# Aspect Number Prediction on D-WikiHow (test)

Source: [Aspect Number Prediction on D-WikiHow (test)](<https://www.sota2.com/research/sota/aspect-number-prediction-on-d-wikihow-test>)

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

Data updated: 2026-02-26T05:26:30.006Z

Evaluation of Aspect Number Prediction performance on the test split of the D-WikiHow dataset, measured using Absolute Aspect Number Difference.

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 | Aspect Number Prediction |
| Dataset (including any stated split) | D-WikiHow (test) |
| Metric | Abs Aspect Number Difference |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 3 of 3 |
| 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

- [Abs Aspect Number Difference](<https://www.sota2.com/research/sota/aspect-number-prediction-on-d-wikihow-test.md?metric=Abs%20Aspect%20Number%20Difference>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Abs Aspect Number Difference | Result date | Report paper |
| --- | --- | --- | --- |
| MODABS | 1.48 | Not recorded | 68fa73a91e209131cea5dbd4 |
| Classifier | 1.89 | Not recorded | 68fa73a91e209131cea5dbd4 |
| Cluster | 2.69 | Not recorded | 68fa73a91e209131cea5dbd4 |

### MODABS

Abs Aspect Number Difference: 1.48. Result ID: 6993070a3a6c3148491329fa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73a91e209131cea5dbd4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73a91e209131cea5dbd4.md>)

[Implementation](<https://github.com/xiaobo-guo/MODABS>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Classifier

Abs Aspect Number Difference: 1.89. Result ID: 6993070a3a6c3148491329f8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73a91e209131cea5dbd4.md>)

Recorded evaluation configuration: {"Type":"Fine-tuned classifier"}. This record does not assert independent reproduction.

### Cluster

Abs Aspect Number Difference: 2.69. Result ID: 6993070a3a6c3148491329f9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73a91e209131cea5dbd4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73a81e209131cea5db98.md>)

Recorded evaluation configuration: {"Model":"BERTopic","Hyperparameters":"Adjusted"}. This record does not assert independent reproduction.

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