# Commonsense Question Answering on CommonsenseQA (Score)

Source: [Commonsense Question Answering on CommonsenseQA (Score)](<https://www.sota2.com/research/sota/commonsense-question-answering-on-commonsenseqa-score>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-01T08:30:16.899Z

Evaluation of model performance on the CommonsenseQA dataset for Commonsense Question Answering, measured using a metric generically labeled 'Score'.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Commonsense Question Answering |
| Dataset (including any stated split) | CommonsenseQA |
| Metric | Score |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Score](<https://www.sota2.com/research/sota/commonsense-question-answering-on-commonsenseqa-score.md?metric=Score>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Score | Result date | Report paper |
| --- | --- | --- | --- |
| Nemotron-CC\_ASI+ | 39.12 | Not recorded | 69cca6cd0636e5bf4afcbe7c |
| Nemotron-CC\_ASI | 20.61 | Not recorded | 69cca6cd0636e5bf4afcbe7c |
| Nemotron-CC | 20.31 | Not recorded | 69cca6cd0636e5bf4afcbe7c |
| DCLM | 20.16 | Not recorded | 69cca6cd0636e5bf4afcbe7c |
| Ultra-Fineweb | 19.9 | Not recorded | 69cca6cd0636e5bf4afcbe7c |
| Fineweb-Edu | 19.54 | Not recorded | 69cca6cd0636e5bf4afcbe7c |

### Nemotron-CC\_ASI+

Score: 39.12. Result ID: 69ccd78947f34ce924b6826b.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

[Implementation](<https://github.com/GAIR-NLP/ASI-Evolve>)

Recorded evaluation configuration: {"Pre-training Curation Strategy":"AI Discovered","Model Parameters":"3B","Training Token Budget":"500B tokens"}. This record does not assert independent reproduction.

### Nemotron-CC\_ASI

Score: 20.61. Result ID: 69ccd78947f34ce924b6826a.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

[Implementation](<https://github.com/GAIR-NLP/ASI-Evolve>)

Recorded evaluation configuration: {"Pre-training Curation Strategy":"AI Discovered","Model Parameters":"3B","Training Token Budget":"500B tokens"}. This record does not assert independent reproduction.

### Nemotron-CC

Score: 20.31. Result ID: 69ccd78947f34ce924b68269.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7ad31e209131cea855ab.md>)

Recorded evaluation configuration: {"Pre-training Curation Strategy":"AI Discovered","Model Parameters":"3B","Training Token Budget":"500B tokens"}. This record does not assert independent reproduction.

### DCLM

Score: 20.16. Result ID: 69ccd78947f34ce924b68268.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

Recorded evaluation configuration: {"Pre-training Curation Strategy":"Human Discovered","Model Parameters":"3B","Training Token Budget":"500B tokens"}. This record does not assert independent reproduction.

### Ultra-Fineweb

Score: 19.9. Result ID: 69ccd78947f34ce924b68267.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

Recorded evaluation configuration: {"Pre-training Curation Strategy":"Human Discovered","Model Parameters":"3B","Training Token Budget":"500B tokens"}. This record does not assert independent reproduction.

### Fineweb-Edu

Score: 19.54. Result ID: 69ccd78947f34ce924b68266.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6cd0636e5bf4afcbe7c.md>)

Recorded evaluation configuration: {"Pre-training Curation Strategy":"Human Discovered","Model Parameters":"3B","Training Token Budget":"500B tokens"}. This record does not assert independent reproduction.

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