task_id stringlengths 10 19 | domain stringclasses 2
values | level int64 1 3 | seed int64 0 2 | instruction stringlengths 267 1.01k | files unknown | oracle unknown | hidden_tests int64 0 29 |
|---|---|---|---|---|---|---|---|
sw_stats_fix-l1 | software engineering | 1 | 0 | `pytest tests/` fails for the `numutil` module in the current directory. Find and fix the bug in numutil.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the cause rather than special-casi... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | 29 |
sw_stats_fix-l1 | software engineering | 1 | 1 | `pytest tests/` fails for the `numutil` module in the current directory. Find and fix the bug in numutil.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the cause rather than special-casi... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | 29 |
sw_stats_fix-l1 | software engineering | 1 | 2 | `pytest tests/` fails for the `stats` module in the current directory. Find and fix the bug in stats.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the cause rather than special-casing t... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) // len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle value... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle values... | 29 |
sw_stats_fix-l2 | software engineering | 2 | 0 | A user reported a bug in the `stats` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix stats.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle values... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle values... | 29 |
sw_stats_fix-l2 | software engineering | 2 | 1 | A user reported a bug in the `numutil` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix numutil.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) // len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle val... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | 29 |
sw_stats_fix-l2 | software engineering | 2 | 2 | A user reported a bug in the `stats` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix stats.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle values... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle values... | 29 |
sw_stats_fix-l3 | software engineering | 3 | 0 | The `stats` module in the current directory has two bugs: `pytest tests/` fails, and ISSUE.md reports another problem. Fix both in stats.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix th... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle values... | {
"stats.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle values... | 29 |
sw_stats_fix-l3 | software engineering | 3 | 1 | The `numutil` module in the current directory has two bugs: `pytest tests/` fails, and ISSUE.md reports another problem. Fix both in numutil.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fi... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) // len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle val... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | 29 |
sw_stats_fix-l3 | software engineering | 3 | 2 | The `numutil` module in the current directory has two bugs: `pytest tests/` fails, and ISSUE.md reports another problem. Fix both in numutil.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fi... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | {
"numutil.py": "\"\"\"Small descriptive-statistics helpers used by the reporting jobs.\"\"\"\n\n\ndef mean(xs):\n \"\"\"Arithmetic mean of a non-empty list of numbers.\"\"\"\n return sum(xs) / len(xs)\n\n\ndef median(xs):\n \"\"\"Median of a non-empty list; for an even count, the mean of the two middle valu... | 29 |
sw_dates_fix-l1 | software engineering | 1 | 0 | `pytest tests/` fails for the `billing_dates` module in the current directory. Find and fix the bug in billing_dates.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the cause rather than ... | {
"billing_dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fro... | {
"billing_dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fro... | 25 |
sw_dates_fix-l1 | software engineering | 1 | 1 | `pytest tests/` fails for the `calendar_utils` module in the current directory. Find and fix the bug in calendar_utils.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the cause rather tha... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | 25 |
sw_dates_fix-l1 | software engineering | 1 | 2 | `pytest tests/` fails for the `calendar_utils` module in the current directory. Find and fix the bug in calendar_utils.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the cause rather tha... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | 25 |
sw_dates_fix-l2 | software engineering | 2 | 0 | A user reported a bug in the `dates` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix dates.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the... | {
"dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fromisoform... | {
"dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fromisoform... | 25 |
sw_dates_fix-l2 | software engineering | 2 | 1 | A user reported a bug in the `calendar_utils` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix calendar_utils.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every fu... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | 25 |
sw_dates_fix-l2 | software engineering | 2 | 2 | A user reported a bug in the `calendar_utils` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix calendar_utils.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every fu... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | 25 |
sw_dates_fix-l3 | software engineering | 3 | 0 | The `billing_dates` module in the current directory has two bugs: `pytest tests/` fails, and ISSUE.md reports another problem. Fix both in billing_dates.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every fun... | {
"billing_dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fro... | {
"billing_dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fro... | 25 |
sw_dates_fix-l3 | software engineering | 3 | 1 | The `billing_dates` module in the current directory has two bugs: `pytest tests/` fails, and ISSUE.md reports another problem. Fix both in billing_dates.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every fun... | {
"billing_dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fro... | {
"billing_dates.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fro... | 25 |
sw_dates_fix-l3 | software engineering | 3 | 2 | The `calendar_utils` module in the current directory has two bugs: `pytest tests/` fails, and ISSUE.md reports another problem. Fix both in calendar_utils.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every f... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | {
"calendar_utils.py": "\"\"\"Date helpers for invoicing. Dates are ISO strings (YYYY-MM-DD).\"\"\"\n\nimport calendar\nfrom datetime import date, timedelta\n\n\ndef add_months(day, n):\n \"\"\"Same day-of-month n months later (n may be negative), clamped to the last day of the target month.\"\"\"\n d = date.fr... | 25 |
sw_report_fix-l1 | software engineering | 1 | 0 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | 3 |
