# Question Answering on ARC-Challenge Spanish Source: [Question Answering on ARC-Challenge Spanish]() Collection index: [llms.txt]() Data updated: 2026-04-23T10:55:26.165Z Evaluation of model performance on the Spanish version of the ARC Challenge dataset for Question Answering, measured using normalized accuracy (acc\_norm). 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 | Question Answering | | Dataset (including any stated split) | ARC-Challenge Spanish | | Metric | Normalized Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | 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 - [Normalized Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Normalized Accuracy | Result date | Report paper | | --- | --- | --- | --- | | ML (15%) | 34.36 | Not recorded | 69e9a78a55a3c32af89f7037 | | MKC-e | 32.91 | Not recorded | 69e9a78a55a3c32af89f7037 | | ML (Q3) | 32.82 | Not recorded | 69e9a78a55a3c32af89f7037 | | HQ seed | 32.74 | Not recorded | 69e9a78a55a3c32af89f7037 | | ML | 32.48 | Not recorded | 69e9a78a55a3c32af89f7037 | | HQ | 30.77 | Not recorded | 69e9a78a55a3c32af89f7037 | | No filtering | 29.91 | Not recorded | 69e9a78a55a3c32af89f7037 | ### ML (15%) Normalized Accuracy: 34.36. Result ID: 69e9fa8247f34ce924d1faca. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Filtering strategy":"ML (15%)"}. This record does not assert independent reproduction. ### MKC-e Normalized Accuracy: 32.91. Result ID: 69e9fa8247f34ce924d1fac8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Filtering strategy":"MKC-e"}. This record does not assert independent reproduction. ### ML (Q3) Normalized Accuracy: 32.82. Result ID: 69e9fa8247f34ce924d1facb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Filtering strategy":"ML (Q3)"}. This record does not assert independent reproduction. ### HQ seed Normalized Accuracy: 32.74. Result ID: 69e9fa8247f34ce924d1fac7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Filtering strategy":"HQ seed"}. This record does not assert independent reproduction. ### ML Normalized Accuracy: 32.48. Result ID: 69e9fa8247f34ce924d1fac9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Filtering strategy":"ML"}. This record does not assert independent reproduction. ### HQ Normalized Accuracy: 30.77. Result ID: 69e9fa8247f34ce924d1fac6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Filtering strategy":"HQ"}. This record does not assert independent reproduction. ### No filtering Normalized Accuracy: 29.91. Result ID: 69e9fa8247f34ce924d1fac5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Filtering strategy":"No filtering"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.