{"task_id": "pyrepo-located", "split": "train", "family": "pyrepo", "level": "located", "domain": "software-engineering", "qwen3.8_27b_solved_tdesk_rules": "1/16", "example_instruction": "# Fix a bug in tabulate\n\nIn /app/repo/tabulate, a recent change broke:\n- `_CustomTextWrap._handle_long_word` in `tabulate/__init__.py` (lines 2785-2832). Test: `python3 -m pytest -q tests/test_output.py::test_break_long_words 2>&1 | tail -5`\n\nFix the library code, not the tests. Hidden tests run the full suite.\n"}
{"task_id": "pyrepo-located2", "split": "train", "family": "pyrepo", "level": "located2", "domain": "software-engineering", "qwen3.8_27b_solved_tdesk_rules": "0/16", "example_instruction": "# Fix two bugs in tabulate\n\nIn /app/repo/tabulate, a recent change broke:\n- `_CustomTextWrap._handle_long_word` in `tabulate/__init__.py` (lines 2785-2832). Test: `python3 -m pytest -q tests/test_output.py::test_break_long_words 2>&1 | tail -5`\n- `_pipe_segment_with_colons` in `tabulate/__init__.py` (lines 136-147). Test: `python3 -m pytest -q tests/test_output.py::test_pipe 2>&1 | tail -5`\n\nFix the library code, not the tests. Hidden tests run the full suite.\n"}
{"task_id": "pyrepo-bug1", "split": "train", "family": "pyrepo", "level": "bug1", "domain": "software-engineering", "qwen3.8_27b_solved_tdesk_rules": "1/16", "example_instruction": "# Fix the tabulate library\n\nA recent change introduced a bug in the `tabulate` library at /app/repo/tabulate. For example, the test `tests.test_output::test_break_long_words` now fails.\n\nFind the cause and fix it in the library code.\n\n- Run the visible tests with `cd /app/repo/tabulate && python3 -m pytest -q tests`. They do not cover everything: hidden tests will run the library's complete test suite.\n- Change only the library's own code under /app/repo/tabulate/tabulate. Do not edit or add tests; edited tests are ignored when grading.\n- Do not break anything that currently works.\n"}
{"task_id": "reflow-lite", "split": "train", "family": "reflow", "level": "lite", "domain": "industrial-physical-systems", "qwen3.8_27b_solved_tdesk_rules": "3/16", "example_instruction": "# Reflow ramp audit\nHandbook: /app/docs (read all documents; definitions and limits come only from there). Data: /app/data.\nWrite /app/output/reflow_report.json: {\"ramp_limit_c_per_s\": <limit in force>, \"max_preheat_ramp\": {\"R100\": <C/s, 2 dp>, ...}, \"violating_runs\": [<sorted IDs over the limit>]}\n"}
{"task_id": "downtime-lite", "split": "train", "family": "downtime", "level": "lite", "domain": "industrial-physical-systems", "qwen3.8_27b_solved_tdesk_rules": "3/16", "example_instruction": "# Line downtime\nReport unplanned downtime per machine for the evening shift of 2026-09-20. Rules (definition, the limit in force on that date, which stops count) are in /app/handbook, including amendments. Data: /app/data.\nWrite /app/output/downtime.json: {\"limit_min\": <limit>, \"downtime_by_machine\": {\"M01\": <minutes>, ...}, \"over_limit\": [<sorted IDs strictly over the limit>]}\n"}
{"task_id": "expenses-lite", "split": "train", "family": "expenses", "level": "lite", "domain": "office-white-collar", "qwen3.8_27b_solved_tdesk_rules": "0/16", "example_instruction": "# Expense audit\nAudit of the Research department's claims dated in September 2026 (2026-09-01 to 2026-09-30). Policy with amendments: /app/policy. FX rates and corrections: /app/finance. Claims and employees: /app/data.\nWrite /app/output/expense_report.json: {\"violations\": [<sorted IDs of claims breaking policy>], \"by_employee\": {\"E01\": <reimbursable EUR, 2 dp>, ...}, \"reimbursable_eur\": <total, 2 dp>}\n"}
{"task_id": "routing-medium", "split": "train", "family": "routing", "level": "medium", "domain": "mathematics-or-formal-reasoning", "qwen3.8_27b_solved_tdesk_rules": "4/16", "example_instruction": "# Depot delivery plan\n\nPlan today's deliveries for two vans, V1 and V2.\n\n- Orders are in /app/data/orders.csv; the depot, vans, speed and service time are in /app/data/vans.json.\n- Read /app/data/ops_notes.md: every note there is a binding constraint.\n- Distances are great-circle distances on a sphere of radius 6371 km between the coordinates. Travel time = distance / speed; each stop takes the service time.\n- Respect van capacity, time windows (a van may wait for a window to open), and every note. Each remaining order is served exactly once.\n- Minimise the total distance driven by both vans, including the return to the depot.\n\nWrite /app/output/plan.json with exactly this structure:\n\n{\n  \"routes\": {\"V1\": [<order IDs in visiting order>], \"V2\": [<order IDs in visiting order>]},\n  \"total_km\": <total distance of your plan in km, 2 decimals>\n}\n\nA plan is accepted if it is feasible and its total distance is within 5% of the best possible plan.\n"}
{"task_id": "routing-hard", "split": "train", "family": "routing", "level": "hard", "domain": "mathematics-or-formal-reasoning", "qwen3.8_27b_solved_tdesk_rules": "1/16", "example_instruction": "# Depot delivery plan\n\nPlan today's deliveries for two vans, V1 and V2.\n\n- Orders are in /app/data/orders.csv; the depot, vans, speed and service time are in /app/data/vans.json.\n- Read /app/data/ops_notes.md: every note there is a binding constraint.\n- Distances are great-circle distances on a sphere of radius 6371 km between the coordinates. Travel time = distance / speed; each stop takes the service time.\n- Respect van capacity, time windows (a van may wait for a window to open), and every note. Each remaining order is served exactly once.\n- Minimise the total distance driven by both vans, including the return to the depot.\n\nWrite /app/output/plan.json with exactly this structure:\n\n{\n  \"routes\": {\"V1\": [<order IDs in visiting order>], \"V2\": [<order IDs in visiting order>]},\n  \"total_km\": <total distance of your plan in km, 2 decimals>\n}\n\nA plan is accepted if it is feasible and its total distance is within 5% of the best possible plan.\n"}