sw_report_fix-l1 | software engineering | 1 | 1 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | 3 |
sw_report_fix-l1 | software engineering | 1 | 2 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | 3 |
sw_report_fix-l2 | software engineering | 2 | 0 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | 3 |
sw_report_fix-l2 | software engineering | 2 | 1 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | 3 |
sw_report_fix-l2 | software engineering | 2 | 2 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | 3 |
sw_report_fix-l3 | software engineering | 3 | 0 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md and NOTICE.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n if row.get(\"statu... | 3 |
sw_report_fix-l3 | software engineering | 3 | 1 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md and NOTICE.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n if row.get(\"statu... | 3 |
sw_report_fix-l3 | software engineering | 3 | 2 | report.py in the current directory produces out/summary.csv from transactions.csv, but the numbers are wrong. Fix report.py so it follows README.md and NOTICE.md, then run it to regenerate out/summary.csv. Keep `build(in_path, out_path)`; hidden tests also call it on other inputs. | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n month = row[\"date... | {
"report.py": "\"\"\"Monthly net sales by category. See README.md for the expected output.\"\"\"\n\nimport csv\nimport os\nfrom decimal import Decimal\n\n\ndef build(in_path, out_path):\n groups = {}\n with open(in_path, newline=\"\") as f:\n for row in csv.DictReader(f):\n if row.get(\"statu... | 3 |
sw_logstats_impl-l1 | software engineering | 1 | 0 | Implement `summarize(path)` in access_summary.py in the current directory. The docstring at the top of access_summary.py is the specification; sample.log is an example input and tests/ has one example test. Keep the function name and signature. Hidden tests run summarize on other logs. | {
"access_summary.py": "\"\"\"Summarize request logs.\n\nEach line of a log looks like\n\n 2026-10-03T14:22:05Z level=INFO path=/api/orders status=200 ms=123\n\ni.e. an ISO timestamp ending in Z, then space-separated key=value fields. Blank lines are\nignored. Every non-blank line is a valid log line.\n\nsummarize... | {
"access_summary.py": "\"\"\"Summarize request logs.\n\nEach line of a log looks like\n\n 2026-10-03T14:22:05Z level=INFO path=/api/orders status=200 ms=123\n\ni.e. an ISO timestamp ending in Z, then space-separated key=value fields. Blank lines are\nignored. Every non-blank line is a valid log line.\n\nsummarize... | 4 |
sw_logstats_impl-l1 | software engineering | 1 | 1 | Implement `summarize(path)` in access_summary.py in the current directory. The docstring at the top of access_summary.py is the specification; sample.log is an example input and tests/ has one example test. Keep the function name and signature. Hidden tests run summarize on other logs. | {
"access_summary.py": "\"\"\"Summarize request logs.\n\nEach line of a log looks like\n\n 2026-10-03T14:22:05Z level=INFO path=/api/orders status=200 ms=123\n\ni.e. an ISO timestamp ending in Z, then space-separated key=value fields. Blank lines are\nignored. Every non-blank line is a valid log line.\n\nsummarize... | {
"access_summary.py": "\"\"\"Summarize request logs.\n\nEach line of a log looks like\n\n 2026-10-03T14:22:05Z level=INFO path=/api/orders status=200 ms=123\n\ni.e. an ISO timestamp ending in Z, then space-separated key=value fields. Blank lines are\nignored. Every non-blank line is a valid log line.\n\nsummarize... | 4 |
sw_logstats_impl-l1 | software engineering | 1 | 2 | Implement `summarize(path)` in logstats.py in the current directory. The docstring at the top of logstats.py is the specification; sample.log is an example input and tests/ has one example test. Keep the function name and signature. Hidden tests run summarize on other logs. | {
"logstats.py": "\"\"\"Summarize request logs.\n\nEach line of a log looks like\n\n 2026-10-03T14:22:05Z level=INFO path=/api/orders status=200 ms=123\n\ni.e. an ISO timestamp ending in Z, then space-separated key=value fields. Blank lines are\nignored. Every non-blank line is a valid log line.\n\nsummarize(path)... | {
"logstats.py": "\"\"\"Summarize request logs.\n\nEach line of a log looks like\n\n 2026-10-03T14:22:05Z level=INFO path=/api/orders status=200 ms=123\n\ni.e. an ISO timestamp ending in Z, then space-separated key=value fields. Blank lines are\nignored. Every non-blank line is a valid log line.\n\nsummarize(path)... | 4 |
sw_money_fix-l2 | software engineering | 2 | 0 | A user reported a bug in the `cents` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix cents.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the... | {
"cents.py": "\"\"\"Money helpers for the billing service. Amounts are integer cents.\"\"\"\n\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN\n\n\ndef parse_amount(text):\n \"\"\"Parse '$1,234.50', '1234.5', '-$3' or '(12.00)' (parentheses mean negative) into integer cents.\n More than two decimals rou... | {
"cents.py": "\"\"\"Money helpers for the billing service. Amounts are integer cents.\"\"\"\n\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN\n\n\ndef parse_amount(text):\n \"\"\"Parse '$1,234.50', '1234.5', '-$3' or '(12.00)' (parentheses mean negative) into integer cents.\n More than two decimals rou... | 28 |
sw_money_fix-l2 | software engineering | 2 | 1 | A user reported a bug in the `cents` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix cents.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the... | {
"cents.py": "\"\"\"Money helpers for the billing service. Amounts are integer cents.\"\"\"\n\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN\n\n\ndef parse_amount(text):\n \"\"\"Parse '$1,234.50', '1234.5', '-$3' or '(12.00)' (parentheses mean negative) into integer cents.\n More than two decimals rou... | {
"cents.py": "\"\"\"Money helpers for the billing service. Amounts are integer cents.\"\"\"\n\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN\n\n\ndef parse_amount(text):\n \"\"\"Parse '$1,234.50', '1234.5', '-$3' or '(12.00)' (parentheses mean negative) into integer cents.\n More than two decimals rou... | 28 |
sw_money_fix-l2 | software engineering | 2 | 2 | A user reported a bug in the `cents` module in the current directory (see ISSUE.md); the existing tests in tests/ still pass. Fix cents.py. Every function must behave exactly as its docstring describes. Keep the function names and signatures, and do not edit the tests. Hidden tests will check every function, so fix the... | {
"cents.py": "\"\"\"Money helpers for the billing service. Amounts are integer cents.\"\"\"\n\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN\n\n\ndef parse_amount(text):\n \"\"\"Parse '$1,234.50', '1234.5', '-$3' or '(12.00)' (parentheses mean negative) into integer cents.\n More than two decimals rou... | {
"cents.py": "\"\"\"Money helpers for the billing service. Amounts are integer cents.\"\"\"\n\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN\n\n\ndef parse_amount(text):\n \"\"\"Parse '$1,234.50', '1234.5', '-$3' or '(12.00)' (parentheses mean negative) into integer cents.\n More than two decimals rou... | 28 |
