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+---
+pretty_name: Anonymized Iterative Code Benchmark Problems
+license: mit
+task_categories:
+- text-generation
+tags:
+- code
+- benchmark
+- iterative-specification
+- python
+- js
+- cpp
+- rust
+- java
+- anonymized
+size_categories:
+- n<1K
+configs:
+- config_name: python
+  data_files:
+  - split: test
+    path: data/python/test.parquet
+- config_name: js
+  data_files:
+  - split: test
+    path: data/js/test.parquet
+- config_name: cpp
+  data_files:
+  - split: test
+    path: data/cpp/test.parquet
+- config_name: rust
+  data_files:
+  - split: test
+    path: data/rust/test.parquet
+- config_name: java
+  data_files:
+  - split: test
+    path: data/java/test.parquet
+---
+# Anonymized Iterative Code Benchmark Problems
+
+This anonymized dataset contains multi-checkpoint coding tasks for
+evaluating agents under iterative specification refinement. Problem
+identifiers, source repository identifiers, and author fields are
+intentionally omitted.
+
+## Dataset summary
+
+- Language subsets: `python`, `js`, `cpp`, `rust`, `java`
+- Problems: 36 problems
+- Rows: 980 rows
+- Columns: `problem`, `Checkpoint number`, `language`, `difficulty`, `tags`, `instruction`, `tests`
+
+Rows per subset:
+
+- `python`: 196 rows
+- `js`: 196 rows
+- `cpp`: 196 rows
+- `rust`: 196 rows
+- `java`: 196 rows
+
+Category distribution:
+
+- developer-tools: 8
+- web: 7
+- data-processing: 6
+- cli-tools: 5
+- algorithms: 2
+- configuration-management: 2
+- dsl: 2
+- databases: 1
+- file-systems: 1
+- networking: 1
+- simulation: 1
+
+Difficulty distribution:
+
+- Easy: 12
+- Hard: 12
+- Medium: 12
+
+## Using the `tests` field
+
+Each row includes a `tests` value containing a complete Bash test runner
+for that checkpoint. Save it as a file, then run it against a submission
+directory whose contents implement the entry file named in the
+`instruction` field.
+
+### Test script examples
+
+Write and run one checkpoint from Python:
+
+```python
+from pathlib import Path
+import subprocess
+
+from datasets import load_dataset
+
+dataset = load_dataset("anon/dsn26", "python", split="test")
+row = dataset[0]
+
+test_path = Path("test.sh")
+test_path.write_text(row["tests"])
+test_path.chmod(0o755)
+
+subprocess.run(["bash", str(test_path), "/path/to/submission"], check=True)
+```
+
+Run a saved test script directly:
+
+```bash
+bash test.sh /path/to/submission
+```
+
+Use a local problems checkout to avoid cloning:
+
+```bash
+BENCH_PROBLEMS_REPO=/path/to/problems bash test.sh /path/to/submission
+```
+
+Keep the temporary workspace for debugging:
+
+```bash
+BENCH_KEEP_WORKDIR=1 bash test.sh /path/to/submission
+```
+
+The runner creates a temporary workspace, copies the submission into it,
+materializes the relevant checkpoint tests and static assets, installs
+Python test dependencies in a virtual environment, and invokes `pytest`.
+Set `BENCH_PROBLEMS_REPO` to an existing problems checkout to
+avoid cloning. Set `BENCH_KEEP_WORKDIR=1` to keep the temporary
+workspace for debugging.
+
+For `cpp`, `rust`, and `java` subsets, the runner compiles the declared
+source file with `g++`, `rustc`, or `javac` before running the Python
+test harness. The `js` subset expects `node` to be available.