/llm-srbench/phys_osc/PO6/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9dbcba778eb36d016e973d5a9ef722a99caaadae0afd384f8e90af83b405e72d +size 178397 diff --git a/llm-srbench/phys_osc/PO6/train.csv b/llm-srbench/phys_osc/PO6/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef5fa7affd822dd3ef732db3997971f6b460f936 --- /dev/null +++ b/llm-srbench/phys_osc/PO6/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ecd0809d0c4956561faa3b93689d5e7a55d410541fe1b3904d42c86270f0e77 +size 271492 diff --git a/llm-srbench/phys_osc/PO6/valid.csv b/llm-srbench/phys_osc/PO6/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..2877ff1a7712af4f09545cbb8829f49ddead26ba --- /dev/null +++ b/llm-srbench/phys_osc/PO6/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9bb935ff91e5222a2c64039479ae0f26357ffbdb0fada2627bc2b755049c9a8e +size 38801 diff --git a/llm-srbench/phys_osc/PO7/formula.py b/llm-srbench/phys_osc/PO7/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..c6f7cc5a8bdbf1e3f905c5a5c797ab9fe4e034c2 --- /dev/null +++ b/llm-srbench/phys_osc/PO7/formula.py @@ -0,0 +1,11 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + alpha = 0.3254156367450257 + beta = 0.3333333333333333 + omega0 = 1.0 + return -alpha * v**3 - beta * np.abs(v)**0.3333333333333333 - omega0**2 * x**3 diff --git a/llm-srbench/phys_osc/PO7/id_test.csv b/llm-srbench/phys_osc/PO7/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a93a971876f2c0f75b136b5caa53d2eff791c88 --- /dev/null +++ b/llm-srbench/phys_osc/PO7/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9bd2a18de9f89c2ee3740e5305d4500990153536d19e0763ececa6e490262842 +size 40063 diff --git a/llm-srbench/phys_osc/PO7/metadata.yaml b/llm-srbench/phys_osc/PO7/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e9d5f6b9d4ba8d3655119223a161eb0d5e977e9d --- /dev/null +++ b/llm-srbench/phys_osc/PO7/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO7 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.59013569355011, 1.0] + ood_range: [-1.2643179893493652, 0.0207464639097452] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.6692183017730713, 1.5572220087051392] + ood_range: [-0.891932725906372, 0.864509105682373] + + target: + name: dv_dt + type: continuous + train_range: [-1.6702263355255127, 4.945667266845703] + ood_range: [-0.5775801539421082, 2.464890480041504] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO7/ood_test.csv b/llm-srbench/phys_osc/PO7/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..56d1b81f400de21bfc4a2f83bab656a4a002a3df --- /dev/null +++ b/llm-srbench/phys_osc/PO7/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b12acf92e956fdc9de2be3af96f07d27798855fea47b40df354fa738eac069f3 +size 40183 diff --git a/llm-srbench/phys_osc/PO7/package.tar.gz b/llm-srbench/phys_osc/PO7/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..92c859bd96f99a8825a122e87676168281f051d5 --- /dev/null +++ b/llm-srbench/phys_osc/PO7/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4cbeb4a585feea950f0d5ae5ceb196dfbcde1b8a078258dce23132c633b07104 +size 181917 diff --git a/llm-srbench/phys_osc/PO7/train.csv b/llm-srbench/phys_osc/PO7/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..65de0de3fe148c7494514f89a67015454826367f --- /dev/null +++ b/llm-srbench/phys_osc/PO7/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3289162bf7c47575c3716ec5dc743ef3e1141f83cfa684ec775938fdd0a5c077 +size 268616 diff --git a/llm-srbench/phys_osc/PO7/valid.csv b/llm-srbench/phys_osc/PO7/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..541a00e09b668826780dff7df34f9ed8a7c2dae7 --- /dev/null +++ b/llm-srbench/phys_osc/PO7/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0dd9faefc5c72992623e0082d4027a37ae8b216cd06b616bb67d22ac3470b425 +size 38385 diff --git a/llm-srbench/phys_osc/PO8/formula.py b/llm-srbench/phys_osc/PO8/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..9869d2c57558037ea9188ea39b0b8193c45dc221 --- /dev/null +++ b/llm-srbench/phys_osc/PO8/formula.py @@ -0,0 +1,10 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + beta = 0.3333333333333333 + omega0 = 1.0 + return -beta * np.abs(v)**0.333333333333333 - omega0**2 * x**3 diff --git a/llm-srbench/phys_osc/PO8/id_test.csv b/llm-srbench/phys_osc/PO8/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1d53bcbb55bb2b8c3cb2b739a3d97ad311e3eada --- /dev/null +++ b/llm-srbench/phys_osc/PO8/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:06c5cbdbce8387687112a649d859a8b6c321aed947969d268bb7f4b074687901 +size 39559 diff --git a/llm-srbench/phys_osc/PO8/metadata.yaml b/llm-srbench/phys_osc/PO8/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..468c25403aaee952a6c1bad5ef0f90199b538136 --- /dev/null +++ b/llm-srbench/phys_osc/PO8/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO8 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-1.6373300552368164, 1.0024025440216064] + ood_range: [-1.6215900182724, 0.9595791101455688] + - name: t + type: continuous + train_range: [0.0080016003921627, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.6106359958648682, 1.6113395690917969] + ood_range: [-1.5551351308822632, 1.5090340375900269] + + target: + name: dv_dt + type: continuous + train_range: [-1.4007806777954102, 4.681754112243652] + ood_range: [-1.26686692237854, 4.50766134262085] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO8/ood_test.csv b/llm-srbench/phys_osc/PO8/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..003854ae7103794e580d911ff1957e2500c2e9e0 --- /dev/null +++ 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267789 diff --git a/llm-srbench/phys_osc/PO8/valid.csv b/llm-srbench/phys_osc/PO8/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..786c6c65a4ace8b039613d4cce75e0870949cd8f --- /dev/null +++ b/llm-srbench/phys_osc/PO8/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e347fd634a7b58800b9c6dddde5fb61a83ca8fdc7e9674a3e43b0b1d3c5305cb +size 38295 diff --git a/llm-srbench/phys_osc/PO9/formula.py b/llm-srbench/phys_osc/PO9/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..d389261fc8c0e7a9cd29b1b5d382c343ea7afe46 --- /dev/null +++ b/llm-srbench/phys_osc/PO9/formula.py @@ -0,0 +1,12 @@ +# ===== GROUND TRUTH REFERENCE ===== +# NOTE: This ground truth serves as a reference answer for symbolic regression tasks +# This expression is NOT the original function used to generate the training data +# It is provided solely for evaluation and comparison of large model outputs +# DO NOT use this expression as the basis for data generation + +def dv_dt(x, t, v): + F0 = 1.0 + mu = 1.0 + omega0 = 1.0 + gamma = 1.0 + return F0 * np.sin(t) - mu * (1 - x**2) * v - omega0**2 * (gamma * np.abs(v)**(1.0/3.0) + 1) * x - omega0**2 * x diff --git a/llm-srbench/phys_osc/PO9/id_test.csv b/llm-srbench/phys_osc/PO9/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d4bef707b93e265d6fd5a62d599a7d318ce7621b --- /dev/null +++ b/llm-srbench/phys_osc/PO9/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83e01836a25130631f108f9b1dd472aec1cdcf87c189edc6192f629efad2b835 +size 40828 diff --git a/llm-srbench/phys_osc/PO9/metadata.yaml b/llm-srbench/phys_osc/PO9/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4ee57e442980e4917f756c462df986440af1cc6c --- /dev/null +++ b/llm-srbench/phys_osc/PO9/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: llm-srbench__phys_osc__PO9 + description: + splits: + train: + file: train.csv + samples: 3500 + ratio: 7 + valid: + file: valid.csv + samples: 500 + ratio: 1 + id_test: + file: id_test.csv + samples: 500 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 500 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x + type: continuous + train_range: [-0.6735529899597168, 1.0] + ood_range: [-0.1047298908233642, 0.1042176485061645] + - name: t + type: continuous + train_range: [0.0, 35.99919891357422] + ood_range: [36.0072021484375, 40.0] + - name: v + type: continuous + train_range: [-1.7336437702178955, 1.2900573015213013] + ood_range: [-0.057104080915451, 0.10557821393013] + + target: + name: dv_dt + type: continuous + train_range: [-3.902429819107056, 2.97437071800232] + ood_range: [-0.1010390967130661, 0.1037099733948707] + + license: MIT + citation: + arXiv: 2504.10415 + title: LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models + resources: + - https://github.com/deep-symbolic-mathematics/llm-srbench + - https://huggingface.co/datasets/nnheui/llm-srbench diff --git a/llm-srbench/phys_osc/PO9/ood_test.csv b/llm-srbench/phys_osc/PO9/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e7f3507769143a5d57ec0c05e91269212b85aa02 --- /dev/null +++ b/llm-srbench/phys_osc/PO9/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5bef3bf54906c7fec7410d583ff86fad8e266eae0ef16824ab42fba0ab9b401a +size 41101 diff --git a/llm-srbench/phys_osc/PO9/package.tar.gz b/llm-srbench/phys_osc/PO9/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..983e3afd62914f96b6eaba4094f33af802c1cc42 --- /dev/null +++ b/llm-srbench/phys_osc/PO9/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73ce835730acd0590dad091df865c5bc4aea18abbb1f72abb8ffa0f3a3408683 +size 181739 diff --git a/llm-srbench/phys_osc/PO9/train.csv 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discrete + train_range: [2.0, 3.0, 4.0, 5.0, 6.0, 7.0] + ood_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + - name: in3 + type: discrete + train_range: [3.0, 4.0, 5.0, 6.0, 7.0] + ood_range: [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] + - name: in4 + type: discrete + train_range: [3.0, 4.0, 5.0, 6.0, 7.0] + ood_range: [2.0, 4.0, 5.0, 6.0, 7.0, 8.0] + + target: + name: target + type: discrete + train_range: [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/1027_ESL/ood_test.csv b/srbench1.0/blackbox/1027_ESL/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..2ad54bd7b743a8a98e0644b17f531b9a7b5a624b --- /dev/null +++ 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ratio: 1 + id_test: + file: id_test.csv + samples: 85 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 150 + ratio: 1.76 + ground_truth_formula: + file: None + features: + - name: in1 + type: discrete + train_range: [1.0, 2.0, 3.0, 5.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + ood_range: [0.0, 2.0, 14.0] + - name: in2 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 13.0] + ood_range: [0.0, 2.0, 4.0, 5.0, 10.0, 11.0, 14.0] + - name: in3 + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 13.0] + ood_range: [2.0, 4.0, 6.0, 7.0, 8.0, 12.0, 13.0] + - name: in4 + type: discrete + train_range: [0.0, 1.0, 2.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0] + ood_range: [0.0, 1.0, 2.0, 7.0, 9.0, 14.0] + + target: + name: target + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/1030_ERA/ood_test.csv b/srbench1.0/blackbox/1030_ERA/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..16e7950557c49589751897e0c4d0058c6947d46b --- /dev/null +++ b/srbench1.0/blackbox/1030_ERA/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bc2911b332ae82348b123b491efdbacbe52b1da4fb01c4545bdb126724719cfc +size 3259 diff --git a/srbench1.0/blackbox/1030_ERA/package.tar.gz b/srbench1.0/blackbox/1030_ERA/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9d240a96ac5d904b539da53e4796190719054052 --- /dev/null +++ b/srbench1.0/blackbox/1030_ERA/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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None + features: + - name: R + type: continuous + train_range: [37.29999923706055, 196.8999938964844] + ood_range: [34.20000076293945, 199.3000030517578] + - name: Age + type: continuous + train_range: [121.0, 166.0] + ood_range: [119.0, 177.0] + - name: S + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Ed + type: discrete + train_range: [88.0, 89.0, 91.0, 93.0, 99.0, 100.0, 102.0, 104.0, 105.0, 108.0, 109.0, 110.0, 111.0, 112.0, 113.0, 116.0, 117.0, 118.0, 121.0] + ood_range: [87.0, 89.0, 107.0, 109.0, 121.0, 122.0] + - name: Ex0 + type: continuous + train_range: [46.0, 149.0] + ood_range: [45.0, 166.0] + - name: Ex1 + type: continuous + train_range: [41.0, 141.0] + ood_range: [44.0, 157.0] + - name: LF + type: continuous + train_range: [480.0, 632.0] + ood_range: [521.0, 638.0] + - name: M + type: continuous + train_range: [934.0, 1049.0] + ood_range: [938.0, 1071.0] + - name: N + type: continuous + train_range: [3.0, 157.0] + ood_range: [3.0, 168.0] + - 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srbench1.0__blackbox__1191_BNG_pbc + description: + splits: + train: + file: train.csv + samples: 665500 + ratio: 8.00 + valid: + file: valid.csv + samples: 83187 + ratio: 1.00 + id_test: + file: id_test.csv + samples: 83188 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 168125 + ratio: 2.02 + ground_truth_formula: + file: None + features: + - name: D + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Z1 + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Z2 + type: continuous + train_range: [22.98233795166016, 83.5204849243164] + ood_range: [22.47959899902344, 84.88188934326172] + - name: Z3 + type: discrete + train_range: [0.0] + ood_range: [0.0, 1.0] + - name: Z4 + type: discrete + train_range: [1.0] + ood_range: [0.0, 1.0] + - name: Z5 + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Z6 + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Z7 + type: discrete + train_range: 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8.00 + valid: + file: valid.csv + samples: 1574 + ratio: 1.00 + id_test: + file: id_test.csv + samples: 1575 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1752 + ratio: 1.11 + ground_truth_formula: + file: None + features: + - name: still_alive + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: age + type: continuous + train_range: [44.75933074951172, 85.37223052978516] + ood_range: [38.1651725769043, 92.0002212524414] + - name: pericardial + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: fractional + type: continuous + train_range: [0.0463659986853599, 0.6225510239601135] + ood_range: [-0.0482570007443428, 0.7252950072288513] + - name: epss + type: continuous + train_range: [0.9356719851493835, 36.51828002929688] + ood_range: [-4.862782001495361, 42.492713928222656] + - name: lvdd + type: continuous + train_range: [2.900420904159546, 6.97598123550415] + ood_range: [2.2381670475006104, 7.648427009582519] + - name: 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1, 2] + - name: inv-nodes + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0] + ood_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0] + - name: node-caps + type: discrete + train_range: [0, 1] + ood_range: [0, 1] + - name: deg-malig + type: discrete + train_range: [0.0, 1.0, 2.0] + ood_range: [0.0, 1.0, 2.0] + - name: breast + type: discrete + train_range: [0, 1] + ood_range: [0, 1] + - name: breast-quad + type: discrete + train_range: [0, 1, 2, 3] + ood_range: [0, 1, 2, 3, 4] + - name: irradiation + type: discrete + train_range: [0, 1] + ood_range: [0, 1] + - name: recurrence + type: discrete + train_range: [0, 1] + ood_range: [0, 1] + + target: + name: target + type: continuous + train_range: [-7.278350830078125, 62.008262634277344] + ood_range: [-8.526242256164549, 58.23876571655274] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/1201_BNG_breastTumor/ood_test.csv b/srbench1.0/blackbox/1201_BNG_breastTumor/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea0d0b490c3a8d1711163673f8f14442b447e9da --- /dev/null +++ b/srbench1.0/blackbox/1201_BNG_breastTumor/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:520f7175b1d8dcaf3d968452c0d87b7057424223608d0f6e5c5d329852d0c2d9 +size 956304 diff --git a/srbench1.0/blackbox/1201_BNG_breastTumor/package.tar.gz b/srbench1.0/blackbox/1201_BNG_breastTumor/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0f1f1dd52027082bca8b01b4a65393ce18436b50 --- /dev/null +++ b/srbench1.0/blackbox/1201_BNG_breastTumor/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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a/srbench1.0/blackbox/1595_poker/id_test.csv b/srbench1.0/blackbox/1595_poker/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..95543e54ba170864ded744232fccdb021624f7ba --- /dev/null +++ b/srbench1.0/blackbox/1595_poker/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c5c00aec4de07731bec20a0cf7047c36ae640b57b94dd8fd3a6a92fa1dc88596 +size 3945097 diff --git a/srbench1.0/blackbox/1595_poker/metadata.yaml b/srbench1.0/blackbox/1595_poker/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b0d66fab98af73253127d2828a010d51b5e98092 --- /dev/null +++ b/srbench1.0/blackbox/1595_poker/metadata.yaml @@ -0,0 +1,77 @@ +dataset: + name: srbench1.0__blackbox__1595_poker + description: + splits: + train: + file: train.csv + samples: 693554 + ratio: 8.00 + valid: + file: valid.csv + samples: 86694 + ratio: 1.00 + id_test: + file: id_test.csv + samples: 86695 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 158067 + ratio: 1.82 + ground_truth_formula: + file: None + features: + - name: att_1 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0] + ood_range: [1.0, 2.0, 3.0, 4.0] + - name: att_2 + type: discrete + train_range: [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0] + ood_range: [1.0, 13.0] + - name: att_3 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0] + ood_range: [1.0, 2.0, 3.0, 4.0] + - name: att_4 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + - name: att_5 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0] + ood_range: [1.0, 2.0, 3.0, 4.0] + - name: att_6 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + - name: att_7 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0] + ood_range: [1.0, 2.0, 3.0, 4.0] + - name: att_8 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + - name: att_9 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0] + ood_range: [1.0, 2.0, 3.0, 4.0] + - name: att_10 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + + target: + name: target + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + ood_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/1595_poker/ood_test.csv 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-0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36f8cb1679dd32aad76ad2d2b1899e4233a11d8f348fcf2c05fd8fdc5c6cef3c +size 109 diff --git a/srbench1.0/blackbox/192_vineyard/metadata.yaml b/srbench1.0/blackbox/192_vineyard/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a8d5182690c429433a4193405bcf564d90e45187 --- /dev/null +++ b/srbench1.0/blackbox/192_vineyard/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: srbench1.0__blackbox__192_vineyard + description: + splits: + train: + file: train.csv + samples: 36 + ratio: 6 + valid: + file: valid.csv + samples: 4 + ratio: 0.67 + id_test: + file: id_test.csv + samples: 6 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 6 + ratio: 1 + ground_truth_formula: + file: None + features: + - name: lugs_1989 + type: discrete + train_range: [1.0, 1.5, 2.0, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5] + ood_range: [0.0, 0.5, 5.0, 8.0] + - name: lugs_1990 + type: discrete + train_range: [5.0, 7.0, 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b/srbench1.0/blackbox/195_auto_price/metadata.yaml @@ -0,0 +1,97 @@ +dataset: + name: srbench1.0__blackbox__195_auto_price + description: + splits: + train: + file: train.csv + samples: 105 + ratio: 7.50 + valid: + file: valid.csv + samples: 13 + ratio: 0.93 + id_test: + file: id_test.csv + samples: 14 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 27 + ratio: 1.93 + ground_truth_formula: + file: None + features: + - name: symboling + type: discrete + train_range: [2.0, 3.0, 4.0, 5.0] + ood_range: [1.0, 2.0, 5.0, 6.0] + - name: normalized-losses + type: continuous + train_range: [74.0, 231.0] + ood_range: [65.0, 256.0] + - name: wheel-base + type: continuous + train_range: [93.0, 113.0] + ood_range: [86.5999984741211, 115.5999984741211] + - name: length + type: continuous + train_range: [150.0, 199.6000061035156] + ood_range: [141.10000610351562, 202.6000061035156] + - name: width + type: continuous + train_range: [62.5, 71.4000015258789] + ood_range: [60.29999923706055, 71.69999694824219] + - name: height + type: continuous + train_range: [49.70000076293945, 59.09999847412109] + ood_range: [49.400001525878906, 59.79999923706055] + - name: curb-weight + type: continuous + train_range: [1837.0, 4066.0] + ood_range: [1488.0, 3770.0] + - name: engine-size + type: continuous + train_range: [79.0, 258.0] + ood_range: [61.0, 234.0] + - name: bore + type: continuous + train_range: [2.9100000858306885, 3.7799999713897705] + ood_range: [2.539999961853028, 3.940000057220459] + - name: stroke + type: continuous + train_range: [2.190000057220459, 4.170000076293945] + ood_range: [2.069999933242798, 3.900000095367432] + - name: compression-ratio + type: continuous + train_range: [7.0, 23.0] + ood_range: [7.0, 22.5] + - name: horsepower + type: continuous + train_range: [52.0, 176.0] + ood_range: [48.0, 200.0] + - name: peak-rpm + type: discrete + train_range: [4150.0, 4250.0, 4350.0, 4400.0, 4500.0, 4750.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5250.0, 5300.0, 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91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0] + ood_range: [0.0, 1.0, 2.0, 46.0, 51.0, 57.0, 69.0, 70.0, 71.0, 73.0, 75.0, 78.0, 79.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/197_cpu_act/ood_test.csv b/srbench1.0/blackbox/197_cpu_act/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..61205e6653a404795936e04335f44a5e74f7c840 --- /dev/null +++ b/srbench1.0/blackbox/197_cpu_act/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75b7d3e98dbfd12650ee29ba133f006e2353624aee5c43dc29f887d3fcc425ad +size 206923 diff --git a/srbench1.0/blackbox/197_cpu_act/package.tar.gz 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71.69999694824219] + - name: height + type: continuous + train_range: [49.70000076293945, 59.09999847412109] + ood_range: [49.400001525878906, 59.79999923706055] + - name: curb-weight + type: continuous + train_range: [1837.0, 4066.0] + ood_range: [1488.0, 3770.0] + - name: engine-size + type: continuous + train_range: [79.0, 258.0] + ood_range: [61.0, 234.0] + - name: bore + type: continuous + train_range: [2.9100000858306885, 3.7799999713897705] + ood_range: [2.539999961853028, 3.940000057220459] + - name: stroke + type: continuous + train_range: [2.190000057220459, 4.170000076293945] + ood_range: [2.069999933242798, 3.900000095367432] + - name: compression-ratio + type: continuous + train_range: [7.0, 23.0] + ood_range: [7.0, 22.5] + - name: horsepower + type: continuous + train_range: [52.0, 176.0] + ood_range: [48.0, 200.0] + - name: peak-rpm + type: discrete + train_range: [4150.0, 4250.0, 4350.0, 4400.0, 4500.0, 4750.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5250.0, 5300.0, 5400.0, 5500.0, 5600.0, 5800.0, 6000.0, 6600.0] + ood_range: [4200.0, 4350.0, 4500.0, 4750.0, 4800.0, 5000.0, 5100.0, 5200.0, 5250.0, 5400.0, 5500.0, 6000.0] + - name: city-mpg + type: discrete + train_range: [15.0, 17.0, 18.0, 19.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 30.0, 31.0, 32.0, 34.0, 35.0, 37.0, 38.0, 45.0] + ood_range: [16.0, 17.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 27.0, 29.0, 30.0, 31.0, 47.0, 49.0] + - name: highway-mpg + type: continuous + train_range: [19.0, 50.0] + ood_range: [18.0, 54.0] + + target: + name: target + type: continuous + train_range: [5118.0, 32250.0] + ood_range: [5151.0, 35056.