31 to 40 of 266 Results
Comma Separated Values - 156.9 KB -
MD5: 7c28c59d7b17430f781573f98a1a5833
Model predictions generated by the off-the-shelf fr_core_news_lg model using the isolated NER component (Workflow 1). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set. |
Comma Separated Values - 2.2 MB -
MD5: fdd354911d784ba25ace9972ad447335
Token-level comparison between predicted and gold-standard IOB labels for the off-the-shelf fr_core_news_sm model. Used for qualitative error analysis and identification of recurring recognition errors. |
Comma Separated Values - 157.2 KB -
MD5: 5f684b97b3c570eb8ada7751bdb6a075
Model predictions generated by the off-the-shelf fr_core_news_sm model using the isolated NER component (Workflow 1). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set. |
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. |
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. |
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. |
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. |
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. |
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. |
Comma Separated Values - 117.5 KB -
MD5: c079a2cd638f0797e2b2ec4e06348e29
Held-out test split used exclusively for final evaluation of the trained NER models. |
