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README.md

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+---
+pretty_name: SCBench Problems
+license: mit
+task_categories:
+- text-generation
+tags:
+- code
+- benchmark
+- iterative-specification
+- python
+- js
+- c++
+- rust
+- java
+- scbench
+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: c++
+  data_files:
+  - split: test
+    path: data/c++/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
+---
+        # SCBench Problems
+
+        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
+
+        - Language subsets: `python`, `js`, `c++`, `rust`, `java`
+        - Problems: 36 problems
+        - Rows: 980 rows
+        - Columns: `problem`, `Checkpoint number`, `language`, `instruction`, `tests`
+
+        Rows per subset:
+
+        - `python`: 196 rows
+- `js`: 196 rows
+- `c++`: 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
+
+        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.