Social Sciences and Digital Humanities Archive

Metrics

66,593 Downloads

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Access: Restricted

11 to 20 of 243 Results

navez_spacy_off_the_shelf_nlp_lg_mismatches.csv 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 Comma Separated Values - 1.9 MB - MD5: 66e42633a3ae8e4f7ac2aa2bec9ba813 Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_lg NLP pipeline. Used for qualitative error analysis and comparison with the isolated NER workflow.
navez_spacy_off_the_shelf_nlp_lg_results.csv 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 Comma Separated Values - 156.8 KB - MD5: 0c0b15b22c6286d52351ce6df21146e7 Model predictions generated by the off-the-shelf fr_core_news_lg model using the complete spaCy NLP pipeline (Workflow 2). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.
navez_spacy_off_the_shelf_nlp_sm_mismatches.csv 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 Comma Separated Values - 2.1 MB - MD5: 25c9405590014091e5d08bf4aebb8301 Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_sm NLP pipeline. Used for the qualitative error analysis and identification of recurring recognition errors.
navez_spacy_off_the_shelf_nlp_sm_results.csv 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 Comma Separated Values - 157.0 KB - MD5: 1128164075ad2b33e1902c44b764d000 Model predictions generated by the off-the-shelf fr_core_news_sm model using the complete spaCy NLP pipeline (Workflow 2). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.
project-237-at-2025-05-25-08-36-f874dc2a-2.json 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 JSON - 198.6 KB - MD5: 72da0345995240cc733071556d1a647e Part 1 - JSON export from Label Studio containing manually annotated nineteenth-century French correspondence from the Navez Project. Includes entity annotations, transcriptions and project metadata. Used as source data for preprocessing and model training.
project-238-at-2025-05-25-08-34-694e26ec-2.json 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 JSON - 575.1 KB - MD5: 526f06d4f9ce02a351f068df4162d62b Part 2 - JSON export from Label Studio containing manually annotated nineteenth-century French correspondence from the Navez Project. Includes entity annotations, transcriptions and project metadata. Used as source data for preprocessing and model training.
test_set-2.csv 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 Comma Separated Values - 117.5 KB - MD5: c079a2cd638f0797e2b2ec4e06348e29 Held-out test split used exclusively for final evaluation of the trained NER models.
test_set-2.pkl 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 Unknown - 6.8 MB - MD5: ebeb69df35b8eecb39e9ce2342040c8d The file contains manually annotated letter transcriptions and their token-level entity labels. For each letter, it includes the manuscript identifier, full transcription, tokenized text, annotated entities and entity types, character and token spans, remapped annotations, and IO...
training_set-2.csv 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 Comma Separated Values - 730.5 KB - MD5: 8da5d01228c4818dddce6a97272b18be Held-out test partition of the gold-standard corpus used exclusively for final evaluation of the NER models after training.
training_set-2.pkl 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 Unknown - 24.8 MB - MD5: 050192c781468337fb7718810e8316b7 Python Pickle version of the held-out test dataset used in the evaluation pipeline.

navez_spacy_off_the_shelf_nlp_lg_mismatches.csv

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

Comma Separated Values - 1.9 MB -

Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_lg NLP pipeline. Used for qualitative error analysis and comparison with the isolated NER workflow.

navez_spacy_off_the_shelf_nlp_lg_results.csv

Comma Separated Values - 156.8 KB -

Model predictions generated by the off-the-shelf fr_core_news_lg model using the complete spaCy NLP pipeline (Workflow 2). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.

navez_spacy_off_the_shelf_nlp_sm_mismatches.csv

Comma Separated Values - 2.1 MB -

Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_sm NLP pipeline. Used for the qualitative error analysis and identification of recurring recognition errors.

navez_spacy_off_the_shelf_nlp_sm_results.csv

Comma Separated Values - 157.0 KB -

Model predictions generated by the off-the-shelf fr_core_news_sm model using the complete spaCy NLP pipeline (Workflow 2). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.

project-237-at-2025-05-25-08-36-f874dc2a-2.json

JSON - 198.6 KB -

Part 1 - JSON export from Label Studio containing manually annotated nineteenth-century French correspondence from the Navez Project. Includes entity annotations, transcriptions and project metadata. Used as source data for preprocessing and model training.

project-238-at-2025-05-25-08-34-694e26ec-2.json

JSON - 575.1 KB -

Part 2 - JSON export from Label Studio containing manually annotated nineteenth-century French correspondence from the Navez Project. Includes entity annotations, transcriptions and project metadata. Used as source data for preprocessing and model training.

test_set-2.csv

Comma Separated Values - 117.5 KB -

Held-out test split used exclusively for final evaluation of the trained NER models.

test_set-2.pkl

Unknown - 6.8 MB -

The file contains manually annotated letter transcriptions and their token-level entity labels. For each letter, it includes the manuscript identifier, full transcription, tokenized text, annotated entities and entity types, character and token spans, remapped annotations, and IO...

training_set-2.csv

Comma Separated Values - 730.5 KB -

Held-out test partition of the gold-standard corpus used exclusively for final evaluation of the NER models after training.

training_set-2.pkl

Unknown - 24.8 MB -

Python Pickle version of the held-out test dataset used in the evaluation pipeline.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications