ai4data
/

datause-extraction

Token Classification

named-entity-recognition

forced-displacement

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rafmacalaba commited on Jun 29

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 # datause-extraction
-This repository contains the LoRA fine-tuned adapter weights (`v12-rerun`) for dataset mention extraction. It is trained on top of the base model `fastino/gliner2-large-v1`.
 It classifies spans into three categories:
 1. `named_data`: Proper named datasets, surveys, censuses, or registries (e.g., *Demographic and Health Survey*, *LFS*, *UNHCR PRIMES*).

 # datause-extraction
+This repository contains the fine-tuned LoRA adapter weights for dataset mention extraction, trained on top of the base model `fastino/gliner2-large-v1`.
 It classifies spans into three categories:
 1. `named_data`: Proper named datasets, surveys, censuses, or registries (e.g., *Demographic and Health Survey*, *LFS*, *UNHCR PRIMES*).