state listlengths 2 52 | action dict | next_obs listlengths 2 2 | state_len int64 874 5.86k | temperature float64 1 1 | reward float64 0.08 1 | done bool 2
classes | truncated bool 1
class | timestep int64 0 25 | try_step int64 0 0 | batch_id int64 60 60 | unique_data_sample_id int64 0 31 | generation_id int64 0 0 | split stringclasses 1
value | return_ float64 0.08 1 | advantage float64 0 0 | 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 0.08 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 out which tables are available for Tesla to identify if there's a table related to financial statements or tax assets. Once I have the relevant table, I can explore its structure to check for information about valuation allowance for deferred tax assets.\n\n<tool_call>\n{\"name\": \"get_d... | [
{
"content": "[\"us_gaap_DebtInstrumentRedemptionTableTextBlock\", \"us_gaap_ScheduleOfComponentsOfIncomeTaxExpenseBenefitTableTextBlock\", \"sla_ScheduleOfAccruedLiabilitiesAndOtherCurrentLiabilitiesTableTextBlock\", \"us_gaap_LesseeOperatingLeaseLiabilityMaturityTableTextBlock\", \"us_gaap_ScheduleOfDeferredT... | 891 | 1 | 0.833753 | false | false | 0 | 0 | 60 | 0 | 0 | train_all | 0.833753 | 0 | 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... | 0.833753 | 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 need to check its structure to see if it includes a column for valuation allowance or related information.\n\n<to... | [
{
"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\",\"... | 1,501 | 1 | 1 | false | false | 1 | 0 | 60 | 0 | 0 | train_all | 1 | 0 | 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 specific values related to the valuation allowance and deferred tax assets from the table. The query will fetch the relevant data points for December 31, 2024, including the total deferred tax assets, valuation allowance, and net deferred tax assets after valuation allowance. This will... | [
{
"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... | 1,348 | 1 | 0.613763 | false | false | 2 | 0 | 60 | 0 | 0 | train_all | 0.613763 | 0 | 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... | 0.613763 | 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 compare the valuation allowance for December 31, 2024, with the previous year (2023) to understand if there's a trend or change in management's assessment of future tax benefits. This will help determine whether the company's outlook on future tax benefits has improved or deteriorated.\n\n<too... | [
{
"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{\... | 1,411 | 1 | 0.973654 | false | false | 3 | 0 | 60 | 0 | 0 | train_all | 0.973654 | 0 | 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... | 0.973654 | 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 values from the query for 2024 are not yet available, so I will first determine the valuation allowance and total deferred tax assets. Then, I will compute the percenta... | [
{
"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"
}
] | 1,558 | 1 | 0.15988 | false | false | 4 | 0 | 60 | 0 | 0 | train_all | 0.15988 | 0 | 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... | 0.15988 | 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 2023 to 2024. The difference between the 2024 and 2023 valuation allowance values will be used to determine if management's assessment of future tax benefits has improved or deteriorated. This calculation will provide insight into... | [
{
"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"
}
] | 1,697 | 1 | 0.615013 | false | false | 5 | 0 | 60 | 0 | 0 | train_all | 0.615013 | 0 | 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... | 0.615013 | 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 values from the query for 2024 are not yet available, so I will first determine the valuation allowance and total deferred tax assets. Then, I will compute the percenta... | [
{
"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... | 1,827 | 1 | 0.420032 | false | false | 6 | 0 | 60 | 0 | 0 | train_all | 0.420032 | 0 | 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... | 0.420032 | 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 gathered the necessary data and calculations to answer the user's question. The valuation allowance for Tesla as of December 31, 2024, is $1,224 million, which is approximately 10.2% of total deferred tax assets. This represents a significant portion but not a dominant one, indicating that most d... | [
{
"content": "",
"role": "assistant"
},
{
"content": "",
"role": "assistant"
}
] | 1,989 | 1 | 0.139533 | true | false | 7 | 0 | 60 | 0 | 0 | train_all | 0.139533 | 0 | 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... | 0.139533 | 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 out about Meta's lease financing strategy between 2022 and 2024. First, I should get a list of possible tables related to Meta that might contain financial or leasing data. This will help me identify which table(s) might contain information about lease financing and time-based financial s... | [
{
"content": "[\"srt_ContractualObligationFiscalYearMaturityScheduleTableTextBlock\", \"us_gaap_ScheduleOfComponentsOfIncomeTaxExpenseBenefitTableTextBlock\", \"us_gaap_LesseeOperatingLeaseLiabilityMaturityTableTextBlock\", \"us_gaap_ScheduleOfDeferredTaxAssetsAndLiabilitiesTableTextBlock\", \"us_gaap_ScheduleO... | 884 | 1 | 1 | false | false | 0 | 0 | 60 | 1 | 0 | train_all | 1 | 0 | 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 \"meta_LeaseBalanceSheetInformationTableTextBlock\" is likely to contain balance sheet information related to leases, which might include financial obligations and balances over time. I will retrieve its metadata to understand the structure and available columns, especially those that might re... | [
{
