state listlengths 2 52 | action dict | next_obs listlengths 2 2 | state_len int64 874 5.2k | temperature float64 1 1 | reward float64 0.07 1 | done bool 2
classes | truncated bool 1
class | timestep int64 0 25 | try_step int64 0 0 | batch_id int64 99 99 | unique_data_sample_id int64 0 31 | generation_id int64 0 0 | split stringclasses 1
value | return_ float64 0.07 1 | advantage float64 0.07 1 | return_is_computed bool 1
class | advantage_is_computed bool 1
class | constant_reward_group bool 1
class | tools listlengths 5 5 | action_prob float64 0.07 1 | system_prompt null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to find the relevant table that contains information about Tesla's valuation allowance for deferred tax assets. First, I'll retrieve a list of available tables for Tesla to identify which one might contain financial statements or tax-related data.\n\n<tool_call>\n{\"name\": \"get_descriptions\", ... | [
{
"content": "[\"us_gaap_DebtInstrumentRedemptionTableTextBlock\", \"us_gaap_ScheduleOfComponentsOfIncomeTaxExpenseBenefitTableTextBlock\", \"sla_ScheduleOfAccruedLiabilitiesAndOtherCurrentLiabilitiesTableTextBlock\", \"us_gaap_LesseeOperatingLeaseLiabilityMaturityTableTextBlock\", \"us_gaap_ScheduleOfDeferredT... | 891 | 1 | 1 | false | false | 0 | 0 | 99 | 0 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The table \"us_gaap_ScheduleOfDeferredTaxAssetsAndLiabilitiesTableTextBlock\" is likely to contain information about deferred tax assets and liabilities, including any valuation allowance. I will retrieve the metadata for this table to understand its structure and identify relevant columns such as \"Val... | [
{
"content": "{\"description\": \"deferred_tax_assets_liabilities_as_of_december_31_2024_and_2023_consisted_of_the_following_in_millions\",\"column_names\": [\"item\",\"december_31_2024\",\"december_31_2023\"],\"unique_vals_per_col\": {\"item\": [\"deferred_tax_assets:\",\"net_operating_loss_carry_forwards\",\"... | 1,496 | 1 | 1 | false | false | 1 | 0 | 99 | 0 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to extract the specific values for the valuation allowance and related deferred tax assets from the table. By querying the relevant items, I can get the exact figures for December 31, 2024, to assess the significance of the valuation allowance and understand management's view on future tax benefi... | [
{
"content": "[{\"item\":\"total_deferred_tax_assets\",\"december_31_2024\":\"$11,962\"},{\"item\":\"valuation_allowance\",\"december_31_2024\":\"($1,224)\"},{\"item\":\"deferred_tax_assets_net_of_valuation_allowance\",\"december_31_2024\":\"$10,738\"},{\"item\":\"deferred_tax_assets_liabilities_net_of_valuatio... | 1,351 | 1 | 0.619077 | false | false | 2 | 0 | 99 | 0 | 0 | train_all | 0.619077 | 0.619077 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.619077 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "To better understand the trend and management's assessment, I need to compare the valuation allowance with historical data from December 31, 2023. This will help determine if the valuation allowance has increased or decreased over time and what that might suggest about management's confidence in future ... | [
{
"content": "[{\"item\":\"total_deferred_tax_assets\",\"december_31_2023\":\"$10,774\"},{\"item\":\"valuation_allowance\",\"december_31_2023\":\"($892)\"},{\"item\":\"deferred_tax_assets_net_of_valuation_allowance\",\"december_31_2023\":\"$9,882\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\... | 1,407 | 1 | 0.953773 | false | false | 3 | 0 | 99 | 0 | 0 | train_all | 0.953773 | 0.953773 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.953773 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to calculate the significance of the valuation allowance as a percentage of total deferred tax assets for December 31, 2024. The expression (1224 / 11962) * 100 will give me this percentage. This will help quantify how substantial the valuation allowance is relative to the total deferred tax asse... | [
{
"content": "[10.23240260825949, \"Calculated: (1224/11962) * 100 = 10.23240260825949\"]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"calculator\", \"arguments\": {\"expression\": \"((1224-892)/892) * 100\"}}\n</tool_call>",