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/207_autoPrice/ood_test.csv b/srbench1.0/blackbox/207_autoPrice/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..855ba7b3bf307cb78625fcf550534f4db66c68b0 --- /dev/null +++ b/srbench1.0/blackbox/207_autoPrice/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9833ce92b235dedaa9e0517abd31756902b97eb5d1ef628050ea7f927527cf8d +size 4591 diff --git a/srbench1.0/blackbox/207_autoPrice/package.tar.gz b/srbench1.0/blackbox/207_autoPrice/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4fe86d543abb4208b5b22383c94e62c7660d8086 --- /dev/null +++ b/srbench1.0/blackbox/207_autoPrice/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9941aa4149b876546edf13b258b31492711b43020edcb8b9e37f923956f737d +size 5056 diff --git a/srbench1.0/blackbox/207_autoPrice/train.csv b/srbench1.0/blackbox/207_autoPrice/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..d8e9df92adb7c05d63f80aed912ce635c3d4454a --- /dev/null +++ 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Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/225_puma8NH/ood_test.csv b/srbench1.0/blackbox/225_puma8NH/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..41cb2729afe39ea98233b622bfe01c8b236e277a --- /dev/null +++ b/srbench1.0/blackbox/225_puma8NH/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8acd5c68c9211eb85b32b7a034c31069cb05c0a30105955c4f29223ee64a7e46 +size 141633 diff --git a/srbench1.0/blackbox/225_puma8NH/package.tar.gz b/srbench1.0/blackbox/225_puma8NH/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..881b1756c33a8db54c7d8950d5e95e0e21bc9b03 --- /dev/null +++ b/srbench1.0/blackbox/225_puma8NH/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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150 + ratio: 7.50 + valid: + file: valid.csv + samples: 18 + ratio: 0.90 + id_test: + file: id_test.csv + samples: 20 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 21 + ratio: 1.05 + ground_truth_formula: + file: None + features: + - name: MYCT + type: continuous + train_range: [25.0, 1100.0] + ood_range: [17.0, 1500.0] + - name: MMIN + type: discrete + train_range: [256.0, 262.0, 384.0, 500.0, 512.0, 524.0, 768.0, 1000.0, 1310.0, 2000.0, 2300.0, 2620.0, 3000.0, 3100.0, 4000.0, 5000.0, 5240.0, 8000.0, 16000.0] + ood_range: [64.0, 96.0, 128.0, 192.0, 256.0, 512.0, 768.0, 1000.0, 2000.0, 4000.0, 8000.0, 16000.0, 32000.0] + - name: MMAX + type: discrete + train_range: [512.0, 1000.0, 1500.0, 2000.0, 2620.0, 3000.0, 3500.0, 4000.0, 4500.0, 5000.0, 6000.0, 6200.0, 8000.0, 10480.0, 12000.0, 16000.0, 20970.0, 24000.0, 32000.0] + ood_range: [64.0, 512.0, 768.0, 1000.0, 2000.0, 4000.0, 6000.0, 8000.0, 16000.0, 32000.0, 64000.0] + - name: CACH + type: discrete + train_range: [0.0, 1.0, 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2.498569965362549] + ood_range: [-38.27360153198242, 2.4997799396514893] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/344_mv/ood_test.csv b/srbench1.0/blackbox/344_mv/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a688cc700bf630749523c6c99a18baf404f88b9 --- /dev/null +++ b/srbench1.0/blackbox/344_mv/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:709b41c2c9d226143b9438f2249ad9bf86fdbaf613ce7911d6dc4d56d0bd087b +size 767116 diff --git a/srbench1.0/blackbox/344_mv/package.tar.gz b/srbench1.0/blackbox/344_mv/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..d501dd674dca99ad8763dbed7c967e719a40cd4f --- /dev/null +++ b/srbench1.0/blackbox/344_mv/package.tar.gz @@ -0,0 +1,3 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a/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/id_test.csv b/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b657126df0ab3db394f8e660458f34f9e87789eb --- /dev/null +++ b/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f848c64f5e9f9459f6b46c0d44cf3e73b2ba0522ed21d7e78ef52a0551c55f8 +size 213125 diff --git a/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/metadata.yaml b/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3a0cf99252ead504391efc9016089ad6a2198a14 --- /dev/null +++ b/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/metadata.yaml @@ -0,0 +1,505 @@ +dataset: + name: srbench1.0__blackbox__4544_GeographicalOriginalofMusic + description: + splits: + train: + file: train.csv + samples: 739 + ratio: 7.95 + valid: + file: valid.csv + samples: 92 + ratio: 0.99 + id_test: + file: id_test.csv + samples: 93 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 135 + ratio: 1.45 + ground_truth_formula: + file: None + features: + - name: V1 + type: continuous + train_range: [-1.466223955154419, 8.587176322937012] + ood_range: [-1.5294630527496338, 9.439498901367188] + - name: V2 + type: continuous + train_range: [-1.4237749576568604, 7.835324764251709] + ood_range: [-1.4765599966049194, 10.719304084777832] + - name: V3 + type: continuous + train_range: [-1.1158629655838013, 5.750638961791992] + ood_range: [-1.1336669921875, 6.157846927642822] + - name: V4 + type: continuous + train_range: [-2.925863981246948, 3.528527975082397] + ood_range: [-3.222672939300537, 5.926861763000488] + - name: V5 + type: continuous + train_range: [-3.3268918991088867, 2.1264588832855225] + ood_range: [-3.3863890171051025, 2.2802300453186035] + - name: V6 + type: continuous + train_range: [-3.5658090114593506, 2.815000057220459] + ood_range: [-4.366686820983887, 2.897006034851074] + - name: V7 + type: continuous + train_range: [-3.71660590171814, 2.48075008392334] + ood_range: [-4.291933059692383, 2.72012710571289] + - name: V8 + type: continuous + train_range: [-5.155231952667236, 2.93376088142395] + ood_range: [-5.287407875061035, 3.127494096755981] + - name: V9 + type: continuous + train_range: [-3.7666380405426025, 2.4258899688720703] + ood_range: [-5.281537055969238, 3.948652029037476] + - name: V10 + type: continuous + train_range: [-4.0980401039123535, 2.1268320083618164] + ood_range: [-6.856485843658447, 3.492393016815185] + - name: V11 + type: continuous + train_range: [-3.545083999633789, 4.897839069366455] + ood_range: [-5.6895928382873535, 5.912188053131104] + - name: V12 + type: continuous + train_range: [-4.5717082023620605, 3.580434083938598] + ood_range: [-5.088503837585449, 4.1434831619262695] + - name: V13 + type: continuous + train_range: [-3.602250099182129, 3.744947910308838] + ood_range: [-4.009761810302734, 3.984076023101807] + - name: V14 + type: continuous + train_range: [-5.230584144592285, 4.40333890914917] + ood_range: [-5.703061103820801, 7.032403945922852] + - name: V15 + type: continuous + train_range: [-3.438599109649658, 4.024006843566895] + ood_range: [-4.168885231018066, 6.177694797515869] + - name: V16 + type: continuous + train_range: [-3.8033061027526855, 3.000643014907837] + ood_range: [-4.237720966339111, 5.798594951629639] + - name: V17 + type: continuous + train_range: [-4.3645100593566895, 3.1257998943328857] + ood_range: [-5.465137958526611, 4.749991893768311] + - name: V18 + type: continuous + train_range: [-0.7593070268630981, 5.338674068450928] + ood_range: [-0.7623850107192993, 8.724732398986816] + - name: V19 + type: continuous + train_range: [-0.7593070268630981, 5.338674068450928] + ood_range: [-0.7623850107192993, 8.724732398986816] + - name: V20 + type: continuous + train_range: [-0.7593070268630981, 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+ citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/ood_test.csv b/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0b0c0e0d43716ff9202c0a85e44ec6332f1b5f6e --- /dev/null +++ b/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:706971492635840775e488b7acb3c9008fbc83905a8abbef296013af946fc292 +size 307995 diff --git a/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/package.tar.gz b/srbench1.0/blackbox/4544_GeographicalOriginalofMusic/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..741fae3c419b6918fae9ae8e10e49c1e42b79b6f --- /dev/null +++ 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-0,0 +1,53 @@ +dataset: + name: srbench1.0__blackbox__485_analcatdata_vehicle + description: + splits: + train: + file: train.csv + samples: 32 + ratio: 8 + valid: + file: valid.csv + samples: 4 + ratio: 1 + id_test: + file: id_test.csv + samples: 4 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 8 + ratio: 2 + ground_truth_formula: + file: None + features: + - name: Alcohol-related + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Gender + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Type + type: discrete + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + - name: Age + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0] + ood_range: [5.0] + + target: + name: target + type: continuous + train_range: [28.0, 1112.0] + ood_range: [36.0, 797.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - 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b/srbench1.0/blackbox/503_wind/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e048b72d50111457fa7b4ab8e23da3470fb697ac --- /dev/null +++ b/srbench1.0/blackbox/503_wind/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:146ebe22f7c3dbae0151c0e6bfdacf87a86c7c97b5119f5559c831f58854e22a +size 115122 diff --git a/srbench1.0/blackbox/503_wind/metadata.yaml b/srbench1.0/blackbox/503_wind/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..95c57b22631cc822551f2b2f074a74a4260e8868 --- /dev/null +++ b/srbench1.0/blackbox/503_wind/metadata.yaml @@ -0,0 +1,93 @@ +dataset: + name: srbench1.0__blackbox__503_wind + description: + splits: + train: + file: train.csv + samples: 4410 + ratio: 7.99 + valid: + file: valid.csv + samples: 551 + ratio: 1.00 + id_test: + file: id_test.csv + samples: 552 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1061 + ratio: 1.92 + ground_truth_formula: + file: None + features: + - name: year + type: discrete + train_range: [62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0] + ood_range: [61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0] + - name: month + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0] + - name: day + type: discrete + train_range: [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0] + - name: RPT + type: continuous + train_range: [1.0, 33.84000015258789] + ood_range: [0.6700000166893005, 35.79999923706055] + - 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15.460000038146973, 15.59000015258789, 15.630000114440918, 15.670000076293944, 15.75, 15.960000038146973, 16.0, 16.1299991607666, 16.290000915527344, 16.420000076293945, 16.459999084472656, 16.8799991607666, 17.079999923706055, 17.6200008392334, 18.049999237060547, 18.40999984741211, 18.459999084472656, 18.5, 18.540000915527344, 18.57999992370605, 19.290000915527344, 19.5, 19.57999992370605, 19.700000762939453, 20.299999237060547, 20.32999992370605, 20.670000076293945, 22.82999992370605, 24.25, 26.040000915527344, 26.15999984741211] + - name: DUB + type: continuous + train_range: [0.4199999868869781, 29.540000915527344] + ood_range: [0.0, 30.3700008392334] + - name: CLA + type: continuous + train_range: [0.0399999991059303, 28.209999084472656] + ood_range: [0.0, 31.07999992370605] + - name: MUL + type: continuous + train_range: [0.1700000017881393, 25.290000915527344] + ood_range: [0.0, 25.8799991607666] + - name: CLO + type: continuous + train_range: [0.1299999952316284, 25.3700008392334] + ood_range: [0.0399999991059303, 28.209999084472656] + - name: BEL + type: continuous + train_range: [0.6700000166893005, 38.959999084472656] + ood_range: [0.1299999952316284, 42.380001068115234] + + target: + name: target + type: continuous + train_range: [0.6700000166893005, 42.540000915527344] + ood_range: [2.0, 41.459999084472656] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/503_wind/ood_test.csv b/srbench1.0/blackbox/503_wind/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..edbfffbd51ebf6155f67c0763bd897c271988e04 --- /dev/null +++ b/srbench1.0/blackbox/503_wind/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2a0ff693b533693d8ed3d6bd0e379634aa2c56f173481fecac2922553b6a397 +size 221411 diff --git a/srbench1.0/blackbox/503_wind/package.tar.gz b/srbench1.0/blackbox/503_wind/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..83c8484af95f9de288609581f4394293c12d0d7a --- /dev/null +++ b/srbench1.0/blackbox/503_wind/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:551ef43ad64a886d3dd9df67ae422b546615f01097b2bdc54f469da5f4aa884d +size 210915 diff --git a/srbench1.0/blackbox/503_wind/train.csv b/srbench1.0/blackbox/503_wind/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..3b047020d18d8a412ad19be9be9be838611e9ae6 --- /dev/null +++ b/srbench1.0/blackbox/503_wind/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a6ed2be9018fa775f7730426f6f760f601ad5df9fef9cd29d27820c8c367c7f +size 917889 diff --git a/srbench1.0/blackbox/503_wind/valid.csv b/srbench1.0/blackbox/503_wind/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea2cfc54f7747e6bc3128b3c30d4e48d9e898267 --- /dev/null +++ b/srbench1.0/blackbox/503_wind/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a8d5d5d650519f079b39ca1456f74c06b0044137bd783f27b3c6ec55908ca168 +size 114819 diff --git a/srbench1.0/blackbox/505_tecator/id_test.csv b/srbench1.0/blackbox/505_tecator/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c568518129077be0e9d968031dd147c14550c7b8 --- /dev/null +++ b/srbench1.0/blackbox/505_tecator/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ac80b5bc69f9dcb1f317354faa498bfd7817f86aa57c5755aca0b0b0e54a48a +size 50227 diff --git a/srbench1.0/blackbox/505_tecator/metadata.yaml b/srbench1.0/blackbox/505_tecator/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f734f25afd283d94edf8dfc117482c8cc176c4cc --- /dev/null +++ b/srbench1.0/blackbox/505_tecator/metadata.yaml @@ -0,0 +1,533 @@ +dataset: + name: srbench1.0__blackbox__505_tecator + description: + splits: + train: + file: train.csv + samples: 161 + ratio: 7.67 + valid: + file: valid.csv + samples: 20 + ratio: 0.95 + id_test: + file: id_test.csv + samples: 21 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 38 + ratio: 1.81 + ground_truth_formula: + file: None + features: + - name: absorbance_1 + type: continuous + train_range: [2.184390068054199, 3.8654301166534415] + ood_range: [2.066420078277588, 4.237279891967773] + - name: absorbance_2 + type: continuous + train_range: [2.1836299896240234, 3.872169971466065] + ood_range: [2.0658299922943115, 4.2472100257873535] + - name: absorbance_3 + type: continuous + train_range: [2.182810068130493, 3.8789899349212646] + ood_range: [2.0651800632476807, 4.257369995117188] + - name: absorbance_4 + type: continuous + train_range: [2.1820199489593506, 3.885950088500977] + ood_range: [2.064650058746338, 4.267730236053467] + - name: absorbance_5 + type: continuous + train_range: [2.181299924850464, 3.893090009689331] + ood_range: [2.064169883728028, 4.278470039367676] + - name: absorbance_6 + type: continuous + train_range: [2.1807000637054443, 3.900470018386841] + ood_range: [2.063730001449585, 4.289680004119873] + - name: absorbance_7 + type: continuous + train_range: [2.180269956588745, 3.908050060272217] + ood_range: [2.0634000301361084, 4.301330089569092] + - name: absorbance_8 + type: continuous + train_range: [2.1799800395965576, 3.915750026702881] + ood_range: [2.0631399154663086, 4.313310146331787] + - name: absorbance_9 + type: continuous + train_range: [2.1798300743103027, 3.923660039901733] + ood_range: [2.0630099773406982, 4.325870037078857] + - name: absorbance_10 + type: continuous + train_range: [2.179970026016236, 3.931950092315674] + ood_range: [2.0631699562072754, 4.339270114898682] + - name: absorbance_11 + type: continuous + train_range: [2.1803300380706787, 3.940639972686768] + ood_range: [2.063469886779785, 4.353300094604492] + - name: absorbance_12 + type: continuous + train_range: [2.180910110473633, 3.9495699405670166] + ood_range: [2.0638699531555176, 4.368110179901123] + - name: absorbance_13 + type: continuous + train_range: [2.1816999912261963, 3.958699941635132] + ood_range: [2.064340114593506, 4.383820056915283] + - name: absorbance_14 + type: continuous + train_range: [2.182729959487915, 3.968050003051758] + ood_range: [2.064929962158203, 4.400589942932129] + - name: absorbance_15 + type: continuous + train_range: [2.184000015258789, 3.977730035781861] + ood_range: [2.0657200813293457, 4.4185099601745605] + - name: absorbance_16 + type: continuous + train_range: [2.18550992012024, 3.987859964370728] + ood_range: [2.06673002243042, 4.437620162963867] + - name: absorbance_17 + type: continuous + train_range: [2.187340021133423, 3.9984400272369385] + ood_range: [2.0679399967193604, 4.457930088043213] + - name: absorbance_18 + type: continuous + train_range: 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name: absorbance_25 + type: continuous + train_range: [2.2108099460601807, 4.092959880828857] + ood_range: [2.084160089492798, 4.652969837188721] + - name: absorbance_26 + type: continuous + train_range: [2.2139899730682373, 4.104879856109619] + ood_range: [2.08646011352539, 4.675469875335693] + - name: absorbance_27 + type: continuous + train_range: [2.21724009513855, 4.116799831390381] + ood_range: [2.088710069656372, 4.698989868164063] + - name: absorbance_28 + type: continuous + train_range: [2.2206199169158936, 4.129039764404297] + ood_range: [2.090840101242065, 4.725110054016113] + - name: absorbance_29 + type: continuous + train_range: [2.2242300510406494, 4.14169979095459] + ood_range: [2.0928900241851807, 4.75482988357544] + - name: absorbance_30 + type: continuous + train_range: [2.228070020675659, 4.154759883880615] + ood_range: [2.0947799682617188, 4.78872013092041] + - name: absorbance_31 + type: continuous + train_range: [2.232140064239502, 4.168109893798828] + ood_range: [2.0966100692749023, 4.8259100914001465] + - name: absorbance_32 + type: continuous + train_range: [2.236439943313598, 4.181590080261231] + ood_range: [2.098489999771118, 4.864659786224365] + - name: absorbance_33 + type: continuous + train_range: [2.241029977798462, 4.195000171661377] + ood_range: [2.1006600856781006, 4.903019905090332] + - name: absorbance_34 + type: continuous + train_range: [2.2445099353790283, 4.208270072937012] + ood_range: [2.103470087051392, 4.939740180969238] + - name: absorbance_35 + type: continuous + train_range: [2.24891996383667, 4.221829891204834] + ood_range: [2.107219934463501, 4.975460052490234] + - name: absorbance_36 + type: continuous + train_range: [2.2547800540924072, 4.236070156097412] + ood_range: [2.1122400760650635, 5.01170015335083] + - name: absorbance_37 + type: continuous + train_range: [2.2626399993896484, 4.251719951629639] + ood_range: [2.119080066680908, 5.0487799644470215] + - name: absorbance_38 + type: continuous + train_range: 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moisture + type: continuous + train_range: [34.04999923706055, 75.5999984741211] + ood_range: [32.79999923706055, 76.5999984741211] + - name: protein + type: continuous + train_range: [9.789999961853027, 22.89999961853028] + ood_range: [8.800000190734863, 23.200000762939453] + + target: + name: target + type: continuous + train_range: [1.7000000476837158, 56.130001068115234] + ood_range: [0.8999999761581421, 58.5] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/505_tecator/ood_test.csv b/srbench1.0/blackbox/505_tecator/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5cde172f2693bddef44d167701262346baffad33 --- /dev/null +++ b/srbench1.0/blackbox/505_tecator/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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--- /dev/null +++ b/srbench1.0/blackbox/519_vinnie/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: srbench1.0__blackbox__519_vinnie + description: + splits: + train: + file: train.csv + samples: 269 + ratio: 7.69 + valid: + file: valid.csv + samples: 33 + ratio: 0.94 + id_test: + file: id_test.csv + samples: 35 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 43 + ratio: 1.23 + ground_truth_formula: + file: None + features: + - name: year + type: discrete + train_range: [85, 86, 87, 88] + ood_range: [85, 86, 87, 88] + - name: field_goal_attempts + type: discrete + train_range: [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] + ood_range: [1, 3, 4, 5, 21, 22, 23, 24, 25] + + target: + name: target + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0] + ood_range: [0.0, 1.0, 2.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/519_vinnie/ood_test.csv b/srbench1.0/blackbox/519_vinnie/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..12851da4c2f0f8227fbacd376192775c627c35f3 --- /dev/null +++ b/srbench1.0/blackbox/519_vinnie/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2121173af3dc39a70bbd754551562a256f8ad04b870e79cd5a0825d5fef51101 +size 450 diff --git a/srbench1.0/blackbox/519_vinnie/package.tar.gz b/srbench1.0/blackbox/519_vinnie/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..39f4610d432e05fb4e40a0e837dbea35d16b767e --- /dev/null +++ b/srbench1.0/blackbox/519_vinnie/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cbbf6b3986a81d291af913e19a4e84ef027572979d73ac3d0e06ccc353f1d226 +size 1858 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[3.970289945602417, 8.340689659118652] + ood_range: [3.8066599369049072, 8.352080345153809] + - name: temperature_at_2m + type: continuous + train_range: [-18.600000381469727, 16.799999237060547] + ood_range: [-19.0, 21.89999961853028] + - name: wind_speed + type: continuous + train_range: [0.4000000059604645, 9.399999618530272] + ood_range: [0.3000000119209289, 9.899999618530272] + - name: temperature_diff_2m_25m + type: continuous + train_range: [-4.5, 3.700000047683716] + ood_range: [-5.0, 4.0] + - name: wind_direction + type: continuous + train_range: [9.0, 357.5] + ood_range: [5.0, 358.0] + - name: hour_of_day + type: discrete + train_range: [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0] + ood_range: [1.0, 3.0, 4.0, 5.0, 8.0, 10.0, 15.0, 16.0, 19.0, 21.0, 22.0, 24.0] + - name: day + type: continuous + train_range: [33.0, 606.0] + ood_range: [32.0, 608.0] + + target: + name: target + type: continuous + 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ground_truth_formula: + file: None + features: + - name: Bush00 + type: continuous + train_range: [2153.0, 177279.0] + ood_range: [1316.0, 289456.0] + - name: Buchanan00 + type: continuous + train_range: [22.0, 836.0] + ood_range: [9.0, 3407.0] + - name: Nader00 + type: continuous + train_range: [39.0, 7348.0] + ood_range: [19.0, 9986.0] + - name: Browne00 + type: continuous + train_range: [10.0, 1212.0] + ood_range: [4.0, 3211.0] + - name: Hagelin00 + type: continuous + train_range: [1.0, 215.0] + ood_range: [0.0, 444.0] + - name: Harris00 + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 11.0, 13.0, 14.0, 18.0, 30.0, 35.0, 36.0, 38.0, 49.0] + ood_range: [0.0, 1.0, 3.0, 4.0, 40.0, 45.0, 88.0, 9888.0] + - name: McReynolds00 + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 14.0, 16.0, 29.0, 35.0] + ood_range: [0.0, 1.0, 3.0, 27.0, 36.0, 302.0, 658.0] + - name: Moorehead00 + type: continuous + train_range: [2.0, 150.0] + ood_range: [0.0, 167.0] + - name: Phillips00 + type: continuous + train_range: [0.0, 110.0] + ood_range: [0.0, 2927.0] + - name: Total00 + type: continuous + train_range: [3973.0, 573306.0] + ood_range: [2403.0, 625269.0] + - name: Clinton96 + type: continuous + train_range: [1731.0, 320736.0] + ood_range: [829.0, 317378.0] + - name: Dole96 + type: continuous + train_range: [1398.0, 142834.0] + ood_range: [913.0, 209634.0] + - name: Perot96 + type: continuous + train_range: [406.0, 38964.0] + ood_range: [316.0, 36990.0] + - name: Total96 + type: continuous + train_range: [3670.0, 505105.0] + ood_range: [2164.0, 553491.0] + + target: + name: target + type: continuous + train_range: [1718.0, 386518.0] + ood_range: [788.0, 328702.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git 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file: None + features: + - name: RIDGE + type: continuous + train_range: [-14.437899589538574, 12.546099662780762] + ood_range: [-23.283899307250977, 21.40660095214844] + - name: NUB + type: continuous + train_range: [-9.740400314331056, 10.62339973449707] + ood_range: [-16.39349937438965, 17.25830078125] + - name: CRACK + type: continuous + train_range: [-18.902299880981445, 18.183799743652344] + ood_range: [-31.413000106811523, 30.317800521850582] + - name: WEIGHT + type: continuous + train_range: [-20.190900802612305, 21.91309928894043] + ood_range: [-34.03519821166992, 35.80279922485352] + + target: + name: target + type: continuous + train_range: [-12.03909969329834, 10.154800415039062] + ood_range: [-11.87720012664795, 10.867300033569336] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git 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[12.0, 24.0, 37.0, 45.0, 46.0, 48.0, 55.0, 67.0] + - name: JULT + type: discrete + train_range: [64.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0] + ood_range: [63.0, 70.0, 72.0, 73.0, 78.0, 82.0, 84.0, 85.0] + - name: OVR65 + type: continuous + train_range: [6.099999904632568, 11.300000190734863] + ood_range: [5.599999904632568, 11.800000190734863] + - name: POPN + type: continuous + train_range: [2.990000009536743, 3.490000009536743] + ood_range: [2.9200000762939453, 3.5299999713897705] + - name: EDUC + type: continuous + train_range: [9.0, 12.199999809265137] + ood_range: [10.800000190734863, 12.300000190734863] + - name: HOUS + type: continuous + train_range: [66.80000305175781, 90.6999969482422] + ood_range: [79.5, 89.5] + - name: DENS + type: continuous + train_range: [1671.0, 9699.0] + ood_range: [1441.0, 5308.0] + - name: NONW + type: continuous + train_range: [0.800000011920929, 38.5] + ood_range: [1.0, 25.89999961853028] + - name: WWDRK + type: continuous + train_range: [38.59999847412109, 54.29999923706055] + ood_range: [33.79999923706055, 59.70000076293945] + - name: POOR + type: continuous + train_range: [9.399999618530272, 26.39999961853028] + ood_range: [9.800000190734863, 22.39999961853028] + - name: HC + type: continuous + train_range: [4.0, 648.0] + ood_range: [1.0, 311.0] + - name: NOX + type: continuous + train_range: [2.0, 319.0] + ood_range: [1.0, 171.0] + - name: SO2 + type: continuous + train_range: [1.0, 278.0] + ood_range: [1.0, 102.0] + - name: HUMID + type: discrete + train_range: [38.0, 47.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 64.0, 71.0, 72.0, 73.0] + ood_range: [52.0, 53.0, 54.0, 56.0, 58.0, 59.0, 60.0, 61.0, 71.0] + + target: + name: target + type: continuous + train_range: [790.7329711914062, 1113.156005859375] + ood_range: [839.708984375, 967.802978515625] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/542_pollution/ood_test.csv b/srbench1.0/blackbox/542_pollution/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5d69c5b5b82c70ac9d1c72cf9e483b708e3a6a32 --- /dev/null +++ b/srbench1.0/blackbox/542_pollution/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c8d380d9f4d2ecfdee4767063defd4664296df07dd4b28f184b16c7fab0f5fe +size 1717 diff --git a/srbench1.0/blackbox/542_pollution/package.tar.gz b/srbench1.0/blackbox/542_pollution/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9c2c464f14282b555ec72717978967006077892a --- /dev/null +++ b/srbench1.0/blackbox/542_pollution/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:650168da364d50733a18b4129818e4134fe7fe4950e3c94319e06cdeec4f0e06 +size 4187 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ood_test.csv + samples: 50 + ratio: 1.16 + ground_truth_formula: + file: None + features: + - name: Scorer_1 + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0] + ood_range: [0.0, 1.0, 2.0, 3.0, 4.0] + - name: Scorer_2 + type: discrete + train_range: [0.0, 1.0, 2.0, 3.0, 4.0] + ood_range: [0.0, 1.0, 2.0, 3.0, 4.0] + - name: Subject + type: discrete + train_range: [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0] + ood_range: [1.0, 19.0] + + target: + name: target + type: continuous + train_range: [0.0, 23641.0] + ood_range: [0.0, 17457.