Lexmount
/

WebJev-35B-A3B

Text Classification

qwen3_5_moe_text

text-generation

typed-decisions

structured-output

mixture-of-experts

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sxh-lexmount commited on 6 days ago

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Model card: link the WebJev dataset

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@@ -19,7 +19,7 @@ tags:
 - one-pass
 - mixture-of-experts
 datasets:
-- Lexmount/liveweb-decision-data
 ---
 # WebJev-35B-A3B
@@ -269,7 +269,7 @@ The training mixture covers:
 - **General typed decisions.** Public classification, entailment, question-answering, routing, tool-use and
   policy-rule tasks in the System One question types (choice, noul, score), following the open Decider recipe.
-- **Web-agent decisions.** [LiveWeb-Decision](https://huggingface.co/datasets/Lexmount/liveweb-decision-data): 64K
   execution-verified action-prediction and element-grounding decisions on 1,443 live websites.
 - **Open-Jev typed decisions.** Browser control, reasoning, entity alignment, extraction and customer-support tasks.
 - **Knowledge and science.** Multiple-choice questions from Nemotron-RL-knowledge-mcqa and OpenScienceReasoning-2.

 - one-pass
 - mixture-of-experts
 datasets:
+- Lexmount/WebJev
 ---
 # WebJev-35B-A3B
 - **General typed decisions.** Public classification, entailment, question-answering, routing, tool-use and
   policy-rule tasks in the System One question types (choice, noul, score), following the open Decider recipe.
+- **Web-agent decisions.** [WebJev](https://huggingface.co/datasets/Lexmount/WebJev): 64K
   execution-verified action-prediction and element-grounding decisions on 1,443 live websites.
 - **Open-Jev typed decisions.** Browser control, reasoning, entity alignment, extraction and customer-support tasks.
 - **Knowledge and science.** Multiple-choice questions from Nemotron-RL-knowledge-mcqa and OpenScienceReasoning-2.