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Valores separados por comas - 4,4 KB - MD5: 4aed7724259e1cf74fefe6f88a0ed945
File that contains the data collected via the VirtualWritingTutor grammar checker regarding the written errors produced by 50 L2 English adults who were asked to write two types of textual genres (informal emails and website articles)
Feb 25, 2026
Blanco Aza, Daniel; Robles-Gómez, Antonio; Pastor Vargas, Rafael; Tobarra, Llanos; Vidal Balboa, Pedro, 2026, "Dataset y Benchmark reproducible de lenguaje abusivo en español (IID vs OOD-LODO)", https://doi.org/10.21950/N5WZJS, e-cienciaDatos, V1
Benchmark reproducible (español) + harness de evaluación Este repositorio proporciona un benchmark reproducible para detección de lenguaje abusivo en español, diseñado para comparar modelos bajo protocolos cerrados y con trazabilidad por artefactos. El foco es medir robustez cross-dataset (IID vs. LODO) de forma auditable, evitando decisiones implí...
Valores separados por comas - 16,7 MB - MD5: fd1e2b4029d459f5c29d72970e37d2ec
Valores separados por comas - 16,7 MB - MD5: fd1e2b4029d459f5c29d72970e37d2ec
Texto plano - 960 B - MD5: 96884799b8aa2fdd59772b55e5f50079
Código fuente Python - 21,0 KB - MD5: c92e73764de33471e5f7709c0a088cea
Código fuente Python - 31,3 KB - MD5: f6062504d592afa1b2c7b4de657ac0da
Valores separados por comas - 2,4 KB - MD5: 810178f76d99c62c2e7572fe5b8e4891
Código fuente Python - 14,0 KB - MD5: 7c8c8daf977d7acb5a7c9879f964ae04
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