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/557_analcatdata_apnea1/ood_test.csv b/srbench1.0/blackbox/557_analcatdata_apnea1/ood_test.csv new file mode 100644 index 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46.0] + ood_range: [33.0, 49.09999847412109] + - name: Ankle + type: continuous + train_range: [20.39999961853028, 26.299999237060547] + ood_range: [19.100000381469727, 33.900001525878906] + - name: Biceps + type: continuous + train_range: [25.600000381469727, 39.09999847412109] + ood_range: [24.799999237060547, 45.0] + - name: Forearm + type: continuous + train_range: [23.100000381469727, 33.79999923706055] + ood_range: [21.0, 34.900001525878906] + - name: Wrist + type: continuous + train_range: [16.299999237060547, 20.200000762939453] + ood_range: [15.800000190734863, 21.39999961853028] + + target: + name: target + type: continuous + train_range: [3.700000047683716, 40.09999847412109] + ood_range: [0.0, 47.5] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git 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https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/562_cpu_small/ood_test.csv b/srbench1.0/blackbox/562_cpu_small/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..dda3fa19ef71cecbdc2451e17065210d36d906c5 --- /dev/null +++ b/srbench1.0/blackbox/562_cpu_small/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65ece8130829790f0bf3267401998f2641d5f47dd2f4cf6a753976e322073930 +size 106843 diff --git a/srbench1.0/blackbox/562_cpu_small/package.tar.gz b/srbench1.0/blackbox/562_cpu_small/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..47620936ba848f547e61e255629e18d1f1be8481 --- /dev/null +++ b/srbench1.0/blackbox/562_cpu_small/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9930c81a589e4624f83bc372337e4367c662b1e98570f4308ec4cb9460910118 +size 236979 diff --git a/srbench1.0/blackbox/562_cpu_small/train.csv b/srbench1.0/blackbox/562_cpu_small/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..b4075dce30c450befe275bd55885f1830aa72f3a --- /dev/null +++ b/srbench1.0/blackbox/562_cpu_small/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b99addacfb9ac8833d6182a18ac02846e23b49b025d783182960620169e87030 +size 636624 diff --git a/srbench1.0/blackbox/562_cpu_small/valid.csv b/srbench1.0/blackbox/562_cpu_small/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d296ce4f1fb151b13ec9cdcbc2d394e16157023 --- /dev/null +++ b/srbench1.0/blackbox/562_cpu_small/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ffbcea8aab2a7f20ff498ae13f4b1325edce9cc9efe1c4c76a6788347b983e20 +size 79840 diff --git a/srbench1.0/blackbox/564_fried/id_test.csv b/srbench1.0/blackbox/564_fried/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..87528a1406ec185b90785f35c9a1a6c1d2d99e22 --- /dev/null +++ b/srbench1.0/blackbox/564_fried/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d352d79477149880765cce42d09c1c844c0dc4290990f7d25bde1e12475d093a +size 753303 diff --git a/srbench1.0/blackbox/564_fried/metadata.yaml b/srbench1.0/blackbox/564_fried/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ec25940817f967777dc466cd46c76555357ec113 --- /dev/null +++ b/srbench1.0/blackbox/564_fried/metadata.yaml @@ -0,0 +1,77 @@ +dataset: + name: srbench1.0__blackbox__564_fried + description: + splits: + train: + file: train.csv + samples: 29195 + ratio: 8.00 + valid: + file: valid.csv + samples: 3649 + ratio: 1.00 + id_test: + file: id_test.csv + samples: 3650 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 4274 + ratio: 1.17 + ground_truth_formula: + file: None + features: + - name: X1 + type: discrete + train_range: 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[-1.2280000448226929, 29.75200080871582] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/564_fried/ood_test.csv b/srbench1.0/blackbox/564_fried/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cba199b412f3243608172bbdac5f9ba8cb6c9832 --- /dev/null +++ b/srbench1.0/blackbox/564_fried/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6d03ff8b54ae5c41ff9d68a08ad90ce9cd2cd25e9cc389aa67c5df1afde9b6ff +size 875907 diff --git a/srbench1.0/blackbox/564_fried/package.tar.gz b/srbench1.0/blackbox/564_fried/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..445a9804c8bb4ada2b30b3c26d22059b9d64ada9 --- /dev/null +++ b/srbench1.0/blackbox/564_fried/package.tar.gz @@ -0,0 +1,3 @@ +version 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a/srbench1.0/blackbox/573_cpu_act/id_test.csv b/srbench1.0/blackbox/573_cpu_act/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..88f7dbeedb3714d17296ab8a810c5d015ad7128b --- /dev/null +++ b/srbench1.0/blackbox/573_cpu_act/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a0a0a835fd928203603d950ec067c50abd1538c2c1f7ed96925a3a0caf5bd91 +size 157747 diff --git a/srbench1.0/blackbox/573_cpu_act/metadata.yaml b/srbench1.0/blackbox/573_cpu_act/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..de49844f3d7045216d64a0cebe82e1d97ebd8738 --- /dev/null +++ b/srbench1.0/blackbox/573_cpu_act/metadata.yaml @@ -0,0 +1,121 @@ +dataset: + name: srbench1.0__blackbox__573_cpu_act + description: + splits: + train: + file: train.csv + samples: 5742 + ratio: 7.99 + valid: + file: valid.csv + samples: 717 + ratio: 1.00 + id_test: + file: id_test.csv + samples: 719 + ratio: 1 + ood_test: + file: ood_test.csv + 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107.58000183105467, 123.9499969482422, 152.8000030517578, 211.5800018310547] + - name: pgin + type: continuous + train_range: [0.0, 126.4499969482422] + ood_range: [0.0, 141.1999969482422] + - name: ppgin + type: continuous + train_range: [0.0, 291.6199951171875] + ood_range: [0.0, 292.6099853515625] + - name: pflt + type: continuous + train_range: [11.579999923706056, 745.2899780273438] + ood_range: [0.0, 899.7999877929688] + - name: vflt + type: continuous + train_range: [12.920000076293944, 1324.6500244140625] + ood_range: [0.2000000029802322, 1365.0] + - name: runqsz + type: discrete + train_range: [1.0, 1.2000000476837158, 1.2999999523162842, 1.399999976158142, 1.5, 1.600000023841858, 1.7000000476837158, 1.7999999523162842, 2.0, 2.200000047683716, 2.299999952316284, 2.400000095367432, 2.5, 2.5999999046325684, 2.700000047683716, 2.799999952316284, 3.0, 3.200000047683716, 3.299999952316284, 3.400000095367432, 3.5, 3.5999999046325684, 3.700000047683716, 3.799999952316284, 4.0, 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name: target + type: discrete + train_range: [49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0] + ood_range: [0.0, 1.0, 2.0, 46.0, 51.0, 57.0, 69.0, 70.0, 71.0, 73.0, 75.0, 78.0, 79.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/573_cpu_act/ood_test.csv b/srbench1.0/blackbox/573_cpu_act/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..61205e6653a404795936e04335f44a5e74f7c840 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0.9070984125137328] + ood_range: [0.0, 0.917254626750946] + - name: P14p9 + type: continuous + train_range: [0.0006776999798603, 0.4543462097644806] + ood_range: [0.0, 0.511871874332428] + - name: P15p1 + type: continuous + train_range: [0.1206405013799667, 0.996944010257721] + ood_range: [0.0541561990976333, 1.0] + - name: P15p3 + type: continuous + train_range: [0.0, 0.8513380289077759] + ood_range: [0.0, 0.9433249235153198] + - name: P16p2 + type: continuous + train_range: [0.2577987015247345, 0.9959099888801576] + ood_range: [0.2337023019790649, 1.0] + - name: P18p2 + type: continuous + train_range: [0.0, 0.0714285969734191] + ood_range: [0.0, 0.125] + - name: P27p4 + type: continuous + train_range: [0.0004846999945584, 0.4005303084850311] + ood_range: [0.0, 0.7057356834411621] + - name: H2p2 + type: continuous + train_range: [0.0040107001550495, 0.9403669834136964] + ood_range: [0.0, 0.97517728805542] + - name: H8p2 + type: continuous + train_range: [0.0, 0.99928617477417] + ood_range: [0.0, 1.0] + - name: H10p1 + type: continuous + train_range: [0.0054644998162984, 1.0] + ood_range: [0.0032573000062257, 1.0] + - name: H13p1 + type: continuous + train_range: [0.0013986000558361, 0.9904761910438538] + ood_range: [0.0, 1.0] + - name: H18pA + type: continuous + train_range: [0.0008605999755673, 0.75] + ood_range: [0.0, 1.0] + - name: H40p4 + type: continuous + train_range: [0.0, 1.0] + ood_range: [0.0, 1.0] + + target: + name: target + type: continuous + train_range: [0.0, 500001.0] + ood_range: [0.0, 500001.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/574_house_16H/ood_test.csv b/srbench1.0/blackbox/574_house_16H/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..66a86146427371b6a4c408fb32cb096e2097be1f --- 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srbench1.0__blackbox__588_fri_c4_1000_100 + description: + splits: + train: + file: train.csv + samples: 664 + ratio: 8 + valid: + file: valid.csv + samples: 83 + ratio: 1 + id_test: + file: id_test.csv + samples: 83 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 170 + ratio: 2.05 + ground_truth_formula: + file: None + features: + - name: oz1 + type: continuous + train_range: [-2.185011148452759, 2.214031219482422] + ood_range: [-2.276466131210327, 2.43296766281128] + - name: oz2 + type: continuous + train_range: [-1.693831205368042, 1.7078391313552856] + ood_range: [-1.6942744255065918, 1.7144551277160645] + - name: oz3 + type: continuous + train_range: [-1.8737616539001465, 3.111011743545532] + ood_range: [-2.0799591541290283, 3.338827610015869] + - name: oz4 + type: continuous + train_range: [-1.6665621995925903, 1.758731722831726] + ood_range: [-1.6693153381347656, 1.7616273164749146] + - name: oz5 + type: continuous + train_range: [-1.6710865497589111, 3.719559907913208] + 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valid.csv + samples: 22 + ratio: 0.96 + id_test: + file: id_test.csv + samples: 23 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 25 + ratio: 1.09 + ground_truth_formula: + file: None + features: + - name: oz1 + type: continuous + train_range: [-2.089406967163086, 1.97974693775177] + ood_range: [-2.272625684738159, 2.273314476013184] + - name: oz2 + type: continuous + train_range: [-1.5896964073181152, 1.744820237159729] + ood_range: [-1.6603585481643677, 1.782225251197815] + - name: oz3 + type: continuous + train_range: [-1.7341012954711914, 1.5617411136627195] + ood_range: [-1.7715915441513062, 1.6199705600738523] + - name: oz4 + type: continuous + train_range: [-1.7029154300689695, 1.6033804416656494] + ood_range: [-1.7858575582504272, 1.638412356376648] + - name: oz5 + type: continuous + train_range: [-1.8116170167922967, 1.5952224731445312] + ood_range: [-1.887730956077576, 1.6325571537017822] + + target: + name: target + type: continuous + train_range: 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Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/606_fri_c2_1000_10/ood_test.csv b/srbench1.0/blackbox/606_fri_c2_1000_10/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e8893c54ff313cabe3f82e82049aa7a554bd91e8 --- /dev/null +++ b/srbench1.0/blackbox/606_fri_c2_1000_10/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:47a8cd57b7da9e8ea077ba02e65e7492788d0c15bc3a23a65cc8e9361fad9dbb +size 21220 diff --git a/srbench1.0/blackbox/606_fri_c2_1000_10/package.tar.gz b/srbench1.0/blackbox/606_fri_c2_1000_10/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..d779233a94aa2af140cc9bcb1d80933d2fc4652a --- /dev/null +++ b/srbench1.0/blackbox/606_fri_c2_1000_10/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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+ resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/616_fri_c4_500_50/ood_test.csv b/srbench1.0/blackbox/616_fri_c4_500_50/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..df288584ff68af35e23db102ea62706427a6b771 --- /dev/null +++ b/srbench1.0/blackbox/616_fri_c4_500_50/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9b36cb42dfc6d3be43fe9321cdf62ddb1804f04513d7088e09971aa4f8522a11 +size 83891 diff --git a/srbench1.0/blackbox/616_fri_c4_500_50/package.tar.gz b/srbench1.0/blackbox/616_fri_c4_500_50/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..64c51abac974571163bfb0c9cbbd67657355ee1a --- /dev/null +++ b/srbench1.0/blackbox/616_fri_c4_500_50/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bb3e3a30a92f98d13b4d6b36dd9d9231c2f57a4fb8ce22f1bbe870fced534e40 +size 229569 diff 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Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/622_fri_c2_1000_50/ood_test.csv b/srbench1.0/blackbox/622_fri_c2_1000_50/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..71c5a68ab4c0630168ecb8df641c52c052907a4c --- /dev/null +++ b/srbench1.0/blackbox/622_fri_c2_1000_50/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:790485811908e1826ee486e803dbd5a4d51929ce7d266457da82f267fa7fa020 +size 110478 diff --git a/srbench1.0/blackbox/622_fri_c2_1000_50/package.tar.gz b/srbench1.0/blackbox/622_fri_c2_1000_50/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fdb0a94a8de25c63e7d8d5591cd42adb995c54ad --- /dev/null +++ b/srbench1.0/blackbox/622_fri_c2_1000_50/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:826d038c48667f4f65c3588bd15b1cc55014063537d9a845212b92cf04193772 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resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/648_fri_c1_250_50/ood_test.csv b/srbench1.0/blackbox/648_fri_c1_250_50/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a97e93baaafdeb5c7d427a227064b4eb19c7792 --- /dev/null +++ b/srbench1.0/blackbox/648_fri_c1_250_50/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:08abbbe52f0ee643ef81ec9a66ebfaa7fa36445fc1e963f67e7686846ba3734c +size 41540 diff --git a/srbench1.0/blackbox/648_fri_c1_250_50/package.tar.gz b/srbench1.0/blackbox/648_fri_c1_250_50/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f31d0b012044fc5b4fa074ec7ee4cf7422275c38 --- /dev/null +++ b/srbench1.0/blackbox/648_fri_c1_250_50/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:09b4762d15909d8a9de111b576c65b57419a39403fa8d72202ab295a843921d3 +size 117260 diff 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ood_range: [-1.910049200057984, 1.6589235067367554] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/657_fri_c2_250_10/ood_test.csv b/srbench1.0/blackbox/657_fri_c2_250_10/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..59a793059ecd408d067878d8edc1be89ef88ed6e --- /dev/null +++ b/srbench1.0/blackbox/657_fri_c2_250_10/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:046be29b3b27a93f3ad1252fddc0cd11393bf0694f25cccdd931ca674e172c3c +size 5362 diff --git a/srbench1.0/blackbox/657_fri_c2_250_10/package.tar.gz b/srbench1.0/blackbox/657_fri_c2_250_10/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..00ab5fbd337110c1eb6d314579aaa42f002e252d --- /dev/null +++ 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b/srbench1.0/blackbox/663_rabe_266/metadata.yaml @@ -0,0 +1,45 @@ +dataset: + name: srbench1.0__blackbox__663_rabe_266 + description: + splits: + train: + file: train.csv + samples: 80 + ratio: 8 + valid: + file: valid.csv + samples: 10 + ratio: 1 + id_test: + file: id_test.csv + samples: 10 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 20 + ratio: 2 + ground_truth_formula: + file: None + features: + - name: col_1 + type: discrete + train_range: [-50.0, -40.0, -30.0, -20.0, -10.0, 0.0, 10.0, 20.0, 30.0, 40.0] + ood_range: [-60.0, 50.0] + - name: col_2 + type: discrete + train_range: [5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0] + ood_range: [5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0] + + target: + name: target + type: continuous + train_range: [-142.0, 36.0] + ood_range: [-145.0, 48.0] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - 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srbench1.0__blackbox__695_chatfield_4 + description: + splits: + train: + file: train.csv + samples: 163 + ratio: 7.76 + valid: + file: valid.csv + samples: 20 + ratio: 0.95 + id_test: + file: id_test.csv + samples: 21 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 31 + ratio: 1.48 + ground_truth_formula: + file: None + features: + - name: col_1 + type: continuous + train_range: [1750.0, 1980.0] + ood_range: [1749.0, 1983.0] + - name: col_2 + type: continuous + train_range: [0.2000000029802322, 159.60000610351562] + ood_range: [0.0, 217.3999938964844] + - name: col_3 + type: continuous + train_range: [0.5, 165.6999969482422] + ood_range: [0.0, 182.3000030517578] + - name: col_4 + type: continuous + train_range: [3.0999999046325684, 159.39999389648438] + ood_range: [0.0, 190.6999969482422] + - name: col_5 + type: continuous + train_range: [1.399999976158142, 189.6999969482422] + ood_range: [0.0, 196.0] + - name: col_6 + type: continuous + train_range: [0.800000011920929, 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Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/blackbox/695_chatfield_4/ood_test.csv b/srbench1.0/blackbox/695_chatfield_4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..886cc594b948f996223f4f9005ec384f4389da95 --- /dev/null +++ b/srbench1.0/blackbox/695_chatfield_4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b21443386cd478326b020e8300a6ab2f551c64961283e6b1ab4da0e264ec84d9 +size 5270 diff --git a/srbench1.0/blackbox/695_chatfield_4/package.tar.gz b/srbench1.0/blackbox/695_chatfield_4/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..51b6cffaa54017465f97cbb6d1fe076f5f907dcf --- /dev/null +++ b/srbench1.0/blackbox/695_chatfield_4/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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+ samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: I_0 + type: continuous + train_range: [1.0000551050971014, 4.999879610170551] + ood_range: [0.8000910469948914, 5.199981325054039] + - name: q + type: continuous + train_range: [1.0000099224509191, 1.9999894452285296] + ood_range: [0.9500015332828156, 2.0499895244576933] + - name: Volt + type: continuous + train_range: [1.000028741452081, 1.99996031861811] + ood_range: [0.9500112615656195, 2.049976349620352] + - name: kb + type: continuous + train_range: [1.0000167438562657, 1.999989608687528] + ood_range: [0.9500061731311504, 2.049995605485396] + - name: T + type: continuous + train_range: [1.00003768219604, 1.9999954432553129] + ood_range: [0.9500004082109408, 2.0499963102172685] + + target: + name: target + type: continuous + train_range: [0.3801420485207757, 150.56819015159772] + ood_range: [0.1998094253834966, 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samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: beta + type: continuous + train_range: [1.0000922483859185, 4.999866168480275] + ood_range: [0.8000292316875619, 5.199999751682608] + - name: alpha + type: continuous + train_range: [1.000016699003608, 4.999986369064285] + ood_range: [0.8000351834004066, 5.199992086506619] + - name: theta + type: continuous + train_range: [1.0000315452729245, 4.9998241550355305] + ood_range: [0.8000150620924952, 5.199977607344438] + + target: + name: target + type: continuous + train_range: [-19.68274052224764, 17.275412139494893] + ood_range: [0.9978536488511592, 23.861739078095724] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git 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+ citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_II_11_28/ood_test.csv b/srbench1.0/feynman/feynman_II_11_28/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fc006274d7f5ac549005fa6de6ceddf5e04d6889 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_11_28/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9d5847a9688116eac9d9f0e9a1ad979c537fc01d23ea13d5750f4b382c27c494 +size 591697 diff --git a/srbench1.0/feynman/feynman_II_11_28/package.tar.gz b/srbench1.0/feynman/feynman_II_11_28/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..079984456ccef184a8414da872ea64ddb6d7d6c6 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_11_28/package.tar.gz @@ -0,0 +1,3 @@ +version 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type: continuous + train_range: [1.0000018262285852, 4.99991972240619] + ood_range: [0.8000003815178858, 5.199843297199273] + - name: c + type: continuous + train_range: [1.0000205715145984, 4.999985924900948] + ood_range: [0.8000262282935524, 5.199987996994123] + - name: I + type: continuous + train_range: [1.000031172525392, 4.999952134427131] + ood_range: [0.8000135576389152, 5.199991996527436] + - name: r + type: continuous + train_range: [1.0000549291573422, 4.999945280529115] + ood_range: [0.8000095830339351, 5.199951217610138] + + target: + name: target + type: continuous + train_range: [0.000317052141942, 0.4853309675641441] + ood_range: [0.0001795488237661, 1.949330481951082] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_II_13_17/ood_test.csv 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samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: rho_c_0 + type: continuous + train_range: [1.000004494307015, 4.999947482954441] + ood_range: [0.8000257095992142, 5.199953499986148] + - name: v + type: continuous + train_range: [1.0000554424042565, 1.9999954264098] + ood_range: [0.9500187654911778, 2.049995728076182] + - name: c + type: continuous + train_range: [3.00010619060956, 9.99997342803011] + ood_range: [2.650017127924764, 10.349936745725769] + + target: + name: target + type: continuous + train_range: [1.0098496385476028, 6.432327518361128] + ood_range: [0.8037607984783157, 8.114448285912939] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - 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+dataset: + name: srbench1.0__feynman__feynman_II_13_34 + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: rho_c_0 + type: continuous + train_range: [1.0000601024247715, 4.999969059469446] + ood_range: [0.8001060860638521, 5.1999599361901865] + - name: v + type: continuous + train_range: [1.0000049556597324, 1.999997986725516] + ood_range: [0.9500021645050714, 2.049993046280256] + - name: c + type: continuous + train_range: [3.0000987807820887, 9.999889516531647] + ood_range: [2.650018356875667, 10.349954885609916] + + target: + name: target + type: continuous + train_range: [1.0231417647479228, 13.27726273403525] + ood_range: [0.766689105530753, 16.57861731108202] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_II_13_34/ood_test.csv b/srbench1.0/feynman/feynman_II_13_34/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5b55eebe68224547d27783cbc59b0e791272d921 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_13_34/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a433e85e551d8357def9d2425c2532549fb06f90a3814752dc98c4a47f9ff3ac +size 743672 diff --git a/srbench1.0/feynman/feynman_II_13_34/package.tar.gz b/srbench1.0/feynman/feynman_II_13_34/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..8a77450af4f76b8282eb4261948aa39692163bf6 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_13_34/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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a/srbench1.0/feynman/feynman_II_15_4/formula.py b/srbench1.0/feynman/feynman_II_15_4/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..39dd115483454dc0bdd33b5eefad653db04f5a6d --- /dev/null +++ b/srbench1.0/feynman/feynman_II_15_4/formula.py @@ -0,0 +1,2 @@ +def En(mom, B, theta): + return -mom * B * np.cos(theta) diff --git a/srbench1.0/feynman/feynman_II_15_4/id_test.csv b/srbench1.0/feynman/feynman_II_15_4/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..595467438a1c456d0ca77b3d23f40e6409759ff4 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_15_4/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:02c8282e7a511d607db62015348891c857d1b25b645e903ffca71519f5956c7d +size 591252 diff --git a/srbench1.0/feynman/feynman_II_15_4/metadata.yaml b/srbench1.0/feynman/feynman_II_15_4/metadata.yaml new file mode 100644 index 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samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: omega + type: continuous + train_range: [4.000055976480931, 5.999995592435957] + ood_range: [3.9000032127354296, 6.099997509873866] + - name: c + type: continuous + train_range: [1.0000105085062776, 1.9999859823461348] + ood_range: [0.950001049022233, 2.0499863984635835] + - name: d + type: continuous + train_range: [2.0000180015897056, 3.9999992175299712] + ood_range: [1.9000157062658007, 4.099968951297175] + + target: + name: target + type: continuous + train_range: [1.3260759931435004, 5.906796792935014] + ood_range: [0.9587850920746532, 6.371417270330046] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - 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srbench1.0__feynman__feynman_II_27_16 + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [1.000025877871216, 