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README.md

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+---
+license: mit
+task_categories:
+  - text-generation
+  - question-answering
+language:
+  - en
+  - code
+tags:
+  - code
+  - program-analysis
+  - runtime-behavior
+  - execution-traces
+  - code-reasoning
+  - python
+pretty_name: "REval: Reasoning Evaluation"
+size_categories:
+  - n<1K
+dataset_info:
+  - config_name: problems
+    features:
+      - name: task_id
+        dtype: string
+      - name: code
+        dtype: string
+      - name: entry_point
+        dtype: string
+      - name: test
+        dtype: string
+      - name: inputs
+        sequence: string
+      - name: outputs
+        sequence: string
+    splits:
+      - name: test
+        num_examples: 154
+  - config_name: tasks
+    features:
+      - name: task_id
+        dtype: string
+      - name: idx
+        dtype: int32
+      - name: tasks
+        dtype: string
+    splits:
+      - name: test
+        num_examples: 154
+  - config_name: executions
+    features:
+      - name: task_id
+        dtype: string
+      - name: idx
+        dtype: int32
+      - name: input_idx
+        dtype: int32
+      - name: problem_type
+        dtype: string
+      - name: input
+        dtype: string
+      - name: expected_output
+        dtype: string
+      - name: actual_output
+        dtype: string
+      - name: status
+        dtype: string
+      - name: trace
+        sequence: int32
+      - name: coverage
+        sequence: int32
+      - name: num_states
+        dtype: int32
+      - name: code_hash
+        dtype: string
+      - name: error
+        dtype: string
+    splits:
+      - name: test
+        num_examples: 694
+  - config_name: states
+    features:
+      - name: task_id
+        dtype: string
+      - name: idx
+        dtype: int32
+      - name: input_idx
+        dtype: int32
+      - name: states
+        dtype: string
+    splits:
+      - name: test
+        num_examples: 694
+configs:
+  - config_name: problems
+    data_files:
+      - split: test
+        path: "data/problems.jsonl"
+    default: true
+  - config_name: tasks
+    data_files:
+      - split: test
+        path: "data/tasks.jsonl"
+  - config_name: executions
+    data_files:
+      - split: test
+        path: "data/executions.jsonl"
+  - config_name: states
+    data_files:
+      - split: test
+        path: "data/states.jsonl"
+---
+
+# REval: Reasoning Runtime Behavior of a Program with LLM
+
+REval is a benchmark for evaluating Large Language Models' ability to reason about the **runtime behavior** of Python programs.
+
+> **Reasoning Runtime Behavior of a Program with LLM: How Far Are We?**
+> Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
+> ICSE 2025
+> [Paper](https://doi.org/10.1109/ICSE55347.2025.00087) | [GitHub](https://github.com/r-eval/REval/)
+
+## Dataset Summary
+
+| | |
+|---|---|
+| **Problems** | 154 (85 HumanEval + 69 ClassEval) |
+| **Test-case executions** | 694 (with full execution traces) |
+| **Reasoning tasks** | Coverage, Path, State, Output, Consistency |
+| **Ground truth** | Line coverage, execution traces, variable states at every step |
+| **License** | MIT |
+
+## Reasoning Tasks
+
+1. **Coverage** -- Predict whether a specific line of code is executed for a given input
+2. **Path** -- Determine the next line that will be executed after a given line
+3. **State** -- Infer variable values at specific execution points
+4. **Output** -- Complete test code based on expected execution behavior
+5. **Consistency** -- Combined score measuring consistency across all four tasks
+
+## Configurations
+
+| Config | Records | Description |
+|--------|---------|-------------|
+| `problems` (default) | 154 | Problem definitions: code, inputs, expected outputs |
+| `tasks` | 154 | Task specifications: which lines/variables to query per input |
+| `executions` | 694 | Execution traces and line coverage per (problem, input) pair |
+| `states` | 694 | Variable states at each executed line |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load problem definitions (default config)
+problems = load_dataset("r-eval/REval", "problems", split="test")
+print(f"{len(problems)} problems")
+print(problems[0]["task_id"])  # "DREval/0"
+print(problems[0]["entry_point"])  # "has_close_elements"
+
+# Load execution traces
+executions = load_dataset("r-eval/REval", "executions", split="test")
+print(executions[0]["trace"])  # [11, 12, 13, 12, 13, 14, 15, ...]
