| ---
|
| pretty_name: ThinkingBox-Bench
|
| license: cdla-permissive-2.0
|
| language:
|
| - en
|
| task_categories:
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| - reinforcement-learning
|
| tags:
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| - agent
|
| - tool-use
|
| - benchmark
|
| - evaluation
|
| configs:
|
| - config_name: tasks
|
| default: true
|
| data_files:
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| - split: test
|
| path: data/tasks.parquet
|
| - config_name: scenarios
|
| data_files:
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| - split: test
|
| path: data/scenarios.parquet
|
| - config_name: agents
|
| data_files:
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| - split: test
|
| path: data/agents.parquet
|
| ---
|
|
|
| # ThinkingBox-Bench
|
|
|
| ThinkingBox-Bench is an executable benchmark for evaluating whether tool-using
|
| LLM agents can reliably complete stateful business workflows. Version 1.0
|
| contains 507 tool-agent-user tasks across retail and e-commerce, travel and
|
| hospitality, auto insurance, neobank support, and consulting IT/HR support.
|
|
|
| This dataset repository provides a browsable representation of the benchmark.
|
| The executable benchmark, tool servers, and supporting fixtures are maintained
|
| in the
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| [`microsoft/thinkingbox-data`](https://github.com/microsoft/thinkingbox-data)
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| GitHub repository.
|
|
|
| ## Dataset structure
|
|
|
| | Subset | Rows | Contents |
|
| | - | -: | - |
|
| | `tasks` | 507 | User goal, initial-state patch, expected tool interactions, and rubrics |
|
| | `scenarios` | 5 | Shared world state and available tools, linked by `scenario_id` |
|
| | `agents` | 1 | Agent instructions and built-in tools |
|
|
|
| Select a subset using the Dataset Viewer dropdown. Each task references its
|
| shared scenario through `scenario_id`. Nested task state and expected
|
| interactions are serialized as JSON strings so they remain readable and
|
| portable in the Viewer.
|
|
|
| ### Task fields
|
|
|
| | Field | Description |
|
| | - | - |
|
| | `task_ref` | Canonical `file.py:function_name` identifier from the release test list |
|
| | `domain` | Human-readable benchmark domain |
|
| | `scenario_id` | Key linking the task to its shared row in the `scenarios` subset |
|
| | `query` | Initial request sent by the simulated user |
|
| | `user_context` | Instructions and facts available to the simulated user |
|
| | `initial_state_patch_json` | JSON object applied to the scenario's base world state before the task starts |
|
| | `expected_tool_interactions_json` | Ordered golden tool calls that define the expected state changes |
|
| | `rubrics_json` | Additional response requirements evaluated for applicable tasks |
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| | `source_url` | Tagged GitHub source containing the executable test definition |
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| | `release_tag` | Immutable `thinkingbox-data` release used to generate the row |
|
|
|
| The dataset does not store a precomputed expected end state. During evaluation,
|
| the scenario's MCP server creates a fresh database, applies
|
| `initial_state_patch_json`, and replays `expected_tool_interactions_json` to
|
| materialize the `golden_db_state`. It then compares the stable hash of that
|
| state with the hash of the database modified by the evaluated agent. This
|
| runtime process ensures the expected state uses the same tool implementation
|
| and database semantics as the agent's attempt.
|
|
|
| ## Intended use
|
|
|
| ThinkingBox-Bench v1.0 is intended exclusively for evaluation. Do not use its
|
| task content, expected outcomes, golden state, or tool trajectories for prompt
|
| optimization, fine-tuning, reinforcement learning, reward-model training, or
|
| other model optimization.
|
|
|
| ## Run the benchmark
|
|
|
| The Parquet tables are for browsing and analysis; they are not the executable
|
| runtime. Follow the
|
| [ThinkingBox-Bench v1.0 instructions](https://github.com/microsoft/thinkingbox-data/blob/thinkingbox-bench-v1.0/releases/thinkingbox_bench_v1/README.md#run-the-benchmark)
|
| to install ThinkingBox, start the required services, and run all 507 tasks.
|
|
|
| For reproducibility, use the
|
| [`thinkingbox-bench-v1.0`](https://github.com/microsoft/thinkingbox-data/releases/tag/thinkingbox-bench-v1.0)
|
| release.
|
|
|
| ## License
|
|
|
| The dataset is licensed under the Community Data License Agreement -
|
| Permissive - Version 2.0 (`CDLA-Permissive-2.0`). See `LICENSE.txt`.
|
|
|