4.999963543467167] + ood_range: [0.8000142595205906, 5.199974587437789] + - name: c + type: continuous + train_range: [1.0000374755759442, 4.999920248509034] + ood_range: [0.8000375796587809, 5.199936761891614] + - name: Ef + type: continuous + train_range: [1.0000198535344071, 4.999988774128697] + ood_range: [0.8001014771381871, 5.199967618870056] + + target: + name: target + type: continuous + train_range: [1.1757446304150965, 608.7510981520334] + ood_range: [0.4319671786453866, 725.9046721967975] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_II_27_16/ood_test.csv b/srbench1.0/feynman/feynman_II_27_16/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b2023db612b59b7263808ce2a98432855c86c8a8 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_27_16/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:db0745dc7f0d7f274a833751aa65c37ca71b13a50f2f460766cdf89f37f6759b +size 738819 diff --git a/srbench1.0/feynman/feynman_II_27_16/package.tar.gz b/srbench1.0/feynman/feynman_II_27_16/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..2e97fbf0d639a9b9d1f3662f8c5620a658dd8c8f --- /dev/null +++ b/srbench1.0/feynman/feynman_II_27_16/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_II_27_18/ood_test.csv b/srbench1.0/feynman/feynman_II_27_18/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..535d36e44d6e9f1bf25ca0a4c323165e3dd2d2e7 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_27_18/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7c0c791d5feb1f21a80619b5c3967b1dbe8549581e02cf3a12ef3b7fa81ff67 +size 554948 diff --git a/srbench1.0/feynman/feynman_II_27_18/package.tar.gz b/srbench1.0/feynman/feynman_II_27_18/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..4515b739d7fb7a4a7a8325c00a297991f5fcd873 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_27_18/package.tar.gz @@ -0,0 +1,3 @@ +version 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+ ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: q + type: continuous + train_range: [1.0000275465287047, 4.999924053303602] + ood_range: [0.800052179749732, 5.199974465875368] + - name: h + type: continuous + train_range: [1.000037849196188, 4.9999946521334895] + ood_range: [0.8000213594183865, 5.199979880330158] + - name: m + type: continuous + train_range: [1.0001172980595836, 4.999944258546751] + ood_range: [0.8001054880088898, 5.199992919372426] + + target: + name: target + type: continuous + train_range: [0.0175907047322799, 1.8888743939915804] + ood_range: [0.0099114984982091, 2.660831846795402] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + 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type: continuous + train_range: [1.000021000678201, 2.999945800920365] + ood_range: [0.9000007792734138, 3.09999774873952] + - name: kb + type: continuous + train_range: [1.000001249784659, 2.9999596176580896] + ood_range: [0.9000178437524299, 3.099992729821991] + - name: T + type: continuous + train_range: [1.000020627699342, 2.9999471479318167] + ood_range: [0.9000278279455127, 3.09999541842039] + - name: mom + type: continuous + train_range: [1.000023960344997, 2.999985450015794] + ood_range: [0.9000055053276602, 3.099986670032413] + - name: B + type: continuous + train_range: [1.0000070920318351, 2.9999735776466467] + ood_range: [0.9000686408104125, 3.0999912770450164] + + target: + name: target + type: continuous + train_range: [0.0005200764881539, 1.4733290204651466] + ood_range: [9.35550507416357e-06, 1.5432845133915962] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_II_35_18/ood_test.csv b/srbench1.0/feynman/feynman_II_35_18/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fcceb0faaf35dbf72291d9f690ef66b797f09864 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_35_18/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19549bdf33ba419e61c63fae92598aa37d03520faa317d5cb0b216b1d4f2325e +size 1129882 diff --git a/srbench1.0/feynman/feynman_II_35_18/package.tar.gz b/srbench1.0/feynman/feynman_II_35_18/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..b671541b36d3ac9ea913fb23b7c1f875930cd816 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_35_18/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e3aedbffda44646a6e3bb333aae3f5a68a950cea6ea7a389869610d46703d96 +size 4687198 diff --git 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continuous + train_range: [1.0000205418403278, 2.999986489897172] + ood_range: [0.9000161651944134, 3.09998969291156] + - name: p_d + type: continuous + train_range: [1.0000068204629018, 2.999974616174346] + ood_range: [0.9000122881404496, 3.099975936616856] + - name: theta + type: continuous + train_range: [1.0000058751718528, 2.999966132630949] + ood_range: [0.9000266422605688, 3.099985316255074] + - name: r + type: continuous + train_range: [1.0000317274447976, 2.9999416789943503] + ood_range: [0.900011577745009, 3.099940580584106] + + target: + name: target + type: continuous + train_range: [-0.2072488762902009, 0.0974811649452207] + ood_range: [-0.3282805954732475, 0.2055666138843854] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_II_6_11/ood_test.csv 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b/srbench1.0/feynman/feynman_II_6_15a/formula.py @@ -0,0 +1,2 @@ +def Ef(epsilon, p_d, r, x, y, z): + return p_d / (4 * np.pi * epsilon) * 3 * z / r**5 * np.sqrt(x**2 + y**2) diff --git a/srbench1.0/feynman/feynman_II_6_15a/id_test.csv b/srbench1.0/feynman/feynman_II_6_15a/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd3075ec06c20e4b13bed1dcb4bcdc1a0c4abb83 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_6_15a/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cfca563c7ab1107f3ec865c188b79bbd7a68d321e035e5a653fd0af1b6da0b05 +size 1043561 diff --git a/srbench1.0/feynman/feynman_II_6_15a/metadata.yaml b/srbench1.0/feynman/feynman_II_6_15a/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4ca43d05aa542ab330cd1acb47843410272e4706 --- /dev/null +++ b/srbench1.0/feynman/feynman_II_6_15a/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: srbench1.0__feynman__feynman_II_6_15a + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: epsilon + type: continuous + train_range: [1.0000813468955358, 2.999974176856912] + ood_range: [0.9000050477907446, 3.099996084670873] + - name: p_d + type: continuous + train_range: [1.0000243596699148, 2.999978831242489] + ood_range: [0.9000110560513614, 3.099996291792333] + - name: r + type: continuous + train_range: [1.000017026651992, 2.9999538856317587] + ood_range: [0.9000499412033245, 3.099997791650692] + - name: x + type: continuous + train_range: [1.000000204653461, 2.999981308849777] + ood_range: [0.9000143622495332, 3.099970585689262] + - name: y + type: continuous + train_range: [1.0000115748738614, 2.9999406918557443] + ood_range: [0.900008931243525, 3.099994611675576] + - 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ground_truth_formula: + file: formula.py + features: + - name: q1 + type: continuous + train_range: [1.0001684894479743, 4.99983751818526] + ood_range: [0.8000016046666993, 5.199803638351257] + - name: q2 + type: continuous + train_range: [1.000009232172749, 4.999976160277156] + ood_range: [0.8000655602293008, 5.199928851071552] + - name: epsilon + type: continuous + train_range: [1.0000350444229782, 4.999941008556107] + ood_range: [0.8000223261129071, 5.199990933860059] + - name: r + type: continuous + train_range: [1.0000141568334735, 4.99987708479317] + ood_range: [0.8000142250657866, 5.199976723419495] + + target: + name: target + type: continuous + train_range: [0.0008391075692404, 1.4265337144214154] + ood_range: [0.0003828827931751, 4.015396790592246] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ 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b/srbench1.0/feynman/feynman_I_12_4/formula.py @@ -0,0 +1,2 @@ +def Ef(q1, epsilon, r): + return q1 * r / (4 * np.pi * epsilon * r**3) diff --git a/srbench1.0/feynman/feynman_I_12_4/id_test.csv b/srbench1.0/feynman/feynman_I_12_4/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..0e9b6bce9582e1d25bbd1ed0662292ed6b04619f --- /dev/null +++ b/srbench1.0/feynman/feynman_I_12_4/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebd3f4877081990cc08f939ac5847d5277d6e1906928491aab16174cb2b8ff3d +size 741256 diff --git a/srbench1.0/feynman/feynman_I_12_4/metadata.yaml b/srbench1.0/feynman/feynman_I_12_4/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..105c17d5aded159a924e9544dabb70497085fe93 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_12_4/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srbench1.0__feynman__feynman_I_12_4 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: q1 + type: continuous + train_range: [1.0000165314874332, 4.999960149657699] + ood_range: [0.8000239911040602, 5.199997521693069] + - name: epsilon + type: continuous + train_range: [1.000008611612646, 4.999977521776842] + ood_range: [0.8000287166831759, 5.199991412779668] + - name: r + type: continuous + train_range: [1.000115023986505, 4.999985305371438] + ood_range: [0.8000118806272133, 5.1999080411385465] + + target: + name: target + type: continuous + train_range: [0.0006938478412072, 0.3535406193762349] + ood_range: [0.0004604593686784, 0.7964356840989343] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - 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description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: q2 + type: continuous + train_range: [1.0000708577756945, 4.999999675165462] + ood_range: [0.800010250697531, 5.199996034080392] + - name: Ef + type: continuous + train_range: [1.0000326152654315, 4.999983676892902] + ood_range: [0.8000558102559296, 5.199998679898463] + + target: + name: target + type: continuous + train_range: [1.012251198637564, 24.856952426664183] + ood_range: [0.644102389288661, 27.016750356502307] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git 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b/srbench1.0/feynman/feynman_I_13_12/formula.py @@ -0,0 +1,2 @@ +def U(m1, m2, r1, r2, G): + return G * m1 * m2 * (1 / r2 - 1 / r1) diff --git a/srbench1.0/feynman/feynman_I_13_12/id_test.csv b/srbench1.0/feynman/feynman_I_13_12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..adc0655017468c68d4622810b2aeba9ed8a60c4c --- /dev/null +++ b/srbench1.0/feynman/feynman_I_13_12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75cf563256ff5af3126d3e892648ff710863951960b8e89ac2c29d510f68b0d4 +size 888498 diff --git a/srbench1.0/feynman/feynman_I_13_12/metadata.yaml b/srbench1.0/feynman/feynman_I_13_12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fe110189563c04605307bcc4ee8be051406c42d5 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_13_12/metadata.yaml @@ -0,0 +1,57 @@ +dataset: + name: srbench1.0__feynman__feynman_I_13_12 + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: m1 + type: continuous + train_range: [1.0000322653834592, 4.999899011015098] + ood_range: [0.8000311962516915, 5.199915375433835] + - name: m2 + type: continuous + train_range: [1.0000386263330978, 4.999931803333384] + ood_range: [0.8000135270738628, 5.199996547788536] + - name: r1 + type: continuous + train_range: [1.0000250598429332, 4.999953925799217] + ood_range: [0.800031784458621, 5.199959754095208] + - name: r2 + type: continuous + train_range: [1.0000460894909449, 4.999895072565415] + ood_range: [0.8000087362018586, 5.19997754984883] + - name: G + type: continuous + train_range: [1.000015880213298, 4.999989560636557] + ood_range: [0.8000317684222537, 5.199993417041383] + + target: + name: target + type: continuous + train_range: 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name: x + type: continuous + train_range: [5.000077487365958, 9.999711276185112] + ood_range: [4.750000482859075, 10.24992480529414] + - name: u + type: continuous + train_range: [1.0000063353264863, 1.999990505117982] + ood_range: [0.9500201757589328, 2.0499972110944893] + - name: c + type: continuous + train_range: [3.000051214081461, 19.999975438724608] + ood_range: [2.150112142653537, 20.8497851160704] + - name: t + type: continuous + train_range: [1.0000028637643965, 1.9999992868855248] + ood_range: [0.9500015420043928, 2.049991174422202] + + target: + name: target + type: continuous + train_range: [1.1592293390680564, 10.264354496067533] + ood_range: [0.5863971232354313, 26.007981938179725] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_15_3x/ood_test.csv 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b/srbench1.0/feynman/feynman_I_16_6/formula.py @@ -0,0 +1,2 @@ +def v1(c, v, u): + return (u + v) / (1 + u * v / c**2) diff --git a/srbench1.0/feynman/feynman_I_16_6/id_test.csv b/srbench1.0/feynman/feynman_I_16_6/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..06fd349a2a34b33720867ee512d92321aeaf49ea --- /dev/null +++ b/srbench1.0/feynman/feynman_I_16_6/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:deeb763ce3440ad602fe9eee1a406f84aa0f0274683c5d0f8fea50a93ef667ad +size 736734 diff --git a/srbench1.0/feynman/feynman_I_16_6/metadata.yaml b/srbench1.0/feynman/feynman_I_16_6/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c33675f2af4096687ee3b6ae3c14e29abe424aca --- /dev/null +++ b/srbench1.0/feynman/feynman_I_16_6/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srbench1.0__feynman__feynman_I_16_6 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: c + type: continuous + train_range: [1.0000970536455216, 4.999930596066079] + ood_range: [0.8000402890689876, 5.199933820333199] + - name: v + type: continuous + train_range: [1.0000332163403396, 4.9999034537323945] + ood_range: [0.8000576826739668, 5.199974191279912] + - name: u + type: continuous + train_range: [1.0000388127015936, 4.999923413592756] + ood_range: [0.8000219150715364, 5.199941851550535] + + target: + name: target + type: continuous + train_range: [0.4095218612746976, 4.998009952174953] + ood_range: [0.2426601615760028, 5.199495242337935] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - 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srbench1.0__feynman__feynman_I_18_12 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: r + type: continuous + train_range: [1.000002908756449, 4.999907457818672] + ood_range: [0.800010338875768, 5.199966335735711] + - name: F + type: continuous + train_range: [1.0000156667359237, 4.999861929174238] + ood_range: [0.8000135099434774, 5.199936865343654] + - name: theta + type: continuous + train_range: [0.0001259159254701, 4.9999606360054045] + ood_range: [-0.2498576872729891, 5.249929800040405] + + target: + name: target + type: continuous + train_range: [-24.53387136861373, 24.76951473221221] + ood_range: [-25.678920508593365, 2.48753950533176e-05] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_18_12/ood_test.csv b/srbench1.0/feynman/feynman_I_18_12/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fae9c23b24f0ecaab4022ecda9d86d43269cf17d --- /dev/null +++ b/srbench1.0/feynman/feynman_I_18_12/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:29e9b5e739da1df53245dd353d9bd9d11a73606f0370ae78ab02f575588f08d7 +size 761520 diff --git a/srbench1.0/feynman/feynman_I_18_12/package.tar.gz b/srbench1.0/feynman/feynman_I_18_12/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e040748285cf1ddeabab650569529167aa14c113 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_18_12/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: q + type: continuous + train_range: [1.000058643802083, 4.999926618218449] + ood_range: [0.8000852586433842, 5.199983128967623] + - name: C + type: continuous + train_range: [1.0000592653789075, 4.999811155512584] + ood_range: [0.8000077938453799, 5.199917840899967] + + target: + name: target + type: continuous + train_range: [0.2008003241338361, 4.962589815218454] + ood_range: [0.1540269046968289, 6.477392015862892] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git 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ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: q + type: continuous + train_range: [1.0000178085914595, 4.999989855252377] + ood_range: [0.8000332478088904, 5.199882339525395] + - name: a + type: continuous + train_range: [1.0000219404144493, 4.999944596896554] + ood_range: [0.800096994815849, 5.199990540162294] + - name: epsilon + type: continuous + train_range: [1.00002818037118, 4.999961691389694] + ood_range: [0.8000161937305538, 5.199996142534663] + - name: c + type: continuous + train_range: [1.0000342504776452, 4.999992780060127] + ood_range: [0.8000304105936458, 5.199933489430074] + + target: + name: target + type: continuous + train_range: [0.0001307115557656, 22.89603807519761] + ood_range: [3.2908053275457475e-05, 85.12182522045448] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - 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b/srbench1.0/feynman/feynman_I_34_14/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srbench1.0__feynman__feynman_I_34_14 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: c + type: continuous + train_range: [3.0000073267023613, 9.999989492606602] + ood_range: [2.6500699551716447, 10.349950246593275] + - name: v + type: continuous + train_range: [1.0000227321398458, 1.9999716321791752] + ood_range: [0.9500087055999747, 2.0499664521991225] + - name: omega_0 + type: continuous + train_range: [1.000033405411788, 4.999989756465411] + ood_range: [0.8000101949883014, 5.19992134782527] + + target: + name: target + type: continuous + train_range: [1.1262963110957849, 10.549693232786725] + ood_range: [0.8782563451217317, 14.38846216965398] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_34_14/ood_test.csv b/srbench1.0/feynman/feynman_I_34_14/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9fb302c72588aaba1464675625150058a82e6b20 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_34_14/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:436052957994ebddc9c51e891745c499140d7ea5aa877defb95c58c334962703 +size 742490 diff --git a/srbench1.0/feynman/feynman_I_34_14/package.tar.gz b/srbench1.0/feynman/feynman_I_34_14/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..cbd15d564b95d8acfa4c4c725cadb67dd787aa95 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_34_14/package.tar.gz @@ -0,0 +1,3 @@ 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arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_34_27/ood_test.csv b/srbench1.0/feynman/feynman_I_34_27/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..59fb7e6ebef5ed41f0a7f96b6487455125d6822b --- /dev/null +++ b/srbench1.0/feynman/feynman_I_34_27/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b11b3115135c7cf3d6933ccdc782e7027cfc77cc410a158cc57d943e48179749 +size 557854 diff --git a/srbench1.0/feynman/feynman_I_34_27/package.tar.gz b/srbench1.0/feynman/feynman_I_34_27/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..af27a39932cfb306f195850eaa85733acd0f4cc6 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_34_27/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/srbench1.0/feynman/feynman_I_40_1/formula.py @@ -0,0 +1,2 @@ +def n(n_0, m, x, T, g, kb): + return n_0 * np.exp(-m * g * x / (kb * T)) diff --git a/srbench1.0/feynman/feynman_I_40_1/id_test.csv b/srbench1.0/feynman/feynman_I_40_1/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a865a7292a30521b194e5c0e8d1309d81b71e1f7 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_40_1/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3424ad2b044b3f78ffc6b569aeedb5ebb309b6bd12c33432c6f5d640c3918450 +size 1296234 diff --git a/srbench1.0/feynman/feynman_I_40_1/metadata.yaml b/srbench1.0/feynman/feynman_I_40_1/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..30459d3bd3b7ced49872dd715c30749b3fef2ea7 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_40_1/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: srbench1.0__feynman__feynman_I_40_1 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: n_0 + type: continuous + train_range: [1.0000323738655292, 4.999975138081318] + ood_range: [0.8000929716878001, 5.19992500036449] + - name: m + type: continuous + train_range: [1.000049973582688, 4.9999707285801325] + ood_range: [0.8000137229034694, 5.199980089100036] + - name: x + type: continuous + train_range: [1.000011145217803, 4.999988300339215] + ood_range: [0.8000060115283048, 5.199976260801965] + - name: T + type: continuous + train_range: [1.000191386847574, 4.999965984848154] + ood_range: [0.8000016224287951, 5.199942421270988] + - name: g + type: continuous + train_range: [1.00010285412356, 4.999915494256251] + ood_range: [0.8000324598000782, 5.1999362827398246] + - name: kb + type: continuous + train_range: 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5.199994874509894] + - name: T + type: continuous + train_range: [1.0000967588291152, 4.99989326971453] + ood_range: [0.8001858316185655, 5.199995842625249] + - name: h + type: continuous + train_range: [1.0000068165518257, 4.999946056792469] + ood_range: [0.8000569649428125, 5.199977693053184] + - name: kb + type: continuous + train_range: [1.0000317231189828, 4.999989107177608] + ood_range: [0.8000194240164702, 5.199981701098547] + - name: c + type: continuous + train_range: [1.0001295519272326, 4.999983842306689] + ood_range: [0.8001118716165727, 5.199977266317227] + + target: + name: target + type: continuous + train_range: [0.0051669053353686, 52.06445371175894] + ood_range: [0.0007014027179355, 109.6295334143856] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git 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b/srbench1.0/feynman/feynman_I_43_16/formula.py @@ -0,0 +1,2 @@ +def v(mu_drift, q, Volt, d): + return mu_drift * q * Volt / d diff --git a/srbench1.0/feynman/feynman_I_43_16/id_test.csv b/srbench1.0/feynman/feynman_I_43_16/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..274b57729eee89a52a928ce0810e46007640f328 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_43_16/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5d8b7629e4a584c79a3b34c778ddf420f60ded17ded2445106c37a473c34ba6a +size 919915 diff --git a/srbench1.0/feynman/feynman_I_43_16/metadata.yaml b/srbench1.0/feynman/feynman_I_43_16/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fb9ae5e58278dd79686b565a71f1bbc5f3efcfeb --- /dev/null +++ b/srbench1.0/feynman/feynman_I_43_16/metadata.yaml @@ -0,0 +1,53 @@ +dataset: + name: srbench1.0__feynman__feynman_I_43_16 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: mu_drift + type: continuous + train_range: [1.0000170475741093, 4.9999613500547415] + ood_range: [0.8000371689351327, 5.199986271749104] + - name: q + type: continuous + train_range: [1.000039809694027, 4.999917201521432] + ood_range: [0.8000573051086928, 5.1999998500401965] + - name: Volt + type: continuous + train_range: [1.0000249875299998, 4.999966115642925] + ood_range: [0.8000873191401063, 5.199995702974421] + - name: d + type: continuous + train_range: [1.0000087286535848, 4.999960011630988] + ood_range: [0.8001053296213984, 5.199954262005725] + + target: + name: target + type: continuous + train_range: [0.2523976813753971, 111.75932994177133] + ood_range: [0.1021074822503029, 171.88457977606694] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_43_16/ood_test.csv b/srbench1.0/feynman/feynman_I_43_16/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d8536d0cecfaf34783686192bd7c62c2a61b7a9 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_43_16/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd1e6a3fbee766570ff17467fc0c15854dd5c65d04bdf46a2b46a71c8aac25b0 +size 923118 diff --git a/srbench1.0/feynman/feynman_I_43_16/package.tar.gz b/srbench1.0/feynman/feynman_I_43_16/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..bdfe0be078c0b745aa75acbd369807495511865e --- /dev/null +++ b/srbench1.0/feynman/feynman_I_43_16/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: gamma + type: continuous + train_range: [1.0000550981543992, 4.999985687638767] + ood_range: [0.800046006947787, 5.199922251262275] + - name: pr + type: continuous + train_range: [1.0001632815889576, 4.99990675466826] + ood_range: [0.8000019190804935, 5.199957630630323] + - name: rho + type: continuous + train_range: [1.0000212310177137, 4.9999780990386125] + ood_range: [0.8001004508507551, 5.199975389046018] + + target: + name: target + type: continuous + train_range: [0.4607010924715098, 4.844452355814344] + ood_range: [0.3527639337423175, 5.773765592391463] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - 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srbench1.0__feynman__feynman_I_48_2 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: m + type: continuous + train_range: [1.0000464148266135, 4.999889561063137] + ood_range: [0.8001017001397986, 5.199984290817944] + - name: v + type: continuous + train_range: [1.0000227804313908, 1.99998377922732] + ood_range: [0.950018782556233, 2.0499960499509324] + - name: c + type: continuous + train_range: [3.000103513749921, 9.999868162106823] + ood_range: [2.6501662573086837, 10.349972701508763] + + target: + name: target + type: continuous + train_range: [9.839282314186354, 505.3619284550069] + ood_range: [6.119740520408068, 566.5795998778639] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_48_2/ood_test.csv b/srbench1.0/feynman/feynman_I_48_2/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9db1444077ddc7e4e4af22c0a6cad838f73977a7 