bank_recon-l3 | finance and economics | 3 | 0 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-09,DEP419,DEPOSIT,1984.42\n2025-08-22,DEP335,DEPOSIT,14022.33\n2025-08-22,DEP860,DEPOSIT,9018.69\n2025-08-26,CHK2278,CHECK 2278,-2119.59\n2025-08-31,BNK541,INTEREST,24.29\n2025-08-31,BNK742,NSF RETURN,-2243.14\n2025-08-31,BNK970,SVC FEE,-46.72\n2025-09... | {
"answer.json": "{\"adjusted_balance\": 105520.15, \"outstanding_checks\": [], \"deposits_in_transit\": 10657.81, \"book_adjustments\": [\"BNK541\", \"BNK742\", \"BNK970\"]}"
} | 0 |
bank_recon-l3 | finance and economics | 3 | 1 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-07,CHK2699,CHECK 2699,-152.08\n2025-08-10,DEP540,DEPOSIT,9752.28\n2025-08-10,DEP864,DEPOSIT,11329.77\n2025-08-11,CHK2701,CHECK 2701,-4507.19\n2025-08-12,CHK2700,CHECK 2700,-913.29\n2025-08-28,DEP112,DEPOSIT,4023.4\n2025-08-29,DEP611,DEPOSIT,8503.07\n20... | {
"answer.json": "{\"adjusted_balance\": 111371.21, \"outstanding_checks\": [\"CHK2698\"], \"deposits_in_transit\": 7299.51, \"book_adjustments\": [\"BNK130\", \"BNK191\", \"BNK362\"]}"
} | 0 |
bank_recon-l3 | finance and economics | 3 | 2 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-06,DEP547,DEPOSIT,10650.29\n2025-08-06,DEP705,DEPOSIT,4374.58\n2025-08-11,CHK3833,CHECK 3833,-3664.56\n2025-08-15,DEP450,DEPOSIT,9598.03\n2025-08-25,DEP998,DEPOSIT,14152.76\n2025-08-27,DEP108,DEPOSIT,5719.13\n2025-08-29,CHK3831,CHECK 3831,-7167.54\n202... | {
"answer.json": "{\"adjusted_balance\": 65276.14, \"outstanding_checks\": [\"CHK3834\"], \"deposits_in_transit\": 0.0, \"book_adjustments\": [\"BNK221\", \"BNK280\", \"BNK872\"]}"
} | 0 |
bond_price-l3 | finance and economics | 3 | 0 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS4463186129\",\n \"coupon_pct\": 7.0,\n \"coupons_per_year\": 1,\n \"maturity\": \"2028-07-15\",\n \"settlement\": \"2025-09-29\",\n \"yield_pct\": 8.707,\n \"face_holding\": 25000\n}\n",
"notice_trade_correction.txt": "Trade correction: the settlement date in bond.json is wrong. Th... | {
"answer.json": "{\"dirty_price\": 97.0087, \"clean_price\": 95.532, \"accrued_interest\": 369.18}"
} | 0 |
bond_price-l3 | finance and economics | 3 | 1 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS4167896121\",\n \"coupon_pct\": 3.75,\n \"coupons_per_year\": 2,\n \"maturity\": \"2035-12-15\",\n \"settlement\": \"2025-10-25\",\n \"yield_pct\": 4.031,\n \"face_holding\": 10000\n}\n",
"notice_trade_correction.txt": "Trade correction: the settlement date in bond.json is wrong. T... | {
"answer.json": "{\"dirty_price\": 96.6552, \"clean_price\": 95.272, \"accrued_interest\": 138.32}"
} | 0 |
bond_price-l3 | finance and economics | 3 | 2 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS6331512191\",\n \"coupon_pct\": 3.0,\n \"coupons_per_year\": 1,\n \"maturity\": \"2028-08-15\",\n \"settlement\": \"2025-08-13\",\n \"yield_pct\": 3.198,\n \"face_holding\": 25000\n}\n",
"notice_trade_correction.txt": "Trade correction: the settlement date in bond.json is wrong. Th... | {
"answer.json": "{\"dirty_price\": 102.9973, \"clean_price\": 100.0055, \"accrued_interest\": 747.95}"
} | 0 |
cap_table-l3 | finance and economics | 3 | 0 | Close the Series A in term_sheet.json. Pre-money fully diluted shares S = all shares in cap_table.csv (common plus all options, granted and unallocated), excluding SAFE conversion shares. price_per_share = pre_money_valuation / S, rounded half-up to 4 dp. new_investor_shares = floor(investment / price_per_share). Each ... | {
"cap_table.csv": "holder,class,shares\nFounder A,common,4221000\nFounder B,common,1942000\nFounder C,common,4014000\nEmployees (granted),options,999000\nUnallocated pool,options,656000\nAngel,common,364000\n",
"term_sheet.json": "{\n \"round\": \"Series A\",\n \"pre_money_valuation\": 12000000,\n \"investment\": ... | {
"answer.json": "{\"price_per_share\": 0.9839, \"new_investor_shares\": 9147271, \"founders_pct\": 45.86, \"safe_shares\": 846979}"
} | 0 |
cap_table-l3 | finance and economics | 3 | 1 | Close the Series A in term_sheet.json. Pre-money fully diluted shares S = all shares in cap_table.csv (common plus all options, granted and unallocated), excluding SAFE conversion shares. price_per_share = pre_money_valuation / S, rounded half-up to 4 dp. new_investor_shares = floor(investment / price_per_share). Each ... | {
"cap_table.csv": "holder,class,shares\nFounder A,common,2185000\nFounder B,common,3767000\nFounder C,common,2307000\nEmployees (granted),options,858000\nUnallocated pool,options,695000\nAngel,common,94000\n",
"term_sheet.json": "{\n \"round\": \"Series A\",\n \"pre_money_valuation\": 37000000,\n \"investment\": 1... | {
"answer.json": "{\"price_per_share\": 3.7351, \"new_investor_shares\": 4551417, \"founders_pct\": 52.72, \"safe_shares\": 1207425}"
} | 0 |
cap_table-l3 | finance and economics | 3 | 2 | Close the Series A in term_sheet.json. Pre-money fully diluted shares S = all shares in cap_table.csv (common plus all options, granted and unallocated), excluding SAFE conversion shares. price_per_share = pre_money_valuation / S, rounded half-up to 4 dp. new_investor_shares = floor(investment / price_per_share). Each ... | {
"cap_table.csv": "holder,class,shares\nFounder A,common,4520000\nFounder B,common,1997000\nFounder C,common,1702000\nEmployees (granted),options,439000\nUnallocated pool,options,116000\nAngel,common,377000\n",
"term_sheet.json": "{\n \"round\": \"Series A\",\n \"pre_money_valuation\": 12000000,\n \"investment\": ... | {
"answer.json": "{\"price_per_share\": 1.3113, \"new_investor_shares\": 2287805, \"founders_pct\": 71.85, \"safe_shares\": 0}"
} | 0 |
covenant-l3 | finance and economics | 3 | 0 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q1,15700000,8937035,2799494,604023,935811,0,208228\n2024Q2,14200000,6775889,4147759,716537,891452,442661,530771\n2024Q3,14700000,7231757,3694153,505282,1222731,0,278625\n2024Q4,9800000,... | {
"answer.json": "{\"net_leverage\": 3.15, \"interest_coverage\": 3.16, \"compliant\": false}"
} | 0 |
covenant-l3 | finance and economics | 3 | 1 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q1,13600000,7075167,3214438,487133,870308,0,406822\n2024Q2,8700000,4326008,1343979,494440,547190,547036,247638\n2024Q3,17100000,9346998,4195367,1016545,1119005,738870,374482\n2024Q4,820... | {
"answer.json": "{\"net_leverage\": 3.66, \"interest_coverage\": 3.94, \"compliant\": true}"
} | 0 |
covenant-l3 | finance and economics | 3 | 2 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q1,7000000,3467689,1301598,259022,571812,0,118558\n2024Q2,8100000,3685416,1893958,294047,643742,0,242658\n2024Q3,8700000,4030958,1574744,496859,584559,0,188225\n2024Q4,15800000,8657819,... | {
"answer.json": "{\"net_leverage\": 2.53, \"interest_coverage\": 6.85, \"compliant\": true}"
} | 0 |
fx_consolidation-l2 | finance and economics | 2 | 0 | Consolidate the group's 2025 trial balances into USD. revenue and expenses translate at the currency's simple mean of the 12 monthly 'average' rates; cash and receivables translate at the 'closing' rate. USD amounts need no translation. net income = revenue - expenses. Eliminate intercompany sales: subtract the transla... | {
