| --- |
| pretty_name: SciCode-Verified |
| license: apache-2.0 |
| language: |
| - en |
| annotations_creators: |
| - expert-generated |
| source_datasets: |
| - extended |
| task_categories: |
| - text-generation |
| size_categories: |
| - n<1K |
| tags: |
| - code |
| - science |
| - benchmark |
| - code-generation |
| - scientific-coding |
| - llm-evaluation |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/problems_test.jsonl |
| --- |
| |
| # SciCode-Verified |
|
|
| SciCode-Verified is the corrected, human-verified release of the |
| [SciCode](https://github.com/scicode-bench/SciCode) scientific-code-generation benchmark. |
| A problem-by-problem audit identified 263 defects in the 65-problem SciCode test split and |
| corrected every confirmable defect. The released evaluation set contains 64 main problems and |
| 287 scored subproblems; one original problem is excluded because its specification does not |
| determine a unique, verifiable answer. |
|
|
| - **Paper:** [SciCode-Verified: How Benchmark Defects Underestimated the Scientific-Coding Ability of Language Models](https://arxiv.org/abs/2608.04975) |
| - **Code, evaluation harness, and audit trail:** [github.com/flyingwagner/scicode-verified](https://github.com/flyingwagner/scicode-verified) |
| - **Original benchmark:** [SciCode](https://arxiv.org/abs/2407.13168) |
|
|
| ## Files |
|
|
| | File | Purpose | |
| |---|---| |
| | `data/problems_test.jsonl` | Corrected prompts and problem specifications, one main problem per line | |
| | `test_data_cleaned.h5` | Corrected frozen grading targets used by the evaluation harness | |
| | `manifest.json` | Release version, problem order, and MD5 checksums | |
| | `LICENSE` | Apache License 2.0 inherited from the upstream benchmark | |
|
|
| Release `v2` checksums: |
|
|
| ```text |
| 5c604d8dbf52642bd94e13b92c8f52eb data/problems_test.jsonl |
| 2b41a7df40ddc23ce651ec05b8ecb6f8 test_data_cleaned.h5 |
| ``` |
|
|
| ## Load the problem specifications |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("shhu2001/SciCode-Verified", split="test") |
| print(dataset[0]) |
| ``` |
|
|
| ## Download the grading targets |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| h5_path = hf_hub_download( |
| repo_id="shhu2001/SciCode-Verified", |
| repo_type="dataset", |
| filename="test_data_cleaned.h5", |
| ) |
| ``` |
|
|
| The full generation, grading, multi-environment evaluation, and integrity-check workflow is |
| documented in the [GitHub repository](https://github.com/flyingwagner/scicode-verified). Model |
| outputs and evaluation logs are intentionally not included in this dataset repository. |
|
|
| ## License and attribution |
|
|
| SciCode-Verified is derived from SciCode and redistributed under the Apache License 2.0. Please |
| cite both the original SciCode benchmark and SciCode-Verified. |
|
|
| ```bibtex |
| @article{hu2026scicodeverified, |
| title = {{SciCode-Verified}: How Benchmark Defects Underestimated the Scientific-Coding Ability of Language Models}, |
| author = {Hu, Sihan and Huang, Lyuhan and Deng, Youjin and Chen, Kun}, |
| year = {2026}, |
| eprint = {2608.04975}, |
| archivePrefix = {arXiv}, |
| primaryClass = {cs.SE}, |
| url = {https://arxiv.org/abs/2608.04975} |
| } |
| |
| @article{tian2024scicode, |
| title = {{SciCode}: A Research Coding Benchmark Curated by Scientists}, |
| author = {Tian, Minyang and Gao, Luyu and Zhang, Shizhuo Dylan and Chen, Xinan and others}, |
| year = {2024}, |
| eprint = {2407.13168}, |
| archivePrefix = {arXiv}, |
| primaryClass = {cs.AI}, |
| url = {https://arxiv.org/abs/2407.13168} |
| } |
| ``` |
|
|