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_48_2/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98d5c1b7eee19b4c26964cd14926dbaf4a9dea3bbdb4da17eec410946b1f104a +size 738770 diff --git a/srbench1.0/feynman/feynman_I_48_2/package.tar.gz b/srbench1.0/feynman/feynman_I_48_2/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..6e092d6ed8c7e0484f112ea80bdba69fc85382bb --- /dev/null +++ b/srbench1.0/feynman/feynman_I_48_2/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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3.099986464308943] + + target: + name: target + type: continuous + train_range: [-0.7280876077901008, 11.721448092219257] + ood_range: [-0.4992781513698952, 6.572265369987024] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_50_26/ood_test.csv b/srbench1.0/feynman/feynman_I_50_26/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..3a266a895e420265bf67dc58f033aeae8d299cc8 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_50_26/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:226140425fffdd66e44012ef089bd99080d019f16dfc845450e2533374aa4500 +size 941041 diff --git a/srbench1.0/feynman/feynman_I_50_26/package.tar.gz b/srbench1.0/feynman/feynman_I_50_26/package.tar.gz new file mode 100644 index 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Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_6_2a/ood_test.csv b/srbench1.0/feynman/feynman_I_6_2a/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..679fa0195de753ec329af74ced7173bae9a17f98 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_6_2a/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86992b73f808d7586588c63d0a1acbd276339569a1024f323ec30f70db60e97d +size 391098 diff --git a/srbench1.0/feynman/feynman_I_6_2a/package.tar.gz b/srbench1.0/feynman/feynman_I_6_2a/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..c90e5138dd1b507171a7fec9f9f140d980c73d8c --- /dev/null +++ b/srbench1.0/feynman/feynman_I_6_2a/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:81598e9558c7f6621f6ef20c9ae94a4d2cc6e79abd29a12808db2796fb862638 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b/srbench1.0/feynman/feynman_I_6_2b/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srbench1.0__feynman__feynman_I_6_2b + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: sigma + type: continuous + train_range: [1.0000234778998909, 2.999978605176662] + ood_range: [0.900039100314031, 3.0999984264636318] + - name: theta + type: continuous + train_range: [1.0000229553608722, 2.999982209401113] + ood_range: [0.9000214051445737, 3.0999966348622388] + - name: theta1 + type: continuous + train_range: [1.000000300372338, 2.9999994066717703] + ood_range: [0.9000717378645129, 3.099990400930854] + + target: + name: target + type: continuous + train_range: [0.0661780783604731, 0.3989292980870324] + ood_range: [0.0232682513724023, 0.4432227887439669] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_I_6_2b/ood_test.csv b/srbench1.0/feynman/feynman_I_6_2b/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..954cd0fe8367cd1a1a80b1be50ee513fb15ba464 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_6_2b/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b3115f4ea7ee94ee182f3e6497116049bef1dfb734d7805833f9c744f155cdc9 +size 758930 diff --git a/srbench1.0/feynman/feynman_I_6_2b/package.tar.gz b/srbench1.0/feynman/feynman_I_6_2b/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fcaf01922fa1c25926de3532f832c123a7fb85c3 --- /dev/null +++ b/srbench1.0/feynman/feynman_I_6_2b/package.tar.gz @@ -0,0 +1,3 @@ +version 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[0.0045679561686619, 2364.9110139391046] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_1/ood_test.csv b/srbench1.0/feynman/feynman_test_1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a34abd424cb069abc0869ee078c5671dc3752f6b --- /dev/null +++ b/srbench1.0/feynman/feynman_test_1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:862cc77d92383b35cc0043b5aa894a2ffa7ce428edfe58cd3b35d1651e807a0d +size 1496772 diff --git a/srbench1.0/feynman/feynman_test_1/package.tar.gz b/srbench1.0/feynman/feynman_test_1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9705c957983cf2b27663142f7187493371278a1a --- /dev/null +++ b/srbench1.0/feynman/feynman_test_1/package.tar.gz @@ 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0000000000000000000000000000000000000000..02ae111c8bd8dd9bec00f37bcbf7cd12c99a8bb7 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_11/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:486ec51f4d4358695fa1dd893c95f3f763960b29bb87a753cf414f0c42c7da4a +size 745369 diff --git a/srbench1.0/feynman/feynman_test_12/formula.py b/srbench1.0/feynman/feynman_test_12/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..0b24da02f3f9ac2104d7a9f1c0cadda1659ad967 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_12/formula.py @@ -0,0 +1,2 @@ +def F(q, y, Volt, d, epsilon): + return q / (4 * np.pi * epsilon * y**2) * (4 * np.pi * epsilon * Volt * d - (q * d * y**3) / (y**2 - d**2)**2) diff --git a/srbench1.0/feynman/feynman_test_12/id_test.csv b/srbench1.0/feynman/feynman_test_12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..43923d24a1f5eab13af25d1d862367d7b6b2d86d --- /dev/null +++ b/srbench1.0/feynman/feynman_test_12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b954d65cc2b452ada4cab890638b161357d36a2ce6c88ba433074564da3297ad +size 1101913 diff --git a/srbench1.0/feynman/feynman_test_12/metadata.yaml b/srbench1.0/feynman/feynman_test_12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..65ad96dba4e882780bf5a9eff62e0d72fff8077a --- /dev/null +++ b/srbench1.0/feynman/feynman_test_12/metadata.yaml @@ -0,0 +1,57 @@ +dataset: + name: srbench1.0__feynman__feynman_test_12 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: q + type: continuous + train_range: [1.0000755051442272, 4.999978023594178] + ood_range: [0.800000536861305, 5.199909031254793] + - name: y + type: continuous + train_range: [1.0000323473416557, 2.9999905609393616] + ood_range: [0.9000056638979772, 3.099990882768336] + - name: Volt + type: continuous + train_range: [1.0000099447284183, 4.9999955448379065] + ood_range: [0.8001091762543858, 5.199983657631931] + - name: d + type: continuous + train_range: [4.000017039280476, 5.9999811618226655] + ood_range: [3.900034110110275, 6.099997340216725] + - name: epsilon + type: continuous + train_range: [1.0000400877923925, 4.999940678264696] + ood_range: [0.8000150027449452, 5.199994027408074] + + target: + name: target + type: continuous + train_range: [0.5565915734951892, 132.42074999497402] + ood_range: [0.2515626964969368, 198.96221330036877] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_12/ood_test.csv b/srbench1.0/feynman/feynman_test_12/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..643e189ce9c0782a4890c50b615a48115b70e780 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_12/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d5ec44d496eb60f735561d54f87e8a8b37bb9aa8532bce6743a1a8a4600abd4 +size 1109321 diff --git a/srbench1.0/feynman/feynman_test_12/package.tar.gz b/srbench1.0/feynman/feynman_test_12/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..8caa1af0dd408d7ae222cc48b78103096db312d1 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_12/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c4e9c0f6cdde8e82e5ba7c0300eb963cfc6a0747b9857746160076caa08c0624 +size 5749822 diff --git a/srbench1.0/feynman/feynman_test_12/train.csv b/srbench1.0/feynman/feynman_test_12/train.csv new file mode 100644 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b/srbench1.0/feynman/feynman_test_13/formula.py @@ -0,0 +1,2 @@ +def Volt(q, r, d, alpha, epsilon): + return 1 / (4 * np.pi * epsilon) * q / np.sqrt(r**2 + d**2 - 2 * r * d * np.cos(alpha)) diff --git a/srbench1.0/feynman/feynman_test_13/id_test.csv b/srbench1.0/feynman/feynman_test_13/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8fe126a091e2cad1fd4ae084e625ef7c1c8eb824 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_13/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1275943ae967667308db28dd26e70c6960844b97ea4010ab5b74cc997b3cdb6a +size 886188 diff --git a/srbench1.0/feynman/feynman_test_13/metadata.yaml b/srbench1.0/feynman/feynman_test_13/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..61abadc11e06bad9223db002b7f387f86827910b --- /dev/null +++ b/srbench1.0/feynman/feynman_test_13/metadata.yaml @@ -0,0 +1,57 @@ +dataset: + name: srbench1.0__feynman__feynman_test_13 + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: q + type: continuous + train_range: [1.0000233619839642, 4.999945777627948] + ood_range: [0.8001123295736519, 5.19993735074065] + - name: r + type: continuous + train_range: [1.000009406853325, 2.999998756300692] + ood_range: [0.9000040615760629, 3.0999963955458267] + - name: d + type: continuous + train_range: [4.000006723212032, 5.999995240604976] + ood_range: [3.900004576080277, 6.099990349969163] + - name: alpha + type: continuous + train_range: [7.988407579762047e-05, 5.999993789549593] + ood_range: [-0.2998869862142768, 6.299994472470347] + - name: epsilon + type: continuous + train_range: [1.0000418758880958, 4.999994476928774] + ood_range: [0.8001055363613634, 5.199971931046917] + + target: + name: target + type: continuous + train_range: [0.0019853863112857, 0.2332119136775716] + ood_range: [0.0023870937589524, 0.5933072661264729] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_13/ood_test.csv b/srbench1.0/feynman/feynman_test_13/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..38718832173d48e4e9d48b21fec7254bbb25abe6 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_13/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:02cebfcc11868b607eccd93768d6b4fe8c4fd50ad5cf88fc7c99a8a1774b24aa +size 1137085 diff --git a/srbench1.0/feynman/feynman_test_13/package.tar.gz b/srbench1.0/feynman/feynman_test_13/package.tar.gz new file mode 100644 index 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b/srbench1.0/feynman/feynman_test_13/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ffe1d6fd35503cb8c11a99ebf3b2071856c999ee29da432cd02b235fac97bf9b +size 886272 diff --git a/srbench1.0/feynman/feynman_test_14/formula.py b/srbench1.0/feynman/feynman_test_14/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..c56660b70e65a3dfa6eca89eb13d2f12ecb8face --- /dev/null +++ b/srbench1.0/feynman/feynman_test_14/formula.py @@ -0,0 +1,2 @@ +def Volt(Ef, theta, r, d, alpha): + return Ef * np.cos(theta) * (-r + d**3 / r**2 * (alpha - 1) / (alpha + 2)) diff --git a/srbench1.0/feynman/feynman_test_14/id_test.csv b/srbench1.0/feynman/feynman_test_14/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c458a000406882e9d610406e61f28a93b8379118 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_14/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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omega / (1 + v / c * np.cos(theta)) diff --git a/srbench1.0/feynman/feynman_test_15/id_test.csv b/srbench1.0/feynman/feynman_test_15/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1d65acbaaee015fad00d6fd9db44e6a28f9d1aa8 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_15/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62450f8fb513fedb3615c10708890d52e1da3e1302050d98c45afeb14b287142 +size 922933 diff --git a/srbench1.0/feynman/feynman_test_15/metadata.yaml b/srbench1.0/feynman/feynman_test_15/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7f61ebbd78a668bc19784446566417816c0b55a4 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_15/metadata.yaml @@ -0,0 +1,53 @@ +dataset: + name: srbench1.0__feynman__feynman_test_15 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: c + type: continuous + train_range: [5.000046070970252, 19.999542919435825] + ood_range: [4.250087861184262, 20.74979006744841] + - name: v + type: continuous + train_range: [1.0001000630338022, 2.9999991440502614] + ood_range: [0.9000192951460795, 3.099988090534316] + - name: omega + type: continuous + train_range: [1.0001644312912663, 4.999995818343021] + ood_range: [0.8000037779106159, 5.199925259865024] + - name: theta + type: continuous + train_range: [0.0002652592386915, 5.999991540519973] + ood_range: [-0.2998628169832271, 6.29996677657832] + + target: + name: target + type: continuous + train_range: [0.6060438525253087, 9.359921807366714] + ood_range: [0.3296004698202786, 4.978069501813607] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_15/ood_test.csv b/srbench1.0/feynman/feynman_test_15/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4c69c5ac11589f511a8f069eb4d77b8388cbc35b --- /dev/null +++ b/srbench1.0/feynman/feynman_test_15/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8fbfd42aefbeb193d276952ccf8505963082249bb106db250ba8277099bb3625 +size 934695 diff --git a/srbench1.0/feynman/feynman_test_15/package.tar.gz b/srbench1.0/feynman/feynman_test_15/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..57f05bafd405f524f4b327d7b8a3a2b93053d650 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_15/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d3345a0e48a15f2ef6617e780c0b3f4db1eff878092838b26ce0dd25b017ac03 +size 4792015 diff 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0000000000000000000000000000000000000000..d0cf91be1c5b7d652b8ab69566eb00f9fa2600b6 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_16/formula.py @@ -0,0 +1,2 @@ +def E_n(m, c, p, q, A_vec, Volt): + return np.sqrt((p - q * A_vec)**2 * c**2 + m**2 * c**4) + q * Volt diff --git a/srbench1.0/feynman/feynman_test_16/id_test.csv b/srbench1.0/feynman/feynman_test_16/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9dd3d864c0aa42e43678b8cf87d3b95f24a3a371 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_16/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11382efbcbf026f1e938b3776d9f0da9167dd28bdd915abd6ed074da3345d088 +size 1286861 diff --git a/srbench1.0/feynman/feynman_test_16/metadata.yaml b/srbench1.0/feynman/feynman_test_16/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..221f871c4ef8dd1ef5e70030a0023c335b549761 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_16/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: srbench1.0__feynman__feynman_test_16 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: m + type: continuous + train_range: [1.0000956877492708, 4.999990016914849] + ood_range: [0.8000448053340907, 5.199953418746675] + - name: c + type: continuous + train_range: [1.0000090894360307, 4.9999715358450345] + ood_range: [0.800000701715007, 5.199994043747445] + - name: p + type: continuous + train_range: [1.0000472467838954, 4.999819502496097] + ood_range: [0.800018714546395, 5.199989832569753] + - name: q + type: continuous + train_range: [1.0000143572830258, 4.999995243409618] + ood_range: [0.8000594779008785, 5.199996945859569] + - name: A_vec + type: continuous + train_range: 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a/srbench1.0/feynman/feynman_test_16/valid.csv b/srbench1.0/feynman/feynman_test_16/valid.csv new file mode 100644 index 0000000000000000000000000000000000000000..dccfa239584a54f803d0b2c4d8b22f139112d243 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_16/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:681254fac9e7aff34f0b05cc351f4bcf977a766233211f05f103352684a29fc7 +size 1286895 diff --git a/srbench1.0/feynman/feynman_test_17/formula.py b/srbench1.0/feynman/feynman_test_17/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..9e81533a655c5d22c29d91966e7e9a94baba6ef4 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_17/formula.py @@ -0,0 +1,2 @@ +def E_n(m, omega, p, y, x, alpha): + return 1/(2*m)*(p**2 + m**2 * omega**2 * x**2 * (1 + alpha * x / y)) diff --git a/srbench1.0/feynman/feynman_test_17/id_test.csv b/srbench1.0/feynman/feynman_test_17/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..175c46a9022cfadbe7ab645d74df965386cd3485 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_17/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b17816d4f624b79521cdfd1e2b5b5751ed64050bac8a9945f1c795bf013e13ec +size 1030184 diff --git a/srbench1.0/feynman/feynman_test_17/metadata.yaml b/srbench1.0/feynman/feynman_test_17/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b9e9e9e93246510433deabc2931cfa5d98205f22 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_17/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: srbench1.0__feynman__feynman_test_17 + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: m + type: continuous + train_range: [1.0002116172629618, 4.9999829744624975] + ood_range: [0.8000188878338771, 5.199979919863909] + - name: omega + type: continuous + train_range: [1.00004483856906, 4.999955846444289] + ood_range: [0.8002518264706778, 5.199976499175726] + - name: p + type: continuous + train_range: [1.0000799148910398, 4.999965602355619] + ood_range: [0.8001091549994618, 5.199865221019488] + - name: y + type: continuous + train_range: [1.0000830177889375, 4.999988582466306] + ood_range: [0.8000755210544924, 5.199990847323437] + - name: x + type: continuous + train_range: [1.0001045048394173, 4.999912237118732] + ood_range: [0.8000627871132933, 5.199980144409296] + - name: alpha + type: continuous + train_range: [1.0000991302471411, 4.999938517391667] + ood_range: [0.8000407073075843, 5.199993029358447] + + target: + name: target + type: continuous + train_range: [1.5205350493166083, 28766.806368836144] + ood_range: [0.6153560220063047, 61364.88551501738] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_17/ood_test.csv b/srbench1.0/feynman/feynman_test_17/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..80161181f94f3b213d89950f25ba6f81444c6726 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_17/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8db5eefd86b7d0ca84b417602967ef3fc8444430e206062288e05b84cf8fa318 +size 1290941 diff --git a/srbench1.0/feynman/feynman_test_17/package.tar.gz b/srbench1.0/feynman/feynman_test_17/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..07cbba7d20700e4924a88033f6ee60486e05c0bf --- /dev/null +++ b/srbench1.0/feynman/feynman_test_17/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 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0000000000000000000000000000000000000000..826b9bde04f0d25fe83fa89d27addabdbce22981 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_19/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f7fcb1db3f6050afd8ad7a175deddfb1bcabeb3207a3f42e63f8240539dbe4ce +size 1290444 diff --git a/srbench1.0/feynman/feynman_test_19/metadata.yaml b/srbench1.0/feynman/feynman_test_19/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..df3f8579c4ea2892df96afd3ec3e1a0c1ff8450e --- /dev/null +++ b/srbench1.0/feynman/feynman_test_19/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: srbench1.0__feynman__feynman_test_19 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: G + type: continuous + train_range: [1.000063155111393, 4.999879825587246] + ood_range: [0.80000625656691, 5.199987922941314] + - name: k_f + type: continuous + train_range: [1.0002227300197144, 4.999954025892472] + ood_range: [0.8000074947472651, 5.199942864920624] + - name: r + type: continuous + train_range: [1.0000011091242826, 4.999912173719349] + ood_range: [0.8000502146121162, 5.199932337007993] + - name: H_G + type: continuous + train_range: [1.0000118944611385, 4.999989732171106] + ood_range: [0.8000966619727236, 5.199964745959518] + - name: alpha + type: continuous + train_range: [1.0000558780397864, 4.99985851843971] + ood_range: [0.8000319088658431, 5.199873206660508] + - name: c + type: continuous + train_range: [1.0000034156832278, 4.999926069415723] + ood_range: [0.8000715168870621, 5.199993582698278] + + target: + name: target + type: continuous + train_range: [-72.62374264795035, 177.0552920876469] + ood_range: [-272.08380168489333, 322.1999652664902] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_19/ood_test.csv b/srbench1.0/feynman/feynman_test_19/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd55f35379d1ea3c98344878594c871320f76b23 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_19/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b57465a512b535228835ebe0df250bb42d43fdf0e779edd981ff7405dda70971 +size 1300968 diff --git a/srbench1.0/feynman/feynman_test_19/package.tar.gz b/srbench1.0/feynman/feynman_test_19/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..1c14ca07dea47e3aea5c008f9ef2c477655ddd90 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_19/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 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a/srbench1.0/feynman/feynman_test_2/formula.py b/srbench1.0/feynman/feynman_test_2/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..02d7bb70769235ca1410b22075bfe31adfe9293e --- /dev/null +++ b/srbench1.0/feynman/feynman_test_2/formula.py @@ -0,0 +1,2 @@ +def k(m, k_G, L, E_n, theta1, theta2): + return m * k_G / L**2 * (1 + np.sqrt(1 + 2 * E_n * L**2 / (m * k_G**2)) * np.cos(theta1 - theta2)) diff --git a/srbench1.0/feynman/feynman_test_2/id_test.csv b/srbench1.0/feynman/feynman_test_2/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5455bf56bf5d2c80e387f9e493964613e90169c2 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_2/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72c4bb1b4da7a77dadc91a9794e7682a6e24ec3d3fd738a988f9ce18337f1387 +size 1302506 diff --git a/srbench1.0/feynman/feynman_test_2/metadata.yaml b/srbench1.0/feynman/feynman_test_2/metadata.yaml new file mode 100644 index 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train_range: [1.000045840762117, 2.999948495447808] + ood_range: [0.9000066824263815, 3.099986290284181] + - name: theta1 + type: continuous + train_range: [4.111517330995795e-05, 5.999992753473438] + ood_range: [-0.2997065082158656, 6.299965441484078] + - name: theta2 + type: continuous + train_range: [5.779389442484019e-05, 5.999894507559171] + ood_range: [-0.2998150879161405, 6.299956452291006] + + target: + name: target + type: continuous + train_range: [-2.028561898662918, 17.21834264513832] + ood_range: [0.5034823530125163, 24.28818378268004] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_2/ood_test.csv b/srbench1.0/feynman/feynman_test_2/ood_test.csv new file mode 100644 index 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1/(4*np.pi)*alpha**2*h**2/(m**2*c**2)*(omega_0/omega)**2*(omega_0/omega+omega/omega_0-np.sin(beta)**2) diff --git a/srbench1.0/feynman/feynman_test_20/id_test.csv b/srbench1.0/feynman/feynman_test_20/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ecd82b468f0ca02939ff9bcb373f604dba31f574 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_20/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:41049ccfa7c225bc8e638c2ae9bd30bf894013eee7d4e1a8424e73106129ae96 +size 1181263 diff --git a/srbench1.0/feynman/feynman_test_20/metadata.yaml b/srbench1.0/feynman/feynman_test_20/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3b94384c775f5cf44aa4a78e69e03a9985f36743 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_20/metadata.yaml @@ -0,0 +1,65 @@ +dataset: + name: srbench1.0__feynman__feynman_test_20 + description: + splits: + train: + file: train.csv + samples: 64000 + ratio: 8 + valid: + file: valid.csv + samples: 8000 + ratio: 1 + id_test: + file: id_test.csv + samples: 8000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1.25 + ground_truth_formula: + file: formula.py + features: + - name: omega + type: continuous + train_range: [1.000037982225224, 4.99997254076276] + ood_range: [0.8000258930091451, 5.199893885999908] + - name: omega_0 + type: continuous + train_range: [1.0001440008416815, 4.999932174884892] + ood_range: [0.8000544549646026, 5.199931741397104] + - name: alpha + type: continuous + train_range: [1.000030244450079, 4.999924495402933] + ood_range: [0.8000475477415745, 5.199936255283866] + - name: h + type: continuous + train_range: [1.0001128116105922, 4.999993952656143] + ood_range: [0.8000805415625469, 5.199956991162176] + - name: m + type: continuous + train_range: [1.0000013091847135, 4.999808197113515] + ood_range: [0.8002471660959835, 5.199985855930111] + - name: c + type: continuous + train_range: [1.0000417240899508, 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b/srbench1.0/feynman/feynman_test_4/formula.py @@ -0,0 +1,2 @@ +def v(m, E_n, U, L, r): + return np.sqrt(2 / m * (E_n - U - L**2 / (2 * m * r**2))) diff --git a/srbench1.0/feynman/feynman_test_4/id_test.csv b/srbench1.0/feynman/feynman_test_4/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b020910e0c461e1b11992c23902bf6043c44f9ec --- /dev/null +++ b/srbench1.0/feynman/feynman_test_4/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:82c8bac4bffad144ad1890f8c21cd8c6fcf00248086c9223c55e02ec492c294b +size 1111169 diff --git a/srbench1.0/feynman/feynman_test_4/metadata.yaml b/srbench1.0/feynman/feynman_test_4/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0c0de96b92436117bc3131bc33994455ba933b67 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_4/metadata.yaml @@ -0,0 +1,57 @@ +dataset: + name: srbench1.0__feynman__feynman_test_4 + description: + splits: + train: + file: train.csv + samples: 80000 + ratio: 8 + valid: + file: valid.csv + samples: 10000 + ratio: 1 + id_test: + file: id_test.csv + samples: 10000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: m + type: continuous + train_range: [1.0000049473874972, 2.9999763608059973] + ood_range: [0.9001354257792739, 