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Datasets:
ORCHORDS
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dgn-math-problems

Tasks:
Text Generation
Question Answering
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
mathematics
math
math-benchmark
benchmark
evaluation
eval
Libraries:
Datasets
pandas
Polars
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dgn-math-problems / README.md
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---
license: other
license_name: dgn-math-benchmark-research-use
license_link: https://huggingface.co/datasets/ORCHORDS/dgn-math-problems
pretty_name: DGN Math Benchmark
tags:
- mathematics
- math
- math-benchmark
- benchmark
- evaluation
- eval
- reasoning
- text-to-math
- math-reasoning
- latex
- algebra
- trigonometry
- geometry
- inequalities
- word-problems
- worked-solutions
- english
- english-translation
- mixed
task_categories:
- text-generation
- question-answering
language:
- en
size_categories:
- 10K<n<100K
library_name: datasets
library:
- datasets
- pandas
- pyarrow
configs:
- config_name: full
data_files:
- split: train
path: data/full/train-*.parquet
- split: test
path: data/full/test-*.parquet
- config_name: qa
data_files:
- split: train
path: data/qa/train-*.parquet
- split: test
path: data/qa/test-*.parquet
- config_name: verified
data_files:
- split: train
path: data/verified/train-*.parquet
- split: test
path: data/verified/test-*.parquet
- config_name: core
data_files:
- split: train
path: data/core/train-*.parquet
- split: test
path: data/core/test-*.parquet
- config_name: extended
data_files:
- split: train
path: data/extended/train-*.parquet
- split: test
path: data/extended/test-*.parquet
- config_name: exercises
data_files:
- split: train
path: data/exercises/train-*.parquet
- split: test
path: data/exercises/test-*.parquet
---
# DGN Math Benchmark
**12,592 mathematics problems, built and machine-verified by us.** 2,755 of them carry an
answer that a symbolic engine confirmed, and those form the scored split.
> Every answer in this dataset was put through a real computational engine (SymPy).
> Where the engine produced a concrete counterexample, the answer was either replaced by a
> recomputed value that the engine then re-verified (`corrected`), or the row was kept with
> the original answer and flagged (`refuted`). Where the check was inconclusive the row is
> flagged `suspected` and is **not** counted as an error in the source. Nothing was silently
> corrected, and every row says in `answer_status` exactly how much its answer was checked.
## What this is
An English-language mathematics benchmark for evaluating language models on
problem solving. Problems are given in LaTeX, 5,105 of the 12,592 items
carry a worked solution, and the final answer is stored in the standard MATH convention
(`\boxed{...}`), so the dataset drops straight into the usual math harnesses.
## Configs
| config | rows | what it is |
|---|---|---|
| `full` | 12,592 | every problem, every column, including the unverified ones |
| `qa` | 12,592 | the minimal MATH-style columns: problem, answer, metadata |
| `verified` | 2,755 | **the scored split** - only rows whose answer the engine confirmed |
| `core` | 3,617 | the main collection: algebra, trigonometry, progressions, logarithms, inequalities |
| `extended` | 8,455 | the extended collections: entrance algebra, the full syllabus, parameters, trigonometry, plane geometry |
| `exercises` | 520 | machine-made exercises whose answers are computed and re-checked |
Each config has a deterministic 85/15 train/test split (seed 42), stratified by
collection and chapter. A problem that is printed more than once - in two chapters
of one collection or in two collections - keeps all of its copies in the same half,
so no problem of the test half was in the train half.
## Columns (`full`)
| column | type | meaning |
|---|---|---|
| `id` | string | stable identifier, e.g. `dgn.core.1.122` |
| `problem_id` | string | the number of the problem in its collection |
| `collection` | string | which collection the problem comes from (`core`, `algebra`, `syllabus`, ...) |
| `source` | string | the benchmark this problem belongs to (`dgn_math`) |
| `source_title` | string | the title of the benchmark |
| `chapter` | int | chapter / topic number |
| `chapter_title` | string | chapter / topic name |
| `group` | string | group of the problem inside its chapter, as printed in the source (`A`, `B`, `C`); empty when the source names no group |
| `difficulty` | string | difficulty mark of the problem (`□` easy, `■` hard); empty when the source prints no difficulty mark |
| `problem` | string | the statement, LaTeX, inline `$...$` and display `$$...$$` |
| `solution` | string | the worked solution; where the row carries an answer it ends in the boxed answer |
| `final_answer` | string | the gold answer as bare LaTeX (no `$`, no `\boxed`) |
| `final_answer_boxed` | string | the same answer as `\boxed{...}` |
| `answer_status` | string | `verified` / `corrected` / `refuted` / `suspected` / `disputed` / `unverifiable` / `no-gold` |
| `verification_note` | string | what the engine checked and what it found |
| `page` | int | the page of the source material the problem comes from |
### Answer status
| status | count | meaning |
|---|---|---|
| `verified` | 2,705 | the engine substituted the answer back into the problem and it held |
| `corrected` | 50 | the original answer was refuted and replaced by a re-verified recomputation |
| `refuted` | 68 | the engine found a concrete counterexample: the answer does not hold |
| `suspected` | 271 | the engine found a difference, but it is not settled whether the source or the transcription is at fault - **not** counted as an error in the source |
| `disputed` | 85 | a third read of the source disagreed with the bulk transcription |
| `unverifiable` | 4,228 | outside the reach of automatic checking |
| `no-gold` | 5,185 | the source carries no answer for this problem |
`verified` means the engine substituted the answer back into the problem and it held.