"entities.csv": "entity,functional_currency\nUS-PARENT,USD\nSUB-GBP,GBP\nSUB-INR,INR\nSUB-CAD,CAD\nSUB-BRL,BRL\n",
"trial_balance_2025.csv": "entity,account,amount_local\nUS-PARENT,revenue,8065563.44\nUS-PARENT,expenses,1768323.6\nUS-PARENT,cash,7622481.17\nUS-PARENT,receivables,6904180.54\nSUB-GBP,revenue,567206... | {
"answer.json": "{\"revenue_usd\": 28399844.94, \"net_income_usd\": 17231931.2, \"cash_usd\": 21517487.84}"
} | 0 |
fx_consolidation-l2 | finance and economics | 2 | 1 | Consolidate the group's 2025 trial balances into USD. revenue and expenses translate at the currency's simple mean of the 12 monthly 'average' rates; cash and receivables translate at the 'closing' rate. USD amounts need no translation. net income = revenue - expenses. Eliminate intercompany sales: subtract the transla... | {
"entities.csv": "entity,functional_currency\nUS-PARENT,USD\nSUB-BRL,BRL\nSUB-CHF,CHF\nSUB-AUD,AUD\nSUB-JPY,JPY\n",
"trial_balance_2025.csv": "entity,account,amount_local\nUS-PARENT,revenue,6421180.01\nUS-PARENT,expenses,2694041.11\nUS-PARENT,cash,7420921.93\nUS-PARENT,receivables,5548546.91\nSUB-BRL,revenue,15645... | {
"answer.json": "{\"revenue_usd\": 27148701.45, \"net_income_usd\": 11755174.5, \"cash_usd\": 17170226.24}"
} | 0 |
fx_consolidation-l2 | finance and economics | 2 | 2 | Consolidate the group's 2025 trial balances into USD. revenue and expenses translate at the currency's simple mean of the 12 monthly 'average' rates; cash and receivables translate at the 'closing' rate. USD amounts need no translation. net income = revenue - expenses. Eliminate intercompany sales: subtract the transla... | {
"entities.csv": "entity,functional_currency\nUS-PARENT,USD\nSUB-BRL,BRL\nSUB-GBP,GBP\nSUB-EUR,EUR\nSUB-CHF,CHF\n",
"trial_balance_2025.csv": "entity,account,amount_local\nUS-PARENT,revenue,7674573.65\nUS-PARENT,expenses,1910105.96\nUS-PARENT,cash,967247.33\nUS-PARENT,receivables,1433943.9\nSUB-BRL,revenue,2621632... | {
"answer.json": "{\"revenue_usd\": 27423092.81, \"net_income_usd\": 14305986.66, \"cash_usd\": 21712865.27}"
} | 0 |
payroll-l2 | finance and economics | 2 | 0 | Run the 2025-11 payroll (one of 12 monthly periods) from employees.csv and payroll_policy.json. Per employee, every amount rounded half-up to cents: gross = annual_salary/12; 401k = gross*pretax_401k_pct/100; income tax = (progressive tax on max(0, (gross-401k)*12 - standard_deduction_annual), each bracket's rate apply... | {
"employees.csv": "emp_id,annual_salary,pretax_401k_pct,ytd_gross_before_period\nE2120,360000,8,300000.0\nE6571,227000,5,189166.67\nE3362,164000,3,136666.67\nE7643,373000,0,310833.33\nE6164,400000,10,333333.33\n",
"payroll_policy.json": "{\n \"pay_period\": \"2025-11\",\n \"periods_per_year\": 12,\n \"standard_ded... | {
"answer.json": "{\"total_net_pay\": 88461.26, \"total_income_tax\": 27838.25, \"total_social_security\": 847.33}"
} | 0 |
payroll-l2 | finance and economics | 2 | 1 | Run the 2025-11 payroll (one of 12 monthly periods) from employees.csv and payroll_policy.json. Per employee, every amount rounded half-up to cents: gross = annual_salary/12; 401k = gross*pretax_401k_pct/100; income tax = (progressive tax on max(0, (gross-401k)*12 - standard_deduction_annual), each bracket's rate apply... | {
"employees.csv": "emp_id,annual_salary,pretax_401k_pct,ytd_gross_before_period\nE4030,396000,10,330000.0\nE4131,61000,5,50833.33\nE7412,230000,10,191666.67\nE9603,46000,5,38333.33\nE6084,385000,8,320833.33\nE3365,214000,8,178333.33\n",
"payroll_policy.json": "{\n \"pay_period\": \"2025-11\",\n \"periods_per_year\... | {
"answer.json": "{\"total_net_pay\": 76761.0, \"total_income_tax\": 21737.55, \"total_social_security\": 552.84}"
} | 0 |
payroll-l2 | finance and economics | 2 | 2 | Run the 2025-11 payroll (one of 12 monthly periods) from employees.csv and payroll_policy.json. Per employee, every amount rounded half-up to cents: gross = annual_salary/12; 401k = gross*pretax_401k_pct/100; income tax = (progressive tax on max(0, (gross-401k)*12 - standard_deduction_annual), each bracket's rate apply... | {
"employees.csv": "emp_id,annual_salary,pretax_401k_pct,ytd_gross_before_period\nE5850,381000,10,317500.0\nE7481,321000,6,267500.0\nE1282,149000,10,124166.67\n",
"payroll_policy.json": "{\n \"pay_period\": \"2025-11\",\n \"periods_per_year\": 12,\n \"standard_deduction_annual\": 15000,\n \"federal_brackets_annual\... | {
"answer.json": "{\"total_net_pay\": 47932.91, \"total_income_tax\": 14637.46, \"total_social_security\": 769.83}"
} | 0 |
pe_waterfall-l3 | finance and economics | 3 | 0 | Split exit_proceeds between LPs and the GP. Tier 1: LPs get back total called capital. Tier 2: LPs get the preferred return: for each call, amount * ((1 + pref/100)^(days/365) - 1), days = actual days from call_date to exit_date. Tier 3 (full catch-up): the GP gets 100% until it holds carried_interest_pct of tiers 2+3,... | {
"lpa_terms.json": "{\n \"preferred_return_pct\": 8,\n \"carried_interest_pct\": 20,\n \"gp_catch_up\": \"full\",\n \"exit_date\": \"2025-06-30\",\n \"exit_proceeds\": 28408293.73\n}\n",
"capital_calls.csv": "call_date,amount\n2019-08-01,2800000\n2020-11-19,2300000\n2021-03-20,4800000\n",
"notice_side_letter.txt... | {
"answer.json": "{\"lp_total\": 24796634.98, \"gp_carry\": 3611658.75}"
} | 0 |
pe_waterfall-l3 | finance and economics | 3 | 1 | Split exit_proceeds between LPs and the GP. Tier 1: LPs get back total called capital. Tier 2: LPs get the preferred return: for each call, amount * ((1 + pref/100)^(days/365) - 1), days = actual days from call_date to exit_date. Tier 3 (full catch-up): the GP gets 100% until it holds carried_interest_pct of tiers 2+3,... | {
"lpa_terms.json": "{\n \"preferred_return_pct\": 8,\n \"carried_interest_pct\": 25,\n \"gp_catch_up\": \"full\",\n \"exit_date\": \"2025-06-30\",\n \"exit_proceeds\": 20343502.76\n}\n",
"capital_calls.csv": "call_date,amount\n2021-02-01,4400000\n2022-06-08,2900000\n",
"notice_side_letter.txt": "Administrator co... | {
"answer.json": "{\"lp_total\": 17095127.07, \"gp_carry\": 3248375.69}"
} | 0 |
pe_waterfall-l3 | finance and economics | 3 | 2 | Split exit_proceeds between LPs and the GP. Tier 1: LPs get back total called capital. Tier 2: LPs get the preferred return: for each call, amount * ((1 + pref/100)^(days/365) - 1), days = actual days from call_date to exit_date. Tier 3 (full catch-up): the GP gets 100% until it holds carried_interest_pct of tiers 2+3,... | {
"lpa_terms.json": "{\n \"preferred_return_pct\": 7,\n \"carried_interest_pct\": 20,\n \"gp_catch_up\": \"full\",\n \"exit_date\": \"2025-06-30\",\n \"exit_proceeds\": 16753814.66\n}\n",
"capital_calls.csv": "call_date,amount\n2020-11-01,5600000\n2021-08-22,500000\n",
"notice_side_letter.txt": "Administrator cor... | {
"answer.json": "{\"lp_total\": 14643051.73, \"gp_carry\": 2110762.93}"
} | 0 |
