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ad-classifier-v0.2

Text Classification

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jmvcoelho commited on Mar 3

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@@ -47,7 +47,7 @@ preds = classify(["sample_text_1", "sample_text_2"])
 Objective: Given (query, answer) pair, generate new_answer which contains an advertisement.
-### Initial Data:
 - queries: Obtained from MS-MARCO V2.1 QA task. 150K subset of queries that are associated with a "well formed answer"
 - answer: Generated with Qwen2.5-7B-Instruct using RAG with 10 passages (from our model.)

 Objective: Given (query, answer) pair, generate new_answer which contains an advertisement.
+### Obtaining (query, answer) pairs:
 - queries: Obtained from MS-MARCO V2.1 QA task. 150K subset of queries that are associated with a "well formed answer"
 - answer: Generated with Qwen2.5-7B-Instruct using RAG with 10 passages (from our model.)