"role": "assistant"
}
] | 1,548 | 1 | 0.354205 | false | false | 4 | 0 | 99 | 0 | 0 | train_all | 0.354205 | 0.354205 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.354205 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to calculate the percentage change in the valuation allowance from December 31, 2023 to December 31, 2024. The expression ((1224 - 892) / 892) * 100 will give me this percentage change. This will help determine if the valuation allowance has increased, which could indicate a more cautious outlook... | [
{
"content": "[37.219730941704036, \"Calculated: ((1224-892)/892) * 100 = 37.219730941704036\"]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"calculator\", \"arguments\": {\"expression\": \"(1224/10738) * 100\"}}\n</tool_call>",
"role": "assistant"
}
] | 1,644 | 1 | 0.778801 | false | false | 5 | 0 | 99 | 0 | 0 | train_all | 0.778801 | 0.778801 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.778801 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to calculate the valuation allowance as a percentage of total deferred tax assets for December 31, 2023 to provide a comparative perspective. The expression (1224 / 10738) * 100 will give me this percentage. This will help determine if the valuation allowance has become more significant over time... | [
{
"content": "[11.398770720804619, \"Calculated: (1224/10738) * 100 = 11.398770720804619\"]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"respond_user\", \"arguments\": {\"text\": \"As of December 31, 2024 Tesla reported total deferred tax assets of $11,962 million and a valuation allo... | 1,788 | 1 | 1 | false | false | 6 | 0 | 99 | 0 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I have collected all the necessary data points: the valuation allowance amount, total deferred tax assets for 2024 and 2023, and the percentage of the total assets that the valuation allowance represents. I've also calculated the percentage increase in the allowance. I now have enough information to pro... | [
{
"content": "",
"role": "assistant"
},
{
"content": "",
"role": "assistant"
}
] | 1,913 | 1 | 0.138651 | true | false | 7 | 0 | 99 | 0 | 0 | train_all | 0.138651 | 0.138651 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.138651 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to understand the available tables related to Meta's financial data to identify which ones might contain information about lease financing and capital allocation. The descriptions will help me determine relevant tables such as lease agreements, financial statements, or capital expenditures.\n\n<t... | [
{
"content": "[\"srt_ContractualObligationFiscalYearMaturityScheduleTableTextBlock\", \"us_gaap_ScheduleOfComponentsOfIncomeTaxExpenseBenefitTableTextBlock\", \"us_gaap_LesseeOperatingLeaseLiabilityMaturityTableTextBlock\", \"us_gaap_ScheduleOfDeferredTaxAssetsAndLiabilitiesTableTextBlock\", \"us_gaap_ScheduleO... | 884 | 1 | 1 | false | false | 0 | 0 | 99 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The \"meta_LeaseBalanceSheetInformationTableTextBlock\" table is likely to contain key lease financing data such as lease liabilities and right-of-use assets. I will examine its structure to understand the available columns and how they might represent lease financing over time.\n\n<tool_call>\n{\"name\... | [
{
"content": "{\"description\": \"supplemental_balance_sheet_information_related_to_lease_liabilities\",\"column_names\": [\"item\",\"lease_type\",\"2024\",\"2023\"],\"unique_vals_per_col\": {\"item\": [\"weighted_average_remaining_lease_term\",\"weighted_average_discount_rate\"],\"lease_type\": [\"finance_leas... | 1,401 | 1 | 1 | false | false | 1 | 0 | 99 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have the table structure and can extract the actual data on lease financing for both 2023 and 2024. This will allow me to compare key metrics such as the weighted average remaining lease term and discount rate across different lease types to analyze how Meta's lease financing strategy has evolved.... | [
{