3.099978980669987] + - name: E_n + type: continuous + train_range: [8.000000993107108, 11.999992460640025] + ood_range: [7.800010556036194, 12.199989782592638] + - name: U + type: continuous + train_range: [1.0000216903696455, 2.9999649414367298] + ood_range: [0.9000125498429232, 3.099995177565011] + - name: L + type: continuous + train_range: [1.0000005841273365, 2.9999941268771564] + ood_range: [0.9000138954660194, 3.099969680505658] + - name: r + type: continuous + train_range: [1.0000190553609698, 2.9999966466337904] + ood_range: [0.9000309525619239, 3.0999629021914603] + + target: + name: target + type: continuous + train_range: [1.706380904063971, 4.560085470469622] + ood_range: [0.1741010375150651, 4.975342497873513] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_4/ood_test.csv b/srbench1.0/feynman/feynman_test_4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..58f28d1391f3e7984f1de6666513b49fd3a97b52 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63c17031f69e32df44549d3db8f1101477f717e540de27bcb20a06135b2c9f95 +size 1116515 diff --git a/srbench1.0/feynman/feynman_test_4/package.tar.gz b/srbench1.0/feynman/feynman_test_4/package.tar.gz new file mode 100644 index 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continuous + train_range: [1.0000163722933737, 2.999956316403124] + ood_range: [0.9000131459703508, 3.0999674978874885] + - name: L + type: continuous + train_range: [1.0000451957088292, 2.9999712348559666] + ood_range: [0.9000255557974562, 3.09995589114058] + - name: m + type: continuous + train_range: [1.0000200390673823, 2.99998282704772] + ood_range: [0.900002958653476, 3.0999711465639974] + - name: Z_1 + type: continuous + train_range: [1.000023942081243, 2.99998402715868] + ood_range: [0.9000007664840421, 3.0999881441156005] + - name: Z_2 + type: continuous + train_range: [1.000016988186481, 2.9999884987824825] + ood_range: [0.9000618217247656, 3.0999850425283166] + - name: q + type: continuous + train_range: [1.0000372898571237, 2.9998987699153625] + ood_range: [0.9000040733481203, 3.099997926347508] + - name: E_n + type: continuous + train_range: [1.000015758143225, 2.999990871221819] + ood_range: [0.9000611496308435, 3.0999881120819235] + + target: + name: target + type: continuous + train_range: [1.0002019757801772, 8.741012329016234] + ood_range: [1.000025597430607, 33.78034137122675] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/feynman/feynman_test_6/ood_test.csv b/srbench1.0/feynman/feynman_test_6/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b09c09cc7fbd963100b89550c1d7c78b0bab761f --- /dev/null +++ b/srbench1.0/feynman/feynman_test_6/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4b727075b42cbc5b3beebb1637c28543c2e84c9387ad72c07c911024b02c33a +size 1494914 diff --git a/srbench1.0/feynman/feynman_test_6/package.tar.gz b/srbench1.0/feynman/feynman_test_6/package.tar.gz new file mode 100644 index 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1 + ood_test: + file: ood_test.csv + samples: 10000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: E_n + type: continuous + train_range: [1.0000102591241573, 2.9999978714836493] + ood_range: [0.9000251770711847, 3.0999682567334323] + - name: m + type: continuous + train_range: [1.0000436584648629, 2.9999116127357763] + ood_range: [0.900032208523873, 3.099949358845252] + - name: c + type: continuous + train_range: [1.0000535595851208, 2.999997492051276] + ood_range: [0.9000013996473373, 3.0999916654212263] + - name: theta + type: continuous + train_range: [1.000035870143235, 2.999984004879635] + ood_range: [0.9000112568003177, 3.0999695260913667] + + target: + name: target + type: continuous + train_range: [0.4082660103355291, 2.8175301225331224] + ood_range: [0.2625994431287505, 2.9745979056672947] + + license: GPL-3.0 + citation: + arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - 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0000000000000000000000000000000000000000..cc13bb7888f15d440c10b83e62e5e5d17775746e --- /dev/null +++ b/srbench1.0/feynman/feynman_test_9/formula.py @@ -0,0 +1,2 @@ +def Pwr(G, c, m1, m2, r): + return -(32 / 5) * (G**4 / c**5) * ((m1 * m2)**2 * (m1 + m2)) / r**5 diff --git a/srbench1.0/feynman/feynman_test_9/id_test.csv b/srbench1.0/feynman/feynman_test_9/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ed0a08f92a6453c035adc9c0068dd1db9baedbf0 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_9/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b771c57dd60855bfb05bb2f0369d729078ac5d37063d3b6c306aa0fa4e63cba4 +size 898259 diff --git a/srbench1.0/feynman/feynman_test_9/metadata.yaml b/srbench1.0/feynman/feynman_test_9/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..983b4a62eb9128555189cd5144ea39b31cc9f0e8 --- /dev/null +++ b/srbench1.0/feynman/feynman_test_9/metadata.yaml @@ -0,0 +1,57 @@ 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Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/strogatz/strogatz_shearflow2/ood_test.csv b/srbench1.0/strogatz/strogatz_shearflow2/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..9267de6b6b17353ce4d5c67afa402c6298f1a7ab --- /dev/null +++ b/srbench1.0/strogatz/strogatz_shearflow2/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11bb60ea4d3c171f4b64ee6cf98bb5b8a60a1411dfc8fdafd9cca2d97d00ce1a +size 57421 diff --git a/srbench1.0/strogatz/strogatz_shearflow2/package.tar.gz b/srbench1.0/strogatz/strogatz_shearflow2/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..25aba56f86d7ed10fd972703aaac8e2a632c885e --- /dev/null +++ b/srbench1.0/strogatz/strogatz_shearflow2/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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arXiv: 2107.14351 + title: Contemporary Symbolic Regression Methods and their Relative Performance + resources: + - https://github.com/cavalab/srbench + - https://cavalab.org/srbench/datasets/ diff --git a/srbench1.0/strogatz/strogatz_vdp1/ood_test.csv b/srbench1.0/strogatz/strogatz_vdp1/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..834b310353215255b4672623d0ecd1e006836f8b --- /dev/null +++ b/srbench1.0/strogatz/strogatz_vdp1/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4db780d094bf426f49c753346e40a2e1ae63ef0d44ab2bbe04cc74ed20693e7a +size 58376 diff --git a/srbench1.0/strogatz/strogatz_vdp1/package.tar.gz b/srbench1.0/strogatz/strogatz_vdp1/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ea3b2a404b5a9e683d2c5ae27a34509b49e3e2ac --- /dev/null +++ b/srbench1.0/strogatz/strogatz_vdp1/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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name: srsd__srsd-feynman_easy__feynman-i.27.6 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [0.0010000709417715815, 0.09999954850972124] + ood_range: [0.0008304860617029, 0.1258904533499414] + - name: x1 + type: continuous + train_range: [0.10004307337205076, 9.994466626723154] + ood_range: [0.084918107350417, 12.5850848037462] + - name: x2 + type: continuous + train_range: [0.0010004003060416155, 0.09998592532214719] + ood_range: [0.0008574404134728, 0.1258840413318248] + + target: + name: y + type: continuous + train_range: [0.00010554743845815232, 0.08447728526629] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_easy diff --git a/srsd/srsd-feynman_easy/feynman-i.27.6/ood_test.csv b/srsd/srsd-feynman_easy/feynman-i.27.6/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..4203f539cf2321b503ef5c775690c7d350ad6eed --- /dev/null +++ b/srsd/srsd-feynman_easy/feynman-i.27.6/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f56fcf01ec0cd12edaeb60ceda63e2e57c9d05feeb67489df7b7d9bfa03f3629 +size 79370 diff --git a/srsd/srsd-feynman_easy/feynman-i.27.6/package.tar.gz b/srsd/srsd-feynman_easy/feynman-i.27.6/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..53c4745081834b0449a1b5e8bbd030992764fa9a --- /dev/null +++ b/srsd/srsd-feynman_easy/feynman-i.27.6/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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x2): + return x0 * x1 diff --git a/srsd/srsd-feynman_easy_dummy/feynman-i.12.1/id_test.csv b/srsd/srsd-feynman_easy_dummy/feynman-i.12.1/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..573ad2c5a5fc2b6a6d540e79e8539d15ce871ab5 --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-i.12.1/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:afe855c6fa5c7ec7ee060464425bdda7e5cbb7317a88ffdfda7c5f9bf4f78c73 +size 101012 diff --git a/srsd/srsd-feynman_easy_dummy/feynman-i.12.1/metadata.yaml b/srsd/srsd-feynman_easy_dummy/feynman-i.12.1/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..831f3b97ba01c1213e92a0d3d6901c47217641ae --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-i.12.1/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srsd__srsd-feynman_easy_dummy__feynman-i.12.1 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [0.010010240599513052, 0.9993064403533936] + ood_range: [0.0081737906695485, 1.2575810989512015] + - name: x1 + type: continuous + train_range: [0.010003315284848211, 0.9966147541999818] + ood_range: [0.0081647255533308, 1.2548658913634672] + - name: x2 + type: continuous + train_range: [1.0002862301108093e-22, 9.993395162451872e-21] + ood_range: [7.969123340102689e-23, 1.2575269874290131e-20] + + target: + name: y + type: continuous + train_range: [0.00010585247218841685, 0.9436835050582884] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - 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b/srsd/srsd-feynman_easy_dummy/feynman-i.18.12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..d681aaba6da32f9432e54ff8caaa3084c5bd09c7 --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-i.18.12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e596b55ff2034d9ca8a9f97b049608b8556929bf0241de7dec09d50ca8a2556c +size 126964 diff --git a/srsd/srsd-feynman_easy_dummy/feynman-i.18.12/metadata.yaml b/srsd/srsd-feynman_easy_dummy/feynman-i.18.12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2a8058a3e6ead654857b97222386a551e0d3c3d1 --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-i.18.12/metadata.yaml @@ -0,0 +1,53 @@ +dataset: + name: srsd__srsd-feynman_easy_dummy__feynman-i.18.12 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [0.10006876289844512, 9.99034786224365] + ood_range: [0.0802395516496161, 12.588161417202832] + - name: x1 + type: continuous + train_range: [0.10002563148736952, 9.99809455871582] + ood_range: [0.0800949334210292, 12.588369941389484] + - name: x2 + type: continuous + train_range: [-9.993720595957711e-06, 9.985892575059552e-06] + ood_range: [-3.154599487163201e-05, 3.1593266491850255e-05] + - name: x3 + type: continuous + train_range: [0.0006322957342490554, 6.282915592193604] + ood_range: [-0.3132472444940037, 6.593937815773878] + + target: + name: y + type: continuous + train_range: [-80.03457641601561, 81.73313140869139] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - 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2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_easy_dummy diff --git a/srsd/srsd-feynman_easy_dummy/feynman-i.25.13/ood_test.csv b/srsd/srsd-feynman_easy_dummy/feynman-i.25.13/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f2bf197cf0f70d919f5de33d929cc5ac04484eda --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-i.25.13/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a505f7c79700829c14a0a5948fec1ca262581286abfda0bf2f2549f48cedcaf +size 86098 diff --git a/srsd/srsd-feynman_easy_dummy/feynman-i.25.13/package.tar.gz b/srsd/srsd-feynman_easy_dummy/feynman-i.25.13/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ac97e1999a65810e769ebef9ddb460735f6a957f --- /dev/null +++ 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srsd__srsd-feynman_easy_dummy__feynman-i.27.6 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0004255859988159e+24, 9.997525623058941e+25] + ood_range: [8.027412888340838e+23, 1.2587827926507229e+26] + - name: x1 + type: continuous + train_range: [0.0010000709417715815, 0.09999954850972124] + ood_range: [0.000806467638335, 0.1258921163717768] + - name: x2 + type: continuous + train_range: [-9.990866566638937e-24, 9.999826448800437e-24] + ood_range: [-1.9832937152272577e-21, 1.9913561182102533e-21] + - name: x3 + type: continuous + train_range: [0.10004307337205076, 9.994466626723154] + ood_range: [0.0794786569699852, 12.584659218030428] + - name: x4 + type: continuous + train_range: 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formula.py + features: + - name: x0 + type: continuous + train_range: [-9.994113518124828e-24, 9.997456710641155e-24] + ood_range: [-1.990322013573721e-21, 1.994426394757471e-21] + - name: x1 + type: continuous + train_range: [1.0001347064971924, 99.93244934082033] + ood_range: [0.8034923727425598, 125.6523934630302] + - name: x2 + type: continuous + train_range: [1.0000560476349916e+22, 9.99897764122488e+23] + ood_range: [8.08896054215397e+21, 1.2585349726481802e+24] + - name: x3 + type: continuous + train_range: [-0.09999701380729677, 0.09980516880750656] + ood_range: [-0.1258618282608035, 0.1255043054332242] + - name: x4 + type: continuous + train_range: [8.204887853935362e-05, 6.282675266265869] + ood_range: [-0.3135308365507939, 6.590679482364974] + - name: x5 + type: continuous + train_range: [100073551691776.0, 9995415394975744.0] + ood_range: [79626444339727.86, 1.2586331537901772e+16] + + target: + name: y + type: continuous + train_range: [-8.783078711117593e-25, 7.89126899257491e-25] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_easy_dummy diff --git a/srsd/srsd-feynman_easy_dummy/feynman-ii.15.4/ood_test.csv b/srsd/srsd-feynman_easy_dummy/feynman-ii.15.4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a760241a7de022f20d18aa5a430231382949166b --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-ii.15.4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5123ee471944edb6dba8118bd42d014b11623ec79b096cd89ef322be23dba504 +size 150045 diff --git a/srsd/srsd-feynman_easy_dummy/feynman-ii.15.4/package.tar.gz b/srsd/srsd-feynman_easy_dummy/feynman-ii.15.4/package.tar.gz new file mode 100644 index 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Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_easy_dummy diff --git a/srsd/srsd-feynman_easy_dummy/feynman-ii.2.42/ood_test.csv b/srsd/srsd-feynman_easy_dummy/feynman-ii.2.42/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7aae63879961e390e546a3a330aebb596aca2818 --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-ii.2.42/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea3d853c5b11b90238597e7fbaafd6f7dbcbaab106a82faf99f9b66df66c3396 +size 175417 diff --git a/srsd/srsd-feynman_easy_dummy/feynman-ii.2.42/package.tar.gz b/srsd/srsd-feynman_easy_dummy/feynman-ii.2.42/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a26628878150d9cb54fbc885ab00526eb88780ec --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-ii.2.42/package.tar.gz @@ -0,0 +1,3 @@ +version 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ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9999234.0, 9994198.0] + ood_range: [-49777625.239435904, 50013454.53924444] + - name: x1 + type: continuous + train_range: [1.0000152743903232e+16, 9.99684355750101e+17] + ood_range: [8017376125802963.0, 1.2588256472712497e+18] + - name: x2 + type: continuous + train_range: [-0.9994834065437315, 0.9999603629112244] + ood_range: [-1.0988351638628984, 1.0999256511066042] + - name: x3 + type: continuous + train_range: [-9.991652758190318e-18, 9.997458738909827e-18] + ood_range: [-4.988694731379995e-16, 5.009286290567487e-16] + - name: x4 + type: continuous + train_range: [-0.09987908601760864, 0.09998559206724167] + ood_range: [-0.125694115709789, 0.125833956548031] + - name: x5 + type: continuous + train_range: [-9.978035270698977e-23, 9.989278116320184e-23] + 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Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_easy_dummy diff --git a/srsd/srsd-feynman_easy_dummy/feynman-ii.38.14/ood_test.csv b/srsd/srsd-feynman_easy_dummy/feynman-ii.38.14/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b1ab41fb5dc8248960312c6b4f682456fccf7b73 --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-ii.38.14/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1af932aaa3e29d9a774b7fdddbc242e20618a7e43c29a0a8592da25575b8c8b1 +size 120839 diff --git a/srsd/srsd-feynman_easy_dummy/feynman-ii.38.14/package.tar.gz b/srsd/srsd-feynman_easy_dummy/feynman-ii.38.14/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..aea060a759e748875b6e61ca32a585cd7ef4921b --- /dev/null +++ b/srsd/srsd-feynman_easy_dummy/feynman-ii.38.14/package.tar.gz @@ -0,0 +1,3 @@ +version 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id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [100053838462976.0, 9991436107776000.0] + ood_range: [86687603447564.81, 1.257594486111069e+16] + - name: x1 + type: continuous + train_range: [10.000262260437012, 999.0233764648435] + ood_range: [8.333964840982368, 1257.3437269481565] + - name: x2 + type: continuous + train_range: [1.0000637082266644e-22, 9.99287979015616e-21] + ood_range: [8.875455555673182e-23, 1.2575934036712111e-20] + + target: + name: y + type: continuous + train_range: [4.427231914405638e-10, 4.418357093527448e-06] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - 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x4): + numerator = x0 * (-(x0 * x2**3 * x4) / (x2**2 - x4**2)**2 + 4 * np.pi * x1 * x3 * x4) + denominator = 4 * np.pi * x1 * x2**2 + return numerator / denominator diff --git a/srsd/srsd-feynman_hard/feynman-bonus.12/id_test.csv b/srsd/srsd-feynman_hard/feynman-bonus.12/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c60d733e6eff8ee477c24ddeceee4ad03f8648a2 --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-bonus.12/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4e6fffeac868393488e423c9ab31c2de3844354f9f93a988308195c2521f2462 +size 153005 diff --git a/srsd/srsd-feynman_hard/feynman-bonus.12/metadata.yaml b/srsd/srsd-feynman_hard/feynman-bonus.12/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fea086b1551815d7299c3e98758d4450c01efb1b --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-bonus.12/metadata.yaml @@ -0,0 +1,57 @@ +dataset: + name: srsd__srsd-feynman_hard__feynman-bonus.12 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-0.09987574116478237, 0.09989423014668858] + ood_range: [-0.1257366410317599, 0.1254105111919327] + - name: x1 + type: continuous + train_range: [1.0001295368395696e-12, 9.993129970383844e-11] + ood_range: [8.111413413241962e-13, 1.257141154998699e-10] + - name: x2 + type: continuous + train_range: [0.01000539507298532, 0.9990038787901367] + ood_range: [0.0080416557922654, 1.2571229586715222] + - name: x3 + type: continuous + train_range: [-9.996886628895945, 9.993448614488003] + ood_range: [-12.58916720713626, 12.584395378777543] + - name: x4 + type: continuous + train_range: [0.010009085944926327, 0.9996483089133934] + ood_range: 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--- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-bonus.15/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srsd__srsd-feynman_hard__feynman-bonus.15 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [100009.68010216027, 9982259.972502353] + ood_range: [79754.74619381035, 12557918.16098824] + - name: x1 + type: continuous + train_range: [1000363347.0339632, 99934722512.17209] + ood_range: [795650898.3984396, 125746750444.0805] + - name: x2 + type: continuous + train_range: [0.0004599897974812701, 6.282535717848432] + ood_range: [-0.3128138964573995, 6.59387308882186] + + target: + name: y + type: continuous + train_range: [989180047.2860088, 102521228002.34389] + ood_range: + + license: 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id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-998.9712631580602, 996.3008254342056] + ood_range: [-1992.3979825678448, 1981.6066641994948] + - name: x1 + type: continuous + train_range: [100012737.97253653, 9999807353.238617] + ood_range: [83416364.91201201, 12588494599.565811] + - name: x2 + type: continuous + train_range: [1.0006878169614344, 99.91289679259725] + ood_range: [0.8147064442910393, 125.7280626069196] + - name: x3 + type: continuous + train_range: [-9.994852786155294, 9.994869422643038] + ood_range: [-10.987863361437766, 10.987064958690908] + + target: + name: y + type: continuous + train_range: [-1.0078582885621094e+31, 9.498894326671514e+30] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + 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+ valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1000231058.7252804, 99940712032.28494] + ood_range: [822290958.1108251, 125755949595.93752] + - name: x1 + type: continuous + train_range: [1000855119.6610872, 99967094079.51465] + ood_range: [816868699.3508738, 125884432910.15454] + - name: x2 + type: continuous + train_range: [0.0017195558662491096, 6.281599192593633] + ood_range: [-0.3108148972171005, 6.593847321607058] + + target: + name: y + type: continuous + train_range: [2.556280955057849e-31, 2.0402075100714562e-23] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - 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splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [100004240.03903374, 9998453769.169016] + ood_range: [82946430.12484948, 12588159310.678885] + - name: x1 + type: continuous + train_range: [1.000134265285688e+23, 9.997466117418733e+24] + ood_range: [8.067082566903874e+22, 1.2588183097868934e+25] + - name: x2 + type: continuous + train_range: [1.0001189820148206e+23, 9.999614890000096e+24] + ood_range: [7.964943573289708e+22, 1.2587918401604818e+25] + + target: + name: y + type: continuous + train_range: [195240.30031380244, 1446804922.129156] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + 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1.2573293237538444e-08] + - name: x3 + type: continuous + train_range: [1.0002728846817757e-30, 9.994902046202884e-29] + ood_range: [8.301753900279642e-31, 1.2573870095390566e-28] + - name: x4 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + - name: x5 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + ood_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] + - name: x6 + type: continuous + train_range: [-9.99917779000545e-10, 9.995343283617068e-10] + ood_range: [-7.934375621708016e-09, 7.939637716306098e-09] + + target: + name: y + type: continuous + train_range: [761.1308890057486, 759952019678.2579] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - 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2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard diff --git a/srsd/srsd-feynman_hard/feynman-bonus.7/ood_test.csv b/srsd/srsd-feynman_hard/feynman-bonus.7/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..a8a6c16cacc237e04507426d9a2fe9a4e9b54ccb --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-bonus.7/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d4f93065997000161115e5e0bf779bc25015532c03ee9ffce8f0847c2e939e6 +size 72539 diff --git a/srsd/srsd-feynman_hard/feynman-bonus.7/package.tar.gz b/srsd/srsd-feynman_hard/feynman-bonus.7/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..928a1884eb50e48e1f0c3084f8b90128555a2724 --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-bonus.7/package.tar.gz @@ 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@@ +dataset: + name: srsd__srsd-feynman_hard__feynman-i.37.4 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [0.0010006182547969869, 0.09992956538386644] + ood_range: [0.0008586633633217, 0.1257209562170813] + - name: x1 + type: continuous + train_range: [0.001000197604767292, 0.09999433747382391] + ood_range: [0.0008066609468083, 0.1258712072624696] + - name: x2 + type: continuous + train_range: [0.00011557137824798526, 6.283050866310097] + ood_range: [-0.3125078844732336, 6.593845965467388] + + target: + name: y + type: continuous + train_range: [2.67506675510204e-06, 0.3680963068193818] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard diff --git a/srsd/srsd-feynman_hard/feynman-i.37.4/ood_test.csv b/srsd/srsd-feynman_hard/feynman-i.37.4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e978a17edf5476c6f2e1a13fe5f07673cc4d79de --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-i.37.4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6b1d2f58fa28725ade588048eee9abbc8c60eaf28b771c1ec5c3df64621131a +size 78528 diff --git a/srsd/srsd-feynman_hard/feynman-i.37.4/package.tar.gz b/srsd/srsd-feynman_hard/feynman-i.37.4/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..da043567cf4eca25a78fa20085f29420c54886cc --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-i.37.4/package.tar.gz @@ -0,0 +1,3 @@ +version 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id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0005353799902997e+24, 9.996141563876735e+25] + ood_range: [8.228652610289292e+23, 1.2588294835207529e+26] + - name: x1 + type: continuous + train_range: [10.00488595444288, 999.6975758228608] + ood_range: [8.171666403156657, 1258.766051210171] + - name: x2 + type: continuous + train_range: [1.0004230105364978e-05, 0.000999607069551583] + ood_range: [8.039913798081124e-06, 0.0012583081914447] + - name: x3 + type: continuous + train_range: [1.000115155538198e-05, 0.0009992902309822718] + ood_range: [8.292600565622204e-06, 0.0012571224666777] + + target: + name: y + type: continuous + train_range: [-4333410.29015266, 4342513.150584955] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific 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valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0006969849791991, 999.9510411246083] + ood_range: [0.9272444443279187, 1412.4203469873232] + - name: x1 + type: continuous + train_range: [1.0013757936422563, 999.8715990010008] + ood_range: [1000.3465073736407, 1412.0732974847042] + - name: x2 + type: continuous + train_range: [-9.997817973824036, 9.992055149858002] + ood_range: [-12.586813460714096, 12.58431767959172] + - name: x3 + type: continuous + train_range: [-9.997381945004703, 9.98505483071743] + ood_range: [-10.997993627969413, 10.989145085448252] + - name: x4 + type: continuous + train_range: [-9.988541606131012, 9.986548938447555] + ood_range: [-12.571453085312882, 12.587765023138305] + - name: x5 + type: continuous + train_range: [-9.99662059258372, 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resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard diff --git a/srsd/srsd-feynman_hard/feynman-ii.13.34/ood_test.csv b/srsd/srsd-feynman_hard/feynman-ii.13.34/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..224cf8e5e677d7937a7f1bee45fc570154150e3a --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-ii.13.34/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7c3273523e30e882ae9cf1ce980500e714afcca3268f1e26bdffbd41ec4769a8 +size 64405 diff --git a/srsd/srsd-feynman_hard/feynman-ii.13.34/package.tar.gz b/srsd/srsd-feynman_hard/feynman-ii.13.34/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e595e3e339ef657343c84251d1ef98f99a28911d --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-ii.13.34/package.