portfolio_return-l2 | finance and economics | 2 | 0 | Measure the portfolio's return from 2025-01-01 to 2025-06-30. External flows are in cash_flows.csv (positive = money in). Modified Dietz = (EMV - BMV - sum F) / (BMV + sum F_i * (D - d_i)/D), D = actual days from start to end, d_i = actual days from start to the flow. Time-weighted return: chain the sub-period returns ... | {
"valuations.csv": "date,point,market_value\n2025-01-01,start,830964.94\n2025-02-17,before_flow,884354.12\n2025-02-28,before_flow,912523.78\n2025-03-07,before_flow,1104400.95\n2025-04-02,before_flow,1387616.34\n2025-06-30,end,1240606.56\n",
"cash_flows.csv": "date,amount,description\n2025-02-17,54174.05,client con... | {
"answer.json": "{\"modified_dietz_pct\": -9.23, \"twr_pct\": -6.85}"
} | 0 |
portfolio_return-l2 | finance and economics | 2 | 1 | Measure the portfolio's return from 2025-01-01 to 2025-06-30. External flows are in cash_flows.csv (positive = money in). Modified Dietz = (EMV - BMV - sum F) / (BMV + sum F_i * (D - d_i)/D), D = actual days from start to end, d_i = actual days from start to the flow. Time-weighted return: chain the sub-period returns ... | {
"valuations.csv": "date,point,market_value\n2025-01-01,start,3771734.44\n2025-04-26,before_flow,3588407.89\n2025-05-19,before_flow,4367339.14\n2025-06-10,before_flow,4813847.84\n2025-06-30,end,3389365.75\n",
"cash_flows.csv": "date,amount,description\n2025-04-26,547280.65,client contribution\n2025-05-19,645907.44... | {
"answer.json": "{\"modified_dietz_pct\": 0.5, \"twr_pct\": 1.59}"
} | 0 |
portfolio_return-l2 | finance and economics | 2 | 2 | Measure the portfolio's return from 2025-01-01 to 2025-06-30. External flows are in cash_flows.csv (positive = money in). Modified Dietz = (EMV - BMV - sum F) / (BMV + sum F_i * (D - d_i)/D), D = actual days from start to end, d_i = actual days from start to the flow. Time-weighted return: chain the sub-period returns ... | {
"valuations.csv": "date,point,market_value\n2025-01-01,start,3191289.32\n2025-02-23,before_flow,3018711.63\n2025-03-18,before_flow,4369162.61\n2025-06-03,before_flow,5633899.67\n2025-06-17,before_flow,7887636.94\n2025-06-30,end,10947331.66\n",
"cash_flows.csv": "date,amount,description\n2025-02-23,1159129.04,clie... | {
"answer.json": "{\"modified_dietz_pct\": 22.7, \"twr_pct\": 12.88}"
} | 0 |
ar_aging-l1 | finance and economics | 1 | 0 | Age the receivables as of 2025-09-30. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open invoices oldest due_date first (ties by invoice_id). Money left after all of a customer's invoice... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C103,2025-07-15,2025-07-30,4745.75\nINV-5014,C103,2025-05-29,2025-07-13,4069.25\nINV-5021,C633,2025-07-14,2025-08-28,984.0\nINV-5028,C633,2025-06-18,2025-07-18,13325.0\nINV-5035,C633,2025-07-11,2025-08-25,8159.0\nINV-5042,C458,2025-08-21,20... | {
"answer.json": "{\"current\": 9922.0, \"d1_30\": 0.0, \"d31_60\": 9143.0, \"d61_90\": 24354.0, \"d90_plus\": 0.0, \"unapplied_cash\": 9194.25}"
} | 0 |
ar_aging-l1 | finance and economics | 1 | 1 | Age the receivables as of 2025-09-30. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open invoices oldest due_date first (ties by invoice_id). Money left after all of a customer's invoice... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C687,2025-08-16,2025-08-31,11213.5\nINV-5014,C687,2025-05-25,2025-06-09,10332.0\nINV-5021,C687,2025-06-11,2025-07-26,11951.5\nINV-5028,C901,2025-05-15,2025-05-30,12771.5\nINV-5035,C901,2025-07-13,2025-07-28,881.5\nINV-5042,C901,2025-08-05,2... | {
"answer.json": "{\"current\": 29827.5, \"d1_30\": 5873.25, \"d31_60\": 0.0, \"d61_90\": 0.0, \"d90_plus\": 0.0, \"unapplied_cash\": 0.0}"
} | 0 |
ar_aging-l1 | finance and economics | 1 | 2 | Age the receivables as of 2025-09-30. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open invoices oldest due_date first (ties by invoice_id). Money left after all of a customer's invoice... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C394,2025-08-10,2025-10-09,1496.5\nINV-5014,C394,2025-06-28,2025-07-28,15303.25\nINV-5021,C394,2025-06-30,2025-08-29,14268.0\nINV-5028,C394,2025-09-09,2025-10-24,14667.75\nINV-5035,C394,2025-07-14,2025-07-29,14944.5\nINV-5042,C341,2025-06-1... | {
"answer.json": "{\"current\": 29376.5, \"d1_30\": 3433.75, \"d31_60\": 32615.5, \"d61_90\": 24159.25, \"d90_plus\": 5412.0, \"unapplied_cash\": 184.5}"
} | 0 |
ar_aging-l2 | finance and economics | 2 | 0 | Age the receivables as of 2025-09-30. Ignore payments received after that date. Credit notes reduce the invoice in applies_to first. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open in... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C452,2025-04-22,2025-06-21,14432.0\nINV-5014,C452,2025-04-23,2025-05-08,11367.25\nINV-5021,C452,2025-07-05,2025-08-19,11551.75\nINV-5028,C452,2025-04-20,2025-06-04,10393.5\nINV-5035,C139,2025-08-01,2025-08-16,12361.5\nINV-5042,C139,2025-09-... | {
"answer.json": "{\"current\": 3428.62, \"d1_30\": 6498.5, \"d31_60\": 4161.5, \"d61_90\": 2255.0, \"d90_plus\": 4622.75, \"unapplied_cash\": 0.0}"
} | 0 |
ar_aging-l2 | finance and economics | 2 | 1 | Age the receivables as of 2025-09-30. Ignore payments received after that date. Credit notes reduce the invoice in applies_to first. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open in... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C413,2025-07-07,2025-08-21,4704.75\nINV-5014,C413,2025-09-14,2025-11-13,6385.75\nINV-5021,C413,2025-05-04,2025-06-18,8302.5\nINV-5028,C630,2025-07-26,2025-09-24,768.75\nINV-5035,C630,2025-08-12,2025-09-11,276.75\nINV-5042,C630,2025-08-25,20... | {
"answer.json": "{\"current\": 3802.75, \"d1_30\": 3928.31, \"d31_60\": 0.0, \"d61_90\": 13099.5, \"d90_plus\": 25871.0, \"unapplied_cash\": 16523.0}"
} | 0 |
ar_aging-l2 | finance and economics | 2 | 2 | Age the receivables as of 2025-09-30. Ignore payments received after that date. Credit notes reduce the invoice in applies_to first. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open in... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C626,2025-07-09,2025-09-07,3362.0\nINV-5014,C626,2025-08-08,2025-09-07,3526.0\nINV-5021,C626,2025-04-08,2025-04-23,12300.0\nINV-5028,C626,2025-06-22,2025-07-22,13355.75\nINV-5035,C475,2025-09-27,2025-10-12,13366.0\nINV-5042,C475,2025-07-06,... | {
"answer.json": "{\"current\": 0.0, \"d1_30\": 29691.69, \"d31_60\": 8025.75, \"d61_90\": 13355.75, \"d90_plus\": 7308.25, \"unapplied_cash\": 9378.75}"
} | 0 |
ar_aging-l3 | finance and economics | 3 | 0 | Age the receivables as of 2025-09-30. Ignore payments received after that date. Credit notes reduce the invoice in applies_to first. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open in... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C283,2025-08-07,2025-08-22,2121.75\nINV-5014,C283,2025-08-03,2025-09-02,13919.5\nINV-5021,C283,2025-03-16,2025-04-30,10004.0\nINV-5028,C283,2025-07-19,2025-09-17,10403.75\nINV-5035,C263,2025-07-02,2025-08-01,2685.5\nINV-5042,C263,2025-08-15... | {
"answer.json": "{\"current\": 12566.5, \"d1_30\": 47867.5, \"d31_60\": 7359.5, \"d61_90\": 3802.75, \"d90_plus\": 30903.75, \"unapplied_cash\": 0.0}"
} | 0 |