"content": "Error: You are trying to query without any kind of filters, which is not allowed!",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseBalanceSheetInformationTableTextBlock\", \"query\": \"SELEC... | 1,232 | 1 | 0.70444 | false | false | 2 | 0 | 99 | 1 | 0 | train_all | 0.70444 | 0.70444 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.70444 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The initial query was rejected due to attempting to retrieve all data without filters. I now refine the query to focus specifically on the \"weighted_average_remaining_lease_term\" metric, which is relevant for understanding lease financing evolution. This targeted query will extract data for 2023 and 2... | [
{
"content": "[{\"item\":\"weighted_average_remaining_lease_term\",\"lease_type\":\"finance_leases\",\"2024\":\"13.7 years\",\"2023\":\"14.0 years\"},{\"item\":\"weighted_average_remaining_lease_term\",\"lease_type\":\"operating_leases\",\"2024\":\"11.5 years\",\"2023\":\"11.6 years\"}]",
"role": "tool"
}... | 1,234 | 1 | 0.908756 | false | false | 3 | 0 | 99 | 1 | 0 | train_all | 0.908756 | 0.908756 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.908756 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "To fully understand Meta's capital allocation preferences, I need to examine the weighted average discount rate for both finance and operating leases. This metric provides insight into the cost of capital associated with leasing activities, which can indicate strategic decisions about financing versus o... | [
{
"content": "[{\"item\":\"weighted_average_discount_rate\",\"lease_type\":\"finance_leases\",\"2024\":\"3.6%\",\"2023\":\"3.4%\"},{\"item\":\"weighted_average_discount_rate\",\"lease_type\":\"operating_leases\",\"2024\":\"3.9%\",\"2023\":\"3.7%\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"... | 1,467 | 1 | 1 | false | false | 4 | 0 | 99 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have data on discount rates for both finance and operating leases. To gain a more comprehensive view of Meta's lease financing strategy, I should check if there are additional tables that might contain information on lease cash flows, which could provide further context on capital allocation prefe... | [
{
"content": "{\"description\": \"supplemental_cash_flow_information_related_to_leases_is_as_follows_(in_millions):\",\"column_names\": [\"line_item\",\"2024\",\"2023\",\"2022\"],\"unique_vals_per_col\": {\"line_item\": [\"cash_paid_for_amounts_included_in_the_measurement_of_lease_liabilities:\",\"operating_cas... | 1,620 | 1 | 0.689554 | false | false | 5 | 0 | 99 | 1 | 0 | train_all | 0.689554 | 0.689554 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.689554 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have a comprehensive view of Meta's lease financing strategy by examining both balance sheet metrics (weighted average lease term and discount rate) and cash flow data. The cash flow information will provide insight into actual lease-related expenditures, which complements the balance sheet analys... | [
{
"content": "[{\"line_item\":\"cash_paid_for_amounts_included_in_the_measurement_of_lease_liabilities:\",\"2024\":\"\",\"2023\":\"\",\"2022\":\"\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashF... | 1,827 | 1 | 0.787793 | false | false | 6 | 0 | 99 | 1 | 0 | train_all | 0.787793 | 0.787793 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.787793 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The previous query returned empty results, possibly due to a mismatch in line_item filtering. I now specifically query for operating cash flows related to operating leases to get actual cash outflows. This will help assess Meta's capital allocation preferences by showing how they manage operating lease ... | [
{
"content": "[{\"line_item\":\"operating_cash_flows_for_operating_leases(1)\",\"2024\":\"$2,830\",\"2023\":\"$2,233\",\"2022\":\"$1,654\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInfor... | 1,884 | 1 | 0.777265 | false | false | 7 | 0 | 99 | 1 | 0 | train_all | 0.777265 | 0.777265 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.777265 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have operating cash flows for operating leases, but to fully understand Meta's capital allocation, I need to also examine cash flows for finance leases. This will provide a complete picture of their lease financing strategy and help determine if they are favoring operating or finance leases, which... | [
