# Spoiler Type Classification on Clickbait Spoiler Dataset phrase-vs-passage (test)

Source: [Spoiler Type Classification on Clickbait Spoiler Dataset phrase-vs-passage (test)](<https://www.sota2.com/research/sota/spoiler-type-classification-on-clickbait-spoiler-dataset-phrase-vs-passage-test>)

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

Data updated: 2026-02-26T06:07:43.250Z

Evaluation of Spoiler Type Classification performance on the test split of the Clickbait Spoiler Dataset (phrase-vs-passage setting), measured using standard binary classification metrics like Accuracy, TP, TN, FP, and FN.

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 | Spoiler Type Classification |
| Dataset (including any stated split) | Clickbait Spoiler Dataset phrase-vs-passage (test) |
| Metric | True Positives (TP) |
| 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

- [True Positives (TP)](<https://www.sota2.com/research/sota/spoiler-type-classification-on-clickbait-spoiler-dataset-phrase-vs-passage-test.md?metric=True%20Positives%20(TP)>): Higher is better; unit: SCALAR.

- [True Negatives (TN)](<https://www.sota2.com/research/sota/spoiler-type-classification-on-clickbait-spoiler-dataset-phrase-vs-passage-test.md?metric=True%20Negatives%20(TN)>): Higher is better; unit: SCALAR.

- [False Positives (FP)](<https://www.sota2.com/research/sota/spoiler-type-classification-on-clickbait-spoiler-dataset-phrase-vs-passage-test.md?metric=False%20Positives%20(FP)>): Lower is better; unit: SCALAR.

- [False Negatives (FN)](<https://www.sota2.com/research/sota/spoiler-type-classification-on-clickbait-spoiler-dataset-phrase-vs-passage-test.md?metric=False%20Negatives%20(FN)>): Lower is better; unit: SCALAR.

- [Accuracy](<https://www.sota2.com/research/sota/spoiler-type-classification-on-clickbait-spoiler-dataset-phrase-vs-passage-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | True Positives (TP) | Result date | Report paper |
| --- | --- | --- | --- |
| RoBERTa | 332 | Not recorded | 68fa6c141e209131cea31ffd |
| DeBERTa | 318 | Not recorded | 68fa6c141e209131cea31ffd |
| BERT | 315 | Not recorded | 68fa6c141e209131cea31ffd |
| SVM | 311 | Not recorded | 68fa6c141e209131cea31ffd |
| Log. Regression | 306 | Not recorded | 68fa6c141e209131cea31ffd |
| Naïve Bayes | 298 | Not recorded | 68fa6c141e209131cea31ffd |

### RoBERTa

True Positives (TP): 332. Result ID: 698eca61ffc3901de0a13773.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c141e209131cea31ffd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66131e209131cea0e18b.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

Recorded evaluation configuration: {"Classification Setting":"one-vs-one (phrase-vs-passage)"}. This record does not assert independent reproduction.

### DeBERTa

True Positives (TP): 318. Result ID: 698eca61ffc3901de0a13772.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c141e209131cea31ffd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6aef1e209131cea2b2a6.md>)

[Implementation](<https://github.com/microsoft/DeBERTa111>)

Recorded evaluation configuration: {"Classification Setting":"one-vs-one (phrase-vs-passage)"}. This record does not assert independent reproduction.

### BERT

True Positives (TP): 315. Result ID: 698eca61ffc3901de0a13771.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c141e209131cea31ffd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Classification Setting":"one-vs-one (phrase-vs-passage)"}. This record does not assert independent reproduction.

### SVM

True Positives (TP): 311. Result ID: 698eca61ffc3901de0a1376f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c141e209131cea31ffd.md>)

Recorded evaluation configuration: {"Classification Setting":"one-vs-one (phrase-vs-passage)"}. This record does not assert independent reproduction.

### Log. Regression

True Positives (TP): 306. Result ID: 698eca61ffc3901de0a13770.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c141e209131cea31ffd.md>)

Recorded evaluation configuration: {"Classification Setting":"one-vs-one (phrase-vs-passage)"}. This record does not assert independent reproduction.

### Naïve Bayes

True Positives (TP): 298. Result ID: 698eca61ffc3901de0a1376e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c141e209131cea31ffd.md>)

Recorded evaluation configuration: {"Classification Setting":"one-vs-one (phrase-vs-passage)"}. This record does not assert independent reproduction.

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