+print(executions[0]["coverage"])  # [11, 12, 13, 14, 15, 16]
+
+# Load variable states (states field is a JSON string -- parse it)
+import json
+states = load_dataset("r-eval/REval", "states", split="test")
+state_list = json.loads(states[0]["states"])
+# Each state: {"lineno": 0, "locals": {"var": {"__type__": "int", "__value__": 1}}}
+
+# Load task specifications (tasks field is a JSON string)
+tasks = load_dataset("r-eval/REval", "tasks", split="test")
+task_list = json.loads(tasks[0]["tasks"])
+# Each task: {"input_idx": 0, "task": [{"lineno": 17, "var": "distance"}, ...], "output_pred": "..."}
+```
+
+## Data Fields
+
+### `problems` config
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `task_id` | string | Unique identifier, e.g. `"DREval/0"` |
+| `code` | string | Complete Python source code (signature + docstring + solution) |
+| `entry_point` | string | Function or class name |
+| `test` | string or null | Unittest code for ClassEval problems; null for HumanEval |
+| `inputs` | list[string] | Test inputs as Python expressions |
+| `outputs` | list[string] | Expected outputs as strings |
+
+**Problem types:**
+- **HumanEval** (idx 0--84): Standalone functions. `test` is null, `outputs` is non-empty.
+- **ClassEval** (idx 85--153): OOP classes. `test` contains unittest code, `outputs` is empty.
+
+### `tasks` config
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `task_id` | string | Unique identifier |
+| `idx` | int | Problem index |
+| `tasks` | string (JSON) | JSON-encoded list of per-input task definitions |
+
+Each entry in the parsed `tasks` list contains:
+- `input_idx` (int): Index into the problem's inputs/outputs arrays
+- `task` (list[object]): Variable queries -- each has `lineno` (1-indexed) and `var` (variable name)
+- `output_pred` (string): Output prediction template (e.g. `"assert func(args) == ??"`)
+
+### `executions` config
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `task_id` | string | Problem identifier |
+| `idx` | int | Problem index |
+| `input_idx` | int | Which test input was used |
+| `problem_type` | string | `"humaneval"` or `"classeval"` |
+| `input` | string | The specific input expression |
+| `expected_output` | string | Expected output |
+| `actual_output` | string | Actual output from execution |
+| `status` | string | `"ok"` or `"error"` |
+| `trace` | list[int] | 0-indexed line execution sequence |
+| `coverage` | list[int] | Sorted unique executed lines (0-indexed) |
+| `num_states` | int | Number of state snapshots captured |
+| `code_hash` | string | SHA-256 of the source code |
+| `error` | string or null | Error message if `status="error"`, null otherwise |
+
+### `states` config
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `task_id` | string | Problem identifier |
+| `idx` | int | Problem index |
+| `input_idx` | int | Which test input was used |
+| `states` | string (JSON) | JSON-encoded list of state objects |
+
+Each state object in the parsed list:
+- `lineno` (int): 0-indexed line number
+- `locals` (dict): Variable name to typed value envelope (`{"__type__": "int", "__value__": 42}`)
+- `return` (optional): Return value in the same envelope format
+- `exception` (optional): Exception info if one was raised
+
+**Supported value types in envelopes:** `int`, `float`, `bool`, `str`, `NoneType`, `list`, `tuple`, `set`, `dict`, `Nil` (uninitialized), `numpy.ndarray`, `datetime.datetime`, and custom objects. Special float values: `"nan"`, `"inf"`, `"-inf"`.
+
+## Line Number Conventions
+
+- **`executions` config** (`trace`, `coverage`): **0-indexed** line numbers
+- **`states` config** (`lineno`): **0-indexed** line numbers
+- **`tasks` config** (`lineno` in task queries): **1-indexed** line numbers (for use in prompts)
+
+## Known Issues
+
+- Problems `DREval/117` and `DREval/149` import `gensim` (not included in dependencies). Their ground truth records have `status="error"` with empty traces.
+- Arrows to the next executed lines for ClassEval do not take into account test code. 
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@inproceedings{chen2025reval,
+  title     = {Reasoning Runtime Behavior of a Program with LLM: How Far Are We?},
+  author    = {Junkai Chen and Zhiyuan Pan and Xing Hu and Zhenhao Li and Ge Li and Xin Xia},
+  booktitle = {Proceedings of the 47th IEEE/ACM International Conference on Software Engineering (ICSE)},
+  year      = {2025},
+  doi       = {10.1109/ICSE55347.2025.00087}
+}
+```
+
+## Source
+
+- **Repository:** [github.com/r-eval/REval](https://github.com/r-eval/REval/)
+- **Paper:** [Reasoning Runtime Behavior of a Program with LLM: How Far Are We?](https://doi.org/10.1109/ICSE55347.2025.00087) (ICSE 2025)
+- **License:** MIT

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