97,497 benchmark-formatted items: 35,274 numerical + 62,223 yes/no from ArXivOpenProblems
Browse files- README.md +156 -0
- data/numerical-00000-of-00002.parquet +3 -0
- data/numerical-00001-of-00002.parquet +3 -0
- data/yesno-00000-of-00003.parquet +3 -0
- data/yesno-00001-of-00003.parquet +3 -0
- data/yesno-00002-of-00003.parquet +3 -0
- stats.json +11 -0
README.md
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| 1 |
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---
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license: cc-by-4.0
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task_categories:
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- question-answering
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language:
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- en
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tags:
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- mathematics
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- arxiv
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- open-problems
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- benchmark-format
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: numerical
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data_files:
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- split: train
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path: data/numerical-*.parquet
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- config_name: yesno
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data_files:
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- split: train
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path: data/yesno-*.parquet
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---
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# ArXivOpenProblems — Benchmark Formats
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**97,497 research-level mathematics questions reformatted into benchmark-shaped items**,
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derived from [`amphora/ArXivOpenProblems`](https://huggingface.co/datasets/amphora/ArXivOpenProblems).
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Two configs:
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| config | rows | the answer is |
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|---|---:|---|
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| `numerical` | **35,274** | a single number |
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| `yesno` | **62,223** | Yes or No |
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## ⚠️ There are no answer keys
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Every item derives from a **future-work or open-problem statement** in an arXiv paper. The
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answers are, by construction, **not known** — not to the source paper and in most cases not to
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the literature. This is a corpus of *well-posed unanswered questions*, **not a scoreable
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benchmark**. Do not use it to compute accuracy without sourcing answers independently.
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## How a research question becomes a number
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Most source questions ask whether something holds, not for a value. The conversion uses seven
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routes; `route` records which was applied.
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| route | construction | share of `numerical` |
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|---|---|---:|
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| **B** | minimal counterexample: "smallest *p* at which the property fails; −1 if none" | **80.8%** |
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| E | size of the exceptional set (0 = the original's "yes") | 6.6% |
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| A | the question already asked for a quantity | 6.0% |
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| C | the sharp constant in an inequality | 2.5% |
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| D | the critical value of a continuous parameter | 2.4% |
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| G | count of a finite classification | 1.4% |
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| F | minimal/maximal multiplicity or order (1 = the original's "yes") | 0.3% |
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Route B dominates. `distinguished_value` gives the number corresponding to the original
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question's "yes" — usually `-1`.
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**Route B strengthens the problem.** "Is there a counterexample?" and "what is the smallest
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counterexample?" are different questions; the second is strictly harder. The reformulation is
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faithful in that the distinguished value is equivalent to the original's affirmative answer,
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but the item is not of equal difficulty to its source.
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## Fields
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| field | description |
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|---|---|
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| `uid` | `<arxiv_id>#<index>`, joins to the source dataset |
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| `arxiv_id`, `paper_url` | provenance |
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| `primary_category` | arXiv category of the source paper |
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| `signal_type` | source statement type: `conjecture`, `limitation`, `open_problem`, `natural_extension`, `announced_forthcoming` |
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| `question_category` | logical shape of the **original** question (see below) |
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| `format` | `numerical` or `yesno` |
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| `route` | `A`–`G` for numerical items, `null` for yes/no |
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| `question` | the reformatted item |
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| `answer_convention` | one sentence on what the answer means |
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| `distinguished_value` | number equal to the original's "yes", or `null` |
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| `source_question` | the unmodified original |
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| `engine` | `openai/gpt-6-sol` |
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`question_category` is one of `universality`, `existence`, `extension`, `characterization`,
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`construction`, `comparison`, `classification`, `quantity` — assigned during conversion, so no
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re-classification is needed.
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## What converts, and what doesn't
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Numerical yield by logical shape of the source question:
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| question_category | → numerical |
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|---|---:|
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| universality ("does P hold for every X") | **~65%** |
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| quantity | ~59% |
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| classification | ~42% |
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| existence | ~29% |
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| extension | ~21% |
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| construction | ~19% |
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| characterization | ~13% |
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| comparison | ~9% |
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By source statement type, measured on the full run:
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| signal_type | n | → numerical |
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|---|---:|---:|
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| conjecture | 39,444 | **50%** |
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| open_problem | 8,756 | 37% |
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| announced_forthcoming | 897 | 31% |
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| limitation | 41,265 | 25% |
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| natural_extension | 7,197 | 24% |
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Universality statements convert because negating "for all *n*" yields a minimal counterexample.
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Questions asking for a *construction*, a *characterization*, or a qualitative *comparison* have
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no number in them, and no reformulation produces one — those became yes/no items.
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## Construction and filtering
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Converted with `openai/gpt-6-sol` via the OpenRouter batch API, temperature 0.2. 98,000 source
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questions in, 97,497 kept. Removed: 441 unparseable responses, 55 items where a yes/no answer
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had been encoded numerically (indicator variables, `2a+b`), 4 degenerate short items, 3
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duplicate uids.
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The conversion prompt forbade encoding booleans as numbers; the residual rate was 0.16% before
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filtering and 0 after.
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## Caveats
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- **No answer keys.** Restating the warning above because it determines what this dataset is for.
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- **`yesno` items are unverified claims**, not labelled true/false.
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- **Route B items are harder than their sources.**
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- **A small number of `arxiv_id` values are wrong**, inherited from the source dataset: for part
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of that corpus the id came from a model-written field rather than the filename, so a few
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questions are attached to the wrong paper.
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- **`signal_type` is an extraction label**, not a verified claim that a problem is still open.
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## Licensing
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Questions and derived fields: CC-BY-4.0. `source_question` is inherited from
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`amphora/ArXivOpenProblems`. Unlike that dataset, no verbatim paper excerpts are included here.
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## Citation
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| 143 |
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```
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@article{son2026researchmath,
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title={ResearchMath-14K: Scaling Research-Level Mathematics via Agents},
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author={Son, Guijin and Yi, Seungyeop and Gwak, Minju and Ko, Hyunwoo and Jang, Wongi and Yu, Youngjae},
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journal={arXiv preprint arXiv:2605.28003},
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| 149 |
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year={2026}
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}
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```
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## Collaborations
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I'm interested in creating larger datasets to train open models for research-level math.
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If you are interested let me know. ([guijin.son@snu.ac.kr](mailto:guijin.son@snu.ac.kr))
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6ba93d5a379bddf8e0e6f8ed0848ecdb87704ad863c21f124962891523ff884
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size 17308207
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version https://git-lfs.github.com/spec/v1
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oid sha256:373c429dfd0745a6a7a681488bfdb131b3b1f759d9ad51a88729a7b92d96d255
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size 9271123
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data/yesno-00000-of-00003.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bab6e8bbf16f66fdded28604b54b6b147dcb134a161f761587c8ce564161ffc
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size 18923860
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data/yesno-00001-of-00003.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c164148dd7ea54e84c557b14720f2d83d49c4c4e81f719423874efa44b02147b
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size 23172035
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version https://git-lfs.github.com/spec/v1
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oid sha256:ffe078158fe4c75cd9d2ebefdca972ec600c4b39bcf519331da6e9acfebd7aea
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size 11863870
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stats.json
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{
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"kept": 97497,
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"numerical": 35274,
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"yesno": 62223,
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"dropped": {
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"parse_error": 441,
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"bit_packed": 55,
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"too_short": 4,
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"duplicate_uid": 3
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}
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}
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