Publish ThinkingBox-Bench v1.0 dataset viewer

LICENSE.txt

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+This repository is dual-licensed by content type:
+
+  - Software (code under servers/ and any first-party Python in this repo)
+    is licensed under the MIT License (SPDX: MIT) — see the MIT section
+    below.
+
+  - Data (content under dataset/, support/, and releases/) is licensed under
+    the Community Data License Agreement – Permissive – Version 2.0 (SPDX:
+    CDLA-Permissive-2.0) — see the CDLA section below. The canonical text
+    is published at https://cdla.dev/permissive-2-0/.
+
+When redistributing data from this repository, include this LICENSE.txt
+alongside the redistributed data, as required by section 2.1 of the CDLA.
+
+
+================================================================================
+MIT License (applies to software / code)
+================================================================================
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+Copyright (c) Microsoft Corporation.
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+================================================================================
+CDLA-Permissive-2.0 (applies to data)
+================================================================================
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+Copyright (c) 2026 Microsoft Corporation
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+
+Community Data License Agreement – Permissive – Version 2.0
+
+This is the Community Data License Agreement – Permissive, Version 2.0 (the
+"agreement"). Data Provider(s) and Data Recipient(s) agree as follows:
+
+1. Provision of the Data
+
+1.1. A Data Recipient may use, modify, and share the Data made available by
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+3. No Restrictions on Results
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+3.1. This agreement does not impose any restriction or obligations with
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+including for example machine learning models and models' insights.

README.md

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+---
+pretty_name: ThinkingBox-Bench
+license: cdla-permissive-2.0
+language:
+  - en
+task_categories:
+  - reinforcement-learning
+tags:
+  - agent
+  - tool-use
+  - benchmark
+  - evaluation
+configs:
+  - config_name: tasks
+    default: true
+    data_files:
+      - split: test
+        path: data/tasks.parquet
+  - config_name: scenarios
+    data_files:
+      - split: test
+        path: data/scenarios.parquet
+  - config_name: agents
+    data_files:
+      - 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
+[`microsoft/thinkingbox-data`](https://github.com/microsoft/thinkingbox-data)
+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 |
+| `source_url` | Tagged GitHub source containing the executable test definition |
+| `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`.

data/agents.parquet

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+size 12731

data/scenarios.parquet

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data/tasks.parquet

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