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File Type: Tabular Data

1 to 10 of 307 Results

Thematic Analysis.tab Sep 4, 2026 - Architect interviews on the adoption of earth block masonry in Belgium, France, Germany, Luxembourg, the Netherlands and Switzerland (2024-2026) Tabular Data - 5.4 KB - 30 Variables, 37 Observations - UNF:6:L5b6urQGjgdncMxbgvZvcg== thematic analysis - results
tssq25_1_SUF_v2.0_CSV.tab Aug 28, 2026 - rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1) Tabular Data - 8.3 MB - 224 Variables, 2254 Observations - UNF:6:2wptholm/ZhVLRkyMklF/w== CSV export of the dataset v 2.0
tssq25_1_SUF_v2.0_SPSS.tab Aug 28, 2026 - rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1) Tabular Data - 1.6 MB - 224 Variables, 2254 Observations - UNF:6:qb1kur9VxUc6vdWn1vPtfw== SPSS export of the dataset v 2.0
tssq25_1_SUF_v2.0_STATA.tab Aug 28, 2026 - rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1) Tabular Data - 1.9 MB - 224 Variables, 2254 Observations - UNF:6:qb1kur9VxUc6vdWn1vPtfw== Stata export of the dataset v 2.0
combined_eval_scores3.tab Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Tabular Data - 1.4 KB - 13 Variables, 24 Observations - UNF:6:IHdDRnEBZ4B81/KMQBqVKA== Consolidated spreadsheet containing the evaluation scores of all experiments performed in this study. Facilitates comparison between off-the-shelf spaCy models, the custom-trained spaCy model, and the transformer-based models across different evaluation scenarios and entity types...
cv_results.tab Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Tabular Data - 1.8 KB - 6 Variables, 20 Observations - UNF:6:72/ohGHOKcR5yXwDUXrubA== Cross-validation results for the transformer-based NER models. Reports evaluation metrics across five training runs with the best hyperparameters per model to assess model robustness.
errors_camembertav2.tab Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Tabular Data - 13.8 KB - 10 Variables, 159 Observations - UNF:6:dX1zhbyrPPk1DreziVEOHw== Prediction errors produced by the fine-tuned CamemBERTav2 model. Used for qualitative comparison with the other transformer-based NER models.
errors_camembert.tab Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Tabular Data - 43.3 KB - 10 Variables, 529 Observations - UNF:6:LKJL6zjeIoC7+p0mefydwg== Prediction errors produced by the fine-tuned CamemBERT model. Documents incorrectly recognised, partially recognised, missed and spurious entities for qualitative error analysis.
errors_dalembert.tab Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Tabular Data - 16.0 KB - 10 Variables, 185 Observations - UNF:6:+TqzKZgt8g2h9mleixtmLw== Prediction errors produced by the fine-tuned D'AlemBERT model. Documents representative recognition errors analysed in the accompanying study.
errors_europeana.tab Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Tabular Data - 14.0 KB - 10 Variables, 161 Observations - UNF:6:r0qXPIXovg15bXXLwViguQ== Prediction errors produced by the fine-tuned Europeana BERT model. Supports the qualitative evaluation and comparison of transformer-based Named Entity Recognition models.

Thematic Analysis.tab

Sep 4, 2026 - Architect interviews on the adoption of earth block masonry in Belgium, France, Germany, Luxembourg, the Netherlands and Switzerland (2024-2026)

Tabular Data - 5.4 KB - 30 Variables, 37 Observations -

thematic analysis - results

tssq25_1_SUF_v2.0_CSV.tab

Aug 28, 2026 - rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1)

Tabular Data - 8.3 MB - 224 Variables, 2254 Observations -

CSV export of the dataset v 2.0

tssq25_1_SUF_v2.0_SPSS.tab

Aug 28, 2026 - rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1)

Tabular Data - 1.6 MB - 224 Variables, 2254 Observations -

SPSS export of the dataset v 2.0

tssq25_1_SUF_v2.0_STATA.tab

Aug 28, 2026 - rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1)

Tabular Data - 1.9 MB - 224 Variables, 2254 Observations -

Stata export of the dataset v 2.0

combined_eval_scores3.tab

Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal

Tabular Data - 1.4 KB - 13 Variables, 24 Observations -

Consolidated spreadsheet containing the evaluation scores of all experiments performed in this study. Facilitates comparison between off-the-shelf spaCy models, the custom-trained spaCy model, and the transformer-based models across different evaluation scenarios and entity types...

cv_results.tab

Tabular Data - 1.8 KB - 6 Variables, 20 Observations -

Cross-validation results for the transformer-based NER models. Reports evaluation metrics across five training runs with the best hyperparameters per model to assess model robustness.

errors_camembertav2.tab

Tabular Data - 13.8 KB - 10 Variables, 159 Observations -

Prediction errors produced by the fine-tuned CamemBERTav2 model. Used for qualitative comparison with the other transformer-based NER models.

errors_camembert.tab

Tabular Data - 43.3 KB - 10 Variables, 529 Observations -

Prediction errors produced by the fine-tuned CamemBERT model. Documents incorrectly recognised, partially recognised, missed and spurious entities for qualitative error analysis.

errors_dalembert.tab

Tabular Data - 16.0 KB - 10 Variables, 185 Observations -

Prediction errors produced by the fine-tuned D'AlemBERT model. Documents representative recognition errors analysed in the accompanying study.

errors_europeana.tab

Tabular Data - 14.0 KB - 10 Variables, 161 Observations -

Prediction errors produced by the fine-tuned Europeana BERT model. Supports the qualitative evaluation and comparison of transformer-based Named Entity Recognition models.

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