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README.md

@@ -9,7 +9,7 @@ tags:
 - iterative-specification
 - python
 - js
-- c++
+- cpp
 - rust
 - java
 - scbench
@@ -24,10 +24,10 @@ configs:
   data_files:
   - split: test
     path: data/js/test.parquet
-- config_name: c++
+- config_name: cpp
   data_files:
   - split: test
-    path: data/c++/test.parquet
+    path: data/cpp/test.parquet
 - config_name: rust
   data_files:
   - split: test
@@ -37,32 +37,32 @@ configs:
   - split: test
     path: data/java/test.parquet
 ---
-        # SCBench Problems
+# SCBench Problems
 
-        This dataset contains SlopCodeBench (SCBench) problem checkpoints for
+This dataset contains SlopCodeBench (SCBench) problem checkpoints for
 evaluating coding agents under iterative specification refinement.
 
 Source repository: `https://github.com/SprocketLab/scb-problems.git`
 Source revision: `ba1f7fec544dae4ff274d2447d9b65aebfbc5196`
 
-        ## Dataset summary
+## Dataset summary
 
-        - Language subsets: `python`, `js`, `c++`, `rust`, `java`
-        - Problems: 36 problems
-        - Rows: 980 rows
-        - Columns: `problem`, `Checkpoint number`, `language`, `instruction`, `tests`
+- 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:
+Rows per subset:
 
-        - `python`: 196 rows
+- `python`: 196 rows
 - `js`: 196 rows
-- `c++`: 196 rows
+- `cpp`: 196 rows
 - `rust`: 196 rows
 - `java`: 196 rows
 
-        Category distribution:
+Category distribution:
 
-        - developer-tools: 8
+- developer-tools: 8
 - web: 7
 - data-processing: 6
 - cli-tools: 5
@@ -74,62 +74,64 @@ Source revision: `ba1f7fec544dae4ff274d2447d9b65aebfbc5196`
 - networking: 1
 - simulation: 1
 
-        Difficulty distribution:
+Difficulty distribution:
 
-        - Easy: 12
+- Easy: 12
 - Hard: 12
 - Medium: 12
 
-        Top tags:
-
-        - cli-tools: 21
-- json: 11
-- file-io: 9
-- yaml: 9
-- schema-validation: 6
-- data-processing: 5
-- rest-api: 5
-- argument-parsing: 4
-- caching: 4
-- config-management: 4
-- data-transformation: 4
-- optimization: 4
-- parsing: 4
-- code-generation: 3
-- crud: 3
-- csv: 3
-- csv-parsing: 3
-- dependency-resolution: 3
-- graph-algorithms: 3
-- http-server: 3
-
-        ## 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.
-
-        ```python
-        from pathlib import Path
-        from datasets import load_dataset
-
-        dataset = load_dataset("gabeorlanski/slopcodebench", "python", split="test")
-        row = dataset[0]
-        Path("test.sh").write_text(row["tests"])
-        ```
-
-        ```bash
-        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 `SCB_PROBLEMS_REPO` to an existing problems checkout to
-        avoid cloning. Set `SCB_KEEP_WORKDIR=1` to keep the temporary
-        workspace for debugging.
-
-        For `c++`, `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.
+## 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("gabeorlanski/slopcodebench", "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
+SCB_PROBLEMS_REPO=/path/to/scb-problems bash test.sh /path/to/submission
+```
+
+Keep the temporary workspace for debugging:
+
+```bash
+SCB_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 `SCB_PROBLEMS_REPO` to an existing problems checkout to
+avoid cloning. Set `SCB_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.