{
"content": "[{\"line_item\":\"operating_cash_flows_for_finance_leases\",\"2024\":\"$23\",\"2023\":\"$20\",\"2022\":\"$16\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInformationTableTex... | 2,066 | 1 | 0.899444 | false | false | 8 | 0 | 99 | 1 | 0 | train_all | 0.899444 | 0.899444 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.899444 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have operating cash flows for finance leases, but I still need to retrieve the financing cash flows specifically for finance leases to fully understand Meta's lease financing strategy. This data will show the actual cash flows related to financing lease obligations, which is essential for analyzin... | [
{
"content": "[{\"line_item\":\"financing_cash_flows_for_finance_leases\",\"2024\":\"$1,969\",\"2023\":\"$1,058\",\"2022\":\"$850\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInformationT... | 2,222 | 1 | 1 | false | false | 9 | 0 | 99 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have the financing cash flows for finance leases, but I still need to understand the operating lease cash flows to get a complete picture of Meta's capital allocation. The operating lease cash flows will show how much they are spending on operating leases, which is crucial for determining their st... | [
{
"content": "[{\"line_item\":\"operating_leases\",\"2024\":\"$3,784\",\"2023\":\"$4,370\",\"2022\":\"$4,366\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInformationTableTextBlock\", \"qu... | 2,391 | 1 | 0.789056 | false | false | 10 | 0 | 99 | 1 | 0 | train_all | 0.789056 | 0.789056 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.789056 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have the operating lease cash flows for the years 2022, 2023, and 2024. To complete the analysis, I need to retrieve the cash flows specifically for finance leases, which will allow me to compare the actual financial outflows between operating and finance leases. This will provide a comprehensive ... | [
{
"content": "[{\"line_item\":\"finance_leases\",\"2024\":\"$181\",\"2023\":\"$588\",\"2022\":\"$223\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"get_table_info\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"us_gaap_LeaseCostTableTextBlock\"}}\n</tool_call>",
... | 2,556 | 1 | 0.965321 | false | false | 11 | 0 | 99 | 1 | 0 | train_all | 0.965321 | 0.965321 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.965321 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have the cash flows for finance leases, but I need to verify if there are additional tables that might contain more detailed lease cost information. The \"us_gaap_LeaseCostTableTextBlock\" table might contain further details about lease costs that could provide deeper insight into Meta's capital a... | [
{
"content": "{\"description\": \"the_components_of_lease_costs_are_as_follows_(in_millions):\",\"column_names\": [\"component\",\"2024\",\"2023\",\"2022\"],\"unique_vals_per_col\": {\"component\": [\"amortization_of_right_of_use_assets\",\"interest\",\"operating_lease_cost\",\"variable_lease_cost_and_other\",\... | 2,727 | 1 | 1 | false | false | 12 | 0 | 99 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
End of preview. Expand in Data Studio
Act-PRM Rollout Dataset
Run Metadata
- run_name:
act-prm-v2-ia=0-rr=0-ec=act_prm_finqa_reasoning_gpt5m-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-msl=4096-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=0-ao=1-ho=1-eec=finqa_reasoning-gs=8-bs=8-lr=4e_05-ns=4-s=1-r=finqa_aprm_0 - run_cmd:
main_pytorch.py --env_config act_prm/finqa_reasoning_gpt5m --eval_env_config finqa/reasoning --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config aprm_qwen3_ap --trainer_config aprm_for_sft100 --replay_buffer_config default --log_path ./logs --actions_only --hide_observations --batch_size 8 --group_size 8 --learning_rate 4e-5 --num_substeps 4 --seed 0 --replicate finqa_aprm_0 --verbose --seed 1 --max_seq_len 4096 - batch_idx:
99 - split:
train_all - trajectory_key:
think_act_policy - num_trajectories:
508 - num_episodes:
508 - group_size:
8 - batch_size:
8
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