ar_aging-l3 | finance and economics | 3 | 1 | Age the receivables as of 2025-09-30. Ignore payments received after that date. Credit notes reduce the invoice in applies_to first. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open in... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C679,2025-06-12,2025-07-27,14083.5\nINV-5014,C679,2025-07-29,2025-08-28,6652.25\nINV-5021,C679,2025-07-17,2025-09-15,13622.25\nINV-5028,C338,2025-08-03,2025-10-02,8610.0\nINV-5035,C338,2025-03-23,2025-04-07,3464.5\nINV-5042,C338,2025-08-01,... | {
"answer.json": "{\"current\": 23831.25, \"d1_30\": 16605.0, \"d31_60\": 6652.25, \"d61_90\": 22765.25, \"d90_plus\": 522.75, \"unapplied_cash\": 23974.75}"
} | 0 |
ar_aging-l3 | finance and economics | 3 | 2 | Age the receivables as of 2025-09-30. Ignore payments received after that date. Credit notes reduce the invoice in applies_to first. Process payments by received date (ties by payment_id). A payment with applies_to pays that invoice first; any remainder, and every payment without applies_to, pays the customer's open in... | {
"invoices.csv": "invoice_id,customer,invoice_date,due_date,amount\nINV-5007,C488,2025-08-13,2025-09-27,10414.0\nINV-5014,C488,2025-08-22,2025-09-21,973.75\nINV-5021,C488,2025-05-21,2025-06-05,12751.0\nINV-5028,C488,2025-08-03,2025-10-02,6016.75\nINV-5035,C488,2025-05-04,2025-06-03,1025.0\nINV-5042,C184,2025-05-27,2... | {
"answer.json": "{\"current\": 18501.25, \"d1_30\": 11387.75, \"d31_60\": 0.0, \"d61_90\": 912.25, \"d90_plus\": 17917.0, \"unapplied_cash\": 0.0}"
} | 0 |
bank_recon-l1 | finance and economics | 1 | 0 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-07,DEP267,DEPOSIT,11093.45\n2025-08-08,CHK3568,CHECK 3568,-2853.58\n2025-08-13,DEP733,DEPOSIT,5920.87\n2025-08-14,DEP556,DEPOSIT,6820.79\n2025-08-28,CHK3570,CHECK 3570,-6638.38\n2025-08-30,CHK3571,CHECK 3571,-4135.01\n2025-08-31,BNK140,SVC FEE,-37.24\n... | {
"answer.json": "{\"adjusted_balance\": 45529.47, \"outstanding_checks\": [\"CHK3572\"], \"deposits_in_transit\": 3003.93, \"book_adjustments\": [\"BNK140\"]}"
} | 0 |
bank_recon-l1 | finance and economics | 1 | 1 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-03,DEP711,DEPOSIT,2686.32\n2025-08-12,CHK3720,CHECK 3720,-5499.94\n2025-08-17,DEP892,DEPOSIT,13026.58\n2025-08-25,DEP788,DEPOSIT,10135.35\n2025-08-31,BNK940,SVC FEE,-14.77\n",
"book_cash_ledger_aug.csv": "date,ref,description,amount\n2025-08-02,DEP71... | {
"answer.json": "{\"adjusted_balance\": 123568.45, \"outstanding_checks\": [], \"deposits_in_transit\": 23894.9, \"book_adjustments\": [\"BNK940\"]}"
} | 0 |
bank_recon-l1 | finance and economics | 1 | 2 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-02,DEP175,DEPOSIT,12486.26\n2025-08-05,DEP412,DEPOSIT,807.28\n2025-08-06,CHK1068,CHECK 1068,-8857.75\n2025-08-10,DEP794,DEPOSIT,6527.28\n2025-08-12,DEP172,DEPOSIT,2599.14\n2025-08-31,BNK440,SVC FEE,-17.44\n2025-08-31,DEP806,DEPOSIT,3901.59\n",
"book_... | {
"answer.json": "{\"adjusted_balance\": 129112.57, \"outstanding_checks\": [], \"deposits_in_transit\": 30836.14, \"book_adjustments\": [\"BNK440\"]}"
} | 0 |
bank_recon-l2 | finance and economics | 2 | 0 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-03,DEP752,DEPOSIT,14141.95\n2025-08-15,DEP852,DEPOSIT,8529.7\n2025-08-21,DEP997,DEPOSIT,2189.95\n2025-08-23,CHK3737,CHECK 3737,-8458.46\n2025-08-27,DEP212,DEPOSIT,9070.72\n2025-08-29,CHK3741,CHECK 3741,-7803.67\n2025-08-30,CHK3738,CHECK 3738,-1453.97\n... | {
"answer.json": "{\"adjusted_balance\": 96661.16, \"outstanding_checks\": [], \"deposits_in_transit\": 7239.73, \"book_adjustments\": [\"BNK181\", \"BNK492\", \"BNK910\"]}"
} | 0 |
bank_recon-l2 | finance and economics | 2 | 1 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-04,CHK3051,CHECK 3051,-3612.39\n2025-08-06,CHK3050,CHECK 3050,-6081.99\n2025-08-12,CHK3047,CHECK 3047,-3857.85\n2025-08-18,CHK3049,CHECK 3049,-8379.71\n2025-08-22,DEP360,DEPOSIT,11335.16\n2025-08-30,CHK3043,CHECK 3043,-509.37\n2025-08-31,BNK202,NSF RET... | {
"answer.json": "{\"adjusted_balance\": 17893.35, \"outstanding_checks\": [\"CHK3045\", \"CHK3046\"], \"deposits_in_transit\": 1821.01, \"book_adjustments\": [\"BNK202\", \"BNK401\", \"BNK450\"]}"
} | 0 |
bank_recon-l2 | finance and economics | 2 | 2 | Reconcile August cash. Match bank and book items by ref. Book items missing from the bank are outstanding checks (negative) or deposits in transit (positive). Bank items missing from the book must be booked (book adjustments). adjusted_balance = bank_statement_ending + deposits in transit - outstanding checks (+ any ba... | {
"bank_statement_aug.csv": "date,ref,description,amount\n2025-08-06,DEP259,DEPOSIT,11933.7\n2025-08-07,CHK3544,CHECK 3544,-3357.9\n2025-08-08,DEP303,DEPOSIT,8979.56\n2025-08-08,DEP374,DEPOSIT,3362.79\n2025-08-13,DEP872,DEPOSIT,6564.87\n2025-08-18,CHK3543,CHECK 3543,-1190.89\n2025-08-21,CHK3542,CHECK 3542,-4313.97\n2... | {
"answer.json": "{\"adjusted_balance\": 67452.68, \"outstanding_checks\": [\"CHK3541\", \"CHK3545\"], \"deposits_in_transit\": 5172.15, \"book_adjustments\": [\"BNK141\", \"BNK162\", \"BNK510\"]}"
} | 0 |
bond_price-l1 | finance and economics | 1 | 0 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS1687936549\",\n \"coupon_pct\": 3.0,\n \"coupons_per_year\": 2,\n \"maturity\": \"2036-06-15\",\n \"settlement\": \"2025-12-23\",\n \"yield_pct\": 3.478,\n \"face_holding\": 50000\n}\n"
} | {
"answer.json": "{\"dirty_price\": 95.898, \"clean_price\": 95.8321, \"accrued_interest\": 32.97}"
} | 0 |
bond_price-l1 | finance and economics | 1 | 1 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS3121251553\",\n \"coupon_pct\": 7.0,\n \"coupons_per_year\": 2,\n \"maturity\": \"2027-06-15\",\n \"settlement\": \"2025-05-25\",\n \"yield_pct\": 6.573,\n \"face_holding\": 10000\n}\n"
} | {
"answer.json": "{\"dirty_price\": 103.8998, \"clean_price\": 100.8037, \"accrued_interest\": 309.62}"
} | 0 |
bond_price-l1 | finance and economics | 1 | 2 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS4402470288\",\n \"coupon_pct\": 3.75,\n \"coupons_per_year\": 2,\n \"maturity\": \"2027-12-15\",\n \"settlement\": \"2025-12-16\",\n \"yield_pct\": 1.909,\n \"face_holding\": 250000\n}\n"
} | {
"answer.json": "{\"dirty_price\": 103.6012, \"clean_price\": 103.5909, \"accrued_interest\": 25.76}"
} | 0 |
bond_price-l2 | finance and economics | 2 | 0 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS6983710505\",\n \"coupon_pct\": 3.75,\n \"coupons_per_year\": 1,\n \"maturity\": \"2034-11-15\",\n \"settlement\": \"2025-03-03\",\n \"yield_pct\": 5.914,\n \"face_holding\": 50000\n}\n"
} | {
"answer.json": "{\"dirty_price\": 85.4481, \"clean_price\": 84.3385, \"accrued_interest\": 554.79}"
} | 0 |
bond_price-l2 | finance and economics | 2 | 1 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS4016014273\",\n \"coupon_pct\": 4.25,\n \"coupons_per_year\": 2,\n \"maturity\": \"2030-06-15\",\n \"settlement\": \"2025-05-16\",\n \"yield_pct\": 6.232,\n \"face_holding\": 250000\n}\n"
} | {
"answer.json": "{\"dirty_price\": 93.2486, \"clean_price\": 91.4738, \"accrued_interest\": 4436.81}"
} | 0 |