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard diff --git a/srsd/srsd-feynman_hard/feynman-ii.24.17/ood_test.csv b/srsd/srsd-feynman_hard/feynman-ii.24.17/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..47dbf3b580c170b15a90f6bdb07710c9dd2a15e3 --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-ii.24.17/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:765985918b25f720956fe6a0927e454236082d1232ae914505cc2e91c4bc657a +size 57762 diff --git a/srsd/srsd-feynman_hard/feynman-ii.24.17/package.tar.gz b/srsd/srsd-feynman_hard/feynman-ii.24.17/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..f501ef17330c81e0115604ce5bd5f6ff6ddf0960 --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-ii.24.17/package.tar.gz @@ -0,0 +1,3 @@ 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and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard diff --git a/srsd/srsd-feynman_hard/feynman-ii.6.15a/ood_test.csv b/srsd/srsd-feynman_hard/feynman-ii.6.15a/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..28ad2882a344907ebd6580fddb816a37fa09ebf3 --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-ii.6.15a/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8b5431a4b24ca0fd6e2e60bb4aacdc7a74a07c338ba094fb65dec7faa26ed70 +size 136870 diff --git a/srsd/srsd-feynman_hard/feynman-ii.6.15a/package.tar.gz b/srsd/srsd-feynman_hard/feynman-ii.6.15a/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..281aafcdd29f34681685fc038ada106d24edef9c --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-ii.6.15a/package.tar.gz @@ -0,0 +1,3 @@ +version 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9.998358102456739e-24] + ood_range: [-1.988375030177681e-21, 1.989588418454746e-21] + - name: x1 + type: continuous + train_range: [-0.09974289566009743, 0.09997498836568576] + ood_range: [-0.1254681601877093, 0.1258912410377117] + - name: x2 + type: continuous + train_range: [-0.09993700726793427, 0.09999515138738568] + ood_range: [-0.1257410040651965, 0.1258939004927588] + - name: x3 + type: continuous + train_range: [-0.09993240384765008, 0.09989400570762316] + ood_range: [-0.1256381380630115, 0.1257377321863542] + + target: + name: y + type: continuous + train_range: [-1.0904726717835056e-24, 1.0632812283868718e-24] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard diff --git a/srsd/srsd-feynman_hard/feynman-iii.10.19/ood_test.csv 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BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard diff --git a/srsd/srsd-feynman_hard/feynman-iii.21.20/ood_test.csv b/srsd/srsd-feynman_hard/feynman-iii.21.20/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..e3c85c72d276c37616270537994ab8eb2baa96ac --- /dev/null +++ b/srsd/srsd-feynman_hard/feynman-iii.21.20/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d47eaff805db02c1c65c0249d351c5295d2cd4203da1de8f048af8d565e8f1f5 +size 106016 diff --git a/srsd/srsd-feynman_hard/feynman-iii.21.20/package.tar.gz b/srsd/srsd-feynman_hard/feynman-iii.21.20/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..c57b6b811f976b60923554e707dff6190b12a4fc --- /dev/null +++ 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np.sin(x5 / 2)**2) diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/id_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..22a7ec15f3ea1fa0cc0f151500c9589d1f76380b --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:db9451a902245dc8164062f3749be232a13cf3227d760b30f027b8e52786b9f3 +size 201979 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/metadata.yaml b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b3591f4910aa85ff63c0ecfc15eb89ce0779a628 --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/metadata.yaml @@ -0,0 +1,65 @@ +dataset: + name: srsd__srsd-feynman_hard_dummy__feynman-bonus.11 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [0.0010000070324167607, 0.09999465942382812] + ood_range: [0.0008058822777358, 0.1258764285669463] + - name: x1 + type: continuous + train_range: [10005.1513671875, 999530.875] + ood_range: [8121.16835173324, 1258870.5158079483] + - name: x2 + type: continuous + train_range: [1.0000627929940276e-11, 9.997979111275868e-10] + ood_range: [8.02174101218394e-12, 1.2589113391148139e-09] + - name: x3 + type: continuous + train_range: [-9.984053792923684e+23, 9.976118090092288e+23] + ood_range: [-2.5057976121931854e+26, 2.5055724544434225e+26] + - name: x4 + type: discrete + train_range: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 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license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..7b9bbf6a9b25461b267a9f11fd389d43f72841cf --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e30bbd7dd9b51ecc31e71c46537b0fd7307306cae4331ef41b170908442c0193 +size 167710 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/package.tar.gz new file mode 100644 index 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0000000000000000000000000000000000000000..94e374f1a09662c1ebf8ca5aff12bfe98069741f --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.11/valid.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc3a12732944401698115d3f7747f5cbe66c4b9db20cdfe9564d379f46d90bef +size 202022 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/formula.py b/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..56501e5893ce7d484491c1db8bf53322d8b27e85 --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/formula.py @@ -0,0 +1,4 @@ +def y(x0, x1, x2, x3, x4, x5): + numerator = x1 * (-(x1 * x3**3 * x5) / (x3**2 - x5**2)**2 + 4 * np.pi * x2 * x4 * x5) + denominator = 4 * np.pi * x2 * x3**2 + return numerator / denominator diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/id_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/id_test.csv new file mode 100644 index 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file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0007078499185695e-09, 9.998979066949688e-08] + ood_range: [8.24477125228038e-10, 1.25888298580694e-07] + - name: x1 + type: continuous + train_range: [-0.09987574070692062, 0.09989423304796217] + ood_range: [-0.1257497704676936, 0.1257403101555427] + - name: x2 + type: continuous + train_range: [1.0001295581638092e-12, 9.993129934660061e-11] + ood_range: [8.065485412522729e-13, 1.2575808742384412e-10] + - name: x3 + type: continuous + train_range: [0.010005394928157328, 0.9990038871765136] + ood_range: [0.0080056744589119, 1.2572502236139829] + - name: x4 + type: continuous + train_range: [-9.996886253356932, 9.993448257446287] + ood_range: [-12.57805814351176, 12.582237497980516] + - name: x5 + type: continuous + train_range: [0.01000908575952053, 0.9996483325958254] + ood_range: [0.0080428776101659, 1.2588742731530496] + + target: + name: y + type: continuous + train_range: [-1030798325055488.0, -37.411331176757805] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..03c7b88c5419d909a3bbf6174868f649bf6f2df3 --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7cc815fd54de679cc9276ae337cf209220ab40a3eb9941160c42c7f2e77b385d +size 142103 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-bonus.12/package.tar.gz new file mode 100644 index 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ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-99803237187584.0, 99887022604288.0] + ood_range: [-2503767820975667.0, 2507742043260901.0] + - name: x1 + type: continuous + train_range: [100009.6796875, 9982260.0] + ood_range: [83412.12583472842, 12560734.553901006] + - name: x2 + type: continuous + train_range: [1000363328.0, 99934724096.0] + ood_range: [862968955.4042634, 125758213051.89458] + - name: x3 + type: continuous + train_range: [0.0004599897947628051, 6.282535552978516] + ood_range: [-0.3131641113066644, 6.592936413887911] + - name: x4 + type: continuous + train_range: [-9.993910961262589e-18, 9.985527485754362e-18] + ood_range: [-5.00644135851726e-16, 4.999001554838096e-16] + - name: x5 + type: continuous + train_range: [-9.982665854425235e-19, 9.997746390967843e-19] + ood_range: [-6.266456304402711e-17, 6.301710454252262e-17] + + target: + name: y + type: continuous + train_range: [989180032.0, 102521225216.0] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.15/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-bonus.15/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5b3e84544cdb580d499b9786513b103fa445191e --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.15/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8618f841c7cd506355e3310310aaba18d3e9638b4ea78f976d3201dc1d36e508 +size 140827 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.15/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-bonus.15/package.tar.gz new file mode 100644 index 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file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.997159367003405e-08, 9.998965566637709e-08] + ood_range: [-4.992795348610258e-07, 5.001861651572616e-07] + - name: x1 + type: continuous + train_range: [-9.994686189784827e-10, 9.991305560674844e-10] + ood_range: [-7.935714484942217e-09, 7.928037189808778e-09] + - name: x2 + type: continuous + train_range: [-999.4595947265624, 999.7341918945312] + ood_range: [-1991.4649184231585, 1993.7861707060545] + - name: x3 + type: continuous + train_range: [1.000550604725002e-30, 9.996313079573482e-29] + ood_range: [8.060607387252997e-31, 1.2587450896588844e-28] + - name: x4 + type: continuous + train_range: [-9.997867584228516, 9.975897789001465] + ood_range: [-12.588789056391098, 12.588405224428383] + - name: x5 + type: continuous + train_range: [1.0005993600925976e+27, 9.992266803122313e+28] + ood_range: [8.16996155294059e+26, 1.2574884995844055e+29] + + target: + name: y + type: continuous + train_range: 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1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0001477003097534, 99.99640655517578] + ood_range: [0.8191891449367724, 125.8792092116694] + - name: x1 + type: continuous + train_range: [-9.986120845229031e+19, 9.99863240794382e+19] + ood_range: [-9.974638970968633e+21, 9.992178530048534e+21] + - name: x2 + type: continuous + train_range: [1000231040.0, 99940712448.0] + ood_range: [857189072.3423922, 125730040951.63435] + - name: x3 + type: continuous + train_range: [1000855104.0, 99967090688.0] + ood_range: [842636242.7879252, 125855588433.52916] + - name: x4 + type: continuous + train_range: [-9.998176604873773e-32, 9.99986226377285e-32] + ood_range: [-1.2557566022916772e-28, 1.2572547985737455e-28] + - name: x5 + type: continuous + train_range: [0.0017195558175444603, 6.281599044799805] + 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formula.py + features: + - name: x0 + type: continuous + train_range: [100080360.0, 9999268864.0] + ood_range: [86687270.31087102, 12586986933.114832] + - name: x1 + type: continuous + train_range: [0.00013989370199851692, 0.999272882938385] + ood_range: [-0.0497856078240434, 1.048801548658206] + - name: x2 + type: continuous + train_range: [-9.994444588055945e+19, 9.993589607814188e+19] + ood_range: [-9.975162511545338e+21, 9.980544743941842e+21] + - name: x3 + type: continuous + train_range: [-9.980783375983156e+19, 9.974701757267601e+19] + ood_range: [-9.975507394389936e+21, 9.966307128074113e+21] + - name: x4 + type: continuous + train_range: [0.0032426335383206606, 6.28317403793335] + ood_range: [-0.3104525882352879, 6.592935644147756] + - name: x5 + type: continuous + train_range: [9.541522740619256e-05, 6.281915664672852] + ood_range: [-0.3138285643577886, 6.591779260121668] + + target: + name: y + type: continuous + train_range: [330193.5625, 17594570752.0] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.3/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-bonus.3/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3dfde6236f22bff140dc3db5d6a1a0e9b7e3ae5 --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.3/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0d321f8db520b2466fa86b00ec8d5a78a0bb54ed3fcdf1de1834bd1f760279b +size 142265 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.3/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-bonus.3/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..eff4eae3ba5d5725fe914c86f49450b2adeba321 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Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.5/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-bonus.5/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..eef1a43ecc4707d3c5982f0f6143d6fc18cb0c8d --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-bonus.5/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5964f940844468cf334724fd4b75a53d51ba25b0881aa0eea5efabf5ae60236f +size 151298 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-bonus.5/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-bonus.5/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9033b017861a9bbae517e303fb34afe32149650e --- /dev/null +++ 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id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-99.77709960937501, 99.84794616699217] + ood_range: [-157.94425295219364, 158.0848978892903] + - name: x1 + type: continuous + train_range: [-99923112.0, 99990504.0] + ood_range: [-299450332.4353048, 299632177.0579859] + - name: x2 + type: continuous + train_range: [1.0009591733251e-06, 9.999349276768045e-05] + ood_range: [8.098171163654893e-07, 0.0001258849100129] + - name: x3 + type: continuous + train_range: [-9.998047665916227e+24, 9.997093046910412e+24] + ood_range: [-3.158833370008543e+27, 3.159937812374673e+27] + + target: + name: y + type: continuous + train_range: [-9601.939453125, 9470.3212890625] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + 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1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.963325128961982e+24, 9.998254038865551e+24] + ood_range: [-3.1482462238878504e+27, 3.1463537265165554e+27] + - name: x1 + type: continuous + train_range: [-9.963401344236336e-30, 9.98547205000918e-30] + ood_range: [-7.899246530103333e-27, 7.929111891994994e-27] + - name: x2 + type: continuous + train_range: [0.10005584359169006, 9.999700546264648] + ood_range: [0.0811999050846376, 12.58761309655294] + - name: x3 + type: continuous + train_range: [1.000044491661356e-09, 9.991452998292517e-08] + ood_range: [7.964277656563744e-10, 1.257544713794471e-07] + - name: x4 + type: continuous + train_range: [10.010553359985352, 999.0903320312499] + ood_range: [8.366530339153721, 1257.5010443493438] + + target: + name: y + type: continuous + train_range: 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9.996141194916209e+25] + ood_range: [7.962473982162041e+23, 1.2584826429213267e+26] + - name: x1 + type: continuous + train_range: [10.004885673522947, 999.6975708007811] + ood_range: [7.9686157643569135, 1258.8001315646777] + - name: x2 + type: continuous + train_range: [-9.999213005058867e+16, 9.997463235382477e+16] + ood_range: [-5.009881052454144e+18, 5.006937746280044e+18] + - name: x3 + type: continuous + train_range: [1.0004229807236696e-05, 0.0009996070293709636] + ood_range: [8.85740193047005e-06, 0.0012584261648754] + - name: x4 + type: continuous + train_range: [1.0001475683060748e-19, 9.999913810967885e-18] + ood_range: [8.408812934530656e-20, 1.2587709026085205e-17] + - name: x5 + type: continuous + train_range: [1.0001151167671196e-05, 0.0009992902632802723] + ood_range: [8.190521591494106e-06, 0.0012573653553567] + + target: + name: y + type: continuous + train_range: [-4333410.5, 4342513.0] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-i.44.4/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-i.44.4/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8aa8214a7f65eb3ebbc42796e07c055372fa9939 --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-i.44.4/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1e61bb89e0447224e3a598b0e341ba45dffe4e8c7a1b4e8cbcea9377d13d98b6 +size 149759 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-i.44.4/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-i.44.4/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..e8fea6d8946929fe1b451ccdc4145bcce1d2d9ac --- /dev/null +++ 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for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-i.50.26/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-i.50.26/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..20f3044d47c98d5259717187d3e9bc0e2292591c --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-i.50.26/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:acf7e1842fd9448e7a8a7f2ddddfd2b2cbf523b8b6a6c1668f5888daac53883e +size 165849 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-i.50.26/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-i.50.26/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fa249e21be55dff07f1e7bee77cfe137ef54ea6f --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-i.50.26/package.tar.gz @@ -0,0 +1,3 @@ +version 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id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.99605642704182e-09, 9.96619942128518e-09] + ood_range: [-6.308337283104877e-08, 6.284542485483115e-08] + - name: x1 + type: continuous + train_range: [-9.992090781452134e-05, 9.994913853006435e-05] + ood_range: [-0.0002508377806282, 0.00025054511409] + - name: x2 + type: continuous + train_range: [-9.995965003967283, 9.99990177154541] + ood_range: [-12.588803883810543, 12.587592723637874] + - name: x3 + type: continuous + train_range: [10001954373632.0, 999504119595008.0] + ood_range: [7950831787598.385, 1258276812844406.2] + + target: + name: y + type: continuous + train_range: [7.702126751836941e-23, 0.3969507813453674] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-i.6.20a/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-i.6.20a/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fe02d68a6fa66911f3b2e245eb59bd628ece73ce --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-i.6.20a/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e4e8550026fc94ccba1764a5bbd06086cf17d47d3e757d21668f234ef87b082 +size 106789 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-i.6.20a/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-i.6.20a/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..cf4c8577d95244feb0733f33e976758e20f6e3dd --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-i.6.20a/package.tar.gz @@ -0,0 +1,3 @@ +version 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license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-ii.24.17/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-ii.24.17/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..6eb74391818e2525e7a2f8fbdc8b2b8de0c5f15e --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-ii.24.17/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fa7cd7bbe2fc39b0616d0af87b450fc0292edb2bfdd186286ecc519aa0a51a5 +size 80431 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-ii.24.17/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-ii.24.17/package.tar.gz new file mode 100644 index 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--git a/srsd/srsd-feynman_hard_dummy/feynman-ii.6.15a/id_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-ii.6.15a/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fb65bcf20c6f1b54455f9304aa4644ddad1f8d1e --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-ii.6.15a/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e315988aadcd598297ca5f0fc5396117f6a50dc1c4bbb749e8fa484fd4e7e68e +size 179068 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-ii.6.15a/metadata.yaml b/srsd/srsd-feynman_hard_dummy/feynman-ii.6.15a/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4ee11b6f301fca7221d679e729b42380cb297346 --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-ii.6.15a/metadata.yaml @@ -0,0 +1,61 @@ +dataset: + name: srsd__srsd-feynman_hard_dummy__feynman-ii.6.15a + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.998098136598632e-21, 9.983880969820379e-21] + ood_range: [-9.98195821127781e-19, 9.968531400569504e-19] + - name: x1 + type: continuous + train_range: [-9.975848147984423e-28, 9.99436403846976e-28] + ood_range: [-4.996085834381976e-25, 5.006399222321652e-25] + - name: x2 + type: continuous + train_range: [-9.985966720194028e-09, 9.98737714752451e-09] + ood_range: [-6.296729045809326e-08, 6.302413065415541e-08] + - name: x3 + type: continuous + train_range: [1.0008467665745255e-10, 9.996970362635692e-09] + ood_range: [8.687566683280028e-11, 1.2586163083602397e-08] + - name: x4 + type: continuous + train_range: [-9.999001626681547e-09, 9.980976933832151e-09] + ood_range: [-6.296106363977568e-08, 6.28914377377205e-08] + - name: x5 + type: continuous + 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ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.981916415865565e-21, 9.998985901728708e-21] + ood_range: [-9.928595760900786e-19, 9.989237586700776e-19] + - name: x1 + type: continuous + train_range: [-9.972892709052897e+30, 9.970049919988073e+30] + ood_range: [-1.2511195457459533e+34, 1.2459966698191805e+34] + - name: x2 + type: continuous + train_range: [0.0006848220364190638, 3.1413283348083496] + ood_range: [-0.1561035021876833, 3.296476545312571] + - name: x3 + type: continuous + train_range: [-9989.0810546875, 9996.759765625] + ood_range: [-25035.739409767917, 25112.69254268802] + - name: x4 + type: continuous + train_range: [1.0005004463797815e-10, 9.986871774003701e-09] + ood_range: [8.081035563595214e-11, 1.2573542604705948e-08] + - name: x5 + type: continuous + train_range: [1.0000910334536045e-29, 9.999707531100463e-28] + ood_range: [8.152778373130709e-30, 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+ citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard_dummy diff --git a/srsd/srsd-feynman_hard_dummy/feynman-iii.10.19/ood_test.csv b/srsd/srsd-feynman_hard_dummy/feynman-iii.10.19/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5246960bf4b65e2b8a2d8d72afda5d169196824b --- /dev/null +++ b/srsd/srsd-feynman_hard_dummy/feynman-iii.10.19/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d69f11b22e981f2fd73d958613f2be63d2072c78d63bb5140eed234d48da1e21 +size 152722 diff --git a/srsd/srsd-feynman_hard_dummy/feynman-iii.10.19/package.tar.gz b/srsd/srsd-feynman_hard_dummy/feynman-iii.10.19/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..9e7e37ba5f38d5f1f49ada81f0991a47c25ea3e1 --- 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description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [0.010002161139653735, 0.9998967720481229] + ood_range: [0.0083981231806357, 1.2584272885027996] + - name: x1 + type: continuous + train_range: [0.010035805649715984, 0.999638784488144] + ood_range: [0.0082519638164823, 1.2588771859545145] + - name: x2 + type: continuous + train_range: [0.010005059770952918, 0.9999000227135209] + ood_range: [0.0079744448336811, 1.2584865127027451] + - name: x3 + type: continuous + train_range: [0.010006800653180244, 0.9975900075700807] + ood_range: [0.0080337366136876, 1.256236439801802] + + target: + name: y + type: continuous + train_range: [-2.8248049146738142e-09, 4.232640933097793e-09] + ood_range: + + 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splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0015675589607973e-28, 9.979782795091011e-27] + ood_range: [7.984687623641054e-29, 1.2562611676083135e-26] + - name: x1 + type: continuous + train_range: [1.0002587288189943e-11, 9.998219594710627e-10] + ood_range: [8.814165185544891e-12, 1.2589098005662123e-09] + + target: + name: y + type: