Release Frontier-CS 1.1 algorithmic dataset

LICENSE

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+Frontier-CS 1.1 (FCS1.1): Algorithmic Problems
+
+This dataset release is licensed under the Creative Commons Attribution 4.0
+International License (CC BY 4.0), except for upstream material that retains
+its original license as described below.
+
+License: https://creativecommons.org/licenses/by/4.0/
+Full legal code: https://creativecommons.org/licenses/by/4.0/legalcode
+
+Original files from the Frontier-CS repository retain their MIT License.
+The original copyright notice and full MIT license are included in LICENSE-MIT.
+The CC BY 4.0 dataset license does not replace those original terms.
+
+Source: https://github.com/FrontierCS/Frontier-CS
+Attribution: FrontierCS authors and contributors.
+This release packages the source problem bank as a Hugging Face dataset;
+original problem file contents are unchanged.

LICENSE-MIT

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+MIT License
+
+Copyright (c) 2025 FrontierCS Team
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+pretty_name: Frontier-CS 1.1 (FCS1.1) Algorithmic
+language:
+- en
+license: cc-by-4.0
+task_categories:
+- text-generation
+size_categories:
+- n<1K
+tags:
+- benchmark
+- code
+- algorithms
+- optimization
+- interactive-problems
+- computer-science
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test.parquet
+---
+
+# Frontier-CS 1.1 (FCS1.1): Algorithmic Problems
+
+This is the algorithmic problem dataset for **Frontier-CS 1.1 (FCS1.1)**.
+It packages **180 algorithmic problems** from the
+[Frontier-CS repository](https://github.com/FrontierCS/Frontier-CS), including
+their original statements, evaluation configurations, checkers or interactors,
+and released test data. The problems cover challenging algorithm design and
+optimization tasks, with task-specific evaluation and scoring.
+
+The dataset contains **107 `default` problems** and **73 `interactive` problems**.
+The source problems are available in the repository's
+[`algorithmic/problems`](https://github.com/FrontierCS/Frontier-CS/tree/main/algorithmic/problems)
+directory.
+
+## Load the problem table
+
+```python
+from datasets import load_dataset
+
+problems = load_dataset("FrontierCS2/FrontierCS-v1.1", split="test")
+print(len(problems))  # 180
+print(problems[0]["problem_id"])  # "0"
+print(problems[0]["statement"])
+```
+
+There is one row per problem, sorted by numeric problem ID. IDs are stored as
+strings and are not consecutive. The single `test` split is a packaging choice
+for benchmark use, not a train/test partition provided by the upstream project.
+All bundled test files are already public in the source repository.
+
+## Data fields
+
+| Field | Type | Description |
+| --- | --- | --- |
+| `problem_id` | string | Original problem directory name. |
+| `statement` | string | Complete, unchanged UTF-8 content of `statement.txt`. |
+| `type` | string | `default` or `interactive`, copied from `config.yaml`. |
+| `time_limit` | string | Solution time limit in the source notation, such as `2s`. |
+| `memory_limit` | string | Solution memory limit in the source notation, such as `256m`. |
+| `config_yaml` | string | Complete, unchanged evaluation configuration. |
+| `checker_file` | string or null | Value of the source `checker` key, when present. |
+| `interactor_file` | string or null | Value of the source `interactor` key, when present. |
+| `num_test_inputs` | int64 | Number of `testdata/*.in` files. |
+| `num_test_answers` | int64 | Number of `testdata/*.ans` files. |
+| `archive_path` | string | `problems.tar.gz`, the single archive containing all 180 problems. |
+| `source_url` | string | Source problem directory URL recorded during packaging. |
+| `source_commit` | string | Source Git commit recorded for data provenance. |
+
+The two filename fields expose the original YAML keys without reinterpretation.
+For evaluation, use the full configuration and the upstream runner.
+
+## Full problem files
+
+The single archive [`problems.tar.gz`](resolve/main/problems.tar.gz) contains
+all 180 problems and every tracked file from their source directories,
+including test data, checkers or interactors, supplied examples, generators,
+and other auxiliary files. Archive members retain paths under
+`algorithmic/problems/<problem_id>/`.
+
+```python
+from huggingface_hub import hf_hub_download
+
+archive = hf_hub_download(
+    repo_id="FrontierCS2/FrontierCS-v1.1",
+    repo_type="dataset",
+    filename="problems.tar.gz",
+)
+print(archive)
+```
+
+To extract all problems with Python 3.12 or later:
+
+```python
+import tarfile
+
+with tarfile.open(archive, "r:gz") as bundle:
+    bundle.extractall("frontiercs-data", filter="data")
+```
+
+The Parquet table contains statements and metadata. Download `problems.tar.gz`
+once to obtain the complete problem bank. Loading the table alone does not
+download the archive.
+
+```text
+README.md
+LICENSE
+LICENSE-MIT
+data/test.parquet
+problems.tar.gz
+metadata/files.jsonl
+metadata/provenance.json
+```
+
+`metadata/files.jsonl` lists the original path, byte size, and SHA-256 of all
+12,299 source files. `metadata/provenance.json` records packaging provenance,
+dataset statistics, and archive checksums.
+The source directories contain 5,861 `.in` files and 5,861 `.ans` files;
+other auxiliary files are also retained.
+
+## Evaluation
+
+Use this dataset to browse tasks, construct prompts, and retrieve the released
+problem assets. Evaluation requires the
+[Frontier-CS evaluation software](https://github.com/FrontierCS/Frontier-CS/tree/main)
+and its documented runtime dependencies; the archive alone is not a complete
+judge installation. Follow the installation and evaluation instructions in the
+upstream repository.
+
+For example, after installing the upstream project and configuring its judge:
+
+```bash
+frontier eval algorithmic 0 solution.cpp
+```
+
+Interactive problems require the provided interaction protocol and interactor.
+Scoring is problem-specific: consult each statement, configuration, and checker
+or interactor. Test answer files are evaluation assets, not a collection of
+canonical solution programs. Example solutions are included only where they
+exist in the source directory.
+
+## Benchmark use
+
+Because the problems and evaluation assets are public, benchmark results should
+describe any use of these materials for training, tuning, or iterative feedback.
+This release does not introduce a hidden evaluation set or new reference scores.
+
+## License
+
+The results, patches and traces are released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Code from the upstream research artifacts that appears inside patches or traces stays under its own license.
+
+## Citation
+
+```bibtex
+@misc{mang2026frontiercs2,
+  title     = {{FrontierCS} 2: A Benchmark for Computer Science {R\&D}},
+  author    = {Qiuyang Mang and Wenhao Chai and Runyuan He and Dongruixuan Li and Zihan Zheng and
+               Yujun He and Xuanyi Zhou and Hao Wang and Siddhant Ray and Bo Peng and Ruyi Ji and
+               Shuo Yang and Haocheng Xi and Boru Chen and Xinyang David Han and Melissa Pan and
+               Mayank Mishra and Boxi Yu and Sijia Liu and Kerem Akillioglu and Yi Pan and
+               Zirui Wang and Mert Cemri and Diogo Antunes and Yichuan Wang and
+               Aiwei Ivy Zhang and Zhenyang Chen and Qizheng Zhang and Kaiyuan Liu and
+               Wenyuan Huang and Sherry Ruan and Shu Liu and Dacheng Li and Zerui Cheng and
+               Zeyu Shen and Shang Zhou and Hanfei Chen and Yuzhong Zhang and Bohan Lyu and
+               Qu Ao and Han Zheng and Chonghe Jiang and Jingzhuo Hu and Xiaokun Chen and
+               Kunjun Li and Zhiqing Zhong and Haoye Tian and Tong Zhao and Yunzhong He and
+               Hanchen Li and Ofir Press and Jiantao Jiao and Kunle Olukotun and
+               Karthik R. Narasimhan and Jingbo Shang and Koushik Sen and Matei Zaharia and
+               Alex Dimakis and Ion Stoica and Joseph E. Gonzalez and Alvin Cheung},
+  year      = {2026},
+  url       = {https://frontier-cs.org/}
+}
+```
+
+and FrontierCS:
+
+```bibtex
+@inproceedings{mang2026frontiercs,
+  title     = {{FrontierCS}: Evolving Challenges for Evolving Intelligence},
+  author    = {Mang, Qiuyang and Chai, Wenhao and Li, Zhifei and others},
+  booktitle = {Proceedings of the International Conference on Machine Learning},
+  year      = {2026}
+}
+```