bond_price-l2 | finance and economics | 2 | 2 | Price the bond holding in bond.json. Coupon dates step back from maturity by 12/coupons_per_year months (same day of month). Let prev and next be the coupon dates with prev <= settlement < next. w = actual days(settlement, next) / actual days(prev, next). Per 100 face: c = coupon_pct/coupons_per_year, y = yield_pct/100... | {
"bond.json": "{\n \"isin\": \"XS4475728938\",\n \"coupon_pct\": 7.0,\n \"coupons_per_year\": 1,\n \"maturity\": \"2030-05-15\",\n \"settlement\": \"2025-03-28\",\n \"yield_pct\": 8.713,\n \"face_holding\": 25000\n}\n"
} | {
"answer.json": "{\"dirty_price\": 99.1914, \"clean_price\": 93.1119, \"accrued_interest\": 1519.86}"
} | 0 |
cap_table-l2 | finance and economics | 2 | 0 | Close the Series A in term_sheet.json. Pre-money fully diluted shares S = all shares in cap_table.csv (common plus all options, granted and unallocated), excluding SAFE conversion shares. price_per_share = pre_money_valuation / S, rounded half-up to 4 dp. new_investor_shares = floor(investment / price_per_share). Each ... | {
"cap_table.csv": "holder,class,shares\nFounder A,common,4399000\nFounder B,common,2513000\nEmployees (granted),options,1205000\nUnallocated pool,options,466000\nAngel,common,384000\n",
"term_sheet.json": "{\n \"round\": \"Series A\",\n \"pre_money_valuation\": 23000000,\n \"investment\": 10000000\n}\n",
"safes.... | {
"answer.json": "{\"price_per_share\": 2.565, \"new_investor_shares\": 3898635, \"founders_pct\": 43.87, \"safe_shares\": 2891522}"
} | 0 |
cap_table-l2 | finance and economics | 2 | 1 | Close the Series A in term_sheet.json. Pre-money fully diluted shares S = all shares in cap_table.csv (common plus all options, granted and unallocated), excluding SAFE conversion shares. price_per_share = pre_money_valuation / S, rounded half-up to 4 dp. new_investor_shares = floor(investment / price_per_share). Each ... | {
"cap_table.csv": "holder,class,shares\nFounder A,common,1548000\nFounder B,common,2297000\nFounder C,common,4254000\nEmployees (granted),options,667000\nUnallocated pool,options,519000\nAngel,common,94000\n",
"term_sheet.json": "{\n \"round\": \"Series A\",\n \"pre_money_valuation\": 36000000,\n \"investment\": 1... | {
"answer.json": "{\"price_per_share\": 3.8384, \"new_investor_shares\": 4949979, \"founders_pct\": 53.64, \"safe_shares\": 770007}"
} | 0 |
cap_table-l2 | finance and economics | 2 | 2 | Close the Series A in term_sheet.json. Pre-money fully diluted shares S = all shares in cap_table.csv (common plus all options, granted and unallocated), excluding SAFE conversion shares. price_per_share = pre_money_valuation / S, rounded half-up to 4 dp. new_investor_shares = floor(investment / price_per_share). Each ... | {
"cap_table.csv": "holder,class,shares\nFounder A,common,3033000\nFounder B,common,1659000\nFounder C,common,3262000\nEmployees (granted),options,1047000\nUnallocated pool,options,649000\nAngel,common,227000\n",
"term_sheet.json": "{\n \"round\": \"Series A\",\n \"pre_money_valuation\": 50000000,\n \"investment\":... | {
"answer.json": "{\"price_per_share\": 5.0623, \"new_investor_shares\": 1382770, \"founders_pct\": 65.16, \"safe_shares\": 947787}"
} | 0 |
covenant-l1 | finance and economics | 1 | 0 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q4,16300000,8375929,4832386,701382,1008972,0,516124\n2025Q1,13300000,7916800,2214074,526630,1322615,0,195662\n2025Q2,11000000,5652977,2030211,640161,870042,0,155248\n2025Q3,5100000,2726... | {
"answer.json": "{\"net_leverage\": 4.34, \"interest_coverage\": 3.11, \"compliant\": true}"
} | 0 |
covenant-l1 | finance and economics | 1 | 1 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q4,16300000,8456716,3165778,548273,950876,388755,222945\n2025Q1,10400000,5695177,1621277,400240,682967,0,136030\n2025Q2,5800000,3018584,1619262,278073,488785,0,167102\n2025Q3,9500000,52... | {
"answer.json": "{\"net_leverage\": 3.93, \"interest_coverage\": 4.0, \"compliant\": true}"
} | 0 |
covenant-l1 | finance and economics | 1 | 2 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q4,5800000,2583183,959707,264640,320352,0,129226\n2025Q1,16600000,9103800,3473243,708318,1411741,359141,326901\n2025Q2,7800000,4391830,1394053,281085,340490,0,277297\n2025Q3,10700000,52... | {
"answer.json": "{\"net_leverage\": 5.62, \"interest_coverage\": 4.19, \"compliant\": false}"
} | 0 |
covenant-l2 | finance and economics | 2 | 0 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q1,6500000,3447794,1073639,309714,288224,0,155258\n2024Q2,6700000,3477045,1039750,321208,285743,0,213335\n2024Q3,5500000,2642419,884439,236794,210012,126744,65702\n2024Q4,5800000,291446... | {
"answer.json": "{\"net_leverage\": 3.29, \"interest_coverage\": 8.13, \"compliant\": true}"
} | 0 |
covenant-l2 | finance and economics | 2 | 1 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q1,8400000,4059159,2255474,340427,747442,379543,187298\n2024Q2,10800000,5550459,1989971,572657,570242,0,295129\n2024Q3,13600000,8044600,4010959,778068,680645,0,480532\n2024Q4,9000000,46... | {
"answer.json": "{\"net_leverage\": 4.0, \"interest_coverage\": 3.78, \"compliant\": false}"
} | 0 |
covenant-l2 | finance and economics | 2 | 2 | Test the borrower's covenants per credit_agreement.txt at the test quarter in balance_sheet.json. Compliant means both covenant tests pass on the unrounded ratios. Save the answer as a JSON object in answer.json: {"net_leverage": ratio rounded to 2 dp, "interest_coverage": ratio rounded to 2 dp, "compliant": true/false... | {
"quarterly_pnl.csv": "quarter,revenue,cogs,opex_incl_restructuring,d_and_a,interest_expense,restructuring_charges,tax_expense\n2024Q1,17800000,8428828,3022847,888242,728198,0,335581\n2024Q2,9300000,4408248,1834564,523346,581918,604515,221685\n2024Q3,18700000,9123834,4947558,713804,1497858,590316,636438\n2024Q4,1330... | {
"answer.json": "{\"net_leverage\": 4.12, \"interest_coverage\": 5.31, \"compliant\": true}"
} | 0 |
dcf_npv-l3 | finance and economics | 3 | 0 | Evaluate the capital projects in cashflows.csv using policy.json. XNPV = sum amount/(1+r)^(days/365) where days = actual days from that project's earliest date. Pick the project with the highest XNPV. Also compute that project's XIRR: the rate x with sum amount/(1+x)^(days/365) = 0 (it has exactly one in (-0.99, 10)). ... | {
"cashflows.csv": "project,date,amount\nBRAVO,2031-04-10,445000\nBRAVO,2028-04-22,76000\nBRAVO,2031-11-12,367000\nBRAVO,2032-12-20,516000\nBRAVO,2033-09-12,297000\nBRAVO,2029-09-20,526000\nBRAVO,2029-04-29,377000\nALPHA,2029-02-28,579000\nALPHA,2027-10-30,192000\nALPHA,2026-03-12,167000\nCEDAR,2029-08-09,216000\nBRA... | {
"answer.json": "{\"best_project\": \"ALPHA\", \"best_value\": 1167816.64, \"irr_pct\": 78.97}"
} | 0 |
dcf_npv-l3 | finance and economics | 3 | 1 | Evaluate the capital projects in cashflows.csv using policy.json. XNPV = sum amount/(1+r)^(days/365) where days = actual days from that project's earliest date. Pick the project with the highest XNPV. Also compute that project's XIRR: the rate x with sum amount/(1+x)^(days/365) = 0 (it has exactly one in (-0.99, 10)). ... | {
"cashflows.csv": "project,date,amount\nALPHA,2028-12-17,127000\nALPHA,2026-05-24,139000\nCEDAR,2030-06-20,2000\nBRAVO,2027-11-12,511000\nCEDAR,2028-08-20,-80000\nBRAVO,2026-03-28,425000\nALPHA,2028-03-17,145000\nALPHA,2027-06-26,334000\nCEDAR,2029-01-28,20000\nCEDAR,2025-07-10,-526000\nCEDAR,2027-10-29,-24000\nCEDA... | {
