policy string | wm string | task_name string | task_category string | task_difficulty string | task_tags list | task_instruction string | num_turns int64 | messages list | wm_prediction_correct list | wm_pred_token_f1 list | test_names list | test_passed list | tests_passed int64 | tests_total int64 | solved int64 | history_rewritten bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
summarysrc | none | bn-fit-modify | scientific-computing | hard | [
"bayesian-network",
"stats"
] | Evaluates the ability to recover a Bayesian Network DAG structure from data, perform causal interventions, and sample from the modified network. | 30 | [
{
"role": "user",
"source": "env",
"phase": "prompt",
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell... | [
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null
] | [
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null
] | [
"test_outputs.py::test_bn_sample_exists",
"test_outputs.py::test_learned_dag_structure_exists",
"test_outputs.py::test_learned_dag_structure_csv_col_names",
"test_outputs.py::test_learned_dag_structure",
"test_outputs.py::test_intervened_dag_structure_exists",
"test_outputs.py::test_intervened_dag_structu... | [
1,
1,
1,
0,
1,
1,
0,
0,
0
] | 5 | 9 | 0 | false |
summarysrc | none | cancel-async-tasks | software-engineering | hard | [
"async",
"concurrency",
"python"
] | Evaluates the ability to implement async task concurrency control with proper cleanup on cancellation, including the edge case of queued tasks. | 5 | [
{
"role": "user",
"source": "env",
"phase": "prompt",
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell... | [
null,
null,
null,
null,
null
] | [
null,
null,
null,
null,
null
] | [
"test_outputs.py::test_run_py_file_exists",
"test_outputs.py::test_tasks_run_concurrently",
"test_outputs.py::test_tasks_obey_max_concurrent",
"test_outputs.py::test_tasks_cancel_below_max_concurrent",
"test_outputs.py::test_tasks_cancel_at_max_concurrent",
"test_outputs.py::test_tasks_cancel_above_max_co... | [
1,
1,
1,
1,
1,
0
] | 5 | 6 | 0 | false |
summarysrc | none | circuit-fibsqrt | software-engineering | hard | [
"software-engineering"
] | "Evaluates the agent's ability to implement complex mathematical functions (Fibonacci of integer squ(...TRUNCATED) | 74 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | ["test_outputs.py::test_gates_file_exists","test_outputs.py::test_gates_file_size","test_outputs.py:(...TRUNCATED) | [
1,
1,
0
] | 2 | 3 | 0 | true |
summarysrc | none | cobol-modernization | software-engineering | easy | [
"coding"
] | "Evaluates the ability to reverse-engineer and reimplement a COBOL program's business logic in Pytho(...TRUNCATED) | 30 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | ["test_outputs.py::test_required_files_exist","test_outputs.py::test_data_files_exist","test_outputs(...TRUNCATED) | [
1,
1,
0
] | 2 | 3 | 0 | false |
summarysrc | none | code-from-image | software-engineering | medium | [
"ocr"
] | "Evaluates an agent's ability to extract code from an image using OCR or vision models, implement th(...TRUNCATED) | 83 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [
"test_outputs.py::test_output_file_exists",
"test_outputs.py::test_output_is_correct"
] | [
1,
0
] | 1 | 2 | 0 | true |
summarysrc | none | constraints-scheduling | personal-assistant | medium | [
"calendar",
"scheduling",
"constraint-satisfaction",
"ics-parsing",
"temporal-reasoning"
] | "Find an optimal 1-hour meeting slot for three people with complex availability constraints by parsi(...TRUNCATED) | 68 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | ["test_outputs.py::test_structure_event_title_attendees_duration_window","test_outputs.py::test_cons(...TRUNCATED) | [
0,
0,
0
] | 0 | 3 | 0 | true |
summarysrc | none | custom-memory-heap-crash | debugging | medium | [
"cpp",
"memory-management",
"debugging"
] | "Evaluates the ability to debug and fix a C++ program that crashes in release mode due to a static i(...TRUNCATED) | 30 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | ["test_outputs.py::test_protected_files_not_modified","test_outputs.py::test_program_compiles_debug"(...TRUNCATED) | [
1,
1,
1,
1,
0,
1
] | 5 | 6 | 0 | false |
summarysrc | none | db-wal-recovery | file-operations | medium | [
"database",
"encryption",
"recovery"
] | "Tests the ability to decrypt an XOR-encrypted SQLite WAL file and recover complete database content(...TRUNCATED) | 30 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | ["test_outputs.py::test_recovered_json_exists","test_outputs.py::test_recovered_json_is_valid","test(...TRUNCATED) | [
0,
0,
0,
0,
0,
0,
0
] | 0 | 7 | 0 | false |
summarysrc | none | dna-assembly | scientific-computing | hard | [
"biology",
"cloning"
] | "Evaluates the ability to design PCR primers for Golden Gate assembly by applying molecular biology (...TRUNCATED) | 32 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [
"test_outputs.py::test_primers"
] | [
0
] | 0 | 1 | 0 | false |
summarysrc | none | dna-insert | scientific-computing | medium | [
"biology",
"cloning"
] | "Evaluates the ability to design PCR primers for site-directed mutagenesis by analyzing plasmid sequ(...TRUNCATED) | 31 | [{"role":"user","source":"env","phase":"prompt","content":"You are an AI assistant tasked with solvi(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [
"test_outputs.py::test_primers"
] | [
0
] | 0 | 1 | 0 | false |
End of preview. Expand in Data Studio
No dataset card yet
- Downloads last month
- 58