continuous + train_range: [1.3474831698135288e-34, 1.0782664603982207e-28] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - 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file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0002412169111569e-29, 9.992701059858968e-28] + ood_range: [8.140453468997869e-30, 1.2575569747501432e-27] + - name: x1 + type: continuous + train_range: [1000475.635150612, 99963929.61786248] + ood_range: [795473.7244075441, 125879752.26770096] + + target: + name: y + type: continuous + train_range: [8.998412269329692e-13, 9.327656700485255e-11] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium_dummy diff --git a/srsd/srsd-feynman_medium/feynman-i.48.2/ood_test.csv 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train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.999492097715747, 9.995800147998196] + ood_range: [-12.584701417741671, 12.582214464493816] + - name: x1 + type: continuous + train_range: [-9.991565705232608, 9.985844151757794] + ood_range: [-12.589047006685178, 12.58557304170305] + - name: x2 + type: continuous + train_range: [-9.99123380197338, 9.994975227420914] + ood_range: [-12.588016851850655, 12.588534591242947] + - name: x3 + type: continuous + train_range: [-9.991101398864807, 9.991652589875729] + ood_range: [-12.588478690029817, 12.58811337605024] + + target: + name: y + type: continuous + train_range: [0.03034359210638681, 23.09611697956745] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium_dummy diff --git a/srsd/srsd-feynman_medium/feynman-i.8.14/ood_test.csv b/srsd/srsd-feynman_medium/feynman-i.8.14/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..840571b64881dd89078a9fc4a82912621e3ecd4d --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-i.8.14/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ec3f00fc7a3a4d338281184d0e5036eb40d4238f45af5936dd9d27956b0087f4 +size 95874 diff --git a/srsd/srsd-feynman_medium/feynman-i.8.14/package.tar.gz b/srsd/srsd-feynman_medium/feynman-i.8.14/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..97df742bd6d59b4a8b47d15bd47481cd4e928df4 --- /dev/null +++ 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x2): + return 28235825615.541 * x0 / (np.pi * x1 * (1 - 3.33564095198152e-9 * x2)) diff --git a/srsd/srsd-feynman_medium/feynman-ii.21.32/id_test.csv b/srsd/srsd-feynman_medium/feynman-ii.21.32/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..3b931a3fece9dade75b86b5e37f004a945aa29c3 --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-ii.21.32/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b25662990063b1834f923ee15d9d7c0332cb9a56a8c4280a8e440648666eff04 +size 102044 diff --git a/srsd/srsd-feynman_medium/feynman-ii.21.32/metadata.yaml b/srsd/srsd-feynman_medium/feynman-ii.21.32/metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6800442492e0973383aed9e9267f6ceb0af4862f --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-ii.21.32/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srsd__srsd-feynman_medium__feynman-ii.21.32 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-0.09994896343670166, 0.0995184215289361] + ood_range: [-0.1257036184220149, 0.1252343220566415] + - name: x1 + type: continuous + train_range: [1.0003168672390503, 99.83685652077278] + ood_range: [0.8119715793378647, 125.60691575041191] + - name: x2 + type: continuous + train_range: [1001733.6971904046, 99985949.3038225] + ood_range: [856691.1019031977, 125824414.39395902] + + target: + name: y + type: continuous + train_range: [-964084408.4528736, 960266001.3230863] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - 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/dev/null +++ b/srsd/srsd-feynman_medium/feynman-ii.34.2/metadata.yaml @@ -0,0 +1,49 @@ +dataset: + name: srsd__srsd-feynman_medium__feynman-ii.34.2 + description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.985425566233983e-10, 9.998954281266952e-10] + ood_range: [-7.921682059697045e-09, 7.935363390703421e-09] + - name: x1 + type: continuous + train_range: [-9984199.472381383, 9989798.59740646] + ood_range: [-49892110.82014163, 49920347.62594762] + - name: x2 + type: continuous + train_range: [1.0000015976619264e-11, 9.99313879144652e-10] + ood_range: [7.974077250779227e-12, 1.257560521955325e-09] + + target: + name: y + type: continuous + train_range: [-2.4714406786909827e-12, 2.572487934928028e-12] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium_dummy diff --git a/srsd/srsd-feynman_medium/feynman-ii.34.2/ood_test.csv b/srsd/srsd-feynman_medium/feynman-ii.34.2/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..20af3e7f636808543409f5eb58c1a2cfd3b0d951 --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-ii.34.2/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:457e2a80b9980372439f0fe5d8b1250d9108bb3cc0f002e0372b91fe28c01989 +size 87320 diff --git a/srsd/srsd-feynman_medium/feynman-ii.34.2/package.tar.gz b/srsd/srsd-feynman_medium/feynman-ii.34.2/package.tar.gz new file mode 100644 index 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9.998912211060929e-10] + ood_range: [-7.891751315687269e-09, 7.941981819857859e-09] + - name: x1 + type: continuous + train_range: [-9998450.928518249, 9993635.359059706] + ood_range: [-50077356.402282126, 50047100.64779208] + - name: x2 + type: continuous + train_range: [1.0000679768314179e-11, 9.990480837231948e-10] + ood_range: [8.064733534125457e-12, 1.2572484396826086e-09] + + target: + name: y + type: continuous + train_range: [-102542493.13309552, 85652289.90795597] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium_dummy diff --git a/srsd/srsd-feynman_medium/feynman-ii.34.2a/ood_test.csv b/srsd/srsd-feynman_medium/feynman-ii.34.2a/ood_test.csv new file mode 100644 index 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file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.995699882372556e-24, 9.997702954176032e-24] + ood_range: [-1.9940401381723978e-21, 1.991433097906356e-21] + - name: x1 + type: continuous + train_range: [-999734.4999464873, 998546.8201094854] + ood_range: [-3978118.339714757, 3976060.593148821] + - name: x2 + type: continuous + train_range: [-0.09985402521406937, 0.09995032993855395] + ood_range: [-0.1256994636204421, 0.1258781268010843] + + target: + name: y + type: continuous + train_range: [-4.598680970806713e-19, 6.313959636635296e-19] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - 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a/srsd/srsd-feynman_medium/feynman-ii.6.11/formula.py b/srsd/srsd-feynman_medium/feynman-ii.6.11/formula.py new file mode 100644 index 0000000000000000000000000000000000000000..88ed14425ed6adae613a0531d6d1efcc1b60de0b --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-ii.6.11/formula.py @@ -0,0 +1,2 @@ +def y(x0, x1, x2): + return 28235825615.541 * x0 * np.cos(x1) / (np.pi * x2**2) diff --git a/srsd/srsd-feynman_medium/feynman-ii.6.11/id_test.csv b/srsd/srsd-feynman_medium/feynman-ii.6.11/id_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..f89ac37064462d5ed2ffbe325b15e640f8a6f30a --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-ii.6.11/id_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:633ab55b6dde9e334644fcd1d95eb921b1ad33f288bac1f4680d91b2c55300d5 +size 102040 diff --git a/srsd/srsd-feynman_medium/feynman-ii.6.11/metadata.yaml b/srsd/srsd-feynman_medium/feynman-ii.6.11/metadata.yaml new file mode 100644 index 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features: + - name: x0 + type: continuous + train_range: [-9.975859132345279e-17, 9.993549755315838e-17] + ood_range: [-3.966892203645926e-15, 3.9653957482992e-15] + - name: x1 + type: continuous + train_range: [1.0000038780042049e-10, 9.992775924707615e-09] + ood_range: [8.591690023199232e-11, 1.25753911424502e-08] + - name: x2 + type: continuous + train_range: [0.10003663023222778, 9.99941216436778] + ood_range: [0.0824871975572194, 12.589007825462197] + + target: + name: y + type: continuous + train_range: [-848.1149944519098, 1324.5197875359331] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium_dummy diff --git a/srsd/srsd-feynman_medium/feynman-iii.13.18/ood_test.csv b/srsd/srsd-feynman_medium/feynman-iii.13.18/ood_test.csv new file mode 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ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0000252616880157e-18, 9.994426446453505e-17] + ood_range: [8.033708267742158e-19, 1.2573748634944827e-16] + - name: x1 + type: continuous + train_range: [1.0000460029596333e-10, 9.996591418628399e-09] + ood_range: [8.204276333760081e-11, 1.258779440564826e-08] + + target: + name: y + type: continuous + train_range: [6.0197420638906766e-37, 5.398314439890103e-31] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium_dummy diff --git a/srsd/srsd-feynman_medium/feynman-iii.15.14/ood_test.csv b/srsd/srsd-feynman_medium/feynman-iii.15.14/ood_test.csv new file mode 100644 index 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description: + splits: + train: + file: train.csv + samples: 8000 + ratio: 8 + valid: + file: valid.csv + samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0014964853251873e-18, 9.996896680441438e-17] + ood_range: [8.080740754491049e-19, 1.2588645563178231e-16] + - name: x1 + type: continuous + train_range: [-9.978870179020324e-17, 9.990222804580807e-17] + ood_range: [-3.962414567120634e-15, 3.964905924174924e-15] + - name: x2 + type: continuous + train_range: [8.953209217235164e-05, 6.282550765754249] + ood_range: [-0.3137434674407991, 6.592915791296482] + + target: + name: y + type: continuous + train_range: [1.0014964853251873e-18, 9.996896680441438e-17] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium_dummy diff --git a/srsd/srsd-feynman_medium/feynman-iii.17.37/ood_test.csv b/srsd/srsd-feynman_medium/feynman-iii.17.37/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..865ee033167f0142dec0d1d8a7650e76c2642052 --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-iii.17.37/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:116d788238e6d26373edc81dae37ad65aa175be6bab55fc0de3553b8855c90de +size 87906 diff --git a/srsd/srsd-feynman_medium/feynman-iii.17.37/package.tar.gz b/srsd/srsd-feynman_medium/feynman-iii.17.37/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ab73d408675819f871c0bd5a477bbbd195bd9092 --- /dev/null +++ b/srsd/srsd-feynman_medium/feynman-iii.17.37/package.tar.gz @@ -0,0 +1,3 @@ +version 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id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [1.0016415857393164e-18, 9.990596779420334e-17] + ood_range: [8.210358144536425e-19, 1.2573406837900807e-16] + - name: x1 + type: continuous + train_range: [0.1000685468316078, 9.996766090393066] + ood_range: [0.0794732346178416, 12.588291489485048] + - name: x2 + type: continuous + train_range: [1.0004489099137148e-13, 9.998449117254449e-12] + ood_range: [8.352181168075523e-14, 1.2585948084784638e-11] + - name: x3 + type: continuous + train_range: [-9.98104190826416, 9.997254371643066] + ood_range: [-12.587361608151465, 12.582642455818975] + - name: x4 + type: continuous + train_range: [-9.98420524597168, 9.994759559631348] + ood_range: [-12.585629046970924, 12.58434241932901] + - name: x5 + type: continuous + train_range: [-9.993803977966307, 9.950908660888672] + 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title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium diff --git a/srsd/srsd-feynman_medium_dummy/feynman-i.16.6/ood_test.csv b/srsd/srsd-feynman_medium_dummy/feynman-i.16.6/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1d5e4f190fe668a2402846c2a759df45dd45099a --- /dev/null +++ b/srsd/srsd-feynman_medium_dummy/feynman-i.16.6/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:39e699d96e1927802e0c91104f65a6033f3b5f1161fe5babcf295a51fe5d4ef4 +size 75396 diff --git a/srsd/srsd-feynman_medium_dummy/feynman-i.16.6/package.tar.gz b/srsd/srsd-feynman_medium_dummy/feynman-i.16.6/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..fbbae0682d816cce52976ce106d0af4cd800d66b --- /dev/null +++ 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Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium diff --git a/srsd/srsd-feynman_medium_dummy/feynman-i.43.43/ood_test.csv b/srsd/srsd-feynman_medium_dummy/feynman-i.43.43/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef2ad9a02f20c5668ad7c646ea0d12d3a79b81dd --- /dev/null +++ b/srsd/srsd-feynman_medium_dummy/feynman-i.43.43/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:775d3279b5457050f2403320ce2c231da4411cbb30617741326c45e5c386c525 +size 125115 diff --git a/srsd/srsd-feynman_medium_dummy/feynman-i.43.43/package.tar.gz b/srsd/srsd-feynman_medium_dummy/feynman-i.43.43/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..2955ee47b7b6ed663e2e6c44684489a9e16d55b1 --- /dev/null +++ b/srsd/srsd-feynman_medium_dummy/feynman-i.43.43/package.tar.gz @@ 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samples: 1000 + ratio: 1 + id_test: + file: id_test.csv + samples: 1000 + ratio: 1 + ood_test: + file: ood_test.csv + samples: 1000 + ratio: 1 + ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-0.0999489650130272, 0.09951841831207277] + ood_range: [-0.1257735721807782, 0.1252442699054652] + - name: x1 + type: continuous + train_range: [-997.5689086914062, 999.0103149414062] + ood_range: [-1990.5724951130928, 1992.6447499843105] + - name: x2 + type: continuous + train_range: [1.000316858291626, 99.83685302734376] + ood_range: [0.8102490376543202, 125.60644640034238] + - name: x3 + type: continuous + train_range: [-9.995957707458751e+23, 9.993097741551384e+23] + ood_range: [-2.505311272103836e+26, 2.508388023290861e+26] + - name: x4 + type: continuous + train_range: [1001733.6875, 99985952.0] + ood_range: [801285.8944350837, 125878336.74797618] + + target: + name: y + type: continuous + train_range: [-964084416.0, 960265984.0] + 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ground_truth_formula: + file: formula.py + features: + - name: x0 + type: continuous + train_range: [-9.975859067882595e-17, 9.993549483334899e-17] + ood_range: [-3.963731827339806e-15, 3.972648000808769e-15] + - name: x1 + type: continuous + train_range: [1.0000038991320179e-10, 9.992775495959448e-09] + ood_range: [8.12600644040978e-11, 1.2575996377221117e-08] + - name: x2 + type: continuous + train_range: [-9.996658981740702e+30, 9.983916299139054e+30] + ood_range: [-1.251204046411468e+34, 1.2555492239677726e+34] + - name: x3 + type: continuous + train_range: [100246504.0, 9987151872.0] + ood_range: [80081831.11064008, 12570691077.343376] + - name: x4 + type: continuous + train_range: [0.1000366285443306, 9.999412536621092] + ood_range: [0.0802660109617804, 12.587967191422294] + + target: + name: y + type: continuous + train_range: [-848.114990234375, 1324.519775390625] + ood_range: + + license: CC BY 4.0 + citation: + arXiv: 2206.10540 + title: Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery + resources: + - https://github.com/omron-sinicx/srsd-benchmark + - https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium diff --git a/srsd/srsd-feynman_medium_dummy/feynman-iii.13.18/ood_test.csv b/srsd/srsd-feynman_medium_dummy/feynman-iii.13.18/ood_test.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd696b4147c896ff579533492060a18b40876629 --- /dev/null +++ b/srsd/srsd-feynman_medium_dummy/feynman-iii.13.18/ood_test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1416b95fc126e2ce795c11fbb0a36fbedcb2203a5e9c03cf036d648087eeb96e +size 124856 diff --git a/srsd/srsd-feynman_medium_dummy/feynman-iii.13.18/package.tar.gz b/srsd/srsd-feynman_medium_dummy/feynman-iii.13.18/package.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..625e3348c87e0bb60d43b6cb4f4f1fe7224692f9 --- /dev/null +++ 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https://git-lfs.github.com/spec/v1 +oid sha256:9dedfc5ba3361f7cee0bf03c7c1867ed2e7a2db63b3da1cebabc464191dfad1d +size 201951 diff --git a/tests/filtered_formula_py.txt b/tests/filtered_formula_py.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e3f1d163762d182361173b1a81f0e847ae78b23 --- /dev/null +++ b/tests/filtered_formula_py.txt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5e11bca7b4abf58c4c953460d3986c34b8e74d9cad63e00945e555eca4e625e5 +size 24385 diff --git a/tests/test_dataset_integrity.py b/tests/test_dataset_integrity.py new file mode 100644 index 0000000000000000000000000000000000000000..1857a87a959ba1021440268628f7204cc9731057 --- /dev/null +++ b/tests/test_dataset_integrity.py @@ -0,0 +1,218 @@ +# tests/test_dataset_integrity.py +import os +import pytest +import glob + +def get_all_dataset_paths(): + """获取所有三级目录下的数据集路径""" + dataset_paths = [] + + # SRSD数据集 + srsd_base = 'srsd' + srsd_categories = [ + 'srsd-feynman_easy', + 'srsd-feynman_medium', + 'srsd-feynman_hard', + 'srsd-feynman_easy_dummy', + 'srsd-feynman_medium_dummy', + 'srsd-feynman_hard_dummy' + ] + + for category in srsd_categories: + category_path = os.path.join(srsd_base, category) + if os.path.exists(category_path): + for dataset_dir in os.listdir(category_path): + dataset_path = os.path.join(category_path, dataset_dir) + if os.path.isdir(dataset_path): + dataset_paths.append(dataset_path) + + # SRBench1.0数据集 + srbench_base = 'srbench1.0' + srbench_categories = ['feynman', 'strogatz', 'blackbox'] + + for category in srbench_categories: + category_path = os.path.join(srbench_base, category) + if os.path.exists(category_path): + for dataset_dir in os.listdir(category_path): + dataset_path = os.path.join(category_path, dataset_dir) + if os.path.isdir(dataset_path): + dataset_paths.append(dataset_path) + + # LLM-SRBench数据集 + llm_srbench_base = 'llm-srbench' + llm_categories = ['chem_react', 'phys_osc', 'bio_pop_growth', 'matsci', 'lsrtransform'] + + for category in llm_categories: + category_path = os.path.join(llm_srbench_base, category) + if os.path.exists(category_path): + for dataset_dir in os.listdir(category_path): + dataset_path = os.path.join(category_path, dataset_dir) + if os.path.isdir(dataset_path): + dataset_paths.append(dataset_path) + + return dataset_paths + +def test_dataset_files_exist(): + """测试所有三级目录下数据集必要文件是否存在""" + dataset_paths = get_all_dataset_paths() + + print(f"\n{'='*80}") + print(f"数据集完整性检查报告") + print(f"{'='*80}") + print(f"找到 {len(dataset_paths)} 个数据集目录") + + # 所有必需文件 + required_files = ['formula.py', 'train.csv', 'id_test.csv', 'ood_test.csv', 'valid.csv', 'metadata.yaml'] + + # 统计信息 + total_datasets = len(dataset_paths) + complete_datasets = 0 + incomplete_datasets = 0 + + # 按类别统计 + category_stats = {} + + # 详细结果 + detailed_results = [] + + for dataset_path in dataset_paths: + dataset_name = os.path.basename(dataset_path) + category = os.path.basename(os.path.dirname(dataset_path)) + main_category = os.path.basename(os.path.dirname(os.path.dirname(dataset_path))) + + # 初始化类别统计 + if main_category not in category_stats: + category_stats[main_category] = {'total': 0, 'complete': 0, 'missing_files': {}} + category_stats[main_category]['total'] += 1 + + # 检查文件 + missing_files = [] + present_files = [] + + # 对于srbench1.0的blackbox类别，不检查formula.py + files_to_check = required_files + if main_category == 'srbench1.0' and category == 'blackbox': + files_to_check = [f for f in required_files if f != 'formula.py'] + + for required_file in files_to_check: + file_path = os.path.join(dataset_path, required_file) + if os.path.exists(file_path): + present_files.append(required_file) + else: + missing_files.append(required_file) + + # 判断是否完整 + is_complete = len(missing_files) == 0 + + if is_complete: + complete_datasets += 1 + category_stats[main_category]['complete'] += 1 + else: + incomplete_datasets += 1 + + # 记录缺失文件统计 + for missing_file in missing_files: + if missing_file not in category_stats[main_category]['missing_files']: + category_stats[main_category]['missing_files'][missing_file] = 0 + category_stats[main_category]['missing_files'][missing_file] += 1 + + # 添加到详细结果 + detailed_results.append({ + 'path': f"{main_category}/{category}/{dataset_name}", + 'is_complete': is_complete, + 'missing_files': missing_files, + 'present_files': present_files + }) + + # 打印总体统计 + print(f"\n总体统计:") + print(f" 总数据集数量: {total_datasets}") + print(f" 完整数据集: {complete_datasets}") + print(f" 不完整数据集: {incomplete_datasets}") + print(f" 完整性比例: {(complete_datasets/total_datasets*100):.1f}%") + + # 打印按类别统计 + print(f"\n按类别统计:") + for category, stats in category_stats.items(): + if stats['total'] > 0: + completeness = (stats['complete'] / stats['total']) * 100 + print(f" {category}:") + print(f" 总数: {stats['total']}") + print(f" 完整: {stats['complete']}") + print(f" 完整性: {completeness:.1f}%") + + if stats['missing_files']: + print(f" 缺失文件统计:") + for file, count in sorted(stats['missing_files'].items()): + print(f" {file}: {count} 个数据集缺失") + + # 打印详细结果 + print(f"\n详细检查结果:") + print(f"{'='*80}") + + # 先显示不完整的数据集 + incomplete_results = [r for r in detailed_results if not r['is_complete']] + if incomplete_results: + print(f"\n不完整的数据集 ({len(incomplete_results)} 个):") + for result in incomplete_results: + print(f" ❌ {result['path']}") + print(f" 缺失文件: {', '.join(result['missing_files'])}") + print(f" 存在文件: {', '.join(result['present_files'])}") + print() + + # 显示完整的数据集 + complete_results = [r for r in detailed_results if r['is_complete']] + if complete_results: + print(f"\n完整的数据集 ({len(complete_results)} 个):") + for result in complete_results[:10]: # 只显示前10个 + print(f" ✅ {result['path']}") + + if len(complete_results) > 10: + print(f" ... 还有 {len(complete_results) - 10} 个完整数据集") + + # 断言检查 + if incomplete_datasets > 0: + print(f"\n⚠️ 发现 {incomplete_datasets} 个不完整的数据集") + assert False, f"发现 {incomplete_datasets} 个不完整的数据集" + else: + print(f"\n🎉 所有数据集完整性检查通过！") + + + +def test_dataset_statistics(): + """生成数据集统计信息""" + dataset_paths = get_all_dataset_paths() + + stats = { + 'srsd': {'total': 0, 'complete': 0}, + 'srbench1.0': {'total': 0, 'complete': 0}, + 'llm-srbench': {'total': 0, 'complete': 0} + } + + for dataset_path in dataset_paths: + main_category = os.path.basename(os.path.dirname(os.path.dirname(dataset_path))) + category = os.path.basename(os.path.dirname(dataset_path)) + + if main_category in stats: + stats[main_category]['total'] += 1 + + # 检查是否完整（包含所有必需文件） + required_files = ['formula.py', 'train.csv', 'valid.csv', 'id_test.csv', 'ood_test.csv', 'metadata.yaml'] + + # 对于srbench1.0的blackbox类别，不检查metadata.yaml + files_to_check = required_files + if main_category == 'srbench1.0' and category == 'blackbox': + files_to_check = [f for f in required_files if f != 'formula.py'] + + is_complete = all(os.path.exists(os.path.join(dataset_path, f)) for f in files_to_check) + + if is_complete: + stats[main_category]['complete'] += 1 + + print("\n数据集完整性统计:") + for category, data in stats.items(): + if data['total'] > 0: + completeness = (data['complete'] / data['total']) * 100 + print(f"{category}: {data['complete']}/{data['total']} ({completeness:.1f}%)") + + return stats diff --git a/tests/test_formula_integrity.py b/tests/test_formula_integrity.py new file mode 100644 index 0000000000000000000000000000000000000000..df516c865ddd6154a28d82be42f1c5d42a618d17 --- /dev/null +++ b/tests/test_formula_integrity.py @@ -0,0 +1,71 @@ +import os +import sys +import importlib.util +import numpy as np +import pandas as pd +import pytest + +NMSE_THRESHOLD = 3e-5 + +# 读取所有需要测试的formula.py路径 +with open(os.path.join(os.path.dirname(__file__), './filtered_formula_py.txt')) as f: + formula_py_list = [line.strip() for line in f if line.strip()] + +def dynamic_import_formula(formula_path): + # 动态导入formula.py，并注入np + spec = importlib.util.spec_from_file_location('formula', formula_path) + module = importlib.util.module_from_spec(spec) + setattr(module, 'np', np) + sys.modules['formula'] = module + spec.loader.exec_module(module) + # 取第一个非__开头的函数 + func = None + for name in dir(module): + if not name.startswith('__') and callable(getattr(module, name)): + func = getattr(module, name) + break + return func + +def find_all_csv_files(formula_path): + # 返回同级目录下所有csv文件 + base_dir = os.path.dirname(formula_path) + csv_files = [] + for fname in os.listdir(base_dir): + if fname.endswith('.csv'): + fpath = os.path.join(base_dir, fname) + # 排除空文件 + if os.path.getsize(fpath) > 0: + csv_files.append(fpath) + return csv_files + +def calc_nmse(y_true, y_pred): + y_true = np.asarray(y_true) + y_pred = np.asarray(y_pred) + mse = np.mean((y_true - y_pred) ** 2) + var = np.mean((y_true - np.mean(y_true)) ** 2) + if var == 0: + return np.inf if mse > 0 else 0 + return mse / var + +@pytest.mark.parametrize('formula_path', formula_py_list) +def test_formula(formula_path): + func = dynamic_import_formula(formula_path) + csv_files = find_all_csv_files(formula_path) + assert csv_files, f'No csv files found for {formula_path}' + for csv_file in csv_files: + df = pd.read_csv(csv_file) + if df.shape[1] < 2: + continue # 跳过只有一列的csv + target_col = df.columns[-1] # 只取最后一列为target + input_cols = df.columns[:-1] # 前面所有列为输入 + # 只测前1000行，防止超大 + df = df.iloc[:1000] + y_true = df[target_col].values + y_pred = [] + for _, row in df.iterrows(): + try: + y_pred.append(func(*(row[col] for col in input_cols))) + except Exception as e: + pytest.fail(f'Error in {formula_path} {csv_file} row: {e}') + nmse = calc_nmse(y_true, y_pred) + assert nmse < NMSE_THRESHOLD, f'{formula_path} {csv_file} nmse={nmse} >= {NMSE_THRESHOLD}'