| --- |
| license: mit |
| task_categories: |
| - text-generation |
| - text-classification |
| language: |
| - en |
| pretty_name: IntentSpec Benchmark |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: spec_pairs |
| default: true |
| data_files: |
| - split: train |
| path: spec_pairs.jsonl |
| - config_name: canonicals |
| data_files: |
| - split: train |
| path: canonicals.jsonl |
| --- |
| |
| # IntentSpec Benchmark — Data Supplement |
|
|
| This archive contains the benchmark data used to compute Intent Violation |
| Rate (IVR) in the paper: 49 tasks, each derived from a HumanEval problem and |
| extended with an ambiguous/gold prompt pair and a decomposed set of |
| executable constraints. |
|
|
| ## Files |
|
|
| ### `spec_pairs.jsonl` |
| |
| The benchmark itself — one JSON object per line, one line per task. This is |
| the file consumed directly by the evaluation pipeline (`run_experiment1.py`, |
| `validate_benchmark.py` in the software supplement). |
|
|
| Fields: |
|
|
| | Field | Type | Description | |
| |---------------------|-----------------|-------------| |
| | `task_id` | string | HumanEval task identifier, e.g. `"HumanEval/26"`. Matches the `task_id` in `canonicals.jsonl`. | |
| | `spec_type` | string | Category of the task. Currently always `"algorithm"`. | |
| | `ambiguous_prompt` | string | The under-specified prompt a developer might plausibly write — states only some of the task's real constraints. | |
| | `gold_prompt` | string | The fully clarified version of the prompt, stating every constraint explicitly. | |
| | `constraints` | list of objects | All atomic, executable constraints implied by the gold prompt (see below). | |
| | `stated_test_ids` | list of strings | IDs (from `constraints`) that are mentioned, even implicitly, in `ambiguous_prompt`. | |
| | `hidden_test_ids` | list of strings | IDs (from `constraints`) that appear only in `gold_prompt`, not in `ambiguous_prompt`. A solution that passes all `stated_test_ids` but fails one or more `hidden_test_ids` counts as an intent violation — this is what IVR measures. | |
|
|
| Each entry in `constraints` is an object: |
|
|
| | Field | Type | Description | |
| |---------------|--------|-------------| |
| | `id` | string | Local constraint identifier (e.g. `"C1"`), referenced by `stated_test_ids`/`hidden_test_ids`. | |
| | `description` | string | Human-readable statement of the constraint. | |
| | `test_code` | string | Executable Python snippet that calls `solution(...)` and asserts the constraint holds. Run by concatenating a candidate solution with this snippet and executing it; a zero exit code means the constraint passed. | |
|
|
| Example (abbreviated): |
|
|
| ```json |
| { |
| "task_id": "HumanEval/26", |
| "spec_type": "algorithm", |
| "ambiguous_prompt": "Write a function named `solution` that takes a list of integers and removes any elements that appear more than once.", |
| "gold_prompt": "Write a function named `solution` that takes a list of integers, removes all elements that occur more than once, preserves the original order of remaining elements, and returns a new list without mutating the input.", |
| "constraints": [ |
| {"id": "C1", "description": "Elements appearing more than once are removed", "test_code": "result = solution([1, 2, 3, 2, 4])\nassert 2 not in result"}, |
| {"id": "C2", "description": "Original order of remaining elements is preserved", "test_code": "..."}, |
| {"id": "C3", "description": "Input list is not mutated", "test_code": "..."}, |
| {"id": "C4", "description": "Empty list returns empty list", "test_code": "..."} |
| ], |
| "stated_test_ids": ["C1"], |
| "hidden_test_ids": ["C2", "C3", "C4"] |
| } |
| ``` |
|
|
| ### `canonicals.jsonl` |
|
|
| The original HumanEval reference (gold) solutions that `spec_pairs.jsonl` |
| was built from. Used for benchmark validation — confirming that a correct, |
| known-good solution passes every constraint (stated and hidden) for its |
| task, i.e. that IVR == 0 for canonical solutions. |
|
|
| Fields: |
|
|
| | Field | Type | Description | |
| |----------------------|--------|-------------| |
| | `task_id` | string | HumanEval task identifier, matches `spec_pairs.jsonl`. | |
| | `entry_point` | string | Name of the function under test in the original HumanEval problem. | |
| | `prompt` | string | Original HumanEval function signature + docstring. | |
| | `canonical_solution` | string | Original HumanEval reference implementation body. | |
| | `full_source` | string | `prompt` + `canonical_solution` concatenated into a runnable module. | |
|
|
| ## Provenance and licensing |
|
|
| Both files are derived from **HumanEval** |
| (https://github.com/openai/human-eval), released by OpenAI under the |
| **MIT License**. `canonicals.jsonl` reproduces HumanEval's original prompts |
| and reference solutions verbatim (field-renamed for our pipeline). |
| `spec_pairs.jsonl` is new work built on top of HumanEval: for each of the 49 |
| selected HumanEval tasks, we authored an ambiguous/gold prompt pair and a |
| decomposed set of constraint tests by hand, using the HumanEval problem |
| statement and reference solution as the source of ground truth. `task_id` |
| values (e.g. `"HumanEval/26"`) directly reference the corresponding upstream |
| HumanEval problem. |
|
|
| This derived data is released under the same MIT License as HumanEval, in |
| accordance with its terms. |
|
|
