# gsm8k

> Eight thousand grade-school maths word problems, each with a worked solution and a single numeric answer.

Source: https://nodus-platform-site.pages.dev/docs/reference/environments/gsm8k/
Build revision: 211ad9f836655b1c3a2668c4693e442471f28614

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Eight thousand grade-school maths word problems, each with a worked solution and a single numeric answer.

|Field|Value|
|-|-|
|Reference|`nodus/gsm8k@1.0.0`|
|Image|`nodus/env-gsm8k:1.0.0`|
|Publisher|OpenAI|
|Category|Math|
|Readiness|Research|
|Modes|Train, Evaluate|
|Reward|Binary|
|Held-out measures|TrainedTask|
|Splits|7473 train, 1319 test (disjoint by canonical identity)|
|Licenses|code MIT, data MIT|
|Source|<https://huggingface.co/datasets/openai/gsm8k/tree/740312add88f781978c0658806c59bc2815b9866>|

## Grading

Completions are graded by the platform, never by the trainer: the trainer submits `{taskId, completion}` batches and the verdicts come back as task events.

|Grader|Kind|What it checks|
|-|-|-|
|`final-number`|Program|The last number, else the last number, equals the value after ####|

## Sample task

One line of `nodus-env tasks --split test --seed 0`; tasks never carry answers.

```json
{
  "metadata": {
    "source": "openai/gsm8k"
  },
  "prompt": "A fruit vendor bought 50 watermelons for $80. He sold all of them at a profit of 25%. How much was each watermelon sold?\n\nWork through the problem step by step, then give the final number inside answer tags, like \u003canswer\u003e42\u003c/answer\u003e.",
  "taskId": "gsm8k:test:0:0"
}
```

## Examples

Each example is a TrainingJob template. A baseline is shown only where the example was measured by running it.

|Example|Mode|Runtime|Model|Tasks|Baseline|Trained|Measured on|
|-|-|-|-|-|-|-|-|
|`gsm8k-trained`|Train|`nodus/grpo-lora`|Qwen/Qwen3-1.7B @ `70d244c`|64|79.7 %|87.5 %|a40-48g-x1, 2026-09-24|

Run one with a server dry-run first:

Terminal window

```console
$ nodus create trainingjob my-run --from-example nodus/gsm8k:gsm8k-trained --dry-run=server -o estimate
```

```python
import nodus

job = nodus.recipes.TrainingJob.from_example("nodus/gsm8k:gsm8k-trained")
plan = job.preview()
run = plan.run(max_cost=5)
print(run.wait().summary)
```