"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... | 1,420 | 1 | 1 | false | false | 1 | 0 | 60 | 1 | 0 | train_all | 1 | 0 | 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 metadata showing relevant columns for lease type and years (2023 and 2024). I will query the table to get the actual data points on lease liabilities, lease types, and their respective values for 2023 and 2024. This will allow me to compare 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... | 1,271 | 1 | 0.796831 | false | false | 2 | 0 | 60 | 1 | 0 | train_all | 0.796831 | 0 | 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... | 0.796831 | 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 because it lacked filters. I now refine the query to focus on a specific item—'weighted_average_remaining_lease_term'—which is relevant to lease financing strategy. By filtering on this specific data point, I can analyze how the weighted average lease term has changed from... | [
{
"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"
}... | 1,293 | 1 | 0.998458 | false | false | 3 | 0 | 60 | 1 | 0 | train_all | 0.998458 | 0 | 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... | 0.998458 | 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 gain a more complete picture of Meta's lease financing strategy, I now examine the weighted average discount rate for both finance and operating leases. This metric reflects the cost of capital and can indicate whether Meta is favoring long-term debt (finance leases) or operational flexibility (opera... | [
{
"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{\"... | 1,531 | 1 | 1 | false | false | 4 | 0 | 60 | 1 | 0 | train_all | 1 | 0 | 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 data on weighted average discount rates shows a slight increase in both finance and operating leases, but I need to understand the broader financial context. I will now check another relevant table, \"meta_LeaseCashFlowsInformationTableTextBlock\", to see if there are changes in cash flows or lease ... | [
{
"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... | 1,695 | 1 | 1 | false | false | 5 | 0 | 60 | 1 | 0 | train_all | 1 | 0 | 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 detailed information about lease-related cash flows, including payments for lease liabilities. By focusing on the specific line item related to cash paid for lease liabilities, I can assess how Meta's lease financing strategy has evolved in terms of cash outflows. This will help determine whe... | [
{
"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... | 1,932 | 1 | 0.826917 | false | false | 6 | 0 | 60 | 1 | 0 | train_all | 0.826917 | 0 | 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... | 0.826917 | 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 query for cash paid for lease liabilities returned empty results, which might indicate that the data is not directly available or is structured differently. I will now check the operating cash flows for operating leases, which might provide insights into Meta's operational financial behavior and cap... | [
{
"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... | 1,987 | 1 | 0.777777 | false | false | 7 | 0 | 60 | 1 | 0 | train_all | 0.777777 | 0 | 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... | 0.777777 | 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 operating cash flows for operating leases, which shows a consistent increase from $1,654 in 2022 to $2,830 in 2024. To provide a complete analysis, I need to examine operating cash flows for finance leases as well, as this will help determine if Meta is shifting capital toward long-te... | [
{
"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... | 2,184 | 1 | 0.898223 | false | false | 8 | 0 | 60 | 1 | 0 | train_all | 0.898223 | 0 | 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... | 0.898223 | 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 cash flows for finance leases, which show a slight increase from $16 in 2022 to $23 in 2024. To fully understand Meta's capital allocation strategy, I need to examine financing cash flows specifically for finance leases. This will provide insight into whether Meta is increasing ... | [
{
"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... | 2,373 | 1 | 1 | false | false | 9 | 0 | 60 | 1 | 0 | train_all | 1 | 0 | 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, showing a significant increase from $850 in 2022 to $1,969 in 2024. This indicates a substantial shift toward long-term financial commitments. To complete the analysis, I will check the operating leases data to see if there are any trends in operat... | [
{
"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... | 2,576 | 1 | 0.864721 | false | false | 10 | 0 | 60 | 1 | 0 | train_all | 0.864721 | 0 | 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... | 0.864721 | 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 operating lease payments show a slight decrease from $4,366 in 2022 to $3,784 in 2024, indicating a reduction in operational lease commitments. I now need to check the financing cash flows for finance leases to see if there is a significant increase in long-term financial commitments. This will help... | [
{
"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>",
... | 2,764 | 1 | 0.8812 | false | false | 11 | 0 | 60 | 1 | 0 | train_all | 0.8812 | 0 | 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... | 0.8812 | 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 data on financing cash flows for finance leases shows a significant increase from $223 in 2022 to $181 in 2024, which contradicts my earlier observation. This inconsistency suggests a possible error in data interpretation or retrieval. To ensure accuracy, I will check the metadata of another relevan... | [
{
"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\",\... | 2,938 | 1 | 1 | false | false | 12 | 0 | 60 | 1 | 0 | train_all | 1 | 0 | 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-mc=1-gs=8-bs=8-lr=4e_05-ns=4-s=1-r=finqa_aprm_1_mc - 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_1_mc --verbose --seed 1 --max_seq_len 4096 --mean_center - batch_idx:
60 - split:
train_all - trajectory_key:
think_act_policy - num_trajectories:
508 - num_episodes:
508 - group_size:
8 - batch_size:
8
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