"answer.json": "{\"best_project\": \"BRAVO\", \"best_value\": 579119.96, \"irr_pct\": 21.74}"
} | 0 |
dcf_npv-l3 | finance and economics | 3 | 2 | Evaluate the capital projects in cashflows.csv using policy.json. XNPV = sum amount/(1+r)^(days/365) where days = actual days from that project's earliest date. Pick the project with the highest XNPV. Also compute that project's XIRR: the rate x with sum amount/(1+x)^(days/365) = 0 (it has exactly one in (-0.99, 10)). ... | {
"cashflows.csv": "project,date,amount\nBRAVO,2029-06-24,202000\nBRAVO,2031-07-18,70000\nALPHA,2026-06-06,169000\nCEDAR,2026-02-10,39000\nBRAVO,2026-03-28,585000\nALPHA,2027-09-26,517000\nALPHA,2025-06-04,-599000\nALPHA,2029-02-02,589000\nCEDAR,2029-08-09,45000\nBRAVO,2025-06-04,-1079000\nCEDAR,2028-10-13,274000\nBR... | {
"answer.json": "{\"best_project\": \"ALPHA\", \"best_value\": 1460871.36, \"irr_pct\": 89.07}"
} | 0 |
depreciation-l1 | finance and economics | 1 | 0 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. Sum each asset's 2025 months; round each asset's 2025 total to cents. NBV = cost - ... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-2807,27500,0,7,SL,2022-09-01\nFA-3708,24000,0,10,SL,2024-08-01\nFA-4432,59250,5925.0,7,SL,2022-02-01\nFA-9902,47500,0,3,SL,2023-10-01\nFA-1170,18000,0,3,SL,2023-06-01\n"
} | {
"answer.json": "{\"fy_depreciation\": 35779.76, \"year_end_nbv\": 78793.15}"
} | 0 |
depreciation-l1 | finance and economics | 1 | 1 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. Sum each asset's 2025 months; round each asset's 2025 total to cents. NBV = cost - ... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-7764,74000,0,10,SL,2024-11-01\nFA-6234,48500,4850.0,5,SL,2022-12-01\nFA-8651,77500,7750.0,3,SL,2023-10-01\nFA-1809,67250,0,5,SL,2022-03-01\nFA-9184,17250,0,5,SL,2022-12-01\nFA-1664,58000,0,10,SL,2022-09-01\nFA-9075,24750,0,3,SL,2025... | {
"answer.json": "{\"fy_depreciation\": 68267.5, \"year_end_nbv\": 191670.0}"
} | 0 |
depreciation-l1 | finance and economics | 1 | 2 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. Sum each asset's 2025 months; round each asset's 2025 total to cents. NBV = cost - ... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-4585,69250,0,5,SL,2023-02-01\nFA-3261,90000,0,5,SL,2024-03-01\nFA-9525,75250,0,10,SL,2022-02-01\nFA-2868,54000,0,3,SL,2025-10-01\nFA-5031,14750,1475.0,5,SL,2022-10-01\nFA-6776,21500,0,5,SL,2022-12-01\nFA-6214,28000,0,5,SL,2025-12-01... | {
"answer.json": "{\"fy_depreciation\": 51296.67, \"year_end_nbv\": 223027.5}"
} | 0 |
depreciation-l2 | finance and economics | 2 | 0 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. DDB: for each 12-month asset year counted from in_service_month, the asset-year dep... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-7085,88750,0,10,SL,2023-11-01\nFA-7761,35250,0,7,SL,2023-01-01\nFA-1922,89500,8950.0,10,SL,2024-06-01\nFA-2131,47000,0,10,DDB,2022-11-01\nFA-7873,59250,0,7,SL,2024-06-01\nFA-1801,12500,0,3,SL,2023-12-01\n"
} | {
"answer.json": "{\"fy_depreciation\": 40412.14, \"year_end_nbv\": 239339.47}"
} | 0 |
depreciation-l2 | finance and economics | 2 | 1 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. DDB: for each 12-month asset year counted from in_service_month, the asset-year dep... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-8030,95500,0,7,SL,2024-02-01\nFA-3837,90750,9075.0,3,SL,2025-08-01\nFA-7078,73250,0,10,DDB,2023-08-01\nFA-6510,56500,0,3,DDB,2025-11-01\nFA-7217,14750,0,7,SL,2025-08-01\nFA-4353,13750,1375.0,3,DDB,2025-01-01\nFA-2608,5500,0,7,DDB,20... | {
"answer.json": "{\"fy_depreciation\": 52907.57, \"year_end_nbv\": 262546.35}"
} | 0 |
depreciation-l2 | finance and economics | 2 | 2 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. DDB: for each 12-month asset year counted from in_service_month, the asset-year dep... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-8274,21000,0,10,SL,2022-06-01\nFA-7620,58000,0,3,DDB,2024-02-01\nFA-2744,43750,0,5,SL,2023-11-01\nFA-3667,56500,0,7,SL,2022-02-01\nFA-5876,11750,0,10,SL,2024-04-01\n"
} | {
"answer.json": "{\"fy_depreciation\": 35133.47, \"year_end_nbv\": 80365.84}"
} | 0 |
depreciation-l3 | finance and economics | 3 | 0 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. DDB: for each 12-month asset year counted from in_service_month, the asset-year dep... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-8116,53750,0,7,SL,2023-08-01\nFA-5501,78000,0,10,SL,2022-08-01\nFA-7461,37000,0,3,DDB,2024-12-01\nFA-8376,44750,4475.0,5,DDB,2022-09-01\n",
"notice_disposal.txt": "Disposal notice: asset FA-8376 was sold on 2025-06-15 for proceeds... | {
"answer.json": "{\"fy_depreciation\": 41459.87, \"year_end_nbv\": 98191.6, \"disposal_gain_loss\": 13857.47}"
} | 0 |
depreciation-l3 | finance and economics | 3 | 1 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. DDB: for each 12-month asset year counted from in_service_month, the asset-year dep... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-7348,61250,6125.0,7,SL,2023-06-01\nFA-6026,16750,0,3,DDB,2024-11-01\nFA-3780,31000,0,5,SL,2025-02-01\nFA-3680,71000,0,5,SL,2024-11-01\nFA-3199,21500,0,5,DDB,2023-11-01\nFA-1824,10000,1000.0,7,DDB,2023-02-01\n",
"notice_disposal.tx... | {
"answer.json": "{\"fy_depreciation\": 43399.19, \"year_end_nbv\": 132843.21, \"disposal_gain_loss\": -1971.84}"
} | 0 |
depreciation-l3 | finance and economics | 3 | 2 | Compute fiscal-year 2025 (calendar) depreciation from asset_register.csv. Depreciation is monthly: an asset depreciates starting in its in_service_month. SL: monthly amount = (cost - salvage) / life_years / 12 until NBV reaches salvage. DDB: for each 12-month asset year counted from in_service_month, the asset-year dep... | {
"asset_register.csv": "asset_id,cost,salvage,life_years,method,in_service_month\nFA-5031,6250,0,10,DDB,2024-09-01\nFA-9336,97250,0,3,SL,2024-10-01\nFA-3067,60000,0,10,SL,2023-01-01\nFA-7343,80250,0,10,SL,2023-05-01\nFA-2677,9750,975.0,5,DDB,2024-07-01\n",
"notice_disposal.txt": "Disposal notice: asset FA-7343 was... | {
"answer.json": "{\"fy_depreciation\": 49390.84, \"year_end_nbv\": 108075.83, \"disposal_gain_loss\": -19975.17}"
} | 0 |
fx_consolidation-l3 | finance and economics | 3 | 0 | Consolidate the group's 2025 trial balances into USD. revenue and expenses translate at the currency's simple mean of the 12 monthly 'average' rates; cash and receivables translate at the 'closing' rate. USD amounts need no translation. net income = revenue - expenses. Eliminate intercompany sales: subtract the transla... | {
"entities.csv": "entity,functional_currency\nUS-PARENT,USD\nSUB-CAD,CAD\nSUB-CHF,CHF\nSUB-EUR,EUR\n",
"trial_balance_2025.csv": "entity,account,amount_local\nUS-PARENT,revenue,867124.4\nUS-PARENT,expenses,3154149.16\nUS-PARENT,cash,3837403.27\nUS-PARENT,receivables,8601924.11\nSUB-CAD,revenue,6638045.86\nSUB-CAD,... | {
"answer.json": "{\"revenue_usd\": 17557267.45, \"net_income_usd\": 7988955.1, \"cash_usd\": 12701971.85}"
} | 0 |
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