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| 1 |
+
---
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| 2 |
+
license: cc-by-4.0
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| 3 |
+
task_categories:
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| 4 |
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- question-answering
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| 5 |
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language:
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- en
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tags:
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| 8 |
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- chemistry
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| 9 |
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- solubility
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| 10 |
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- cheminformatics
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| 11 |
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- llm-benchmark
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| 12 |
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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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| 19 |
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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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| 31 |
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---
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| 32 |
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| 33 |
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# SoluBench
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| 34 |
+
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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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> 📄 Preprint: *coming soon*
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| 38 |
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> 💻 GitHub: [levakrasnovs/SoluBench](https://github.com/levakrasnovs/SoluBench)
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| 39 |
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| 40 |
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---
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| 41 |
+
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| 42 |
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## Tasks
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| 43 |
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| Config | Task | Description | Input | Output | n | Random baseline |
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| 45 |
+
|--------|------|-------------|-------|--------|---|-----------------|
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| 46 |
+
| `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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| 47 |
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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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| 48 |
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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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| 50 |
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| 51 |
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---
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| 52 |
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| 53 |
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## Usage
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| 54 |
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| 55 |
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```python
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| 56 |
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from datasets import load_dataset
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| 57 |
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| 58 |
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# Load a specific task
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| 59 |
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ds = load_dataset("levakrasnovs/SoluBench", "task1")
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| 60 |
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print(ds["test"][0])
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| 61 |
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# Load all tasks
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| 63 |
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for task in ["task1", "task2", "task3", "task4"]:
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| 64 |
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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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| 67 |
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---
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| 69 |
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## Data fields
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| 72 |
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### Task 1 — Pairwise solvent comparison
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| 73 |
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| Field | Description |
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| 74 |
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|-------|-------------|
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| `id` | Unique row identifier |
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| 76 |
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| `DOI` | Source publication |
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| 77 |
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| `SMILES` | Compound SMILES |
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| 78 |
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| `Temperature_K` | Temperature in Kelvin |
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| 79 |
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| `Solvent_A` | First solvent |
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| 80 |
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| `Solvent_B` | Second solvent |
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| 81 |
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| `LogS_A` | Experimental log solubility in solvent A (mol/L) |
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| 82 |
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| `LogS_B` | Experimental log solubility in solvent B (mol/L) |
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| 83 |
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| `Delta_LogS` | \|LogS_A − LogS_B\| |
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| `Answer` | Correct answer (A or B) |
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| 85 |
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| 86 |
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### Task 2 — Best solvent selection
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| 87 |
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| Field | Description |
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| 88 |
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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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### 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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| 109 |
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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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| 111 |
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| `Fraction_base` | Fraction of base solvent |
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| 112 |
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| `Fraction_added` | Fraction of added co-solvent |
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| 113 |
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| `New_composition` | Human-readable mixture description |
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| 114 |
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| `Fraction_type` | Type of fraction (mole/volume/mass) |
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| 115 |
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| `Delta_LogS_new_minus_base` | LogS(mixture) − LogS(pure base) |
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| 116 |
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| `Answer` | A = solubility enhanced, B = solubility reduced |
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| 118 |
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### Task 4 — Pairwise compound comparison
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| 119 |
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| Field | Description |
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| 120 |
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|-------|-------------|
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| 121 |
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| `id` | Unique row identifier |
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| 122 |
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| `Solvent` | Solvent name |
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| 123 |
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| `Temperature_K` | Temperature in Kelvin |
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| 124 |
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| `SMILES_A` | SMILES of compound A |
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| 125 |
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| `SMILES_B` | SMILES of compound B |
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| 126 |
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| `Compound_name_A` | Name of compound A |
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| 127 |
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| `Compound_name_B` | Name of compound B |
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| 128 |
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| `LogS_A` | Experimental log solubility of compound A (mol/L) |
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| 129 |
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| `LogS_B` | Experimental log solubility of compound B (mol/L) |
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| 130 |
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| `DOI_A` | Source publication for compound A |
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| 131 |
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| `DOI_B` | Source publication for compound B |
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| 132 |
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| `delta_logS` | LogS_A − LogS_B |
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| 133 |
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| `Answer` | Correct answer (A or B) |
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| 134 |
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| 135 |
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---
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| 136 |
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| 137 |
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## Source datasets
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| 138 |
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| 139 |
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| Dataset | Paper | Download |
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| 140 |
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|---------|-------|----------|
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| 141 |
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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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| 142 |
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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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| 143 |
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| 144 |
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---
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| 145 |
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| 146 |
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## Model results
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| 147 |
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| 148 |
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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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| 151 |
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| 152 |
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## Citation
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| 153 |
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| 154 |
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> Citation will be added upon preprint publication.
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| 155 |
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| 156 |
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---
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| 157 |
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## License
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| 159 |
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| 160 |
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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