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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - question-answering
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+ language:
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+ - en
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+ tags:
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+ - chemistry
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+ - solubility
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+ - cheminformatics
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+ - llm-benchmark
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+ - smiles
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+ pretty_name: SoluBench
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+ configs:
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+ - config_name: task1
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+ data_files:
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+ - split: test
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+ path: data/task1_pairwise_solvent_comparison.csv
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+ - config_name: task2
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+ data_files:
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+ - split: test
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+ path: data/task2_best_solvent_selection.csv
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+ - config_name: task3
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+ data_files:
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+ - split: test
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+ path: data/task3_cosolvent_effect_prediction.csv
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+ - config_name: task4
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+ data_files:
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+ - split: test
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+ path: data/task4_pairwise_compound_comparison.csv
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+ ---
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+
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+ # SoluBench
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+
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+ **SoluBench** is a benchmark for evaluating large language models on solubility prediction tasks of increasing complexity. It is built on top of [BigSolDB v2.0](https://www.nature.com/articles/s41597-025-05559-8) and [MixtureSolDB](https://doi.org/10.26434/chemrxiv-2025-m51v8) — two curated experimental solubility datasets.
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+
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+ > 📄 Preprint: *coming soon*
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+ > 💻 GitHub: [levakrasnovs/SoluBench](https://github.com/levakrasnovs/SoluBench)
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+
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+ ---
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+
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+ ## Tasks
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+
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+ | Config | Task | Description | Input | Output | n | Random baseline |
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+ |--------|------|-------------|-------|--------|---|-----------------|
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+ | `task1` | Pairwise solvent comparison | Given a compound (SMILES) and two solvents, select the one with higher solubility | SMILES + 2 solvents | A / B | 3699 | 50.0% |
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+ | `task2` | Best solvent selection | Given a compound and a list of solvents, select the one with highest solubility | SMILES + N solvents | letter | — | ~17.1% |
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+ | `task3` | Co-solvent effect prediction | Given a compound, a base solvent and a co-solvent mixture, predict whether solubility increases or decreases | SMILES + mixture composition | A / B | — | ~16.7% |
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+ | `task4` | Pairwise compound comparison | Given a solvent and two compounds (SMILES), select the one with higher solubility | Solvent + 2 SMILES | A / B | 3000 | 50.0% |
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+
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+ ---
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load a specific task
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+ ds = load_dataset("levakrasnovs/SoluBench", "task1")
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+ print(ds["test"][0])
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+
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+ # Load all tasks
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+ for task in ["task1", "task2", "task3", "task4"]:
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+ ds = load_dataset("levakrasnovs/SoluBench", task)
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+ print(f"{task}: {len(ds['test'])} rows")
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+ ```
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+
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+ ---
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+
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+ ## Data fields
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+
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+ ### Task 1 — Pairwise solvent comparison
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+ | Field | Description |
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+ |-------|-------------|
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+ | `id` | Unique row identifier |
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+ | `DOI` | Source publication |
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+ | `SMILES` | Compound SMILES |
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+ | `Temperature_K` | Temperature in Kelvin |
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+ | `Solvent_A` | First solvent |
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+ | `Solvent_B` | Second solvent |
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+ | `LogS_A` | Experimental log solubility in solvent A (mol/L) |
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+ | `LogS_B` | Experimental log solubility in solvent B (mol/L) |
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+ | `Delta_LogS` | \|LogS_A − LogS_B\| |
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+ | `Answer` | Correct answer (A or B) |
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+
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+ ### Task 2 — Best solvent selection
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+ | Field | Description |
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+ |-------|-------------|
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+ | `id` | Unique row identifier |
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+ | `DOI` | Source publication |
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+ | `SMILES` | Compound SMILES |
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+ | `Temperature_K` | Temperature in Kelvin |
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+ | `Best_solvent` | Solvent with highest solubility |
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+ | `Best_LogS` | LogS in best solvent |
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+ | `Second_best_solvent` | Solvent with second highest solubility |
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+ | `Second_best_LogS` | LogS in second best solvent |
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+ | `Delta_LogS_best_minus_second` | LogS difference between best and second best |
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+ | `All_solvents` | Semicolon-separated list of all solvents |
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+ | `All_LogS` | Semicolon-separated list of all LogS values |
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+ | `Answer` | Correct answer (letter corresponding to best solvent) |
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+
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+ ### Task 3 — Co-solvent effect prediction
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+ | Field | Description |
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+ |-------|-------------|
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+ | `id` | Unique row identifier |
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+ | `DOI` | Source publication |
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+ | `SMILES` | Compound SMILES |
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+ | `Temperature_K` | Temperature in Kelvin |
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+ | `Base_solvent` | Pure base solvent |
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+ | `Added_solvent` | Co-solvent added to the mixture |
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+ | `Fraction_base` | Fraction of base solvent |
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+ | `Fraction_added` | Fraction of added co-solvent |
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+ | `New_composition` | Human-readable mixture description |
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+ | `Fraction_type` | Type of fraction (mole/volume/mass) |
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+ | `Delta_LogS_new_minus_base` | LogS(mixture) − LogS(pure base) |
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+ | `Answer` | A = solubility enhanced, B = solubility reduced |
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+
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+ ### Task 4 — Pairwise compound comparison
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+ | Field | Description |
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+ |-------|-------------|
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+ | `id` | Unique row identifier |
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+ | `Solvent` | Solvent name |
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+ | `Temperature_K` | Temperature in Kelvin |
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+ | `SMILES_A` | SMILES of compound A |
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+ | `SMILES_B` | SMILES of compound B |
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+ | `Compound_name_A` | Name of compound A |
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+ | `Compound_name_B` | Name of compound B |
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+ | `LogS_A` | Experimental log solubility of compound A (mol/L) |
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+ | `LogS_B` | Experimental log solubility of compound B (mol/L) |
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+ | `DOI_A` | Source publication for compound A |
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+ | `DOI_B` | Source publication for compound B |
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+ | `delta_logS` | LogS_A − LogS_B |
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+ | `Answer` | Correct answer (A or B) |
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+
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+ ---
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+
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+ ## Source datasets
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+
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+ | Dataset | Paper | Download |
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+ |---------|-------|----------|
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+ | BigSolDB v2.0 | [Nature Scientific Data](https://www.nature.com/articles/s41597-025-05559-8) | [Zenodo](https://doi.org/10.5281/zenodo.15094979) |
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+ | MixtureSolDB | [ChemRxiv](https://doi.org/10.26434/chemrxiv-2025-m51v8) (accepted in Scientific Data) | [Zenodo](https://doi.org/10.5281/zenodo.18660057) |
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+
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+ ---
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+
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+ ## Model results
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+
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+ Full model evaluation results (20+ LLMs including GPT, Claude, Gemini, Grok, Qwen, DeepSeek, GLM) are available in the [GitHub repository](https://github.com/levakrasnovs/SoluBench/tree/main/results).
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+
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+ ---
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+
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+ ## Citation
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+
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+ > Citation will be added upon preprint publication.
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+
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+ ---
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+
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+ ## License
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+
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+ [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)