Datasets:
v1.0 clean: deduped, filtered, categorized, proper configs - see README
Browse files- README.md +125 -0
- cleanup_report.json +20 -0
- data/open_problems_eval/train.parquet +3 -0
- data/problems/test.parquet +3 -0
- data/problems/train.parquet +3 -0
- data/problems/validation.parquet +3 -0
- data/research_prompts/test.parquet +3 -0
- data/research_prompts/train.parquet +3 -0
- data/research_prompts/validation.parquet +3 -0
README.md
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---
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license: cc-by-4.0
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language:
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- en
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pretty_name: Unsolved Math Clean
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tags:
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- mathematics
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- open-problems
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- research
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- benchmark
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- reasoning
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- latex
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- clean
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task_categories:
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- question-answering
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- text-generation
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: problems
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default: true
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data_files:
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- split: train
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path: data/problems/train.parquet
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- split: validation
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path: data/problems/validation.parquet
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- split: test
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path: data/problems/test.parquet
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- config_name: open_problems_eval
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data_files:
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- split: train
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path: data/open_problems_eval/train.parquet
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- config_name: research_prompts
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data_files:
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- split: train
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path: data/research_prompts/train.parquet
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- split: validation
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path: data/research_prompts/validation.parquet
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- split: test
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path: data/research_prompts/test.parquet
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---
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# π§ Unsolved Math β Clean
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<div align="center">
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<img src="https://res.cloudinary.com/cmazqjs6/image/upload/racer_is_op_banner_branded_pu7zud.png" alt="RACER IS OP" width="100%">
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</div>
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<br>
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**8,626 curated open research problems** in mathematics and CS β including 122 Millennium Prize Problems β deduplicated, schema-flattened, and packaged as proper parquet configs with an eval-only benchmark view.
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> **A reasoning frontier dataset:** every problem here is *actually unsolved or partially solved* β ideal for honest capability probing instead of contaminated benchmarks.
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Clean derivative of [ulamai/UnsolvedMath](https://huggingface.co/datasets/ulamai/UnsolvedMath) (8,785 problems). License unchanged: **CC-BY-4.0**.
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## π§Ή Quality Pipeline
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| Step | Removed | Reason |
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|------|--------:|--------|
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| Raw input | 8,785 | Nested JSON |
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| **Duplicate titles** | 153 | Same problem listed twice |
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| **Empty statements** | 6 | No problem body |
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| **Final clean** | **8,626** | Flattened schema, deterministic splits |
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## π Composition
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By status:
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| Status | Problems |
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|--------|---------:|
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| Open | 4,354 |
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| Partially solved | 3,580 |
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| Solved | 692 |
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By difficulty:
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| Level | Problems |
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|-------|---------:|
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| L1: Tractable | 908 |
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| L2: Intermediate | 516 |
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| L3: Advanced | 6,143 |
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| L4: Expert | 937 |
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| L5: Millennium Prize | 122 |
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## π¦ Configs
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| Config | Rows | Description |
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|--------|-----:|-------------|
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| `problems` *(default)* | 8,626 | Full metadata: statement, background, status, difficulty, category, provenance |
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| `open_problems_eval` | 4,354 | Open problems only β benchmark/eval view |
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| `research_prompts` | 8,626 | Instruction-formatted: "analyze this open problem, discuss partial results and obstacles" |
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## π― Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("saidutta69/unsolved-math-clean", "problems", split="train")
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# Honest eval: only truly open problems
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ev = load_dataset("saidutta69/unsolved-math-clean", "open_problems_eval")
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# Research-style SFT prompts
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rp = load_dataset("saidutta69/unsolved-math-clean", "research_prompts")
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print(rp["train"][0]["instruction"][:300])
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```
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## β οΈ Notes
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- These are **unsolved problems** β there are no reference answers. Use for capability probing, calibration of hedging behavior, and research discussion; not for accuracy scoring.
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- LaTeX notation preserved verbatim.
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- Millennium-level problems are intentionally near-impossible; expect models to fail honestly.
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## π Citation
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```bibtex
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@misc{unsolved-math-clean,
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author = {Sai Dutta Abhishek Dash (clean); original by ulamai},
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title = {Unsolved Math β Clean},
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year = {2026},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/datasets/saidutta69/unsolved-math-clean}}
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}
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```
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cleanup_report.json
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{
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"initial": 8785,
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"clean": 8626,
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"dup_ids": 0,
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"dup_titles": 153,
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"empty_statements": 6,
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"unpublished_removed": 0,
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"by_status": {
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"open": 4354,
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"partially_solved": 3580,
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"solved": 692
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},
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"by_difficulty": {
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"L3: Advanced": 6143,
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"L4: Expert": 937,
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"L1: Tractable": 908,
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"L2: Intermediate": 516,
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"L5: Millennium Prize": 122
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}
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}
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data/open_problems_eval/train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ff3aa9c8a8d7cf4d7a49c886f4582dddbacbb9e74cbab0bf5eed8e1953b0c15
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size 891455
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data/problems/test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff4626c2d2697de5744e13e9e9a7fb2f5b3f816c28a562608edfd0d5a746b629
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size 375394
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data/problems/train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:b11727329bef336ccffe0a0b477a46194bf6c374c7dc6843f202b92de7c316b1
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size 5567451
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data/problems/validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:64b9ef44049feb613bd7cf5de85188975ed4775bfd219adb1f1b9af1924f3f79
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size 338190
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data/research_prompts/test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:e23861f647808796a7cb1b85b4dc394acfbca4d49f8dd0300d1d275c59f826c7
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size 350119
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data/research_prompts/train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:3805e15b58a76ce55bf75f578340874de05c2c7ba18789fdac5ab2daa90917a8
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size 5398034
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data/research_prompts/validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:0efc83aa6bf6e4ce41b4083b9c293a81b6e5decba98c98bba2b27d20f33ad966
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size 319276
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