data/test.parquet

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+oid sha256:9f951654612df3f59dddce619ef3e4b7259a94254463a894a99d71524cd51cc0
+size 236791

metadata/provenance.json

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+{
+  "source_repository": "https://github.com/FrontierCS/Frontier-CS",
+  "source_commit": "aec2aff05f3ece1b150c7c40827b0cea449e0b28",
+  "source_directory": "algorithmic/problems",
+  "dataset_id": "FrontierCS2/FrontierCS-v1.1",
+  "split": "test",
+  "num_problems": 180,
+  "problem_types": {
+    "default": 107,
+    "interactive": 73
+  },
+  "num_source_files": 12299,
+  "source_bytes": 2177792752,
+  "num_test_inputs": 5861,
+  "num_test_answers": 5861,
+  "archive_bytes": 633682478,
+  "missing_image_references": [
+    {
+      "problem_id": "147",
+      "reference": "./images/dbec47df66576ff9e5b5ace9df6d9110.png"
+    },
+    {
+      "problem_id": "151",
+      "reference": "./images/1bc7c896310a65486d0ce3aa275f41b7.png"
+    },
+    {
+      "problem_id": "157",
+      "reference": "./images/example.gif"
+    },
+    {
+      "problem_id": "159",
+      "reference": "./images/example.gif"
+    },
+    {
+      "problem_id": "160",
+      "reference": "./images/b639c75d_2.png"
+    },
+    {
+      "problem_id": "160",
+      "reference": "./images/b639c75d_3.png"
+    },
+    {
+      "problem_id": "160",
+      "reference": "./images/b639c75d_4.png"
+    },
+    {
+      "problem_id": "160",
+      "reference": "./images/b639c75d_5.png"
+    }
+  ],
+  "archives": [
+    {
+      "path": "problems.tar.gz",
+      "size_bytes": 633682478,
+      "sha256": "362154c9ea64e3356859a4586911fe8587cc9f8a4520316038e222452931ce64",
+      "num_files": 12299,
+      "num_problems": 180
+    }
+  ]
+}

problems.tar.gz

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