conversations listlengths 4 8 | system stringclasses 1
value | tools stringclasses 14
values |
|---|---|---|
[
{
"from": "human",
"value": "Determine the thermodynamic free energy of the drug CC[C@@H](C)CO's dissolution process. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC[C@@H](C)CO\"], \"prop... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the energy change in the dissolution of the molecule CCC[C@H](C)CC. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCC[C@H](C)CC\"], \"property_name\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the thermodynamic change in free energy during the drug CN(C)c1ccccc1 dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CN(C)c1ccccc1\"], \"pr... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the thermodynamic free energy of the compound C[C@@H](CO[N+](=O)[O-])O[N+](=O)[O-]'s dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C[C@@... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the enthalpy and entropy changes for the drug CCOP(=S)(OCC)S[C@@H](CCl)N1C(=O)c2ccccc2C1=O dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the dissolution free energy for the compound Cc1cc(cc(c1)C)C. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc1cc(cc(c1)C)C\"], \"property_name\": \"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the change in Gibbs free energy for the drug CC(=C)C(=C)C's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(=C)C(=C)C\"], \"property_nam... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the equilibrium Gibbs free energy change for the drug c1ccc(c(c1)N)[N+](=O)[O-] dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"c1ccc(c(c1... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much energy is required for the drug CN1CCNCC1 to dissolve in water? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CN1CCNCC1\"], \"property_name\": \"frees... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the dissolution free energy for the given compound CCNc1nc(nc(n1)SC)NC(C)(C)C. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCNc1nc(nc(n1)SC)NC(C)(C... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the Gibbs free energy of dissolution for the molecule CCCCC#C. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCCC#C\"], \"property_name\": \"freesol... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the free energy change for dissolving the drug CCSCC in water. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCSCC\"], \"property_name\": \"freesolv\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Compute the free energy associated with the compound CCCC(=C)C's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCC(=C)C\"], \"property_name\": \"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Evaluate the free energy required for the dissolution of the molecule CCCCCC(=O)OCC. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCCCC(=O)OCC\"], \"property... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the total free energy required for the drug CCc1cccc(c1N(COC)C(=O)CCl)CC's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCc1cccc(c1N(COC... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the energy change during the molecule CCCCCCOC(=O)C's dissolution process? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCCCCOC(=O)C\"], \"property_n... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the free energy change involved in dissolving the drug CC(C)C(=O)C in solution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(C)C(=O)C\"], \"proper... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the total free energy change involved in the dissolution of the drug CC(C)Cc1cnccn1. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(C)Cc1cnccn1\"],... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the overall free energy change for the drug COCCO's dissolution process? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"COCCO\"], \"property_name\": \"f... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the thermodynamic free energy for the dissolution of the drug CCc1cccc(c1N(COC)C(=O)CCl)CC molecule. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the free energy of the dissolution process for the drug CC1CCCC1. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC1CCCC1\"], \"property_name\": \"free... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the free energy change in the molecule CF's dissolution process. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CF\"], \"property_name\": \"freesolv\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How does the dissolution process of the drug Cc1ccc(cc1)O affect free energy? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc1ccc(cc1)O\"], \"property_name\":... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Compute the free energy change for the dissolution of the molecule CC(=O)N. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(=O)N\"], \"property_name\": \"free... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the Gibbs free energy for the compound CC(=O)C(C)(C)C's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(=O)C(C)(C)C\"], \"property_name\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the thermodynamic energy change for the molecule CCCCCC(=O)C's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCCCC(=O)C\"], \"property_name\... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the total free energy involved in the drug C(Br)(Br)Br's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C(Br)(Br)Br\"], \"property_name\": ... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How is the Gibbs free energy calculated for the drug CCCCCC=O's dissolution in solution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCCCC=O\"], \"property_... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Evaluate the free energy for the compound CC(C)I dissolution reaction. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(C)I\"], \"property_name\": \"freesolv\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much free energy does the molecule CCc1cnccn1 require to dissolve? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCc1cnccn1\"], \"property_name\": \"freeso... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much energy is released when the drug COc1c(ccc(c1C(=O)O)Cl)Cl dissolves? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"COc1c(ccc(c1C(=O)O)Cl)Cl\"], \"prop... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the contribution of free energy to the dissolution of the drug CC(C)CCC(C)(C)C? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(C)CCC(C)(C)C\"], \"pro... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How is the free energy change calculated for the dissolution of the drug c1ccc(cc1)O? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"c1ccc(cc1)O\"], \"property_... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the entropic and enthalpic contributions to the drug N's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"N\"], \"property_name\": \"freeso... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the free energy of dissolution for the compound CCOC(=O)CC(=O)OCC. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCOC(=O)CC(=O)OCC\"], \"property_name\": ... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the enthalpy change for the drug COCCN's dissolution process? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"COCCN\"], \"property_name\": \"freesolv\"}}... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the free energy change associated with the dissolution of the drug COC(=O)C1CC1. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"COC(=O)C1CC1\"], \"property... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Evaluate the energy change during the dissolution of the drug CC(OC(=O)C)OC(=O)C in water. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(OC(=O)C)OC(=O)C\"],... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the change in free energy as the compound CCC[N+](=O)[O-] dissolves. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCC[N+](=O)[O-]\"], \"property_nam... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much free energy is released during the molecule C=C's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C=C\"], \"property_name\": \"freesolv\"}}... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the change in free energy as the molecule C(C(Cl)Cl)Cl undergoes dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C(C(Cl)Cl)Cl\"], \"property... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the enthalpy contribution to the dissolution of the drug CC/C=C\\C? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC/C=C\\C\"], \"property_name\": \"fr... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the amount of free energy required for compound Cc1cc2ccccc2cc1C dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc1cc2ccccc2cc1C\"], \"pro... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the Gibbs free energy for the compound c1c(c(=O)[nH]c(=O)[nH]1)I's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"c1c(c(=O)[nH]c(=O)[nH]1)... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How is the free energy calculated during the drug C=CCO dissolution process? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C=CCO\"], \"property_name\": \"frees... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Assess the free energy for dissolving the drug Cc1cccnc1 in solution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc1cccnc1\"], \"property_name\": \"freesolv... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the energy change for the dissolution of the compound COCC(OC)(OC)OC molecule? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"COCC(OC)(OC)OC\"], \"prope... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the free energy change when the drug CCOC=O is dissolved in solvent. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCOC=O\"], \"property_name\": \"fr... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Predict the free energy of dissolution for the compound Cc1cccs1. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc1cccs1\"], \"property_name\": \"freesolv\"}}"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How is the free energy of dissolution calculated for the molecule C1CCCCC1? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C1CCCCC1\"], \"property_name\": \"fre... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the Gibbs free energy for dissolving the drug CCC(C)CC and CCCCI in solution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCC(C)CC\", \"CCCCI\"], \"prop... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the standard free energy of dissolution for the drug C[C@@H](c1ccc2cc(ccc2c1)OC)C(=O)O and CC(C)(C)C(=O)OC. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How do the enthalpy and entropy changes impact the free energy of the drug Cc1cccc(c1)C and CCI's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How does the drug C=C(Cl)Cl and Cc1cccc2c1cccc2's dissolution relate to free energy changes? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C=C(Cl)Cl\", \"Cc1cc... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the free energy change involved in dissolving the compound CC(C)C and CCC=C? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(C)C\", \"CCC=C\"], \"prop... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Evaluate the standard Gibbs free energy change for the drug c1cc(c(c(c1c2cc(c(c(c2Cl)Cl)Cl)Cl)Cl)Cl)Cl and CCCCCC(=O)C's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": ... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much free energy is required to dissolve the drug CCOP(=S)(OCC)Oc1ccc(cc1)[N+](=O)[O-] and c1ccc(cc1)S in solution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the Gibbs free energy of dissolution for the given drug CC(C)SC(C)C and C1CCC(=O)C1. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(C)SC(C)C\", \"C1CCC(... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the thermodynamic change in free energy for the compound C1CCC(=O)C1 and C(C(Cl)(Cl)Cl)(Cl)(Cl)Cl's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the free energy required for the dissolution of the molecule CCOC(OCC)Oc1ccccc1 and CCCCCCCCl. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCOC(OCC... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the thermodynamic change in free energy for dissolving the drug C[C@@H](c1ccc(c(c1)F)c2ccccc2)C(=O)O and CS(=O)(=O)Cl? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the free energy change for the compound CCOCCOCC and CCCOC's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCOCCOCC\", \"CCCOC\"], \"pro... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the dissolution free energy of the compound Cc1ccc(cc1)C(=O)C and CCNCC. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc1ccc(cc1)C(=O)C\", \"CCNCC\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the free energy of dissolution of the drug Cc1cnccn1 and C([C@H]([C@H]([C@@H]([C@@H](CO)O)O)O)O)O molecule. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the enthalpy and entropy contribution to the free energy of the drug CC(C)(C)C(=O)OC and Cc1ccc(cc1)C(C)C dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the Gibbs free energy of dissolution for the compound c1ccc2c(c1)Oc3ccccc3O2 and [C@@H](C(F)(F)F)(Cl)Br. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the Gibbs free energy associated with the molecule c1c(c(=O)[nH]c(=O)[nH]1)C(F)(F)F and COc1ccccc1's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smil... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the free energy balance for the drug CN and Cc1ccc2cc(ccc2c1)C dissolution process? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CN\", \"Cc1ccc2cc(ccc... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much energy is needed for the drug C(C(F)(Cl)Cl)(F)(F)Cl and c1ccc(cc1)n2c(=O)c(c(cn2)N)Cl to undergo dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the change in free energy when the molecule c1ccc(cc1)CCCO and COC(=O)CC#N dissolves. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"c1ccc(cc1)CCCO\", \"CO... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the Gibbs free energy change for the molecule CCC[N@@](CC1CC1)c2c(cc(cc2[N+](=O)[O-])C(F)(F)F)[N+](=O)[O-] and Cc1ccccc1's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arg... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the energy change for the dissolution of the molecule C(=C/Cl)\\Cl and C=CCl in water? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C(=C/Cl)\\Cl\", \"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the free energy change during the compound CCl and C(C(Cl)(Cl)Cl)(Cl)(Cl)Cl's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCl\", \"C(C(... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Find the change in Gibbs free energy for dissolving the drug CCl and CC[C@H](C)O in water. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCl\", \"CC[C@H](C)O\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the energy change in the compound c1ccc(c(c1)N)[N+](=O)[O-] and CC(C)O's dissolution reaction. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"c1ccc(c(... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Compute the energy change during the compound CC(C)CCO and CCCCCCCO's dissolution process. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(C)CCO\", \"CCCCCCCO... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much free energy is involved in the compound CCCC[N+](=O)[O-] and C[C@@H](c1ccc(c(c1)F)c2ccccc2)C(=O)O's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smil... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the energy change involved in the molecule c1cc(ccc1N)N(=O)=O and CC(C)OC's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"c1cc(ccc1N)N(=... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much Gibbs free energy is involved in the dissolution of the drug CCCCC(C)C and COCC(OC)(OC)OC? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCCC(C)C\", ... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the free energy of dissolution for the compound CC and CN? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC\", \"CN\"], \"property_name\": \"freesolv\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the Gibbs free energy associated with the dissolution process of the compound COc1ccccc1O and CCOCC? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"COc1... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the value of free energy for the dissolution of the molecule c1ccc(c(c1)O)F and CCCCCCI? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"c1ccc(c(c1)O)F\"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Evaluate the Gibbs free energy change when the drug CCC[C@@H](C)O and CCCC(C)C dissolves. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCC[C@@H](C)O\", \"CCCC... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the dissolution free energy for the molecule CCCCCCCCC=O and c1ccc2c(c1)cccc2O at standard conditions. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the change in free energy as the molecule CN(C)CCOC(c1ccccc1)c2ccccc2 and CCCCCC=C dissolves in solution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": ... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the Gibbs free energy at equilibrium for the drug CCCCI and C(F)Cl's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCCI\", \"C(F)Cl\"], \... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Assess the free energy of the compound CC(=O)C1CCCCC1 and CC(C)CCOC=O's dissolution process. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CC(=O)C1CCCCC1\", \"... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the free energy of the dissolution reaction for the drug CCCC(=C)C and CCSSCC. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCCC(=C)C\", \"CCSSCC\"]... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the thermodynamic free energy change for the molecule CCC(C)(C)O and c1ccc2c(c1)C(=O)c3c(ccc(c3C2=O)O)N's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"dru... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the thermodynamic free energy of the compound Cc1ccc(c(c1)C)C and CC(C)(C)c1ccc(cc1)O's dissolution. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"Cc... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "How much free energy is absorbed during the molecule C1CCC=CC1 and c1ccnc(c1)Cl's dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"C1CCC=CC1\", \"c1c... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Assess the free energy involved in dissolving the molecule CCN(CC)c1c(cc(c(c1[N+](=O)[O-])N)C(F)(F)F)[N+](=O)[O-] and CCCOC. MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_s... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the equilibrium free energy change for the drug CCC(=O)O and CCCCC(=O)C dissolution? MemoryPool(arguments=dict_keys([]))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": [\"CCC(=O)O\", \"CCCCC(... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the thermodynamic free energy of the drug's dissolution process. MemoryPool(arguments=dict_keys(['user_smiles']))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": \"(user_smiles)\", \"propert... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the energy change in the dissolution of the molecule. MemoryPool(arguments=dict_keys(['user_smiles']))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": \"(user_smiles)\", \"property_name\": \... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "What is the thermodynamic change in free energy during the drug dissolution? MemoryPool(arguments=dict_keys(['user_smiles']))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": \"(user_smiles)\", \"prope... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Determine the thermodynamic free energy of the compound's dissolution. MemoryPool(arguments=dict_keys(['user_smiles']))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": \"(user_smiles)\", \"property_na... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the enthalpy and entropy changes for the drug dissolution. MemoryPool(arguments=dict_keys(['user_smiles']))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": \"(user_smiles)\", \"property_name\... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Calculate the dissolution free energy for the compound. MemoryPool(arguments=dict_keys(['user_smiles']))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": \"(user_smiles)\", \"property_name\": \"freesol... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
[
{
"from": "human",
"value": "Estimate the change in Gibbs free energy for the drug's dissolution. MemoryPool(arguments=dict_keys(['user_smiles']))"
},
{
"from": "function_call",
"value": "{\"name\": \"drug_property_prediction\", \"arguments\": {\"drug_smiles\": \"(user_smiles)\", \"property_name... | You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments ... | [{"name": "drug_property_prediction", "description": "Predict properties of drugs based on SMILES", "parameters": {"type": "object", "properties": {"drug_smiles": {"type": "array", "items": {"type": "string"}, "description": "Drug smile"}, "property_name": {"type": "string", "description": "Task name, actually reffered... |
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