`corrected` means the original answer was refuted and replaced by a recomputed answer
that the engine then re-verified. `refuted` means the engine produced a **concrete
counterexample** - the root fails the equation, the tuple satisfies no equation of the
system, or the interval misses a point that satisfies the inequality. `suspected` means
the engine found a difference but it is not settled whether the source or the
transcription is at fault - a difference in a radical's scope can look the same, and a
page that has not been read again cannot decide it; these are **not** counted as errors
in the source. `disputed` means a third independent read of the source disagreed with the
bulk transcription. `unverifiable` means an answer exists but is outside the reach of
automatic checking - word problems, open-ended proofs, and answers that are neither a
number nor a set. `no-gold` means the source carries no answer for that problem.
Only `verified` and `corrected` rows are scored.
## Answer format
The convention is the one used by the MATH dataset and by the standard evaluation
harnesses:
* inline mathematics is written `$...$`, display mathematics `$$...$$`
* the gold answer is stored twice: `final_answer` holds the bare LaTeX
(`\frac{3}{4}`), `final_answer_boxed` holds `\boxed{\frac{3}{4}}`
* the `solution` column of every row that carries an answer ends with the boxed
answer, so a harness that extracts the
last `\boxed{...}` from the solution gets the same string
* decimals use a point, never a comma
* there is no mixing of `\(...\)` and `$...$` delimiters
```python
from datasets import load_dataset
ds = load_dataset("ORCHORDS/dgn-math-problems", "verified", split="test")
print(ds[0]["problem"])
print(ds[0]["final_answer_boxed"])
```
## Scoring
The scoring model, the comparison tiers and a reporting template are documented in
`BENCHMARKING.md` at the root of this repository, and implemented in
`evaluate_benchmark.py`. In short, a prediction is compared with the gold answer at
four strengths - exact string, numeric, symbolic and set equivalence - and the
strictest tier that decides the item is the one that is reported, so a model cannot
be rewarded for a merely numerically close answer.
```bash
python evaluate_benchmark.py \
--dataset hf_dataset/data/verified/test-00000-of-00001.parquet \
--predictions predictions.jsonl \
--out report.json
```
## How the data was produced
1. **Collection.** The problems were collected, translated into English and written
out as structured JSON with LaTeX, twice, with the two passes arbitrated by SymPy.
2. **Verification.** Every answer was checked with SymPy: back-substitution into
equations and systems, exact endpoint evaluation for inequalities, symbolic
evaluation for limits and integrals, numeric identity testing for proofs.
3. **Adjudication.** Every flagged answer was re-read a third time, directly from
the source, and only corrections that the engine could confirm were written back.
4. **Exercises.** The machine-made exercises are produced by templates that compute
the answer with SymPy and then re-check it; an item that fails the re-check is
dropped. A second, independent verifier per topic re-derives every answer from
the published statement without using the generator, and a negative test makes
sure that a perturbed answer is rejected.
## What was left out, and what is still missing
An item is only published when it is an exercise with a statement that can be read
off the page. 358 printed items were left out because they are not
exercises at all - a figure and its caption, a section heading, a table of contents,
a page of exposition, or the answer key of a chapter, whose answers are published
with the exercise they belong to. 3 further items were left out
because their statement could not be recovered with certainty.
Four limitations are worth knowing about:
* a statement that runs over the foot of a page was recovered by reading the page
again; where the missing words could not be read with certainty, the item was
left out rather than published with a guessed question;
* a page of the source can print two exam variants side by side, and the two
blocks use the same numbers. Where that happened, one of the two blocks was
kept and the other left out, so around sixty printed exercises are not in this
release;
* a printed exam variant carries the statements of all of its tasks in one place
and their answers in one numbered key. Every such variant was split into its
own tasks, so that each task carries its own answer. Where the key could not
be read off the page with certainty, the tasks are published without an answer
rather than with the answer of a neighbouring task;
* two collections contain a handful of items whose statement stands in two
collections. They are kept in the same half of the split, so no problem of the
test half was in the train half.
## Origin and rights
The English statements, the structured extraction, the answer verification and this
curation are ours. The statements themselves are third-party Russian-language
university entrance mathematics material published on postypashki.ru; rights in those
texts remain with their authors and publishers, so `license` is `other` and this
release is for research and evaluation use.
The `answer_status` and `verification_note` columns exist so that any user of this
benchmark can see exactly how much trust each item's answer has earned.